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Version Date: November 18, 2010
Technical Support Document Summary: University of Minnesota Class 3 and Class 4 Water Quality Standards Review Minnesota Surface Water Quality Investigation – Industrial Supply, Irrigation and Livestock Uses June 29, 2010 Introduction: The following summary provides a brief overview regarding possible changes to the State’s Class 3 (Industrial Consumption) and Class 4 (Agriculture and Wildlife) water quality standards found in Minn. R. 7050.0223 and Minn. R. 7050.0224, respectively. This summary was completed by MPCA staff based on their review of the University of Minnesota (U of M) Class 3 and Class 4 Water Quality Standards Review report and correspondence with the U of M authors. Background Information: The Class 3 and the Class 4 standards were first adopted into rule on a state-wide basis in the late 1960s and have remained largely unchanged since that time. Over the last eight-to-ten years, certain industrial sector dischargers have been assigned stringent "salt-related" effluent limits. This is especially true for food processing industries and ethanol production facilities that employ water conservation techniques or process their incoming water using reverse osmosis technologies and that discharge their treated wastewaters to low flow receiving waters. In many of these instances, the Class 3 and Class 4 water quality standards translate into "end of pipe" limitations; often times protecting a resource that, due to its low flow characteristics, does not provide sustainable water for either industrial or irrigation purposes. This situation is not restricted to industrial dischargers. Effluents of similar quality can also be found in municipal wastewater treatment facility discharges, particularly those in hard water areas of the state where water softening is done on an individual basis. While a re-examination of the Class 3 and Class 4 standards has been proposed several times in the past, other priority rule related issues have taken precedence ahead of the re-evaluation of these standards. As part of the 2008-2012 triennial rulemaking review, the Minnesota Pollution Control Agency (MPCA) contracted with the Department of Bioproducts and Biosystems Engineering at the U of M to conduct this re-examination. University faculty and staff with expertise in the area of industrial water use requirements and quality control, crop production, irrigation, and livestock and wildlife physiology participated in this review. The work product of this re-examination is the appended technical report titled Minnesota Surface Water Quality Investigation – Industrial Supply, Irrigation and Livestock Uses. This technical report is intended to serve as a key resource document providing information in support of potential rule amendments to the standards associated with the Class 3 and Class 4 use classifications. Recommended and Proposed Class 3 and Class 4 Rule Changes: The tables below show a comparison of existing Class 3 and Class 4 water quality standards and the recommended changes and additions contained in the U of M report and/or those that are
wq-s6-17
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being proposed by MPCA staff. As with other documents and comments provided to the MPCA on the re-examination of the Class 3 and Class 4 water quality standards, the U of M recommendations will be considered by MPCA staff in the development of the Statement of Need and Reasonableness (SONAR). The rulemaking SONAR, which is the State’s affirmative presentation of information supporting proposed rule amendments, is scheduled for completion in late summer, 2011. Additional literature reviews and searches are being conducted in order to evaluate these recommendations with an eye towards conditions and applications specific to Minnesota. As such, the values listed in the tables below, or the range of values listed below, are considered to be draft listings which may change as MPCA staff move further along the rulemaking review process. Class 3 Industrial Consumption Use Class 3 Industrial Consumption Use – Existing Standards Class Chlorides mg/L Total Hardness
(Ca + Mg as CaCO3) mg/L
pH minimum pH maximum
3A 50 50 6.5 8.5 3B 100 250 6.0 9.0 3C 250 500 6.0 9.0 3D Maintain
Background Maintain Background
Maintain Background
Maintain Background
For the Class 3D use classification, “maintain background” means the concentration of the water quality substance, characteristic, or pollutant shall not deviate from the range of natural background concentrations or conditions such that there is a potential significant adverse impact to the designated uses. A general conclusion offered in the U of M report indicates that industrial water appropriators are concerned about consistency and availability (quantity) of intake water and that they are willing to treat the incoming water to meet their specific process needs. MPCA staff is considering two possible approaches that would result in changes the Class 3 water use standards. The first option would maintain the concept of presumptive applicability whereby most waters of the state would remain classified for Class 3 industrial consumption uses. However, instead of the numeric standards specified above for the various Class 3 subclasses (Class 3A, 3B, 3C, or 3D), narrative standards for a single Class 3 use category would be developed. Based on the current multi-use classification system the state employs, for most waters, the industrial quality criteria would then be governed by the applicable Class 2 numeric and narrative standards assigned to the given water body. Simply stated, if the surface water is of adequate quality to support aquatic life and recreational uses (Class 2) it would be judged to be of an acceptable quality for industrial withdrawal and subsequent treatment by the water appropriator for industrial use. Under this approach, Class 7 limited resource value waters would not be classified for Class 3
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uses given the fact most Class 7 waters are low flow watercourses that do not have adequate year-round volumes of water for industrial withdrawal purposes. The second option being considered would move away from the concept of presumptive applicability as it pertains to assigning Class 3 use classifications. Under this approach, the MPCA would retain the Class 3 sub-classifications and their accompanying standards but be more selective and assign the Class 3 use class to larger river systems and lakes throughout the state. Defining which waters of the state would receive the Class 3 use classification would be accomplished by reviewing the stream flow characteristics for waters that serve as industrial source waters in existing Minnesota Department of Natural Resources water appropriation permits. As the U of M report points out, on a volume basis, approximately 98% of surface water withdrawals are associated with industrial uses; with power generation being the dominant use category. Either of the two options noted above would provide a more practical approach to classifying waters of the state for industrial uses. Class 4A Agriculture (Irrigation) Use Class 4A standards are intended to permit water irrigation uses “without significant damage or adverse effects upon any crops or vegetation usually grown in the waters or area, including truck garden crops.” The following table presents the existing Class 4A water quality standards (Minn. R. 7050.0224, subp. 2) and the concentrations, or ranges of concentrations, being considered for potential amendment. Class 4A Agricultural Use and Irrigation - Existing Standards and Draft Proposed Surface Water Irrigation Standards Existing Standards Draft Proposed Standards Bicarbonates (HCO3) 5 milliequivalents per liter 5 milliequivalents per liter Boron (B) 0.5 mg/L Range of values being
considered: 0.75 – 2 mg/L pH, minimum value 6.0 6.0 pH, maximum value 8.5 8.5 Specific conductance 1,000 micromhos per
centimeter at 25°C Range of values being considered: 1,200 – 1,700 micromhos per centimeter at 25°C
Total dissolved salts 1 700 mg/L Remove Sodium (Na) 60% of total cations as
milliequivalents per liter 60% of total cations as milliequivalents per liter
Sulfates (SO4) 2 [See footnote number 2 below]
10 mg/L, applicable to water used for production of wild rice during periods when the rice may be
No numeric change proposed at this time pending additional studies; (See footnote 2).
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susceptible to damage by high sulfate levels.
Radioactive materials Not to exceed the lowest concentrations permitted to be discharged to an uncontrolled environment as prescribed by the appropriate authority having control over their use.
Not to exceed the lowest concentrations permitted to be discharged to an uncontrolled environment as prescribed by the appropriate authority having control over their use.
1 If the proposed rule amendment were to be adopted, specific conductance would be the means to characterize the salinity of the irrigation waters and would be used in lieu of the current “total dissolved salts” standard. Specific conductance measurements are an accurate and more readily obtained measure that reflects irrigation water’s salt-related constituency.
2 The U of M report did include a proposed sulfate water quality standard of 50 mg/L (see Table 2 on page 16 of the U of M report). The proposed sulfate water value was intended to be footnoted with the following statement: “This value was created after much deliberation where numbers as high as 200 mg/L were considered. There is concern that allowing too high a value could lead to a buildup in lake sediments, which would then have negative effects on the Zn and Cu nutrition of plants, especially Zn. Please refer to Appendices for specific comments responses” The report appendix that this footnote is referring to, Appendix A, is and an email exchange between MPCA staff and Professor Paul R. Bloom with the University of Minnesota’s Department of Soil, Water, and Climate.
Dr. Bloom provided review input on the Class 4A wild rice related sulfate standard during the development of the U of M report. Although it is not explicitly stated in the report, recent correspondence with Dr. Bloom indicates that the 50 mg/L sulfate recommendation was related to cultivated wild rice production based on evidence that 50 mg/L does not harm the crop. Dr. Bloom also indicated that while he believes that the 50 mg/L sulfate level would also protect natural wild rice stands, he does not think that the evidence is sufficient to set this concentration as a standard. He goes on to acknowledge that there is ongoing research gathering information to evaluate this issue and that we need to wait for the results of these studies. With that said, MPCA staff note that over time there have been various researchers who have evaluated sulfate impacts to wild rice, with no distinctions being made between natural vs. cultivated (paddy) wild rice, and they have proposed water column sulfate concentrations ranging anywhere from 10 mg/L to greater than 200 mg/L as being acceptable. In addition to the proposed amendments noted above, the MPCA is considering a seasonal application of the Class 4A water quality standards to reflect the fact that surface waters are generally not used for irrigation purposes on a year-round basis. For the applicable crop production based criteria, the proposed standards would be applicable on a seasonal basis between April through September. An exception to this proposal relates to the Class 4A wild rice based sulfate standard. Additional research is needed in order to evaluate potential sediment and water column sulfide impacts to wild rice. Pending the outcome of this research, MPCA plans to continue to define the seasonality of the wild rice sulfate standard on a case-by-case basis within the context of the National Pollutant Discharge Elimination System / State Disposal System (NPDES/SDS) permitting process.
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On a related note, a third component of the current Class 4A wild rice based sulfate standard indicates that the criterion applies in “waters used for the production of wild rice”. For the most part, this determination is also currently being conducted on a case-by-case basis through the NPDES/SDS permitting process. As a part of the current triennial rulemaking review, MPCA is planning to provide additional clarification and water body listings to better define what waters of the state are considered wild rice waters. Class 4B Livestock and Wildlife Uses Class 4B Livestock and Wildlife Drinking Water Use existing Standards and Draft Proposed Standards Existing Standards Draft Proposed Standards pH minimum 6.0 6.0 pH maximum 9.0 9.0 Total Salinity 1,000 mg/L Remove Total Dissolved Solids n/a Poultry (wild birds) 3,000 mg/L
Livestock (non-bird wildlife) 5,000 mg/L
Nitrate-N (includes nitrite-N) n/a 100 mg/L Sulfate (as SO4=) n/a1 Acclimated - 2,000 mg/L
Non-acclimated - 1,000 mg/L Young stock: calves, piglets, lambs, and others - 500 mg/L
Radioactive Materials Not to exceed the lowest concentrations permitted to be discharged to an uncontrolled environment as prescribed by the appropriate authority having control over their use.
Not to exceed the lowest concentrations permitted to be discharged to an uncontrolled environment as prescribed by the appropriate authority having control over their use.
Toxic Substances None at levels harmful either directly or indirectly
None at levels harmful either directly or indirectly
1 While there currently is not a sulfate standard specific to wildlife and livestock watering in Minn. R. 7050.0224, subp. 3, historically, and on a site-specific basis, MPCA staff have used a Canadian water quality sulfate guideline of 1,000 mg/L. [ http://www.waterquality.ec.gc.ca/waterqualityweb/guidelines.aspx?catId=4 ]
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Public Review Comments Requested: While the U of M report will serve as the primary technical support document for the proposed amendments to the standards specified under the Class 3 and Class 4 use classifications, additional research is needed prior to the development of final criteria and narrative rule language. These future Class 3 and Class 4 criteria and rule language changes will be noticed in the State Register at the start of the public hearing phase of this rulemaking scheduled to begin in November 2011. The MPCA is inviting public comment and input on the findings and recommendations presented in the U of M report and the general questions and issues related to the review of the Class 3 and Class 4 standards listed below.
1. Are the listed Class 3 and Class 4 standards the appropriate analytes for the respective use classifications? a) Are there some that should be added? b) Are there some that should be deleted?
2. Are the concentrations specified for each of these standards set at appropriate levels?
a) These standards have state-wide, presumptive applicability; that is, they apply to all surface waters of the state. Are there geographic areas of the state that require a more, or less, restrictive water concentration based on the types of soils in the area, the amount of irrigation waters used, the types of crops grown, etc.? b) Excluding livestock and wildlife watering uses under Class 4B, should the concept of "presumptive applicability" continue to apply to the Class 3 and Class 4A standards? [In other words, if there are no water appropriators using the surface water for either industrial or irrigation purposes, should stringent effluent limitations be assigned to upstream dischargers to meet the protection levels of these use classes?] 3. Should some or all of these standards be listed as discrete concentrations or should they be listed as a range of concentrations? 4. Should these standards apply year-round or is it appropriate to establish them as seasonal standards (irrigation uses in particular)? 5. What role does sulfate play in the overall biotic health and propagation of wild rice plant species whether they are in natural stands or as a domesticated crop in paddy rice production areas?
6. The current Class 4A sulfate standard of 10 mg/L applies to waters used for the “production of wild rice during periods when the rice may be susceptible to damage by high sulfate levels” (Minn. R. 7050.0224, subpart 2). This rule language indicates that the 10 mg/L sulfate standard applies only to certain waters of the state and that there is an existing seasonal component as to its applicability. Opinions and scientific study results are being sought to help better define those waters of the state where this standard should apply and what seasonal aspects should or should not continue to be tied to this sulfate standard.
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Contact Information: Comments and data may be provided to the MPCA using the rulemaking email address at: [email protected] or by sending them directly to Gerald Blaha via the contact information listed below. Gerald Blaha Minnesota Pollution Control Agency Environmental Analysis and Outcomes Division 520 Lafayette Road, North St. Paul, MN 55155 Telephone 651-757-2234 or TTY 651-282-5332 Toll-free:800-657-3864 [email protected] 18NOV2010
University of Minnesota Bioproducts Biosystems and Engineering 1390 Eckles Avenue, St. Paul, MN 55108-6005
Minnesota Surface Water Quality Investigation Industrial Supply, Irrigation and Livestock Uses
June 29, 2010
Prepared by
Dalia Abbas, Danielle Dutton, John Nieber, Chuck Clanton, and Dario Canelon
Department of Bioproducts and Biosystems Engineering
Paul R. Bloom and David Mulla of Department of Soil, Water and Climate
Prepared for the Minnesota Pollution Control Agency
Acknowledgment
Thank you for the efforts from all the experts who contributed generously to the work of
the project from the University of Minnesota. Persons to thank include Dr. Joe Magner,
Minnesota Pollution Control Agency, Dr. Jim Linn, Professor and Head, Department of
Animal Science, Dr. Jerry Wright, Associate Professor and Extension Engineer, West
Central Research and Outreach Center, Dr. Carl Rosen, Professor, Department of Soil,
Water, and Climate, Dr. Satish Gupta, Professor, Department of Soil, Water, and
Climate, Dr. Peter Lee, Professor, Lake Head University, and Ms. Katrina Kessler,
Minnesota Pollution Control Agency. Many others were contacted as well but the list is
too long to include here. We would of course like to single out the guiding contributions
provided by Gerald Blaha, Gary Kimball and Mark Tomasek throughout the process of
developing this document.
Univ. of Minnesota – Surface Water Quality Investigation 2
ACKNOWLEDGMENT ............................................................................................................................................ 2
FIGURES AND TABLES ........................................................................................................................................... 5
EXECUTIVE SUMMARY ......................................................................................................................................... 7
SUMMARY OF SURFACE WATER USES BY CATEGORY .............................................................................................................. 9
Comparison of Surface Water Uses Between 2005 and 2007 ............................................................................... 9
CHAPTER ONE: ................................................................................................................................................... 11
MINNESOTA SURFACE WATER QUALITY FOR IRRIGATION ................................................................................... 11
INTRODUCTION ............................................................................................................................................................. 11
RECOMMENDATIONS ..................................................................................................................................................... 25
REFERENCES ................................................................................................................................................................ 27
APPENDIX A: EXPLANATION FROM PROFESSOR PAUL BLOOM OF WILD RICE REVIEW COMMENTS ..................... 29
APPENDIX A B –FAO DOCUMENTATION .............................................................................................................. 34
APPENDIX A C. FAO DOCUMENTATION............................................................................................................... 65
CHAPTER TWO : ................................................................................................................................................. 76
MINNESOTA SURFACE WATER QUALITY FOR LIVESTOCK ..................................................................................... 76
AND WILDLIFE USE ............................................................................................................................................. 76
INTRODUCTION ............................................................................................................................................................. 77
RECOMMENDATIONS ..................................................................................................................................................... 80
DEFINITIONS ................................................................................................................................................................ 80
APPENDIX C: EXPLANATION FROM PROFESSOR CHUCK CLANTON OF LIVESTOCK REVIEW COMMENTS .............. 82
REFERENCES ................................................................................................................................................................ 88
CHAPTER THREE: ................................................................................................................................................ 92
MINNESOTA SURFACE WATER QUALITY FOR INDUSTRIAL USES .......................................................................... 92
ABSTRACT ................................................................................................................................................................... 93
BENEFICIAL USES .......................................................................................................................................................... 93
CURRENT INDUSTRIAL WATER USE ................................................................................................................................... 94
Thermoelectric Power Generation ...................................................................................................................... 94
Industrial Processing ........................................................................................................................................... 95
Univ. of Minnesota – Surface Water Quality Investigation 3
INDUSTRY PERSPECTIVE .................................................................................................................................................. 99
SOURCES OF WATER .................................................................................................................................................... 101
TREATED WATER: TYPES AND USES ................................................................................................................................ 102
COST ASSOCIATED WITH INDUSTRY AND WATER ............................................................................................................... 106
MONITORING DATA .................................................................................................................................................... 107
RECOMMENDATIONS ................................................................................................................................................... 112
Options for industrial standards: ...................................................................................................................... 112
CONCLUSION ............................................................................................................................................................. 116
REFERENCES .............................................................................................................................................................. 117
ADDITIONAL TABLES .................................................................................................................................................... 121
APPENDIX A. INDUSTRIAL USES ........................................................................................................................ 126
MINING .................................................................................................................................................................... 126
HARD ROCK, SAND AND GRAVEL ................................................................................................................................... 126
PULP AND PAPER ........................................................................................................................................................ 127
ELECTRIC POWER GENERATION AND COOLING ................................................................................................................... 128
APPENDIX B: WATER QUALITY PARAMETERS .................................................................................................... 131
HARDNESS ................................................................................................................................................................. 131
COOLING WATER ........................................................................................................................................................ 134
CHLORIDE .................................................................................................................................................................. 136
CORROSION ............................................................................................................................................................... 137
WATER SOFTENERS ..................................................................................................................................................... 141
APPENDIX C: REVIEW OF NEIGHBORING STATES INDUSTRIAL CLASSIFICATIONS: NORTH DAKOTA, SOUTH DAKOTA,
NEBRASKA, IOWA, ILLINOIS, WISCONSIN .......................................................................................................... 143
INTRODUCTION ........................................................................................................................................................... 143
SUMMARY OF FINDINGS ............................................................................................................................................... 144
ILLINOIS ........................................................................................................................................................... 146
IOWA ............................................................................................................................................................... 151
NEBRASKA ....................................................................................................................................................... 156
NORTH DAKOTA ............................................................................................................................................... 162
SOUTH DAKOTA ............................................................................................................................................... 165
Univ. of Minnesota – Surface Water Quality Investigation 4
WISCONSIN ...................................................................................................................................................... 169
ADDITIONAL............................................................................................................................................................... 176
Figures and Tables FIGURE 1. DOMINANT CROP TYPE BY COUNTY IN MINNESOTA (2008-2009) ............................................................................... 13
FIGURE 2. AGRICULTURAL SURFACE WATER USE AND DOMINANT CROP TYPE IN MINNESOTA .......................................................... 14
FIGURE 3. CHLORIDE, AND HARDNESS CONCENTRATIONS FOR MINNESOTA BASED UPON HUC-4 CLASSIFICATION .............................. 110
FIGURE 4. ANNUAL STREAM RUNOFF FOR ECOLOGICAL SECTIONS BASED UPON ECOREGIONS ......................................................... 111
FIGURE 5. DIAGRAM OF WATER FLOW IN A TYPICAL SAND AND GRAVEL FACILITY ........................................................................... 127
FIGURE 6. SAMPLE WATER NETWORK (TAN 2007) PROCESSES INCLUDE (1) PRESSING SECTION, (2) FORMING SECTION, (3) DIP (DE-INKING
PULPER), (4) OTHERS, (5, 6) WHITE WATER TANK, (10) CP (CHEMICAL PREPARATION SECTION), (12) AF (APPROACH FLOW SYSTEM)
.......................................................................................................................................................................... 128
FIGURE 7. WATER REQUIREMENTS FOR A THERMOELECTRIC POWER PLANT ................................................................................. 129
FIGURE 8. ONCE THROUGH COOLING, AND CLOSED LOOP COOLING DIAGRAMS RELATED TO THERMOELECTRIC GENERATION PLANTS
(TORCELLINI ET AL 2003). ....................................................................................................................................... 130
FIGURE 9. “AS WATER IS REMOVED FROM THE SYSTEM BY EVAPORATION THE CONCENTRATION OF THE DISSOLVED SOLIDS INCREASES, THERE
IT IS NECESSARY TO DISCARD SOME OF THE RECIRCULATING WATER, USUALLY BACK TO ITS SOURCE, REPLACING IT WITH “MAKEUP”
WATER FROM THE SOURCE. THE DELIBERATE DISCHARGE OF WATER IS USUALLY REFERED TO AS “BLOWDOWN” (RITCHIE 2005 ... 136
FIGURE 10. TYPICAL CORROSION MECHANICS (AHMAD 2006) ................................................................................................. 137
FIGURE 11. POTENTIAL CORROSION FOR HEATER MATERIALS (SOURCE: J.R. CRUM AND R.C. SCARBERRY, DEVELOPMENT OF GALVANIC
SERIES IN VARIOUS ACID AND WATER ENVIRONMENTS,. INCO ALLOYS. PRINTED IN: EPRI 2006 FEEDWATER HEATER MAINTENANCE
GUIDE) ................................................................................................................................................................ 139
FIGURE 12. MOLLIER DIAGRAM FOR A FOSSIL CYCLE. (SOURCE: EPRI 1998) ............................................................................. 140
TABLE 1. EXISTING SURFACE WATER QUALITY FOR IRRIGATION .................................................................................................. 15
TABLE 2. RECOMMENDED SURFACE WATER QUALITY FOR IRRIGATION ......................................................................................... 16
TABLE 3. SALINITY TOLERANCE ............................................................................................................................................. 17
TABLE 4. BORON TOLERANCE LIMITS - IN SOIL WATER WITHOUT YIELD REDUCTION EXPRESSED IN MG/L ............................................ 21
TABLE 5. SULFATE CONCENTRATIONS IN THE CLEARWATER RIVER NORTH OF GULLY MN ................................................................ 32
TABLE 6. EXISTING SURFACE WATER QUALITY FOR LIVESTOCK, POULTRY AND WILDLIFE DRINKING ................................................... 78
TABLE 7. RECOMMENDED SURFACE WATER QUALITY FOR LIVESTOCK, POULTRY AND WILDLIFE DRINKING .......................................... 79
TABLE 8. CLASS 3 INDUSTRIAL CONSUMPTION USE (MINNESOTA POLLUTION CONTROL AGENCY, 2009) ........................................... 94
Univ. of Minnesota – Surface Water Quality Investigation 5
TABLE 9. MINNESOTA DNR 2005 WATER USE (IN MILLIONS OF GALLONS) FOR POWER GENERATION, INDUSTRIAL PROCESSING, AND
WATER LEVEL MAINTENANCE (SOURCE: (MINNESOTA DEPARTMENT OF NATURAL RESOURCES 2007)) ................................... 96
TABLE 10. INDUSTRY PERSPECTIVES OF WATER SOURCE, AND QUALITY. DERIVED FROM PERSONAL COMMUNICATIONS ON MAY 27, 2009
.......................................................................................................................................................................... 100
TABLE 11. IMPURITIES IN WATER SUPPLIES (EPRI 1999) ....................................................................................................... 103
TABLE 12. CHEMICAL COMPOUND EFFECT ON PLANT EQUIPMENT AND OPERATION (BUECKER 1997) .............................................. 104
TABLE 13. PURE WATER QUALITY CLASSIFICATION. (SOURCE: BENNETT 2006 ............................................................................. 106
TABLE 14. MONITORING DATA AVERAGE MEAN, MINIMUM, MAXIMUM, MEDIAN VALUES FOR CHLORIDE AND HARDNESS BASED UPON
HYDROLOGIC UNIT CODE (HUC-4). ............................................................................................................................ 121
TABLE 15. TYPICAL WATER INFLUENT REQUIREMENT FOR BOILERS AT POWER GENERATING FACILITIES SOURCE: (VEIL, KUPAR AND PUDER
2003) ................................................................................................................................................................. 122
TABLE 16. RECOMMENDED WATER CHARACTERISTICS FOR SHELL BOILERS. (SOURCE: SNOW 2002) ................................................. 123
TABLE 17. UTILITY BOILER FEEDWATER GUIDELINES ............................................................................................................... 124
TABLE 18. MAKEUP WATER SOURCES ................................................................................................................................. 125
TABLE 19.RECOMMENDED WATER CHARACTERISTICS FOR SHELL BOILERS. (FROM THE SNOW, D. PLANT ENGINEER’S HANDBOOK 2002 132
TABLE 20. COOLING WATER RECOMMENDED WATER CHEMISTRIES .......................................................................................... 135
Univ. of Minnesota – Surface Water Quality Investigation 6
Executive Summary
This project is the result of extensive group effort from the University of Minnesota
Department of Bioproducts and Biosystems Engineering and the Department of Soils,
Water and Climate and the Minnesota Pollution Control Agency Environmental Analysis
and Outcomes Division to update the existing Surface Water Quality Standards Classes
3 and 4 for industrial, agriculture, livestock and wildlife uses, Minnesota Rules Chapter
7050, Water Quality Standards for Protection of Waters of the State. In the process
several national and international experts and databases of scientific literary sources and
specialized water chemistry, irrigation, animal sciences, drinking and watering reports
that enquire into water quality constituents and numeric values were consulted over
these uses. A detailed national review of existing water quality standards was
conducted, which identified that states vary in their approach to designated water uses.
In many cases the approach of different states to water quality standards is determined
by the extent of dependency on surface water, number and size of water bodies and
different seasons categories. To reach a consensus about a unified water quality set of
criteria, was difficult, because of multiple reasons and conditions that pertain to each
region such as weather, water constituents and the types of industry, irrigation and
livestock practices. Minnesota specific criteria offered in the report were determined to
the best of our knowledge in accordance with existing surface water quality guidelines
from the reviewed national and international scientific sources and expertise sought.
Developing Minnesota-specific surface water uses criteria was especially important to
avoid as much as possible one-size-fits-all criteria that may not be in good standing with
the state uses. Determining exact values in the Industrial sector were complicated
because regardless of the water source, industry specific treatments were carried out on
the supplied water on a regular basis. With approximately 98% of surface water (837
billion gallons per year) uses designated to industrial uses, mostly in power generation
industries, finding fixed values was critical to the overall analysis. Most of these industrial
Univ. of Minnesota – Surface Water Quality Investigation 7
uses were not consumptive, because water used is returned to source. On the other
hand, determining exact agriculture, livestock and wildlife water quality criteria was also
complicated but in a different manner. Water used for the latter uses is consumptive and
needs to be addressed differently from industrial non-consumptive uses since the
physical, chemical and biological constituents of water become an issue for healthy and
productive livestock, high yield agriculture, wildlife, as well as its importance to the
health of humans consuming these resources.
Approximately 17 of surface water uses in Minnesota (17 billion gallons per year) is
designated for agricultural uses. Irrigation water quality values depend to a large extent
on the interaction between soil types, vegetation type and the source of the water. The
literature review has shown those three areas need to be further investigated in an
integrated manner. In the agricultural sector, some of the questions that needed further
explorations relate to criteria necessary for the continuous versus intermittent uses of
surface water for irrigation. The surface water sources quality changes because of winter
and frozen water conditions.
The quantity of water appropriated for livestock use is almost 2.4 million gallons per
year obtained from surface water in Minnesota, which is a negligible percentage
compared to 924 million gallons obtained from groundwater sources (MN DNR 2009).
Most drinking water for livestock and poultry is supplied from groundwater, unlike the
case for wildlife and birds, whose surface vs. ground water uses were not determined.
There is limited information available in the literature that specifically addresses water
quality criteria for terrestrial animals and birds. Due to this lack of information it is
assumed that terrestrial animals would have the same water quality needs as livestock,
and wild birds would require the same drinking water quality as poultry.
It is important to note that water quality standards were originally created to pertain to
specific management objectives. It is unlikely that the state water quality standards can
adjust to future surface water demands without an integrated view of the effect of water
Univ. of Minnesota – Surface Water Quality Investigation 8
quality on the environment as a whole. Specifically speaking this means, the
considerations of long term individual crop water quality limitations; or wild rice, or
terrestrial animal long term exposure to specific water quality constituents. Additionally,
site specific characteristics and conditions based on an ecoregion approach may help to
determine expected variations for water quality constituents from identified surface
water sources. Reworking existing standards to integrate the current state of surface
water quality for uses on the industrial, agriculture, terrestrial and livestock uses will
help to achieve greater protection and understanding of the surface waters in the state
of Minnesota.
Summary of Surface Water Uses by Category
The largest users of surface water sources in Minnesota are the power generation
industries. Those water uses are non-consumptive because most the appropriated water
is returned to the environment after being used and treated for facility use. Power uses
of surface water were reduced from 900 billion gallons in 2005 to 837 billion gallons in
2007. Alternatively, agricultural and livestock water appropriations of surface waters
have increased. In 2007 agricultural surface water uses increased by over 4,000 million
gallons from uses in 2006 (MN DNR Water Year Data Summary 2007-2008). Similarly,
livestock watering have increased from nearly no appropriations from surface water to a
total of 2.4 million gallons in 2007. The following table and figures illustrate these 2007
surface water uses results (Source MN DNR Water Uses 2007 and 2009).
Comparison of Surface Water Uses Between 2005 and 2007
Univ. of Minnesota – Surface Water Quality Investigation 9
Univ. of Minnesota – Surface Water Quality Investigation 10
Chapter One:
Minnesota Surface Water Quality for Irrigation
Introduction
Univ. of Minnesota – Surface Water Quality Investigation 11
Irrigation water quality when poor can reduce a plant’s ability to take up water and can
affect soil structure (KSU 1996). Irrigation water quality is determined by a complex
correlation between soil type, water constituents and crop tolerance. Most of the
literature reviewed had a tendency to test water quality in relation to crop tolerance and
yield potentials. Very few sources were identified that would offer numeric values based
on the integration of soil type, water constituents and crop uptake interactions. Instead,
most of the existing guidelines determine specific crop tolerance, in relation to yield
potentials. For background Figures 1 and 2 illustrate the various types of crops
harvested within the state of Minnesota and subsequent surface water quality usage.
It is clear from the reviews of literature that surface water quality for irrigation, varies
based on the particular crops of interest. To that effect, factors of quality were
determined in accordance with Minnesota-Specific conditions and crops. For example,
factors such as salinity may be in important factor in different regions, because of its
damaging effect in excess on the vegetation community. This does not seem to be the
case within the entire state of Minnesota, since this maybe a problem in the
southwestern sections of the state.
Univ. of Minnesota – Surface Water Quality Investigation 12
Figure 1. Dominant Crop Type by County in Minnesota (2008-2009)
Univ. of Minnesota – Surface Water Quality Investigation 13
Figure 2. Agricultural Surface Water Use and Dominant Crop type in Minnesota
Univ. of Minnesota – Surface Water Quality Investigation 14
Table 1. Existing Surface Water Quality for Irrigation
Agriculture use and
Irrigation
Class 4A Standard - use for irrigation without significant damage
or adverse effects upon any crops or vegetation usually grown in
the waters or area, including truck garden crops.
Bicarbonates (HCO3) 5 milliequivalents per liter
Boron (B) 0.5 mg/L
pH, minimum value 6
pH, maximum value 8.5
Specific conductance 1,000 micromhos per centimeter at 25°C
Total dissolved salts 700 mg/L
Sodium (Na) 60% of total cations as milliequivalents per liter
Sulfates (SO4) 10 mg/L, applicable to water used for production of wild rice
during periods when the rice may be susceptible to damage by
high sulfate levels.
Radioactive
materials
Not to exceed the lowest concentrations permitted to be
discharged to an uncontrolled environment as prescribed by the
appropriate authority having control over their use.
Univ. of Minnesota – Surface Water Quality Investigation 15
Table 2. Recommended Surface Water Quality for Irrigation
Agricultural use
and Irrigation
VALUES
Bicarbonates (HCO3) 5 milliequivalents per liter
Boron (B) See table below
PH
Minimum value
Maximum value
6
8.5
ECw See table below and appendix for further effects
Sodium (Na) 60% of total cations as milliequivalents per liter or milliSiemens per
cm
Sulfates (SO4) 50 mg/L, applicable to water used for production of wild rice during
periods when the rice may be susceptible to damage by high sulfate
levels.
Radioactive materials Not to exceed the lowest concentrations permitted to be discharged
to an uncontrolled environment as prescribed by the appropriate
authority having control over their use.
&This table was created after much deliberation where numbers as high as 200 mg/L were considered.
There is concern that allowing too high a value could lead to a buildup in lake sediments, which would
then have negative effects on the Zn and Cu nutrition of plants, especially Zn. Please refer to Appendices
for specific comments responses
Univ. of Minnesota – Surface Water Quality Investigation 16
Table 3. Salinity Tolerance
Degree of
Tolerance
Fruits &
Berries
Vegetables Crops Forages
Not Tolerant
ECw<0.7 Strawberry
Raspberry
Beans
Carrots
Slightly Tolerant
ECw<1.2
Boysenberry
Currants
Blackberry
Gooseberry
Plum
Grape
Apricot
Peach
Pear
Cherry
Apple
Onion
Parsnips
Radish
Pea
Pumpkin
Lettuce
Pepper
Muskmelon
Sweet Potato
Sweet Corn
Potato
Cowpea
Broadbean
Flax
Sunflower
Corn
Clover (alsike, ladino,
red & strawberry)
Berseem clover
Corn (forage)
Univ. of Minnesota – Surface Water Quality Investigation 17
Cabbage
Moderately Tolerant
ECw<2.2
Spinach
Cantaloupe
Cucumber
Tomato
Squash
Brussels
Sprouts
Broccoli
Rice (paddy)
Brome (smooth)
Alfalfa
Big Trefoil
Beardless wildrye
Vetch
Timothy
Crested Wheatgrass
Univ. of Minnesota – Surface Water Quality Investigation 18
Tolerant
ECw<3.6
Beets
Zucchini
Canola
Sorghum
Oat Hay
Wheat Hay
Mountain brome
Tall Fescue
Sweet Clover
Red canarygrass
Birdsfoot Trefoil
Very Tolerant
ECw<5.0
Asparagus
Soybean
Safflower
Rye
Wheat
Sugarbeet
Barley
Barley Hay
Altai Wildryegrass
Tall Wheatgrass
Table Assumptions and definitions:
• The crops within each “tolerant” grouping are listed from least to most tolerant. Actual tolerances
will be modified by management, climate and soil conditions.
• ECw is the electrical conductivity of the irrigation water (values reported as milliSiemens/cm at
25° C [mS/cm@25°C.] ).
• A leaching fraction of approximately 15 per cent is maintained. The tolerance tables can be
adjusted by increasing or decreasing the leaching fraction.
Univ. of Minnesota – Surface Water Quality Investigation 19
• Soil texture ranges from sandy loam to clay with good internal drainage and no uncontrolled
shallow water table.
• Rainfall is low and does not play a significant role in meeting crop demands. The guidelines may
be too restrictive for wetter areas.
• Assume the use of gravity or sprinkler irrigation where water is applied infrequently as needed.
• The crop utilizes 50 per cent or more of the stored available water before the next irrigation.
• Guidelines are too restrictive for frequent or drip irrigation systems.
• Each irrigation leaches the upper root zone, and salt accumulation increases with depth.
• The crop responds to the average salinity in the root zone, and the salt content of the soil solution
is about three times that of the irrigation water because of evapotranspiration.
(Source: Saskatchewan Ministry of Agriculture 2008)
Univ. of Minnesota – Surface Water Quality Investigation 20
Table 4. Boron Tolerance Limits - in Soil Water without Yield Reduction Expressed in mg/l
Degree of
Tolerance
Fruits &
Berries
Vegetables Crops Forages Trees
Very Sensitive
<0.5 Citrus Lemon
<0.5 Blackberry
Sensitive
0.5-0.75 Grapefruit (b) Avocado (b)
Wheat Walnut (b)
0.5-0.75 Orange (b) Onion Sunflower Pecan (b)
0.5-0.75 Apricot (b)
0.5-0.75 Peach (b)
0.5-0.75 Cherry (b)
0.5-0.75 Plum (b)
0.5-0.75 Persimmon (b)
0.5-0.75 Fig, kadota (b)
0.5-0.75 Grape (b)
Univ. of Minnesota – Surface Water Quality Investigation 21
Moderately Sensitive
0.75 – 1.0 Strawberry (b) Garlic Wheat with 3.3 % slope
per mg/l
0.75 – 1.0 Sweet potato
Sunflower
0.75 – 1.0 Bean, mung (b)
0.75 – 1.0 Sesame (b)
0.75 – 1.0 Lupine (b)
0.75 – 1.0 Artichoke, Jerusalem
(b)
0.75 – 1.0 Bean, kidney (b)
0.75 – 1.0 Bean, snap with 12 % slope per
mg/l
0.75 – 1.0 Bean, lima (b)
0.75 – 1.0 Peanut
1 Broccoli with 1.8 % slope per
mg/l
Univ. of Minnesota – Surface Water Quality Investigation 22
1 Radish with 1.4 %
slope per mg/l
1.3 Lettuce (b) with 1.7 % slope per
mg/l
Moderately Tolerant
1.0-2.0 Pepper, red
1.0-2.0 Pea (b)
1.0-2.0 Carrot
1.0-2.0 Potato
1.0-2.0 Cucumber
2.0-4.0 Cabbage (b)
Oats
2.0-4.0 Turnip Corn
2.0-4.0 Bluegrass, Kentucky
(b)
Artichoke (b)
2.0-4.0 Squash Tobacco (b)
Univ. of Minnesota – Surface Water Quality Investigation 23
2.0-4.0 Muskmelon (b)
Mustard (b)
2.0-4.0 Clover, sweet (b)
3.4 Barley with 4.4% slope per mg/l
2.5 Cowpea with 12% slope per mg/l
Tolerant
4 Cauliflower with 1.9 % slope per
mg/l
4.0-6.0 Beet, red Parsley (b)
Alfalfa (b)
4.0-6.0 Vetch, purple
(b)
Very Tolerant
4.9 Sugar beet with 4.1% slope per
mg/l
5.7 Tomato with 3.4%
Univ. of Minnesota – Surface Water Quality Investigation 24
slope per mg/l
7.4 Sorghum with 4.7% slope per
mg/l
6.0-10.0 Cotton
9.8 Celery (b) with 3.2% slope per
mg/l
10.0-15.0 Asparagus (b)
Table reformatted from Maas (1990):
Notes:
(a) Maximum permissible concentration in soil water without yield reduction. Boron tolerances may vary,
depending upon climate, soil conditions, and crop varieties.
(b) Tolerance based on reduction in vegetative growth.
Recommendations
Individual crops vary among themselves in tolerance, and soil characteristics contribute
different functions to different crops, and as a result water quality depending on the soil
type would impact the crop growth differently. It is, therefore, necessary to explore
questions of soil characteristics and crop needs and tolerance to avoid crop toxicity,
since water picks up elements from these medians (soils and crops) towards growing
crops.
Univ. of Minnesota – Surface Water Quality Investigation 25
Future considerations need to tie supply (irrigation) guidelines with the water discharge,
runoff and flow conditions to develop indicators for a more integrated ecosystem.
Integrated ecosystem considerations are especially important since the transport of a
chemical compound in the environment depends on its mobility and whether or not this
chemical compound dissolves or not in water (USGS Circular 1225, 1999).
The transport of a chemical compound, furthermore, in the environment depends on its
persistence in the natural environment, and whether or not these chemicals are broken
down or attach themselves to the soil (USGS Circular 1225, 1999). It is therefore
necessary to explain to identify quality criteria based on the persistence or lack of there
constituents.
Other important factors that need to be integrated in determining water quality criteria
include the irrigation system used; cropping system, intercropping versus one cropping
system and the effects on the water quality received by crops on other crops, species
and uses not accounted for in the guidelines.
Further investigation is required towards underlying the water quality values related to
wild rice sulfate values and surrounding microorganisms because studies have indicated
that wild rice can tolerate higher sulfate concentrations.
More research is needed into the effect of boron uses in the environment over time with
crops that tolerate higher boron values.
Univ. of Minnesota – Surface Water Quality Investigation 26
References
Food and Agriculture Organization (FAO) 1985. Water quality for agriculture. R.S. Ayers
D.W. Westcot. FAO IRRIGATION AND DRAINAGE PAPER. 29 Rev. 1. Reprinted 1989,
1994
KSU 1996. Soil, Water and Plant Relationships. Irrigation Management Series. Danny H.
Rogers and William M. Sothers. Cooperative Extension Service Manhattan, Kansas
Maas 1990. Boron Tolerance Limits for Agricultural Crops. URL:
http://www.ussl.ars.usda.gov/pls/caliche/BOROT46
Saskatchewan Ministry of Agriculture 2008. Irrigation Certification.
U.S. Geological Circular 1225.The Quality of Our Nation's Waters. Nutrients and
Pesticides. National findings and their implications for water policies and strategies URL:
http://pubs.usgs.gov/circ/circ1225/html/wq_agric.html
Grava, J. and O. Koski. 1979. Wild Rice Fertilization Research – 1978. In pp. 1- 22
Minnesota Wild Rice Research 1978. Minnesota Agr. Exp. Sta. MN 1000 Misc. 1979-2.
Grava, J. 1980. Wild Rice Fertilization Research – 1979. In pp. 1- 18 Minnesota Wild
Rice Research 1979. Minnesota Agr. Exp. Sta. MN 1000 Misc. 1980-1.
Grava, J. 1981. Wild Rice Fertilization Research – 1980. In pp. 1- 15 Minnesota Wild
Rice Research 1980. Minnesota Agr. Exp. Sta. MN 1000 Misc. 1981-1.
Grava, J. 1982. Wild Rice Fertilization Research – 1981. In pp. 1- 14 Minnesota Wild
Rice Research 1981. Minnesota Agr. Exp. Sta. MN 1000 Misc. 1982-1.
Univ. of Minnesota – Surface Water Quality Investigation 27
Koel, T.M., and J.J. Peterka. 2003. Stream fish communities and environmental
correlates in the Red River of the North, Minnesota and North Dakota. Environmental
Biology of Fishes 67:137-155.
Univ. of Minnesota – Surface Water Quality Investigation 28
Appendix A: Explanation from Professor Paul Bloom of Wild Rice Review Comments
(The following represents a consolidated email exchange between Professor Paul R, Bloom
(PRB), Department of Soil, Water and Climate, University of Minnesota and Minnesota Pollution
Control Agency (MPCA) staff related to the Class 4A use classification wild rice standard for
sulfate. This email exchange took place over the period April 26, 2010 – May 8, 2010)
Sulfate in Irrigation Water for Cultivated Wild Rice
Paul R. Bloom
April 26, 2010
(PRB) Irrigation water is used to flood wild rice paddies and to maintain water levels.
Most paddies have been constructed in peat lands with major ditches to supply river
water as well to convey drainage water to the source river before harvest. In wild rice
cultivation tillage, fertilization, and seeding are done in the fall. Floodwater is added in
the fall or in the spring. In early August the paddy water is drained from fields in
preparation for harvest 2 or 3 weeks later.
(MPCA) What factors are considered in determining whether the paddies are flooded in
the fall or the spring? If they are not flooded in the fall, what keeps the sewn wild rice
seeds from becoming desiccated or freeze dried over the winter? If the paddy is flooded
in the fall, is there a likelihood of hydrogen sulfide build-up in the paddy soils over the
winter? If so, does the H2S have any effect on the viability of the dormant seed or is
the concern related to tying up the nutrient elements as noted below?
(PRB) Fall flooding is preferred, but in drought years the river gauge can be below the
DNR permitted level for pumping. Soils stay moist enough, even the drained state, an if
Univ. of Minnesota – Surface Water Quality Investigation 29
the seeds are tilled in they survive. The recommendation is to till in the straw and
stubble to allow for a month or more of aerobic decay to minimize the production of
toxic organic acids and to maximize the release of plant available N. Fall flooding gives
us the best management of N and the highest yields. We have never seen any problem
with H2S toxicity, which is characterized by blackened roots. In the case when there is a
succession of several years of wild rice, seeding is from the drop of seeds lost from the
previous crop. Often there is a need for a thinning operation in the following June. The
problem usually is thick stands, not thin stands.
(PRB) Given the alternate wetting and drying, the effect of sulfate might be different
than in a lake or stream where the bottom sediment is continually saturated with water.
In a lake bottom very high sulfate might eventually lead to sulfide buildup and the tie up
of chalcophile nutrient elements (elements that have a high affinity for reduced sulfur)
like copper and zinc.
(MPCA) Earlier Professor Bloom had mentioned an instance where there was hydrogen
sulfide odor coming from disturbed paddy rice sediments.
(PRB) This was in the mid summer in a high yielding stand of wild rice. Wild rice , like
other aquatic plants, transports excess oxygen to the roots and at the pH in the soils
sulfide is rapidly oxidized to sulfate and the plant takes up S as sulfate. Also wild rice has
most of the feeder roots in the top 1 cm of soil, an oxic zone.
(MPCA) What time of year was this noticed and is it possible to characterize the
sediments in the particular paddy where this odor was noted? Were there any
indications that this particular paddy had lower yields or distressed plants as a result of
this H2S?
Univ. of Minnesota – Surface Water Quality Investigation 30
(PRB) No.
(MPCA) It would be useful to include this type of information in this narrative.
(PRB) No.
(MPCA) With the oxic conditions encountered during drawdown, does this release
metals precipitated during anoxia or are the chalophile nutrient elements added during
fertilization to overcome the sulfide precipitation?
(PRB) Yes the oxidation of sulfides in drained soils releases metals. Also wild rice and
other aquatic plants create their own oxic zones near the root surface plus have
abundant roots at the surface of the sediment.
(MPCA) Is there any additional information that can be included in this narrative on
sulfide toxicity to the roots of the plant? Other than what has been already stated, from
a plant physiology perspective, can you comment on possible sulfate toxicity
mechanisms leading to the inhibition of wild rice growth?
(PRB) I can’t think of anything useful to add other than farmers and researchers do not
consider S toxicity as a problem and no matter what level you set they won’t pay much
attention to it.
(PRB) The data from the Clearwater River, a source of irrigation water for the most
highly productive wild rice farms in Minnesota, show sulfate concentrations typically in
the range of 50 – 100 ppm (Table 1). These data were obtained by Dr. Janis Grava of
the University of Minnesota (Grava, 1979, 1980, 1981 and 1982) on the section of the
river north of the town of Gully, in the eastern part of the Red River Valley. The data
Univ. of Minnesota – Surface Water Quality Investigation 31
were originally reported as ppm sulfate –S. Sulfate concentrations in the rivers of the
eastern part of the Red River Valley typically exceed 50 ppm (Koel and Peterka, 2003).
Koel and Peterka (2003) reported a concentration of 54 ppm in the Clearwater River.
When Dr. Grava was analyzing sulfates in irrigation water farmers typically were flooding
their paddies in April. Samples were also taken from paddy water and, as expected, the
concentrations were somewhat higher than in river due to concentrations by
evaporation..
(MPCA) Can these paddy water values be included as a range here or in the form of
another table?
(PRB) I thought the problem we were addressing was the concentration in the irrigation
water, thus I think the paddy values are not helpful.
(MPCA) If, as noted above, the farmers were flooding their paddies in April, is there
information available indicating whether these paddies had been seeded the previous fall
or were they seeded that same spring?
(PRB) Presumably they were seeded in the fall but I don’t see how this has a bearing on
the problem at hand.
(PRB) The fact that paddy wild rice thrives even when irrigation water sulfates exceed
100 ppm shows that a regulatory limit of 100 ppm will not harm the wild rice growers.
In fact, much higher concentrations might be acceptable.
Table 5. Sulfate concentrations in the Clearwater River north of Gully MN
1978 SO4-S, ppm SO4 ppm
Univ. of Minnesota – Surface Water Quality Investigation 32
5/17 15.8 47.3
7/19 8.7 26.0
1979
5/21 20.5 61.4
1980
4/28 43.6 130.5
1981
4/22 36.3 108.7
5/14 26.6 79.6
Mean 25.3 75.6
Univ. of Minnesota – Surface Water Quality Investigation 33
Appendix A b –FAO documentation
FAO Salt Tolerance of Herbaceous and Woody Crops URL: http://www.fao.org/DOCREP/005/Y4263E/y4263e0e.htm Annex 1. Crop salt tolerance data
Introduction
In 1985, FAO published a revised version of Irrigation and Drainage Paper No. 29. This publication incorporated an extensive list of crop salt tolerance data. Since then, Maas and Grattan (1999) have published updated lists of salt tolerance data. This annex reproduces these data together with the introductory sections.
Crop yield response functions
The salt tolerance of a crop can best be described by plotting its relative yield as a continuous function of soil salinity. For most crops, this response function follows a sigmoidal relationship. However, some crops may die before the seed or fruit yields decrease to zero, thus eliminating the bottom part of the sigmoidal curve. Maas and Hoffman (1977) proposed that this response curve could be represented by two line segments: one, a tolerance plateau with a zero slope, and the other, a concentration-dependent line whose slope indicates the yield reduction per unit increase in salinity. The point at which the two lines intersect designates the threshold, i.e. the maximum soil salinity that does not reduce yield below that obtained under non-saline conditions. This two-piece linear response function provides a reasonably good fit for commercially acceptable yields plotted against the electrical conductivity of the saturated paste (ECe). ECe is the traditional soil salinity measurement with units of decisiemens per metre (1 dS/m = 1 mmho/cm). For soil salinities exceeding the threshold of any given crop, relative yield (Yr) can be estimated with the following equation:
Yr = 100 - b(ECe - a) (1)
where a = the salinity threshold expressed in dS/m; b = the slope expressed in percent per dS/m; and ECe = the mean electrical conductivity of a saturated paste taken from the rootzone.
The two-piece linear response function is also reasonably accurate when salinity is expressed in terms of the osmotic potential of the soil solution at field capacity (OPfc). When the OPfc is known, yield responses can be determined as a function of the osmotic
Univ. of Minnesota – Surface Water Quality Investigation 34
stress that the plants experience. For osmotic potentials exceeding the threshold of a crop:
Yr = 100 - B(Opfc - A) (2)
where A = the salinity threshold expressed in bars; B = the slope expressed in percent per bar; and OPfc = osmotic potential of the soil water extracted from the rootzone at field capacity. Equation 2, like Equation 1, is linear even though OPfc is not a linear function of ECe. However, the deviation from linearity is small, and relative yields calculated from Equation 2 are within 2 percent of those calculated from Equation 1. The salt tolerance data in the subsequent sections are expressed in terms of ECe. Threshold (A) and slope (B) parameters in terms of OPfc can be determined from the ECe data with the following relationships:
A = -0.725a1.06 (3)
(4)
These equations are based on the relationship, OPfc = -0.725 ECe1.06, which was obtained from Figure 6 of the USDA Handbook No. 60 (USSL, 1954) after converting osmotic pressure in atmospheres at 0°C to osmotic potential in bars at 25°C. It is further assumed that the soluble salt concentration in the soil water at field capacity is twice that of the saturated-soil extract.
The threshold and slope concept has its greatest value in providing general salt tolerance guidelines for crop management decisions. Farmers need to know the soil salinity levels that begin to reduce yield and how much yield will be reduced at levels above the threshold. However, more precise plant response functions would be advantageous for crop simulation modelling. Van Genuchten and Hoffman (1984) have described several non-linear models that more accurately describe the sigmoidal growth response of plants to salinity. Computer programs for these models were developed and documented by Van Genuchten (1983).
Salt tolerance data
Herbaceous crops
Table A1.1 lists threshold and slope values for 81 crops in terms of ECe. Most of the data were obtained where crops were grown under conditions simulating recommended
Univ. of Minnesota – Surface Water Quality Investigation 35
cultural and management practices for commercial production. Consequently, the data indicate relative tolerances of different crops grown under different conditions and not under a standardized set of conditions. Furthermore, the data apply only where crops are exposed to fairly uniform salinities from the late seedling stage to maturity. Where crops have particularly sensitive stages, the tolerance limits are given in the footnotes.
Figure A1.1. Division for classifying crop tolerance to salinity
The data in Table A1.1 apply to soils where chloride is the predominant anion. Because of the dissolution of CaSO4 when preparing saturated-soil extracts, the ECe of gypsiferous (non-sodic, low Mg2+) soils will be 1-3 dS/m higher than that of non-gypsiferous soils having the same soil water conductivity at field capacity (Bernstein, 1962). The extent of this dissolution depends upon the exchangeable ion composition, CEC, and solution composition. Therefore, plants grown on gypsiferous soils will tolerate ECes approximately 2 dS/m higher than those listed in Table A1.1. The last column provides a qualitative salt tolerance rating that is useful in categorizing crops in general terms. Figure A1.1 illustrates the limits of these categories. Some crops have only a qualitative rating because the experimental data are inadequate for calculating the threshold and slope.
Univ. of Minnesota – Surface Water Quality Investigation 36
Woody crops
The salt tolerance of trees, vines and other woody crops is complicated because of additional detrimental effects caused by specific ion toxicities. Many perennial woody species are susceptible to foliar injury caused by the toxic accumulation of Cl- and/or Na+ in the leaves. Because different cultivars and rootstocks absorb Cl- and Na+ at different rates, considerable variation in tolerance may occur within an individual species.
In the absence of specific-ion effects, the tolerance of woody crops, like that of herbaceous crops, can be expressed as a function of the concentration of total soluble salts or osmotic potential of the soil solution. One could expect this condition to obtain for those cultivars and rootstocks that restrict the uptake of Cl- and Na+. The salt tolerance data in Table A1.2 are believed to be reasonably accurate in the absence of specific-ion toxicities. Because of the cost and time required to obtain fruit yields, tolerances of several crops have been determined for vegetative growth only. In contrast to other crop groups, most woody fruit and nut crops tend to be salt sensitive, even in the absence of specific-ion effects. Only date-palm is relatively salt tolerant, whereas olive and a few others are believed to be moderately tolerant.
Table A1.1. Salt tolerance of herbaceous crops†
Crop Salt Tolerance Parameters
Common name Botanical name‡ Tolerance based on
Threshold§ (ECe)
Slope
Rating¶ References dS/m % per
dS/mFibre, grain and special crops
Artichoke, Jerusalem
Helianthus tuberosus L.
Tuber yield 0.4 9.6 MS Newton et al., 1991
Barley# Hordeum vulgare L. Grain yield 8.0 5.0 T Ayars et al., 1952; Hassan et al., 1970a
Canola or rapeseed
Brassica campestrisL. [syn. B. rapa L.]
Seed yield 9.7 14 T Francois, 1994a
Canola or rapeseed
B. napus L. Seed yield 11.0 13 T Francois, 1994a
Chickpea Cicer arietinum L. Seed yield - - MS Manchanda & Sharma, 1989; Ram et al., 1989
Univ. of Minnesota – Surface Water Quality Investigation 37
Corn‡‡ Zea mays L. Ear FW 1.7 12 MS Bernstein & Ayars, 1949b; Kaddah & Ghowail, 1964
Cotton Gossypium hirsutum L.
Seed cotton yield
7.7 5.2 T Bernstein, 1955, 1956; Bernstein & Ford, 1959a
Crambe Crambe abyssinicaHochst. ex R.E. Fries
Seed yield 2.0 6.5 MS Francois & Kleiman, 1990
Flax Linum usitatissimum L.
Seed yield 1.7 12 MS Hayward & Spurr, 1944
Guar Cyamopsis tetragonoloba (L). Taub.
Seed yield 8.8 17 T Francois et al., 1990
Kenaf Hibiscus cannabinus L.
Stem DW 8.1 11.6 T Francois et al., 1992
Millet, channel Echinochloa turnerana (Domin) J.M. Black
Grain yield - - T Shannon et al., 1981
Oats Avena sativa L. Grain yield - - T Mishra & Shitole, 1986; USSL††
Peanut Arachis hypogaeaL.
Seed yield 3.2 29 MS Shalhevet et al., 1969
Rice, paddy Oryza sativa L. Grain yield 3.0§§ 12§§ S Ehrler, 1960; Narale et al., 1969; Pearson, 1959; Venkateswarlu et al., 1972
Roselle Hibiscus sabdariffaL.
Stem DW - - MT El-Saidi & Hawash, 1971
Rye Secale cereale L. Grain yield 11.4 10.8 T Francois et al., 1989
Safflower Carthamus tinctorius L.
Seed yield - - MT Francois & Bernstein, 1964b
Sesame¶¶ Sesamum indicumL.
Pod DW - - S Yousif et al., 1972
Sorghum Sorghum bicolor(L.) Moench
Grain yield 6.8 16 MT Francois et al., 1984
Soybean Glycine max (L.) Merrrill
Seed yield 5.0 20 MT Abel & McKenzie, 1964; Bernstein et al., 1955; Bernstein & Ogata, 1966
Sugar beet## Beta vulgaris L. Storage root 7.0 5.9 T Bower et al., 1954
Sugar cane Saccharum officinarum L.
Shoot DW 1.7 5.9 MS Bernstein et al., 1966; Dev &
Univ. of Minnesota – Surface Water Quality Investigation 38
Bajwa, 1972; Syed & El-Swaify, 1972
Sunflower Helianthus annuusL.
Seed yield 4.8 5.0 MT Cheng, 1983; Francois, 1996
Triticale X TriticosecaleWittmack
Grain yield 6.1 2.5 T Francois et al., 1988
Wheat Triticum aestivumL.
Grain yield 6.0 7.1 MT Asana & Kale, 1965; Ayers et al., 1952; Hayward & Uhvits, 1944
Wheat (semi-dwarf)†††
T. aestivum L. Grain yield 8.6 3.0 T Francois et al., 1986
Wheat, Durum T. turgidum L. var.durum Desf.
Grain yield 5.9 3.8 T Francois et al., 1986
Alfalfa Medicago sativa L. Shoot DW 2.0 7.3 MS Bernstein & Francois, 1973; Bernstein & Ogata, 1966; Bower et al., 1969; Brown & Hayward, 1956; Gauch & Magistad, 1943; Hoffman et al., 1975
Alkaligrass, Nuttall
Puccinellia airoides(Nutt.) Wats. & Coult.
Shoot DW - - T* USSL Staff, 1954
Alkali sacaton Sporobolus airoidesTorr.
Shoot DW - - T* USSL Staff, 1954
Barley (forage)# Hordeum vulgare L. Shoot DW 6.0 7.1 MT Dregne, 1962; Hassan et al., 1970a
Bentgrass, creeping
Agrostis stoloniferaL.
Shoot DW - - MS Youngner et al., 1967
Bermudagrass‡‡‡ Cynodon dactylon(L.) Pers.
Shoot DW 6.9 6.4 T Bernstein & Ford, 1959b; Bernstein & Francois, 1962; Langdale & Thomas, 1971
Bluestem, Angleton
Dichanthium aristatum (Poir.) C.E. Hubb. [syn. Andropogon nodosus (Willem.) Nash]
Shoot DW - - MS* Gausman et al., 1954
Broad bean Vicia faba L. Shoot DW 1.6 9.6 MS Ayars & Eberhard, 1960
Univ. of Minnesota – Surface Water Quality Investigation 39
Brome, mountain
Bromus marginatusNees ex Steud.
Shoot DW - - MT* USSL Staff, 1954
Brome, smooth B. inermis Leyss Shoot DW - - MT McElgunn & Lawrence, 1973
Buffelgrass Pennisetum ciliare(L). Link. [syn. Cenchrus ciliaris]
Shoot DW - - MS* Gausman et al., 1954
Burnet Poterium sanguisorba L.
Shoot DW - - MS* USSL Staff, 1954
Canarygrass, reed
Phalaris arundinacea L.
Shoot DW - - MT McElgunn & Lawrence, 1973
Clover, alsike Trifolium hybridumL.
Shoot DW 1.5 12 MS Ayars, 1948a
Clover, Berseem T. alexandrinum L. Shoot DW 1.5 5.7 MS Asghar et al., 1962; Ayars & Eberhard, 1958; Ravikovitch & Porath, 1967; Ravikovitch & Yoles, 1971
Clover, Hubam Melilotus alba Dest. var. annua H.S.Coe
Shoot DW - - MT* USSL Staff, 1954
Clover, ladino Trifolium repens L. Shoot DW 1.5 12 MS Ayars, 1948a; Gauch & Magistad, 1943
Clover, Persian T. resupinatum L. Shoot DW - - MS* de Forges, 1970
Clover, red T. pratense L. Shoot DW 1.5 12 MS Ayars, 1948a; Saini, 1972
Clover, strawberry
T. fragiferum L. Shoot DW 1.5 12 MS Ayars, 1948a; Bernstein & Ford, 1959b; Gauch & Magistad, 1943
Clover, sweet Melilotus sp. Mill. Shoot DW - - MT* USSL Staff, 1954
Clover, white Dutch
Trifolium repens L. Shoot DW - - MS* USSL Staff, 1954
Corn (forage)†† Zea mays L. Shoot DW 1.8 7.4 MS Hassan et al., 1970b; Ravikovitch, 1973; Ravikovitch & Porath, 1967
Cowpea (forage) Vigna unguiculata(L.) Walp.
Shoot DW 2.5 11 MS West & Francois, 1982
Dallisgrass Paspalum dilatatumPoir.
Shoot DW - - MS* Russell, 1976
Dhaincha Sesbania bispinosa (Linn.) W.F. Wight [syn. Sesbania
Shoot DW - - MT Girdhar, 1987; Karadge & Chavan, 1983
Univ. of Minnesota – Surface Water Quality Investigation 40
aculeata (Willd.) Poir]
Fescue, tall Festuca elatior L. Shoot DW 3.9 5.3 MT Bower et al., 1970; Brown & Bernstein, 1953
Fescue, meadow Festuca pratensisHuds.
Shoot DW - - MT* USSL Staff, 1954
Foxtail, meadow Alopecurus pratensis L.
Shoot DW 1.5 9.6 MS Brown & Bernstein, 1953
Glycine Neonotonia wightii[syn. Glycine wightii or javanica]
Shoot DW - - MS Russell, 1976; Wilson, 1985
Gram, black or Urd bean
Vigna mungo (L.) Hepper [syn. Phaseolus mungoL.]
Shoot DW - - S Keating & Fisher, 1985
Grama, blue Bouteloua gracilis(HBK) Lag. ex Steud.
Shoot DW - - MS* USSL Staff, 1954
Guinea grass Panicum maximumJacq.
Shoot DW - - MT Russell, 1976
Hardinggrass Phalaris tuberosa L. var. stenoptera(Hack) A. S. Hitchc.
Shoot DW 4.6 7.6 MT Brown & Bernstein, 1953
Kallargrass Leptochloa fusca(L.) Kunth [syn. Diplachne fuscaBeauv.]
Shoot DW - - T Sandhu et al., 1981
Lablab bean Lablab purpureus(L.) Sweet [syn. Dolichos lablab L.]
Shoot DW - - MS Russell, 1976
Lovegrass§§§ Eragrostis sp. N. M. Wolf
Shoot DW 2.0 8.4 MS Bernstein & Ford, 1959b
Milkvetch, Cicer Astragalus cicer L. Shoot DW - - MS* USSL Staff, 1954
Millet, Foxtail Setaria italica (L.) Beauvois
Dry matter - - MS Ravikovitch & Porath, 1967
Oatgrass, tall Arrhenatherum elatius (L.) Beauvois ex J. Presl & K. Presl
Shoot DW - - MS* USSL Staff, 1954
Oats (forage) Avena sativa L. Straw DW - - T Mishra & Shitole, 1986; USSL††
Orchardgrass Dactylis glomerataL.
Shoot DW 1.5 6.2 MS Brown & Bernstein, 1953; Wadleigh et al., 1951
Univ. of Minnesota – Surface Water Quality Investigation 41
Panicgrass, blue Panicum antidotaleRetz.
Shoot DW - - MS* Abd El-Rahman et al., 1972; Gausman et al., 1954
Pigeon pea Cajanus cajan (L.) Huth [syn. C. indicus (K.) Spreng.]
Shoot DW - - S Subbaro et al., 1991; Keating & Fisher, 1985
Rape (forage) Brassica napus L. - - MT* USSL Staff, 1954
Rescuegrass Bromus unioloidesHBK
Shoot DW - - MT* USSL Staff, 1954
Rhodesgrass Chloris GayanaKunth.
Shoot DW - - MT Abd El-Rahman et al, 1972; Gausman et al., 1954
Rye (forage) Secale cereale L. Shoot DW 7.6 4.9 T Francois et al., 1989
Ryegrass, Italian
Lolium multiflorumLam.
Shoot DW - - MT* Shimose, 1973
Ryegrass, perennial
Lolium perenne L. Shoot DW 5.6 7.6 MT Brown & Bernstein, 1953
Ryegrass, Wimmera
L. rigidum Gaud. - - MT* Malcolm & Smith, 1971
Saltgrass, desert Distichlis spicta L. var. stricta (Torr.) Bettle
Shoot DW - - T* USSL Staff, 1954
Sesbania Sesbania exaltata(Raf.) V.L. Cory
Shoot DW 2.3 7.0 MS Bernstein, 1956
Sirato Macroptilium atropurpureum (DC.) Urb.
Shoot DW - - MS Russell, 1976
Sphaerophysa Sphaerophysa salsula (Pall.) DC
Shoot DW 2.2 7.0 MS Francois & Bernstein, 1964a
Sudangrass Sorghum sudanense (Piper) Stapf
Shoot DW 2.8 4.3 MT Bower et al., 1970
Timothy Phleum pratense L. Shoot DW - - MS* Saini, 1972
Trefoil, big Lotus pedunculatus Cav.
Shoot DW 2.3 19 MS Ayars, 1948a, 1948b
Trefoil, narrowleaf birdsfoot
L. corniculatus var tenuifolium L.
Shoot DW 5.0 10 MT Ayars, 1948a, 1948b
Trefoil, broadleaf birdsfoot
L. corniculatus L. var arvenis(Schkuhr) Ser. ex DC
Shoot DW - - MS Ayars, 1950b
Univ. of Minnesota – Surface Water Quality Investigation 42
Vetch, common Vicia angustifolia L. Shoot DW 3.0 11 MS Ravikovitch & Porath, 1967
Wheat (forage)†††
Triticum aestivumL.
Shoot DW 4.5 2.6 MT Francois et al., 1986
Wheat, Durum (forage)
T. turgidum L. var durum Desf.
Shoot DW 2.1 2.5 MT Francois et al., 1986
Wheatgrass, standard crested
Agropyron sibiricum(Willd.) Beauvois
Shoot DW 3.5 4.0 MT Bernstein & Ford, 1958
Wheatgrass, fairway crested
A. cristatum (L.) Gaertn.
Shoot DW 7.5 6.9 T Bernstein & Ford, 1958
Wheatgrass, intermediate
A. intermedium(Host) Beauvois
Shoot DW - - MT* Dewey, 1960
Wheatgrass, slender
A. trachycaulum(Link) Malte
Shoot DW - - MT McElgunn & Lawrence, 1973
Wheatgrass, tall A. elongatum(Hort) Beauvois
Shoot DW 7.5 4.2 T Bernstein & Ford, 1958
Wheatgrass, western
A. smithii Rydb. Shoot DW - - MT* USSL Staff, 1954
Wildrye, Altai Elymus angustusTrin.
Shoot DW - - T McElgunn & Lawrence, 1973
Wildrye, beardless
E. triticoides Buckl. Shoot DW 2.7 6.0 MT Brown & Bernstein, 1953
Wildrye, Canadian
E. canadensis L. Shoot DW - - MT* USSL Staff, 1954
Wildrye, Russian E. junceus Fisch. Shoot DW - - T McElgunn & Lawrence, 1973
Vegetables and fruit crops
Artichoke Cynara scolymus L. Bud yield 6.1 11.5 MT Francois, 1995
Asparagus Asparagus officinalis L.
Spear yield 4.1 2.0 T Francois, 1987
Bean, common Phaseolus vulgarisL.
Seed yield 1.0 19 S Bernstein & Ayars, 1951; Hoffman & Rawlins, 1970; Magistad et al., 1943; Nieman & Bernstein, 1959; Osawa, 1965
Bean, lima P. lunatus L. Seed yield - - MT* Mahmoud et al., 1988
Bean, mung Vigna radiata (L.) R. Wilcz.
Seed yield 1.8 20.7 S Minhas et al., 1990
Cassava Manihot esculentaCrantz
Tuber yield - - MS Anonymous, 1976; Hawker & Smith, 1982
Univ. of Minnesota – Surface Water Quality Investigation 43
Beet, red## Beta vulgaris L. Storage root 4.0 9.0 MT Bernstein et al., 1974; Hoffman & Rawlins, 1971; Magistad et al., 1943
Broccoli Brassica oleracea L. (Botrytis Group)
Shoot FW 2.8 9.2 MS Bernstein & Ayars, 1949a; Bernstein et al., 1974
Brussels sprouts B. oleracea L. (Gemmifera Group)
- - MS*
Cabbage B. oleracea L. (Capitata Group)
Head FW 1.8 9.7 MS Bernstein & Ayars, 1949a; Bernstein et al., 1974; Osawa, 1965
Carrot Daucus carota L. Storage root 1.0 14 S Bernstein & Ayars, 1953a; Bernstein et al., 1974; Lagerwerff &Holland, 1960; Magistad et al., 1943; Osawa, 1965
Cauliflower Brassica oleracea L. (Botrytis Group)
- - MS*
Celery Apium graveolensL. var dulce (Mill.) Pers.
Petiole FW 1.8 6.2 MS Francois & West, 1982
Corn, sweet Zea mays L. Ear FW 1.7 12 MS Bernstein & Ayars, 1949b
Cowpea Vigna unguiculata(L.) Walp.
Seed yield 4.9 12 MT West & Francois, 1982
Cucumber Cucumis sativus L. Fruit yield 2.5 13 MS Osawa, 1965; Ploegman & Bierhuizen, 1970
Eggplant Solanum melongena L. varesculentum Nees.
Fruit yield 1.1 6.9 MS Heuer et al., 1986
Garlic Allium sativum L. Bulb yield 3.9 14.3 MS Francois, 1994b
Gram, black or Urd bean
Vigna mungo (L.) Hepper [syn. Phaseolus mungoL.]
Shoot DW - - S Keating & Fisher, 1985
Kale Brassica oleracea L. (Acephala Group)
- - MS* Malcolm & Smith, 1971
Kohlrabi Brassica oleracea L. (Gongylodes Group)
- - MS*
Univ. of Minnesota – Surface Water Quality Investigation 44
Lettuce Lactuca sativa L. Top FW 1.3 13 MS Ayars et al., 1951; Bernstein et al., 1974; Osawa, 1965
Muskmelon Cucumis melo L. (Reticulatus Group)
Fruit yield 1.0 8.4 MS Mangal et al., 1988; Shannon & Francois, 1978
Okra Abelmoschus esculentus (L.) Moench
Pod yield - - MS Masih et al., 1978; Paliwal & Maliwal, 1972
Onion (bulb) Allium cepa L. Bulb yield 1.2 16 S Bernstein & Ayars, 1953b; Bernstein et al., 1974; Hoffman & Rawlins, 1971; Osawa, 1965
Onion (seed) Seed yield 1.0 8.0 MS Mangal et al., 1989
Parsnip Pastinaca sativa L. - - S* Malcolm & Smith, 1971
Pea Pisum sativum L. Seed FW 3.4 10.6 MS Cerda et al., 1982
Pepper Capsicum annuumL.
Fruit yield 1.5 14 MS Bernstein, 1954; Osawa, 1965; USSL††
Pigeon pea Cajanus cajan (L.) Huth [syn. C. indicus (K.) Spreng.]
Shoot DW - - S Keating & Fisher, 1985; Subbarao et al., 1991
Potato Solanum tuberosum L.
Tuber yield 1.7 12 MS Bernstein et al., 1951
Pumpkin Cucurbita pepo L. var Pepo
- - MS*
Purslane Portulaca oleraceaL.
Shoot FW 6.3 9.6 MT Kumamoto et al., 1992
Radish Raphanus sativus L. Storage root 1.2 13 MS Hoffman & Rawlins, 1971; Osawa, 1965
Spinach Spinacia oleracea L. Top FW 2.0 7.6 MS Langdale et al., 1971; Osawa, 1965
Squash, scallop Cucurbita pepo L. var melopepo (L.) Alef.
Fruit yield 3.2 16 MS Francois, 1985
Squash, zucchini C. pepo L. var melopepo (L.) Alef.
Fruit yield 4.9 10.5 MT Francois, 1985; Graifenberg et al., 1996
Strawberry Fragaria x Ananassa Duch.
Fruit yield 1.0 33 S Ehlig & Bernstein, 1958; Osawa, 1965
Sweet potato Ipomoea batatas(L.) Lam.
Fleshy root 1.5 11 MS Greig & Smith, 1962; USSL††
Univ. of Minnesota – Surface Water Quality Investigation 45
Tepary bean Phaseolus acutifolius Gray
- - MS* Goertz & Coons, 1991; Hendry, 1918; Perez & Minguez, 1985
Tomato Lycopersicon lycopersicum (L.) Karst. ex Farw. [syn. Lycopersicon esculentum Mill.]
Fruit yield 2.5 9.9 MS Bierhuizen & Ploeman, 1967; Hayward & Long, 1943; Lyon, 1941; Shalhevet & Yaron, 1973
Tomato, cherry L. lycopersicum var. Cerasiforme (Dunal) Alef.
Fruit yield 1.7 9.1 MS Caro et al., 1991
Turnip Turnip (greens)
Brassica rapa L. (Rapifera Group)
Storage root Top FW
0.9 3.3 9.0 4.3 MS MT Francois, 1984
Watermelon Citrullus lanatus(Thunb.) Matsum. & Nakai
Fruit yield - - MS* de Forges, 1970
Winged bean Psophocarpus tetragonolobus L. DC
Shoot DW - - MT Weil & Khalis, 1986
These data serve only as a guideline to relative tolerances among crops. Absolute tolerances vary, depending upon climate, soil conditions, and cultural practices.
‡ Botanical and common names follow the convention of Hortus Third (Liberty Hyde Bailey Hortorium Staff, 1976) where possible.
§ In gypsiferous soils, plants will tolerate an ECe about 2 dS/m higher than indicated.
¶ Ratings are defined by the boundaries in Figure A1.1. Ratings with an * are estimates.
# Less tolerant during seedling stage, ECe at this stage should not exceed 4 or 5 dS/m.
†† Unpublished U. S. Salinity Laboratory data.
‡‡ Grain and forage yields of DeKalb XL-75 grown on an organic muck soil decreased about 26 percent per dS/m above a threshold of 1.9 dS/m (Hoffman et al., 1983).
§§ Because paddy rice is grown under flooded conditions, values refer to the electrical conductivity of the soil water while the plants are submerged. Less tolerant during seedling stage.
¶¶ Sesame cultivars, Sesaco 7 and 8, may be more tolerant than indicated by the S rating.
## Sensitive during germination and emergence, ECe should not exceed 3 dS/m.
††† Data from one cultivar, "Probred".
Univ. of Minnesota – Surface Water Quality Investigation 46
‡‡‡ Average of several varieties. Suwannee and Coastal are about 20 percent more tolerant, and common and Greenfield are about
20 percent less tolerant than the average.
§§§ Average for Boer, Wilman, Sand and Weeping cultivars. Lehmann seems about 50 percent more tolerant.
Table A1.2. Salt tolerance of woody crops†
Crop Salt Tolerance Parameters
Common name
Botanical name‡
Tolerance based on
Threshold§
(ECe) Slope Rating¶
References dS/m % per
dS/m
Almond Prunus duclis (Mill.) D.A. Webb
Shoot growth 1.5 19 S Bernstein et al., 1956; Brown et al., 1953
Apple Malus sylvestris Mill.
- - S Ivanov, 1970
Apricot Prunus armeniaca L.
Shoot growth 1.6 24 S Bernstein et al., 1956
Avocado Persea americana Mill.
Shoot growth - - S Ayars, 1950a; Haas, 1950
Banana Musa acuminata Colla
Fruit yield - - S Israeli et al., 1986
Blackberry Rubus macropetalus Doug. ex Hook
Fruit yield 1.5 22 S Ehlig, 1964
Boysenberry Rubus ursinus Cham. and Schlechtend
Fruit yield 1.5 22 S Ehlig, 1964
Castor seed Ricinus communis L.
- - MS* USSL Staff, 1954
Cherimoya Annona cherimola Mill.
Foliar injury - - S Cooper, Cowley & Shull, 1952
Cherry, sweet Prunus avium L. Foliar injury - - S* Beeftink, 1955
Cherry, sand Prunus besseyi L., H. Baley
Foliar injury, stem growth
- - S* Zhemchuzhnikov, 1946
Coconut Cocos nucifera L. - - MT* Kulkarni et al., 1973
Univ. of Minnesota – Surface Water Quality Investigation 47
Currant Ribes sp. L. Foliar injury, stem growth
- - S* Beeftink, 1955; Zhemchuzhnikov, 1946
Date-palm Phoenix dactylifera L.
Fruit yield 4.0 3.6 T Furr & Armstrong, 1962; Furr & Ream, 1968; Furr et al., 1966
Fig Ficus carica L. Plant DW - - MT* Patil & Patil, 1983a; USSL Staff, 1954
Gooseberry Ribes sp. L. - - S* Beeftink, 1955
Grape Vitis vinifera L. Shoot growth 1.5 9.6 MS Groot Obbink & Alexander, 1973; Nauriyal & Gupta, 1967; Taha et al., 1972
Grapefruit Citrus x paradisi Macfady.
Fruit yield 1.2 13.5 S Bielorai et al., 1978
Guava Psidium guajava L.
Shoot & root growth
4.7 9.8 MT Patil et al., 1984
Guayule Parthenium argentatum A. Gray
Shoot DW Rubber yield
8.7 7.8 11.6 10.8
T T Maas et al., 1988
Jambolan plum
Syzygium cumini L.
Shoot growth - - MT Patil & Patil, 1983b
Jojoba Simmondsia chinensis (Link) C. K. Schneid
Shoot growth - - T Tal et al., 1979; Yermanos et al., 1967
Jujube, Indian Ziziphus mauritiana Lam.
Fruit yield - - MT Hooda et al., 1990
Lemon Citrus limon (L.) Burm. f.
Fruit yield 1.5 12.8 S Cerda et al., 1990
Lime Citrus aurantiifolia (Christm.) Swingle
- - S*
Loquat Eriobotrya japonica (Thunb). Lindl.
Foliar injury - - S* Cooper & Link, 1953; Malcolm & Smith, 1971
Macadamia Macadamia integrifolia Maiden & Betche
Seedling growth
- - MS* Hue & McCall, 1989
Mandarin orange; tangerine
Citrus reticulata Blanco
Shoot growth - - S* Minessy et al., 1974
Mango Mangifera indica L.
Foliar injury - - S Cooper et al., 1952
Natal plum Carissa grandiflora (E.H. Mey.) A. DC.
Shoot growth - - T Bernstein et al., 1972
Univ. of Minnesota – Surface Water Quality Investigation 48
Olive Olea europaea L. Seedling growth, Fruit yield
- - MT Bidner-Barhava & Ramati, 1967; Taha et al., 1972
Orange Citrus sinensis (L.) Osbeck
Fruit yield 1.3 13.1 S Bielorai et al., 1988; Bingham et al., 1974; Dasberg et al., 1991; Harding et al., 1958
Papaya Carica papaya L. Seedling growth, foliar injury
- - MS Kottenmeier et al., 1983; Makhija & Jindal, 1983
Passion fruit Passiflora edulis Sims.
- - S* Malcolm & Smith, 1971
Peach Prunus persica (L.) Batsch
Shoot growth, Fruit yield
1.7 21 S Bernstein et al., 1956; Brown, Wadleigh, Hayward, 1953; Hayward et al., 1946
Pear Pyrus communis L.
- - S* USSL Staff, 1954
Pecan Carya illinoinensis (Wangenh.) C. Koch
Nut yield, trunk growth
- - MS Miyamoto et al., 1986
Persimmon Diospyros virginiana L.
- - S* Malcolm & Smith, 1971
Pineapple Ananas comosus (L.) Merrill
Shoot DW - - MT Wambiji & El-Swaify, 1974
Pistachio Pistacia vera L. Shoot growth - - MS Sepaskhah & Maftoun, 1988; Picchioni et al., 1990
Plum; Prune Prunus domestica L.
Fruit yield 2.6 31 MS Hoffman et al., 1989
Pomegranate Punica granatum L.
Shoot growth - - MS Patil & Patil, 1982
Popinac, white
Leucaena leucocephala (Lam.) de Wit [syn. Leucaena glauca Benth.]
Shoot DW - - MS Gorham et al., 1988; Hansen & Munns, 1988
Pummelo Citrus maxima (Burm.)
Foliar injury - - S* Furr & Ream, 1969
Raspberry Rubus idaeus L. Fruit yield - - S Ehlig, 1964
Rose apple Syzygium jambos (L.) Alston
Foliar injury - - S* Cooper & Gorton, 1951
Sapote, white Casimiroa edulis Llave
Foliar injury - - S* Cooper et al., 1952
Scarlet Sesbania Shoot DW - - MT Chavan & Karadge,
Univ. of Minnesota – Surface Water Quality Investigation 49
wisteria grandiflora 1986
Tamarugo Prosopis tamarugo Phil.
Observation - - T National Academy Sciences, 1975
Walnut Juglans spp. Foliar injury - - S* Beeftink, 1955
† These data serve only as a guideline to relative tolerances among crops. Absolute tolerances vary, depending upon climate, soil conditions, and cultural practices. The data are applicable when rootstocks are used that do not accumulate Na+ or Cl- rapidly or when these ions do not predominate in the soil.
‡ Botanical and common names follow the convention of Hortus Third (Liberty Hyde Bailey Hortorium Staff, 1976) where possible.
§ In gypsiferous soils, plants will tolerate an ECe about 2 dS/m higher than indicated.
¶ Ratings are defined by the boundaries in Figure A1.1. Ratings with an * are estimates.
Univ. of Minnesota – Surface Water Quality Investigation 50
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Bidner-Barhava, N. & Ramati, B. 1967. Tolerance of three olive varieties to soil salinity in Israel. Exp. Agric., 3: 295-305.
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Appendix A c. FAO Documentation
FAO document Table 4 CROP TOLERANCE AND YIELD POTENTIAL OF SELECTED CROPS AS INFLUENCED BY IRRIGATION WATER SALINITY (ECw) OR SOIL SALINITY (ECe)1 YIELD POTENTIAL2
FIELD CROPS 100% 90% 75% 50%
0% “maximum”3
ECe ECw ECe ECw ECe ECw ECe ECw ECe ECw Barley (Hordeum vulgare)4 8.0 5.3 10 6.7 13 8.7 18 12 28 19
Cotton (Gossypium hirsutum) 7.7 5.1 9.6 6.4 13 8.4 17 12 27 18
Sugarbeet (Beta vulgaris)5 7.0 4.7 8.7 5.8 11 7.5 15 10 24 16
Sorghum (Sorghum bicolor) 6.8 4.5 7.4 5.0 8.4 5.6 9.9 6.7 13 8.7
Wheat (Triticum aestivum)4,6 6.0 4.0 7.4 4.9 9.5 6.3 13 8.7 20 13
Wheat, durum (Triticum turgidum) 5.7 3.8 7.6 5.0 10 6.9 15 10 24 16
Soybean (Glycine max) 5.0 3.3 5.5 3.7 6.3 4.2 7.5 5.0 10 6.7
Cowpea (Vigna unguiculata) 4.9 3.3 5.7 3.8 7.0 4.7 9.1 6.0 13 8.8
Groundnut (Peanut) (Arachis hypogaea) 3.2 2.1 3.5 2.4 4.1 2.7 4.9 3.3 6.6 4.4
Rice (paddy) (Oriza sativa) 3.0 2.0 3.8 2.6 5.1 3.4 7.2 4.8 11 7.6
Sugarcane (Saccharum officinarum) 1.7 1.1 3.4 2.3 5.9 4.0 10 6.8 19 12
Corn (maize) (Zea mays) 1.7 1.1 2.5 1.7 3.8 2.5 5.9 3.9 10 6.7
Flax (Linum usitatissimum) 1.7 1.1 2.5 1.7 3.8 2.5 5.9 3.9 10 6.7
Broadbean (Vicia faba) 1.5 1.1 2.6 1.8 4.2 2.0 6.8 4.5 12 8.0
Bean (Phaseolus vulgaris) 1.0 0.7 1.5 1.0 2.3 1.5 3.6 2.4 6.3 4.2
VEGETABLE CROPS
Squash, zucchini (courgette) (Cucurbita pepo melopepo) 4.7 3.1 5.8 3.8 7.4 4.9 10 6.7 15 10
Beet, red (Beta vulgaris)5 4.0 2.7 5.1 3.4 6.8 4.5 9.6 6.4 15 10
Squash, scallop (Cucurbita pepo melopepo) 3.2 2.1 3.8 2.6 4.8 3.2 6.3 4.2 9.4 6.3
Broccoli (Brassica oleracea botrytis) 2.8 1.9 3.9 2.6 5.5 3.7 8.2 5.5 14 9.1
Univ. of Minnesota – Surface Water Quality Investigation 65
Tomato (Lycopersicon esculentum) 2.5 1.7 3.5 2.3 5.0 3.4 7.6 5.0 13 8.4
Cucumber (Cucumis sativus) 2.5 1.7 3.3 2.2 4.4 2.9 6.3 4.2 10 6.8
Spinach (Spinacia oleracea) 2.0 1.3 3.3 2.2 5.3 3.5 8.6 5.7 15 10
Celery (Apium graveolens) 1.8 1.2 3.4 2.3 5.8 3.9 9.9 6.6 18 12
Cabbage (Brassica oleracea capitata) 1.8 1.2 2.8 1.9 4.4 2.9 7.0 4.6 12 8.1
Potato (Solanum tuberosum) 1.7 1.1 2.5 1.7 3.8 2.5 5.9 3.9 10 6.7
Corn, sweet (maize) (Zea mays) 1.7 1.1 2.5 1.7 3.8 2.5 5.9 3.9 10 6.7
Sweet potato (Ipomoea batatas) 1.5 1.0 2.4 1.6 3.8 2.5 6.0 4.0 11 7.1
Pepper (Capsicum annuum) 1.5 1.0 2.2 1.5 3.3 2.2 5.1 3.4 8.6 5.8
Lettuce (Lactuca sativa) 1.3 0.9 2.1 1.4 3.2 2.1 5.1 3.4 9.0 6.0
Radish (Raphanus sativus) 1.2 0.8 2.0 1.3 3.1 2.1 5.0 3.4 8.9 5.9
Onion (Allium cepa) 1.2 0.8 1.8 1.2 2.8 1.8 4.3 2.9 7.4 5.0
Carrot (Daucus carota) 1.0 0.7 1.7 1.1 2.8 1.9 4.6 3.0 8.1 5.4
Bean (Phaseolus vulgaris) 1.0 0.7 1.5 1.0 2.3 1.5 3.6 2.4 6.3 4.2
Turnip (Brassica rapa) 0.9 0.6 2.0 1.3 3.7 2.5 6.5 4.3 12 8.0
Wheatgrass, tall (Agropyron elongatum) 7.5 5.0 9.9 6.6 13 9.0 19 13 31 21
Wheatgrass, fairway crested (Agropyron cristatum) 7.5 5.0 9.0 6.0 11 7.4 15 9.8 22 15
Bermuda grass (Cynodon dactylon)7 6.9 4.6 8.5 5.6 11 7.2 15 9.8 23 15
Barley (forage) (Hordeum vulgare)4 6.0 4.0 7.4 4.9 9.5 6.4 13 8.7 20 13
Ryegrass, perennial (Lolium perenne) 5.6 3.7 6.9 4.6 8.9 5.9 12 8.1 19 13
Trefoil, narrowleaf birdsfoot8 (Lotus corniculatus tenuifolium) 5.0 3.3 6.0 4.0 7.5 5.0 10 6.7 15 10
Harding grass (Phalaris tuberosa) 4.6 3.1 5.9 3.9 7.9 5.3 11 7.4 18 12
Fescue, tall (Festuca elatior) 3.9 2.6 5.5 3.6 7.8 5.2 12 7.8 20 13
Wheatgrass, standard crested (Agropyron sibiricum) 3.5 2.3 6.0 4.0 9.8 6.5 16 11 28 19
Vetch, common (Vicia angustifolia) 3.0 2.0 3.9 2.6 5.3 3.5 7.6 5.0 12 8.1
Sudan grass (Sorghum sudanense) 2.8 1.9 5.1 3.4 8.6 5.7 14 9.6 26 17
Wildrye, beardless (Elymus triticoides) 2.7 1.8 4.4 2.9 6.9 4.6 11 7.4 19 13
Univ. of Minnesota – Surface Water Quality Investigation 66
Cowpea (forage) (Vigna unguiculata) 2.5 1.7 3.4 2.3 4.8 3.2 7.1 4.8 12 7.8
Trefoil, big (Lotus uliginosus) 2.3 1.5 2.8 1.9 3.6 2.4 4.9 3.3 7.6 5.0
Sesbania (Sesbania exaltata) 2.3 1.5 3.7 2.5 5.9 3.9 9.4 6.3 17 11
Sphaerophysa (Sphaerophysa salsula) 2.2 1.5 3.6 2.4 5.8 3.8 9.3 6.2 16 11
Alfalfa (Medicago sativa) 2.0 1.3 3.4 2.2 5.4 3.6 8.8 5.9 16 10
Lovegrass (Eragrostis sp.)9 2.0 1.3 3.2 2.1 5.0 3.3 8.0 5.3 14 9.3
Corn (forage) (maize) (Zea mays) 1.8 1.2 3.2 2.1 5.2 3.5 8.6 5.7 15 10
Clover, berseem (Trifolium alexandrinum) 1.5 1.0 3.2 2.2 5.9 3.9 10 6.8 19 13
Orchard grass (Dactylis glomerata) 1.5 1.0 3.1 2.1 5.5 3.7 9.6 6.4 18 12
Foxtail, meadow (Alopecurus pratensis) 1.5 1.0 2.5 1.7 4.1 2.7 6.7 4.5 12 7.9
Clover, red (Trifolium pratense) 1.5 1.0 2.3 1.6 3.6 2.4 5.7 3.8 9.8 6.6
Clover, alsike (Trifolium hybridum) 1.5 1.0 2.3 1.6 3.6 2.4 5.7 3.8 9.8 6.6
Clover, ladino (Trifolium repens) 1.5 1.0 2.3 1.6 3.6 2.4 5.7 3.8 9.8 6.6
Clover, strawberry (Trifolium fragiferum) 1.5 1.0 2.3 1.6 3.6 2.4 5.7 3.8 9.8 6.6
FRUIT CROPS10
Date palm (phoenix dactylifera) 4.0 2.7 6.8 4.5 11 7.3 18 12 32 21
Grapefruit (Citrus paradisi)11 1.8 1.2 2.4 1.6 3.4 2.2 4.9 3.3 8.0 5.4
Orange (Citrus sinensis) 1.7 1.1 2.3 1.6 3.3 2.2 4.8 3.2 8.0 5.3
Peach (Prunus persica) 1.7 1.1 2.2 1.5 2.9 1.9 4.1 2.7 6.5 4.3
Apricot (Prunus armeniaca)11 1.6 1.1 2.0 1.3 2.6 1.8 3.7 2.5 5.8 3.8
Grape (Vitus sp.)11 1.5 1.0 2.5 1.7 4.1 2.7 6.7 4.5 12 7.9
Almond (Prunus dulcis)11 1.5 1.0 2.0 1.4 2.8 1.9 4.1 2.8 6.8 4.5
Plum, prune (Prunus domestica)11 1.5 1.0 2.1 1.4 2.9 1.9 4.3 2.9 7.1 4.7
Blackberry (Rubus sp.) 1.5 1.0 2.0 1.3 2.6 1.8 3.8 2.5 6.0 4.0
Boysenberry (Rubus ursinus) 1.5 1.0 2.0 1.3 2.6 1.8 3.8 2.5 6.0 4.0
Strawberry (Fragaria sp.) 1.0 0.7 1.3 0.9 1.8 1.2 2.5 1.7 4 2.7
1 Adapted from Maas and Hoffman (1977) and Maas (1984). These data should only serve as a guide to relative tolerances among crops. Absolute tolerances vary depending upon climate, soil conditions and
Univ. of Minnesota – Surface Water Quality Investigation 67
cultural practices. In gypsiferous soils, plants will tolerate about 2 dS/m higher soil salinity (ECe) than indicated but the water salinity (ECw) will remain the same as shown in this table.
2 ECe means average root zone salinity as measured by electrical conductivity of the saturation extract of the soil, reported in deciSiemens per metre (dS/m) at 25°C. ECw means electrical conductivity of the irrigation water in deciSiemens per metre (dS/m). The relationship between soil salinity and water salinity (ECe = 1.5 ECw) assumes a 15–20 percent leaching fraction and a 40-30-20-10 percent water use pattern for the upper to lower quarters of the root zone. These assumptions were used in developing the guidelines in Table 1.
3 The zero yield potential or maximum ECe indicates the theoretical soil salinity (ECe) atwhich crop growth ceases.
4 Barley and wheat are less tolerant during germination and seeding stage; ECe should not exceed 4–5 dS/m in the upper soil during this period.
5 Beets are more sensitive during germination; ECe should not exceed 3 dS/m in the seeding area for garden beets and sugar beets.
6 Semi-dwarf, short cultivars may be less tolerant.
7 Tolerance given is an average of several varieties; Suwannee and Coastal Bermuda grass are about 20 percent more tolerant, while Common and Greenfield Bermuda grass are about 20percent less tolerant.
8 Broadleaf Birdsfoot Trefoil seems less tolerant than Narrowleaf Birdsfoot Trefoil.
9 Tolerance given is an average for Boer, Wilman, Sand and Weeping Lovegrass; Lehman Lovegrass seems about 50 percent more tolerant.
10 These data are applicable when rootstocks are used that do not accumulate Na+ and Cl- rapidly or when these ions do not predominate in the soil. If either ions do, refer to the toxicity discussion in Section 4.
11 Tolerance evaluation is based on tree growth and not on yield.
Univ. of Minnesota – Surface Water Quality Investigation 68
Table 5 RELATIVE SALT TOLERANCE OF AGRICULTURAL CROPS
TOLERANT3
Fibre, Seed and Sugar Crops
Barley Hordeum vulgare
Cotton Gossypium hirsutum
Jojoba Simmondsia chinensis
Sugarbeet Beta vulgaris
Grasses and Forage Crops
Alkali grass, Nuttall Puccinellia airoides
Alkali sacaton Sporobolus airoides
Bermuda grass Cynodon dactylon
Kallar grass Diplachne fusca
Saltgrass, desert Distichlis stricta
Wheatgrass, fairway crested Agropyron cristatum
Wheatgrass, tall Agropyron elongatum
Wildrye, Altai Elymus angustus
Wildrye, Russian Elymus junceus
Vegetable Crops
Asparagus Asparagus officinalis
Fruit and Nut Crops
Date palm Phoenix dactylifera
MODERATELY TOLERANT3
Fibre, Seed and Sugar Crops
Cowpea Vigna unguiculata
Oats Avena sativa
Rye Secale cereale
Safflower Carthamus tinctorius
Sorghum Sorghum bicolor
Soybean Glycine max
Triticale X Triticosecale
Wheat Triticum aestivum
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Wheat, Durum Triticum turgidum
Grasses and Forage Crops
Barley (forage) Hordeum vulgare
Brome, mountain Bromus marginatus
Canary grass, reed Phalaris arundinacea
Clover, Hubam Melilotus alba
Clover, sweet Melilotus
Fescue, meadow Festuca pratensis
Fescue, tall Festuca elatior
Harding grass Phalaris tuberosa
Panic grass, blue Panicum antidotale
Rape Brassica napus
Rescue grass Bromus unioloides
Rhodes grass Chloris gayana
Ryegrass, Italian Lolium italicum multiflorum
Ryegrass, perennial Lolium perenne
Sudan grass Sorghum sudanense
Trefoil, narrowleaf Lotus corniculatus
birdsfoot tenuifolium
Trefoil, broadleaf Lotus corniculatus
birdsfoot arvenis
Wheat (forage) Triticum aestivum
Wheatgrass, Agropyron sibiricum
standard crested
Wheatgrass, intermediate Agropyron intermedium
Wheatgrass, slender Agropyron trachycaulum
Wheatgrass, western Agropyron smithii
Wildrye, beardless Elymus triticoides
Wildrye, Canadian Elymus canadeneis
Vegetable Crops
Artichoke Helianthus tuberosus
Beet, red Beta vulgaris
Squash, zucchini Cucurbita pepo melopepo
Fruit and Nut Crops
Fig Ficus carica
Jujube Ziziphus jujuba
Olive Olea europaea
Papaya Carica papaya
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Pineapple Ananas comosus
Pomegranate Punica granatum
MODERATELY SENSITIVE3
Fiber, Seed and Sugar Crops
Broadbean Vicia faba
Castorbean Ricinus communis
Maize Zea mays
Flax Linum usitatissimum
Millet, foxtail Setaria italica
Groundnut/Peanut Arachis hypogaea
Rice, paddy Oryza sativa
Sugarcane Saccharum officinarum
Sunflower Helianthus annuus Grasses and Forage Crops
Alfalfa Medicago sativa
Bentgrass Agrostis stolonifera palustris
Bluestem, Angleton Dichanthium aristatum
Brome, smooth Bromus inermis
Buffelgrass Cenchrus ciliaris
Burnet Poterium sanguisorba
Clover, alsike Trifolium hydridum
Clover, Berseem Trifolium alexandrinum
Clover, ladino Trifolium repens
Clover, red Trifolium pratense
Clover, strawberry Trifolium fragiferum
Clover, white Dutch Trifolium repens
Corn (forage) (maize) Zea mays
Cowpea (forage) Vigna unguiculata
Dallis grass Paspalum dilatatum
Foxtail, meadow Alopecurus pratensis
Grama, blue Bouteloua gracilis
Lovegrass Eragrostis sp.
Milkvetch, Cicer Astragalus cicer
Oatgrass, tall Arrhenatherum Danthonia,
Oats (forage) Avena sativa
Orchard grass Dactylis glomerata
Univ. of Minnesota – Surface Water Quality Investigation 71
Rye (forage) Secale cereale
Sesbania Sesbania exaltata
Siratro Macroptilium atropurpureum
Sphaerophysa Sphaerophysa salsula
Timothy Phleum pratense
Trefoil, big Lotus uliginosus
Vetch, common Vicia angustifolia
Vegetable Crops
Broccoli Brassica oleracea botrytis
Brussels sprouts B. oleracea gemmifera
Cabbage B. oleracea capitata
Cauliflower B. oleracea botrytis
Celery Apium graveolens
Corn, sweet Zea mays
Cucumber Cucumis sativus Eggplant Solanum melongena esculentum
Kale Brassica oleracea acephala
Kohlrabi B. oleracea gongylode
Lettuce Latuca sativa
Muskmelon Cucumis melo
Pepper Capsicum annuum
Potato Solanum tuberosum
Pumpkin Cucurbita peop pepo
Radish Raphanus sativus
Spinach Spinacia oleracea
Squash, scallop Cucurbita pepo melopepo
Sweet potato Ipomoea batatas
Tomato Lycopersicon lycopersicum
Turnip Brassica rapa
Watermelon Citrullus lanatus
Fruit and Nut Crops
Grape Vitis sp.
SENSITIVE3
Fibre, Seed and Sugar Crops
Bean Phaseolus vulgaris
Guayule Parthenium argentatum
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Sesame Sesamum indicum
Vegetable Crops
Bean Phaseolus vulgaris
Carrot Daucus carota
Okra Abelmoschus esculentus
Onion Allium cepa
Parsnip Pastinaca sativa
Fruit and Nut Crops
Almond Prunus dulcis
Apple Malus sylvestris
Apricot Prunus armeniaca
Avocado Persea americana
Blackberry Rubus sp.
Boysenberry Rubus ursinus
Cherimoya Annona cherimola
Cherry, sweet Prunus avium
Cherry, sand Prunus besseyi
Currant Ribes sp.
Gooseberry Ribes sp.
Grapefruit Citrus paradisi
Lemon Citrus limon
Lime Citrus aurantiifolia
Loquat Eriobotrya japonica
Mango Mangifera indica
Orange Citrus sinensis
Passion fruit Passiflora edulis
Peach Prunus persica
Pear Pyrus communis
Persimmon Diospyros virginiana
Plum: Prume Prunus domestica
Pummelo Citrus maxima
Raspberry Rubus idaeus
Rose apple Syzygium jambos
Sapote, white Casimiroa edulis
Strawberry Fragaria sp.
Tangerine Citrus reticulata
1 Data taken from Maas (1984).
Univ. of Minnesota – Surface Water Quality Investigation 73
2 These data serve only as a guide to the relative tolerance among crops. Absolute tolerances vary with climate, soil conditions and cultural practices.
3 The relative tolerance ratings are defined by the boundaries in Figure 10. Detailed tolerances can be found in Table 4 and Maas (1984).
Univ. of Minnesota – Surface Water Quality Investigation 74
Univ. of Minnesota – Surface Water Quality Investigation 75
Chapter Two :
Minnesota Surface Water Quality for Livestock
and Wildlife Use
Univ. of Minnesota – Surface Water Quality Investigation 76
Introduction
This chapter contains recommendations for Class 4B waters under Minnesota Rules
Chapter 7050. The literature (peered reviewed journals, extension bulletins and fact
sheets; regulatory explanations, popular press, and others) generally does not
differentiate between groundwater and surface water sources in describing research
findings; case finds; observations; and/or opinions. Most of the information obtained
deals with groundwater quality.
Literature dealing with drinking water quality of wildlife is limited thus the assumption
that values recommended for domesticated animals would cover terrestrial wildlife and
wild birds species. The literature does not differentiate between wild versus
domesticated animals or birds.
Note that 99+% of the domesticated poultry operations, dairies, beef feedlots for back
grounding land finishing and swine operations use groundwater as a source of drinking
water. Some cow-calf operations, stocker facilities and equine operations use surface
water for drinking. A Minnesota surface water uses report indicates that close to zero
percent of livestock drinking water is allocated from surface water (MN DNR 2009).
Generally, drinking water issues are not a problem in the livestock sector, thus there is
very little current research available and many values remain unknown in determining
water quality constitutes for those species. In essence, criteria developed for water uses
for livestock and poultry attempt to emphasize the contribution of those constituents to
animal and bird health, avoidance of negative effects on the humans consuming those
animals and birds and encouraging productive potentials from those species to promote
livestock and poultry industries.
Water consumption is influenced by several factors such as species, genetics, age, body
size, activity (use), ambient temperature and humidity, water temperature, salinity
concentration, and level of production. To that effect, water borne toxicants ingested is
Univ. of Minnesota – Surface Water Quality Investigation 77
determined by the concentration of substances in water and the amount of water the
animal and bird drinks (Raisbeck et. al. 2008). Criteria developed below determine the
extent of relevance of existing water quality constituents to areas of relevance to surface
water quality not withstanding groundwater quality effects.
Table 6. Existing Surface Water Quality for Livestock, Poultry and Wildlife Drinking
Wildlife and Livestock
Watering
Class 4B Standard - use by livestock and wildlife without
inhibition or injurious effects.
pH minimum value 6
pH maximum value 9
Total salinity 1,000 mg/L
Radioactive materials Not to exceed the lowest concentrations permitted to be
discharged to an uncontrolled environment as prescribed by
the appropriate authority having control over their use.
Toxic substances None at levels harmful either directly or indirect
Univ. of Minnesota – Surface Water Quality Investigation 78
Table 7. Recommended Surface Water Quality for Livestock, Poultry and Wildlife Drinking
Wildlife and
Livestock Watering
VALUES –
use by livestock and wildlife
without inhibition or injurious
effects.
pH
Minimum value
Maximum value
6
9
Total dissolved solids
Poultry (wild birds)
Livestock (non-bird wildlife)
3000 mg/L
5000 mg/L
Nitrate-N (Includes nitrite-N) 100 mg/L
Sulfate (as SO4=)
Acclimated
Non-acclimated
Young stock: Calves, piglets, lambs,
and others.
2000 mg/L
1000 mg/L
500 mg/L
Univ. of Minnesota – Surface Water Quality Investigation 79
Recommendations
The site characteristics and conditions help define water constituents in particular
surface water sources, and therefore to that effect areas of particular high
concentrations of these constituents should be identified, since existing guidelines were
not tied with any particular regions.
Individual species respond differently to water quality based on size, species and water
needs. It is, therefore, necessary to explore questions particular to diverse species and
to different wild animals and birds.
More research is needed into the effect of maximum values not established, such as:
Chlorides
Sodium, potassium, calcium, magnesium
Phosphorus (phosphates)
Metals (including arsenic)
Microbial (bacteria, algae, and others)
Definitions
Siemens (electricity)—A unit of conductance, admittance, and susceptance, equal to the
conductance between two points of a conductor such that a potential difference of 1 volt
between these points produces a current of 1 ampere; the conductance of a conductor
in siemens is the reciprocal of its resistance in ohms. Formerly known as mho (Ω);
reciprocal ohm. Symbolized S.
Total dissolved solids (TDS)—mass per unit volume of water of solids material that are
residue left after filtration and subsequent water evaporation. Typical units are mg/L. In
natural waters, the vast majority of TDS are salts. TDS can be an indication of salinity or
Univ. of Minnesota – Surface Water Quality Investigation 80
salt content in the water. A common, easy, and quick estimate of TDS is through
electrical conductivity (EC) measurements, but again, this yields only an estimate of
TDS. Typical units of EC are mhos per centimeter (mhos/cm) or Siemens per meter
(S/m). Typical units for natural waters are μmhos/cm or dS/m. TDS can be related
approximately to EC by:
TDS (mg/L) ≅ k * EC (dS/m)
The value of k varies from 0.5 to 0.9 depending on TDS, individual constituents, and
temperature. Typical value of k used for most waters is 0.64.
NOTE: Accepted TDS values would be entered in this TDS equation for acceptable dS/m
values.
Univ. of Minnesota – Surface Water Quality Investigation 81
Appendix C: Explanation from Professor Chuck Clanton of Livestock Review Comments
Prof. Charles Clanton
Department of Bioproducts and Biosystems Engineering
University of Minnesota
General statement
Drinking water quality recommendations are primarily based on the human consumption
standards. Very little research has been conducted on drinking water quality of terrestrial
wildlife with the exception of some research dealing with total dissolved salts (solids),
nitrates, and some sulfates. The recommendations found in the peer reviewed literature,
extension bulletins and popular press should be taken as a guide and not as an absolute
value or barrier not to exceed. The best summary on sulfur intake effects and limitations
can be found in Raisbeck et. al (2007).
Youngstock definition
A formal definition of youngstock was not found. No definition was found in any
textbook nor FASS (Federation of Animal Science Societies). Generally, younstock is
only used in the dairy industry and is considered animals less than 24 months old.
• Oxford Dictionaries (World Dictionary) defines youngstock as “young farm
animals.”
• Wikipedia does not have a definition.
• From a riding club this definition was derived “Youngstock Horse or Pony to be 3
years or under.”
Univ. of Minnesota – Surface Water Quality Investigation 82
Acclimation period for changing water concentrations
Nothing definite was found on the acclimation time period. But the following might help:
• Straw et. al (1999) indicated that swine need three weeks to be acclimated to a
new environment.
• Harris & VanHorn (2007) indicated that a period of a few weeks is needed for
cattle to develop resistance to sulfates.
• Anderson and Stothers (1978) indicated that 80% of pig scouring occurred in the
first week (initial adaptation period) of acclimation to different water.
• German et. al (2008) indicates “it may take a long time for animals to acclimate
to saline water…”
• In personal conversation with Jim Linn (Department of Animal Science, University
of Minnesota), he indicated that show animals (4-H, FFA, and others) adjust to
new water sources within a day; two at the maximum.
Maximum standard concentration or 4-day rolling average
The numerical values should be treated as a guideline, thus some flexibility which an
animal could handle some spiking (sudden increase), short-term increase, or variability
in chemical concentrations
Standard concentration continuous / long-term exposure / sustainable
No absolute statement (or wordage) on this was found, but the impression is that the
numerical recommendation or guideline are for the life of the animal (unless noted
differently as short-term or acute).
Suggested sulfate concentrations
Numerous individuals and organizations have suggested sulfate concentrations in
livestock drinking water—some original and some taken from other sources. Note that
Univ. of Minnesota – Surface Water Quality Investigation 83
total sulfur intake is the concern, which water source is part of the total with feed or diet
being the other major source. The total daily sulfur intake is a function of species, age,
size, and usage. From the water, the form (or cation associated) of sulfate with calcium,
iron, magnesium and sodium. Note that sodium sulfate is the most potent to laxative
effects. Iron sulfate results in reduced water intake. Seasonality affects total sulfur
intake as animals drink more in summer, thus the concentration of sulfate should be
lower.
Sulfate Concentration Guidelines
Sulfate Concentration Guidelines Sources
50 desired upper limit Hutcheson (????);
Socha et. al (2003)
300 maximum upper limits Adapted from NAS
1980 & 1974
<125 desired level Schoonmaker (2001)
125 level considered average poultry
250 maximum acceptable level
Watkins (2003)
<250 desired range for livestock
>2000 problem range
Pfost & Fulhage
(2007)
<250 expected (based on humans)
1000 useful rule of thumb
1200 compromised lactation
Beede (2005)
Univ. of Minnesota – Surface Water Quality Investigation 84
>2000 possible problem
350-600 for young animals
Severe chronic diarrhea
Electrolyte imbalances
Griffen (????);
Machmeier (1984)
500 for calves
1000 for cattle
Harris and VanHorn
(2007)
500 threshold concentration for livestock
1000 limiting concentration
Beede (2005)
>500 dependent on specific form of sulfate Linn & Raeth-Knight
(????)
<1000 Canadian guidelines
1000 may cause scouring in young pigs
>1000 may be tolerated depending on pig age
2000 w/o effecting pig growth or feed efficiency
2650 decreases feed conversion
Peer (1997)
<1000 no loss in performance
Chronic exposure (months)
<1800 minimizes acute death
Short exposure (days—weeks)
Raisbeck et. al
(2007)
Univ. of Minnesota – Surface Water Quality Investigation 85
1450 maximum tolerance cattle
2814 cattle rejected water
Weeth & Capps
(1972)
1650 pigs tolerate Patience et. al (2004)
2000-2500 initial diarrhea cattle
Become resistant
Looper & Waldner
(2007)
2500 health nor growth compromised cattle
3317 cattle rejected
Digesti & Weeth
(1976)
3000 no harmful effect in swine
Some scouring in weanling pigs
Guyer (1979)
3493 reduced water & dry matter intake
Loss weight in cattle
Weeth & Hunter
(1971)
Dropping sulfate concentration from 1000 to 500 mg/L for youngstock
Rational for 500 mg/L Sources
Sources recommend 500 mg/L for calves and 1000
mg/L for cattle.
Linn & Raeth-Knight
(?????); Harris and
VanHorn (2007); Looper
& Waldner (2007)
1000 may cause scouring in young pigs
>1000 may be tolerated depending on pig age
Peer (1997)
“Older animals are more resistant to harm from Guyer (1979)
Univ. of Minnesota – Surface Water Quality Investigation 86
salinity than are the young.”
Seasonality of the sulfate concentrations
Seasonality affects total sulfur intake as animals drink more in summer, thus the
concentration of sulfate should be lower.
Under the assumption that sulfate concentration is of concern for young animals, this
could be a seasonal concern for wildlife, as animals are born, hatched, etc. in the spring.
Thus for wildlife, the lower concentrations would only be needed in the spring and as the
animals grow and mature, the sulfate concentrations could increase.
Since most domesticated animals (especially dairy, pigs, and poultry) are born year
round this seasonal effect should not be a problem; only maybe with beef or horses.
Univ. of Minnesota – Surface Water Quality Investigation 87
References
Anderson , D. M. and S. C. Stothers. 1978. Effects of Saline Water High in Sulfates,
Chlorides and Nitrates on the Performance of Young Weaning Pigs. Journal of Animal
Science 47:900-907.
Ayers, R. S., and D. W. Westcot. 1994. Water Quality for Agriculture. Chapter 6. Water
Quality for Livestock and Poultry. Food and Agriculture Organization of the United
Nations.
Canadian water quality guidelines, Canadian Council of Resource and Environment
Ministers. 1987. Prepared by the Task Force on Water Quality Guidelines. [Reprinted in
Canadian environmental quality guidelines, Chapter 4, Canadian Council of Ministers of
the Environment, 1999, Winnipeg.]
CAST. 1974. Comments on Proposed Criteria for Water Quality. Volume I. Quality of
Water for Livestock. Report No. 26. Council on Agricultureal Science and Technology.
Digesti, R. D., and H. J. Weeth. 1976. A Defensible Maximum for Inorganic Sulfate in
Drinking Water of Cattle. Journal of Animal Science 42:1498-1502.
German, D., N. Thiex, and C. Wright. 2008. Interpretation of Water Analysis for
Livestock Suitability. South Dakota State University. C274.
Guyer, P. Q. 1979. Livestock Water Quality. NebGuide G79-467. Cooperative Extension
Service. University of Nebraska.
ISU. 1976. Proceedings from Continuing Education Offering: Water Quality for Animals.
Iowa State University. Ames, Iowa.
Univ. of Minnesota – Surface Water Quality Investigation 88
Jaskcon, G., B. Webendorfer, R. Hall, J. Crowley, and D. Keeney. 1983. Nitrate,
Groundwater, & Livestock Health. University of Wisconsin-Madison; Cooperative
Extension Service.
Koelkebeck, K. W., J. S. McKee, P. C. Harrison, and C. M. Parsons. 1999. Performance of
Laying Hens Provided Water from Two Sources. Journal of Applied Poultry Research
8:374-379.
Lardy, G. and C. Stoltenow. 1999. Livestock and Water. North Dakota State University.
AS-954.
Linn, J. 2008. Impact of Minerals in Water on Dairy Cows. University of Minnesota
Extension
Machmeier, R. 1984. Water Quality for Livestock and Poultry. AG-FO-1864. Agricultural
Extension Service. University of Minnesota.
Mancl, K., M. Sailus, and L. Wagenet. 1991. Private Drinking Water Supplies. Quality,
Testing, and Options for Problem Waters. NRAES-47. Northeast Regional Agricultural
Engineering Service. Ithaca, NY.
MDH. 2008. Arsenic in Drinking Water. Minnesota Department of Health.
Nagpal, N. K., D. A. Levy, and D. D. MacDonald. 2003. Ambient Water Quality Guidelines
for Chlorine. Environmental Protection Division. Ministry of Environment. Government of
British Columbia, Canada.
NAS. 1974. Nutrients and Toxic Elements in Water for Livestock and Poultry. National
Academy of Sciences.
Univ. of Minnesota – Surface Water Quality Investigation 89
NAS. 2005. Mineral Tolerance of Animals: Second Revised Edition. Chapter 35. Water as
a Source of Toxic Substances. National Academy of Sciences.
Olson, O. E., R. J. Emerick, and L. Lubinus. 1976. Nitrates in Livestock Waters. FS 603.
Cooperative Extension Service. South Dakota State University.
Paterson, D. W. R. C. Wahlstrom, G. W. Libal, and O. E. Olson. 1979. Effects of Sulfate
in Water on Swine Reproduction and Young Pig Performance. Journal of Animal Science
49:664-667.
Pfost, D. L., and C. D. Fulhage. 2001. Water Quality for Livestock Drinking. MU Guide.
EQ-381. University of Missouri-Columbia.
Raisbeck M. F., S. L. Riker, C. M. Tate DVM, R. Jackson, M. A. Smith, K. J. Reddy, J. R.
Zygmunt 2009. Water Quality for Wyoming Livestock & Wildlife. A Review of the
Literature Pertaining to Health Effects of Inorganic Contaminants. URL:
http://ces.uwyo.edu/PUBS/B1183.pdf
Rosenstock, S. S., V. C. Bleich, M. J. Rabe, and C. Reggiardo. 2005. Water Quality at
Wildlife Water Sources in the Sonoran Desert, United States. Rangeland Ecology &
Management 58 (6):623-627.
Rumble, M. A. 1985. Quality of Water for Livestock in Man-made Impoundments in the
Northern High Plains. Journal of Range management 38(1): 74-76.
Soltanpour, P. N., and W. L. Reddy. 1993. Livestock Drinking Water Quality. Colorado
State University Cooperative Extension. No. 4.908. Reviewed 1999.
Univ. of Minnesota – Surface Water Quality Investigation 90
Wheeler, E., B. Koenig, J. Harmon, P. Murphy, and D. Freeman. 2005. Horse Facilities
Bandbook. Chapter 11. Utilities. MidWest Plan Service Handbook No. 60.
Univ. of Minnesota – Surface Water Quality Investigation 91
Chapter Three:
Minnesota Surface Water Quality for Industrial Uses
Univ. of Minnesota – Surface Water Quality Investigation 92
Abstract
This report provides industry perspective and recommendations to current Minnesota
State water quality standards for the Class 3 Industrial Consumption use classification
(Minnesota Pollution Control Agency 2009). This report provides a brief description of
the effects of impurities found in source waters, and their relation to possible corrosion,
scaling and deterioration of processing equipment. Additionally, makeup water, and
feedwater chemistries are given for typical industrial boiler and cooling water systems.
The conclusion of this investigation is that industrial users treat source water in order to
meet specific water chemistry requirements pertaining to particular operational or
production needs. Thus industries will treat a given supply in order to meet their own
requirements. Based upon water chemistry sampling throughout the state for chlorides
and hardness, recommendations are made to amend the current Class 3 water quality
standards.
Beneficial Uses
Currently waters of the state of Minnesota have use classifications and water quality
rules pertaining to Industrial uses (specified in Minn. R. ch. 7050). Surface waters used
for this purpose are classified as, Class 3 Industrial Consumption use (Minnesota
Pollution Control Agency, 2009). This class is divided into four subclasses, and further
characterized by specific water quality parameters and concentrations (Table 8):
Univ. of Minnesota – Surface Water Quality Investigation 93
Table 8. Class 3 Industrial Consumption use (Minnesota Pollution Control Agency, 2009)
Class
Chlorides
mg/L
Hardness
(Ca + Mg as
CaCO3) mg/L
pH,
Minimum
pH,
Maximum
3A 50 50 6.5 8.5
3B 100 250 6 9
3C 250 500 6 9
3D Maintain Background
** For the Class D use classification “maintain background” refers to the concentration of the
water quality substance, characteristic, or pollutant that shall not deviate from the range of
natural background concentrations or conditions such that there is a potential significant adverse
impact to the designated uses.
Current Industrial Water Use
Surface waters are an abundant and valuable resource to the State of Minnesota.
Surface waters are also a valuable freshwater resource for industrial processes. Current
surface water withdrawals used for industrial supplies are defined under two major use
categories: power generation, and industrial processing (Minnesota Department of
Natural Resources, 2007).
Thermoelectric Power Generation
Water used to cool power generating plant equipment. This is historically the largest
volume of use and relies almost entirely on surface water sources. Thermoelectric power
generation use is primarily non-consumptive use*, in that most of the water withdrawn
is returned to its original source.
Univ. of Minnesota – Surface Water Quality Investigation 94
Industrial Processing
Water used in mining activities, paper mill operations, food processing. Three-fourths or
more of withdrawals are from surface water sources. Consumptive use* varies,
depending upon the type of industrial process.
*Consumptive use is defined as water withdrawn that is not directly returned to its
original source. Surface water withdrawals are considered consumptive if the water is
not directly returned to the source so that it is available for immediate further use.
Minnesota is home to a diverse industrial community, from electrical power plants to
mining, from paper and pulp to air conditioning. Each industry has a characteristic
requirement for quality and quantity of water in order to operate. As such, demand for
surface water by industrial facilities is a traditional need and recent trends suggest this
need is increasing. For example, in a USGS report on U.S. water use (Hutson, et al.
2004); the report describes industrial usage for the State of Minnesota amounting to
2,260 Million gallons per day (Mgal/day) of surface water were reportedly used for
thermoelectric-power. Of that, 1,330 Mgal/day was used for “once through” cooling
process, and 935 Mgal/day used for “closed loop” cooling. Mining accounted for 581
Mgal/day, and self-supplied industrial withdrawals totaled 97.8 Mgal/day of surface
waters. More recently, in 2007 the Minnesota Department of Natural Resources (2005-
2006 water year) reported, 900,173.60 (Mgal) of surface water were used for power
generation, followed by industrial processing at 167,355.80 Mgal, temporary processing
at 436.50 Mgal and water level maintenance 44,118.70 Mgal, bringing industrial uses to
a grand total of 1,322,381.7 Mgal/year. A detailed summary of use categories can be
found in Table 1.
Univ. of Minnesota – Surface Water Quality Investigation 95
Table 9. Minnesota DNR 2005 Water Use (in Millions of gallons) for Power generation, Industrial Processing, and Water level maintenance (Source: (Minnesota Department of Natural Resources 2007))
Water Use Category 2004 (Mgal) 2005 (Mgal)
Power generation
Nuclear Power 311140.1 323,949.60
Steam Power Cooling 437025.2 454,380.30
Other Power 122869.4 121,843.70
Power Generation
Total 871034.7 Mgal 900,173.60 Mgal
Industrial Processing
Agricultural 33.2 46.5
Pulp and Paper 25232.1 25,864.90
Mine 110308 114,951.70
Sand and Gravel Washing 2726.8 2,583.90
Industrial Process Cooling Once-through 189.2 191.6
Univ. of Minnesota – Surface Water Quality Investigation 96
Petroleum or Chemical 156.7 126.4
Metal 0 0
Non-Metal 0.4 0.1
Industrial Processing
Total 138646.4 Mgal 143765.1 Mgal
Other
Air Conditioning Commercial and Institutional
Building AC 248.8 244.7
District Heating 0 0
Once through Heating or AC 0 0
Heat Pumps and Coolant Pumps 54.6 90.9
Other Total 277596.2 Mgal 167,355.80 Mgal
Temporary
Temporary construction Non-dewatering 14.9 28.5
Temporary construction dewatering 183.2 350.5
Temporary pipeline and tank testing 0 1.6
Univ. of Minnesota – Surface Water Quality Investigation 97
Other temporary 156.6 55.9
Temporary Total 354.7 Mgal 436.5 Mgal
Water level Maintenance
Basin (lake) level Maintenance 358.3 9,221.90
Mine dewatering 21963.9 21,664.70
Quarry Dewatering 11791.2 12,259.20
Sand/Gravel pit dewatering 636.3 972.9
Water Level
Maintenance Total 34749.7 Mgal 44,118.70 Mgal
Univ. of Minnesota – Surface Water Quality Investigation 98
Industry Perspective
One of the goals of this report was to find detailed raw water quality standards
associated with various industrial sectors. However, this information was extremely
limited, ambiguous or not publically available. Phone calls, and emails were sent to
various sectors and representative groups, but response was limited. In the end, a series
of short interviews were conducted to gain an understanding and perspective into
Minnesota’s industry and water quality situation. Representatives from the
semiconductor, beverage and refining industries helped to define this perspective (Table
2).
Although those surveyed currently use well water as a primary feedwater source, their
opinions on water use and treatment are applicable for purposes of water quality
considerations. Each representative stated a likely feedwater source is generally any
source with a consistent matrix, thus enabling limited processing and pretreatment.
Preferential feed water quality was considered to be that with low organics, consistent
temperature, limited solid content (Total Suspended Solids (TSS) and Total Dissolved
Solids (TDS)), as well as low ammonia and chloride content. In each case water quality
was not considered a limiting factor due to the extensive pretreatment of feedwater
which ensues prior to use. For example the semiconductor industry representative stated
water is pretreated to obtain an ultra-purified state. The beverage industry
representative stated the company was more likely to develop treatment methods to
meet water quality inconsistencies. The Refining industry representative stated primary
usage of water is for boiler and cooling. Going on to state, if surface waterways were
used as a primary water source, “ease” of pretreatment would depend upon available
treatment technologies and the resident water quality impurities of the source.
Univ. of Minnesota – Surface Water Quality Investigation 99
Table 10. Industry perspectives of water source, and quality. Derived from Personal communications on May 27, 2009
Semiconductors
Beverage
Refining
Water Source Well Water
Well Water
(Water must be potable -
certified by Health
Department)
Well Water
Water Quality
Considerations
Water needs to have
a consistent matrix Consistent Matrix
Primary uses for
Cooling water, to
convert to boiler
feedwater
Low Organics,
Consistent
Temperature
Low Organics, Low TSS
Solids (TSS, and
TDS), Ammonia,
Chlorides
Comments
All water is treated
to obtain ultra
purified water
Depending upon the water
quality of water used, the
company will design
treatment to meet source
water quality
inconsistencies
Must remove
impurities to attain
proper water
quality for boiler
water
Uses Sand Filter,
Reverse Osmosis,
and Deionization
Treat all water
regardless of use
Univ. of Minnesota – Surface Water Quality Investigation 100
Sources of Water
Water used for industrial uses is obtained from a variety of sources, and used in a
variety of ways. For example, typical uses of water withdrawn for manufacturing, mines
and power generating plants are considered to be for processing (cleaning, various
stages of needed inputs), steam production, basic sanitation, and plant cleaning (Ritchie
2005). A sufficient supply of water is needed for industrial processes (U.S. Army Center
for Public Works 1998). Common sources include: rivers, lakes, streams and
groundwater. Surface water sources can vary in composition as they are influenced by
the local environment’s hydrographic and physiographic features (EPRI 1999, U.S. Army
Center for Public Works 1998, Moyle 1956). Influencing factors include: local geology,
soils, resident vegetation and organic matter, land management (agriculture,
contaminants from impervious surfaces, etc), and climate (temperature variations,
seasonality of precipitation, drought, lake turnover, etc). Due to these factors, surface
water is generally found to consist of varying levels of organic matter, suspended solids,
dissolved minerals and gases (EPRI 1999, U.S. Army Center for Public Works 1998,
Elliot et al1997). Changes in source water quality composition can influence treatment
procedures, and plant efficiency (EPRI 1999). In many cases, plants opt to deviate from
expansive treatment procedures, choosing to use pretreated potable municipal water
supplies (EPRI 1999).
If the source water is untreated (non-municipal, non-potable) after intake, raw water is
often pretreated to create a homogenous makeup for storage and use by the industrial
user. Water treatment helps to stabilize the mix, reducing or removing impurities which
could cause complications during operation of the system (U.S. Army Center for Public
Works 1998). Impurities are characterized by several forms: ionic, nonionic, dissolved,
suspended, colloidal, and gaseous (EPRI 1999, Elliott et al 1997). Impurities can be
detrimental to industrial equipment and processing, causing corrosion, deposition
(including scaling), fouling, and or deterioration of media and membranes (Table 3).
Univ. of Minnesota – Surface Water Quality Investigation 101
Treated Water: Types and Uses
The industrial sector of Minnesota is diverse, as previously indicated by the
categorization of surface water permitting (Table 1). To fully analyze water quality for
each use, an in-depth analysis of the thermodynamic properties of the solute, as well as
additional analysis of temperature, pressure, and phase of solvent, must be considered
for each industrial use and mechanical process (Jonas and Mancini 1998). Thus, it would
be out of the scope of this report to fully describe each sector and its relation to the
composition of raw water. For example the primary water systems used in a steam plant
include: feedwater/boiler/after boiler circuit, makeup system, condenser cooling, closed
cooling water. Each of these systems utilizes water differently, thus requiring water to
undergo different treatments in order to reach the desired chemical composition. For
instance to protect against corrosion, Buecker (1997) notes, treatments can vary from a
simple corrosion inhibitor for a closed cooling system, to highly purified feedwater dosed
with treatment chemicals for a boiler which reaches temperatures of 1050°F. Table 4
illustrates some effects of chemical compounds upon plant equipment and operation
(Buecker 1997).
Univ. of Minnesota – Surface Water Quality Investigation 102
Table 11. Impurities in Water Supplies (EPRI 1999)
Univ. of Minnesota – Surface Water Quality Investigation 103
Table 12. Chemical compound effect on plant equipment and operation (Buecker 1997)
Compound Effect on Plant Equipment and Operation
Oxygen
Oxygen is often the principal corrodent in water systems. It causes pitting
and failures of pipes and heat exchangers. Oxygen corrosion in boiler
systems generates particulates that travel to the boiler where they
precipitate and cause further problems.
Calcium
Calcium can combine with a number of anions to form deposits and
scales. In cooling water systems the most common deposits include
calcium carbonate, calcium phosphate, and calcium sulfate. These scales
retard heat transfer in condensers and other heat exchangers, and may
cause under deposit corrosion. Calcium scale is even more problematic in
boilers, as the high temperatures greatly accelerate deposition and
corrosion mechanisms.
Magnesium
Magnesium will react with carbonates and silicates to form compounds of
low solubility. Magnesium salts that leak into a boiler can react at high
temperatures with water to produce acid. The corrosiveness of acidic
solutions is greatly increased at the high temperatures found in boilers.
Silica
Silica combines with a wide variety of elements to produce silicates, or it
may form deposits on its own. Silicates form tenacious deposits in cooling
water systems, boiler tubes, and on turbine blades. The scales are inert
to most chemical cleaning solutions with the exception of hydrofluoric
acid. This is an extremely dangerous compound, and makes prevention of
silica deposition even more important.
Univ. of Minnesota – Surface Water Quality Investigation 104
Organics
Organics are usually found in surface waters and are the result of
decaying vegetation or farm runoff. Organics break down in the boiler to
form organic acids. The resultant low pH can be quite deleterious.
Organic acids and carbon dioxide produced by decomposition can carry
over to steam turbines and corrode the blades. Organics may also be
found in the condensate return at industrial and cogeneration facilities.
These organics are usually much shorter chained than surface water
organics and may require different treatments.
Suspended solids
Suspended solids, which are also generally found in surface waters, will
foul makeup treatment equipment including reverse osmosis units and ion
exchangers. They will also form deposits in cooling towers and cooling
water heat exchangers, a process that is exacerbated by the presence of
microbiological organisms.
Microbes
Microbiological fouling is principally troublesome in exchanger tubes and
cooling tower film. The slime produced by microbiological organisms will
trap silt and suspended solids, further aggravating the situation. Microbes
are a leading cause of under-deposit corrosion.
A necessary step in use of raw water, is the need to ultimately purify the water, but
water purification can be costly. As noted by Robinson (1998) “the quality of feedwater
required depends on boiler operating pressure, design, heat transfer rates, and steam
use.” Water used for industrial processing often undergoes pre-treatment to obtain
“pure water” in order to combat corrosion and deposition potential. Pure water is
considered to be: deionised, purified, apyrogenic, high purity or ultra-pure water.
Purified water is widely used in a myriad of sectors, varying by application. For example,
according to Bennet (2006), deionised water is used in medium pressure boilers, renal
dialysis, battery top-up applications; purified water is used in pharmaceuticals,
Univ. of Minnesota – Surface Water Quality Investigation 105
cosmetics, chemical manufacturing; apyrogenic water is used for vial washing, tissue
culture, water for injections; high purity water is used for high pressure boilers,
laboratories; and ultra-pure water is used for micro-electronics, and supercritical boilers.
Water quality standards associated with each type of pure water are detailed in Table 5.
Table 13. Pure water quality classification. (Source: Bennett 2006
Cost Associated with Industry and Water
Requiring preprocessing of raw water for specific industries can be costly. Water use for
industry use, is a function of three primary uses: 1) production processes, 2) cooling
(production of steam), 3) other miscellaneous purposes (cleaning and personal
sanitation) (Renzetti 2005). Many industries in Minnesota are considered “self supplied”
firms, in that they incur pumping costs as they do not receive water from a municipal
potable water treatment plant. Self supplied firms incur many costs, 1) internal costs
from pumping and treatment, and on site storage, 2) external fees from local or State
government (permitting), 3) internal costs associated to disposal (treatment, pumping
and storage) (Renzetti 2005). It is important to evaluate costs of water based upon its
role in production (intake water, internal circulation, and other inputs) (Renzetti 2005,
Bennet 2006). Cost can then be considered the cumulative price for processing and
Univ. of Minnesota – Surface Water Quality Investigation 106
cooling/steam water uses as a function of intake and recirculation. Intake and
recirculation is then subdivided into: intake-energy, intake-labor, intake-materials,
intake-capital, recirculation-energy, recirculation-labor, recirculation-materials,
recirculation-capital and recirculation-intake (Dupont and Renzetti 1998). Therefore
water intake, circulation and disposal has a cumulative cost based upon the necessities
of industry sectors. DeRooy (1974) indicates economic values are based upon individual
industrial sectors. To further define costs as a whole; a more detailed economic analysis
relating relative costs to process is recommended.
Monitoring Data
Current Standards (MPCA 2009):
Class
Chlorides
mg/L
Hardness
(Ca + Mg as
CaCO3) mg/L
pH,
Minimum
pH,
Maximum
3A 50 50 6.5 8.5
3B 100 250 6 9
3C 250 500 6 9
3D Maintain Background
To represent hardness and chloride concentrations throughout the State, water
monitoring data was compiled and evaluated. Monitoring data was compiled from the
U.S. Environmental Protection Agency’s STORET (STOrage and RETrieval) database.
Data were examined from individual monitoring stations and categorized as mean,
Univ. of Minnesota – Surface Water Quality Investigation 107
median, minimum and maximum concentrations for the duration of monitoring. In order
to generalize the State, monitoring stations were averaged within a 4 digit hydrologic
unit code (HUC). It is fair to note that certain chloride and hardness concentrations
associated with individual monitoring stations could be a result of anthropogenic origin
(by-products of irrigation, road de-icing practices, etc). Thus for the purposes of this
report the mean and median values associated with long term monitoring data indicate a
trend based upon resident climate and spatial variability for a particular region. Short
term data (duration of monitoring not extending a full year) is described as a “0” year.
These data points were excluded in order to present a more regionally representative
monitoring analysis. Figure 1 describes average mean values for Chloride and Hardness.
Table 6 summarizes the average minimum, maximum, mean and medians for each
regional hydrologic unit.
Evaluating the data, an unequal distribution of chlorides and hardness can be found
throughout the State. Average median values for hardness ranges from 43.44 mg/L to
459.67mg/L (average mean values ranging from 45.28 mg/L to 467.03). A similar
distribution across the State is found with chlorides average median values ranging from
1.66 mg/L to 101.82 mg/L (average mean values ranging from 1.68 mg/L to 103.69
mg/L). Trends for hardness and chlorides suggest more concentrated values are found
in the southwestern portion of the State, extending to the northeast.
Interestingly the minimum hardness values for HUC 0401, 0402, and 0903 are below 50
mg/L concentration. HUC 0402 is the only unit where the average median, and mean
samples are not greater than the standard. Comparing average median values with
current standards, seven regions would meet the 250 mg/L concentration, where six
regions would meet a 500 mg/L concentration.
Chloride distributions are such that mean values for ten regions fall below a 50 mg/L
concentration. Average median values show eleven regions fall below 50mg/L. HUC 1017
Univ. of Minnesota – Surface Water Quality Investigation 108
mean and median values, and HUC 0702 mean value fall below 100 mg/L concentration.
HUC 0710 mean and median values fall under 250 mg/L concentration.
Annual streamflow data defining “low flow” streamflow were used to define a baseline
streamflow (Figure 2). It is fair to note the data presented here is for generalization
purposes, as low flow data is presented strictly for interpolation purposes, and not for
calculation (Also Figure 2 is represented in units of Ecoregions, which is not congruent
to monitoring data categorized in Hydrologic Unit Codes (HUC)).
Using Figure 1, studied in conjunction with Figure 2 give a visual interpolation to regions
of the State which are more subject to low flows, and areas subject to high chloride and
hardness concentrations. These values are predominantly found in the southwest corner
of the State. Future research and monitoring should investigate this occurrence more
closely. This could include an investigation of the chloride and hardness concentrations
at varying flows, which would describe a “natural background” for regions of the state.
Univ. of Minnesota – Surface Water Quality Investigation 109
Figure 3. Chloride, and Hardness concentrations for Minnesota based upon HUC-4 classification
Univ. of Minnesota – Surface Water Quality Investigation 110
Figure 4. Annual Stream Runoff for Ecological Sections based upon Ecoregions
Univ. of Minnesota – Surface Water Quality Investigation 111
Recommendations
Currently the state of Minnesota has adopted industrial water quality standards which
have statewide applicability. Yet considering the varied industrial users and source
waters permitted throughout the state, statewide applicability may not be the best
option. This investigation found industrial users have specific water chemistry
requirements tailored for particular operational or production needs. As noted by Snow
(2002): “Due to the wide parameters encountered in the quality of feedwater it is not
possible to be specific and to define which treatment suits a particular type and size of
boiler. The quality of make-up and percentage of condense returns in a system will both
have to be taken into consideration.” Thus the quantity of source water may weigh
greater than water chemistry in the consideration of industrial site selection.
Understanding that the state must consider many options, weighing each equally, there
are three options presented tailoring the current Minnesota state industrial standards. A
short summary for each option is given below.
Options for industrial standards:
1. Water quality standards characterize source waters at the “low flow” scenario.
Standards would vary across the state best representing the environmental
conditions present at the 10th percentile flow of the receiving waterway.
2. Water chemistry standards would remain as currently written, however standards
would only apply to surface waters with flows deemed sufficient to support
industrial user appropriation requirements.
3. Standards would be omitted. A replacement of narrative standards relating back
to Class 2 water quality standards. .
Univ. of Minnesota – Surface Water Quality Investigation 112
i. Water quality standards characterize source waters at the “low flow”
scenario
Current statewide standards do not address the geographically discontinuous
concentrations found in monitoring data (See section: Monitoring Data). Water quality
requirements should be structured to more appropriately represent the resident
hydrology, geology and climate variants which could affect waterways throughout the
State. Surficial waterways are subject to changes in composition due to climate
(seasonality of streamflow - caused by evaporation and transpiration), chemical
variations due to reactions of suspended mineral content, (composition) or management
of contributing drainage area, and by fluctuations in natural biota and organic matter
within the system (Hem 1985). Statewide applicability offers concern for those
dischargers across the State that may not meet statewide discrete ranges, merely due to
location and poor source water quality. A recommendation is made for creation of
classification system outlining the regionally specific environmental background
concentrations for chloride and hardness; tailoring regional thresholds to create
achievable goals for industrial users.
Recommendations are made for the adoption of industrial criteria similar to that of the
state of Colorado (criteria is given below). Variability of the site is accommodated for by
use of monitoring data taken during the ‘low flow’ time period - site specifically; while an
upper limit of the water quality parameter concentration is set to conservatively protect
waterways across the state. It is noted that if site specific data does not exist, regression
analysis of regional data could be used (our recommendation is to use an ecoregional
specific dataset instead of regionally specific).This recommendation will construct
standards reflective of the resident water quality for the ecoregion.
Univ. of Minnesota – Surface Water Quality Investigation 113
Excerpt from Colorado state water quality standards for Hardness:
(Source: Colorado Department of Public Health and Environment Water Quality Commission 2002.
Regulation No. 34. Classification and Numeric Standards for San Juan River and Dolores River Basins.)
“Hardness values to be used in equations are in mg/l as calcium carbonate and shall be
no greater than 400 mg/L. The hardness values used in calculating the appropriate
metal standard should be based on the lower 95 per cent confidence limit of the mean
hardness value at the periodic low flow criteria as determined from a regression
analysis of site-specific data. Where insufficient site-specific data exists to define the
mean hardness value at the periodic low flow criteria, representative regional data shall
be used to perform the regression analysis. Where a regression analysis is not
appropriate, a site-specific method should be used. In calculating a hardness value,
regression analyses should not be extrapolated past the point that data exist.”
ii. Standards remain the same but apply only to waters with adequate flow
volumes to service industrial users.
Another option for the state is to set a critical flow for which standards apply. In this
case the state would consider applying current standards but would limit the applicability
of the Class 3 standards to surface waters that currently are being used for industrial
purposes or that have adequate stream flows or surface volume to meet the
appropriation demands of some future industrial user. Since the State of Minnesota
establishes effluent limitations to protect the instream water quality standards down to
either the 7Q10 or 30Q10 critical low flows, it might be reasonable to assess the
practicality as to whether or not the waterbody in question has sustaining flows that
would support industrial water use appropriation. If there isn’t a realistic expectation
that there would be adequate quantities of surface water, the Class 3 standards would
not be assigned to that given waterbody or its specific reach.
Univ. of Minnesota – Surface Water Quality Investigation 114
Note: Low-Flow Frequency as defined by the USGS (2008): “The 7-day, 2-year (7Q2)
and 10-year (7Q10) annual low-flow statistics are based on an annual series of the
smallest values of mean discharge computed over any 7-consecutive days during the
annual period. A probability distribution is fit to the annual series of 7-day minimums,
and the 7Q2 statistic is the annual 7-day minimum flow with a 2-year recurrence interval
(nonexceedance probability of 50 percent), although the 7Q10 statistic is the annual 7-
day minimum flow with a 10-year recurrence interval (nonexceedance probability of 10
percent).”
iii. Standards are omitted and replaced by narrative standards relating to
Class 2water quality standards.
Another option available is to modify the current water quality standards such that they
directly relate back to current Class 2 aquatic life-recreational use water quality
standards. This option would remove current Class 3 water chemistry parameters(pH,
total hardness, and chloride) and substitutes a narrative standards citing back to the
Class 2 standards.. This option makes the assumption that if the waterway is suitable for
aquatic life and recreational use purposes, it should be suitable as an industrial source
supply. This approach continues to acknowledge industrial uses as a state beneficial use
but it does not assign a raw-water hardness water quality standard applicable to all
surface waters on a statewide basis as is the current case. It does, however, assign
protection levels for pH and chloride based on aquatic life (Class 2) driven criteria.
Waters classified as Class 7 limited resource value waters are generally low-to- zero flow
waters where in a practical sense there would not be adequate water volumes for
industrial use.
Univ. of Minnesota – Surface Water Quality Investigation 115
Conclusion
In summation, the recommendation to the State of Minnesota, to further investigate
background concentrations of chloride and hardness on a site specific or ecoregionally
specific basis. The ecoregion approach is recommended for land classification, as this
represents more homogenous ecological sections than a hydrologic unit code or
watershed approach. If site specific analysis cannot be completed, regression analysis of
representative streams or rivers should be chosen to represent the ecoregion in
question. There is a catalog of past monitoring data available for development of
regionally specific targets, and the incorporation of previously developed 7Q10
streamflow data would definitively target critical instream streamflow targets as well.
Univ. of Minnesota – Surface Water Quality Investigation 116
References
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ASME. (1989). Handbook on Water Technology for Thermal Power Systems. EPRI - Research Project RP-1958-1.
Baltimore Aircoil Company. (1992). White Rust on Galvanized Steel Cooling Towers.
Bennet, A. (2006). Process Water: Analyzing the lifecycle cost of pure water. Filtration and Separation , 43 (2), 28-32.
Binnie, C., Kimber, M., & Smethurst, G. (2002). Basic Water Treatment. London, England: Thomas Telford.
Buecker, B. (1997). Power Plant Water Chemistry: A Practical Guide. PennWell Publishing Company, ISBN-13: 978-0878146192.
Crum, J. R., & Scarberry, R. C. (October 1984 (published 1985)). Development of Galvanic Series in Various Acid and Water Environments. Proceedings of the International Conference on Corrosion of Nickel Based Alloys. Metal Park, OH: American Society for Metals.
DeRooy, Y. (1974). Price responsiveness of the industrial demand for water. Water Resources Research , 10 (3), 403-6.
DeRooy, Y. (1974). Price responsiveness of the industrial demand for water. Water Resources Research , 10 (3), 403-6.
Dupont, D., & Renzetti, S. (2001). The role of water in manufacturing. Environmental and Resources Economics , 18 (4), 411-432.
Dupont, D., & Renzetti, S. (1998). Water use in the Canadian food and beverage industry. Canadian Journal of Agricultural Economics , 46 (2), 1-11.
Elliot, T. K., Chen, K., & Swanekamp, R. (1997). Standard Handbook of Powerplant Engineering (2 ed.). McGraw-Hill Professional.
EPA. (2007). An approach for using load duration curves in the development of TMDLs. EPA.
EPA. (2004). Wastewater Treatment Systems. Special Issues Fact Sheet 3.
Univ. of Minnesota – Surface Water Quality Investigation 117
EPRI. (2006). Cycle Chemistry Guidelines for Combined Cycle/Heat Recovery Steam Generators (HRSGs). Palo Alto, CA: EPRI.
EPRI. (1998). Cycling, Startup, Shutdown, and Layup Fossil Plant Cycle Chemistry Guidelines for Operators and Chemists. Electric Power Research Institute.
EPRI. (2002). Feedwater Heater Maintenance Guide. Palo Alto, CA: EPRI.
EPRI. (2001). Feedwater Heater Technology Seminar and Symposium. Palo Alto: EPRI.
EPRI. (1999). Revised Guidelines for Makeup Water Treatment. Palo Alto: EPRI.
EPRI. (1997). State of Knowledge of Copper in Fossil Plant Cycles. EPRI TR 108460.
EVAPCO. (2002). White Rust. Engineering Bulletin.
Hem, J. D. (1985). Study and interpretation of the chemical characteristics of natural waters (3 ed.). Reston, VA: Department of the Interior, U.S. Geological Survey.
Hutson, S. S., Barber, N. L., Kenny, J. F., Linsey, K. S., Lumia, D. S., & Maupin, M. A. (2004). Estimated use of water in the United States in 2000. Reston: U.S. Geological Survey.
Johnson, K. M., & Michelic. (1991). Update on White Rust Corrosion and Control. Technical Paper, Cooling Tower Institute, Houston, TX.
Jonas, O., & Mancini, M. (1998). Chemical Data for Steam Generating Cycles. Journal of Solution Chemistry , 17 (8).
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Mavis, J. (2003, July). Water Use in Industries of the Future: Mining Industry. (U.S. Department of Energy - Office of Energy Efficiency and Renewable Energy) Retrieved June 2009, from http://www1.eere.energy.gov/industry/mining/pdfs/water_use_mining.pdf
Minnesota Department of Natural Resources. (2009). Climate's impact onf water availability. Retrieved June 11, 2009, from http://www.dnr.state.mn.us/climate/water_availability.html
Minnesota Department of Natural Resources. (2007). Water Year Data Summary 2005-2006. Retrieved 2009, from MN DNR Water Uses: http://files.dnr.state.mn.us/publications/waters/water_year_2005-2006_chapter_four.pdf
Univ. of Minnesota – Surface Water Quality Investigation 118
Minnesota Department of Natural Resources. (2009). Water Year Data Summary: 2007-2008. Retrieved 2009, from http://files.dnr.state.mn.us/publications/waters/water_year_2007-2008_chapter_four.pdf
Minnesota Pollution Control Agency. (2009). Chapter 7050 - Water Quality Standards for Protection of Waters of the State. Retrieved 2009, from Minnesota Administrative Rules: https://www.revisor.leg.state.mn.us/rules/?id=7050
Morse, R. W., & Knudsen, J. G. (1977). Effects of Alkalinity on the Scaling of Simulated Cooling Tower Water. Canadian Journal of Chemical Engineering (55), 272-278.
Moyle, J. B. (1956). Relationships between the Chemistry of Minnesota Surface Waters and Wildlife Management. The Journal of Wildlife Management , 20 (3), 303-320.
Reggiani, G. (2002). White Rust: An Industry update and guide paper . Association of Water Technologies.
Renzetti, S. (2005). Vol 1 Economics of Industrial Water Demands. In J. H. Lehr, & J. Keeley, Water Encyclopedia Volumes 1-5. John Wiley & Sons.
Ritchie, I. (2005). Water Encyclopedia: Vol 1: Domestic, Municipal and Industrial water supply and disposal- Magnetic Conditioning. In J. H. Lehr, & J. Keeley, Water Encyclopedia Volumes: 1-5 (p. 534). John Wiley & Sons.
Robinson, J. (1998). Water, Industrial Water Treatment. In R. E. Kirk, D. F. Othmer, J. I. Kroschwitz, & M. Howe-Grant, Encyclopedia of Chemical Technology (4 ed., Vol. 27). Wiley-Interscience.
Salvato, J. A. (1992). Water Supply. Guidelines for Drinking-Water Quality. In Environmental Engineering and Sanitation (4 ed., Vol. 2, p. 270). Hoboken, NJ: Wiley.
Snow, D. A. (2002). Industrial Boilers. In Plant Engineer's Reference Book (2 ed.). Butterworth-Heinemann.
SPX Technologies. (1998). Technical Report: White Rust and Galvanized Cooling Towers. SPX Technologies.
Tan, Y. L., Manan, Z. A., & Foo, D. C. (2007). Retrofit of Water Network with Regeneration Using Water Pinch Analysis. Process Saftey and Environmental Protection , 85 (4), 305-317.
Torcellini, P., Long, N., & Judkoff, R. (2003, December). Consumptive Water Use for U.S. Power production. (N. R. Laboratory, Producer, & U.S. Department of Energy Laboratory) Retrieved 2009, from Technical Report: http://www.nrel.gov/docs/fy04osti/33905.pdf
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Turcotte, W. A. (1986). Water Requirements: Quantity, Quality and Effect of Recycling. In Design and Installation of Concentration and Dewatering Circuits.
U.S. Army Center for Public Works. (1998). Industrial Treatment Procedures. Public Works Technical Bulletin.
USGS. (2008, July 30). Calculating Flow Duration and Low Flow Frequency: Statistics at Streamflow Gaging Stations. Retrieved April 26, 2010, from Scientific Investigations Report 2008-5126: http://pubs.usgs.gov/sir/2008/5126/section3.html
USGS. (2009). Water Quality Information: Water Hardness and Alkalinity. Retrieved May 12, 2009, from http://water.usgs.gov/owq/hardness-alkalinity.html
Veil, J. A., Kupar, J. M., & Puder, M. G. (2003, June). Use of Mine Pool Water for Pool Water for Poer Plant Cooling. (A. N. Laboratory, Producer) Retrieved 2009, from U.S. Department of Energy - National Energy Technology Laboratory : http://www.netl.doe.gov/technologies/coalpower/ewr/pubs/mine%20pool%20report%20FINAL_1.pdf
Wurts, W. A. (1993). Understanding Water Hardness. World Aquaculture , 24 (1), 18.
Univ. of Minnesota – Surface Water Quality Investigation 120
Additional Tables
Table 14. Monitoring data average mean, minimum, maximum, median values for chloride and hardness based upon hydrologic unit code (HUC-4).
Chloride concentration (mg/L)
(excluding 0 year)
Avg Mean Avg Min Avg Max
Avg
Median
Years of
Monitoring
Data
0401 6.94 2.37 32.43 5.66 0-43
0402 1.68 0.31 4 1.66 0-7
0701 28.23 9.03 90.5 24.31 0-45
0702 52.87 17.89 149.46 38.88 0-22
0703 9.27 7.07 22.4 8.54 0-27
0704 24.77 13.6 43.55 24.32 0-41
0706 10.52 6.38 16.59 10.29 0-16
0708 40.73 22.28 79.57 34.76 0-25
0710 103.69 93.57 139.64 101.82 0-17
0902 32.46 5.58 177.68 23.01 0-42
0903 6.41 5.12 13.61 6.07 0-41
1017 78.53 25.11 199.85 73.71 0-30
1023 26.76 10.92 60.55 23.9 0-13
Hardness concentration (mg/L)
(excluding 0 year)
Univ. of Minnesota – Surface Water Quality Investigation 121
avg Mean avg Min avg Max
avg
Median
Years of
Monitoring
Data
0401 67.08 33.49 134.96 65.98 0-29
0402 45.28 20.58 75.65 43.44 0-20
0701 234.41 131.76 441.88 232.81 0-24
0702 467.03 296.55 709.21 459.67 0-31
0703 130.03 62.63 188.59 129.2 0-24
0704 197.23 152.36 229.52 197.07 0-32
0706 226.08 131.55 305.03 228.1 0-23
0708 294.18 206.99 377.31 296.11 0-29
0710 463.11 315.29 708.53 458.81 0-25
0902 261.71 145.05 453.77 252.14 0-24
0903 69.48 43.54 119.18 68.73 0-24
1017 387.86 183.07 680.48 390.61 0-30
1023 384.34 216.45 581.99 383.12 0-22
Table 15. Typical Water Influent Requirement for Boilers at Power Generating Facilities Source: (Veil, Kupar and Puder 2003)
Total Suspended Solids < 25 ppb
Dissolved Oxygen 10-20 ppb
pH 8-10 ppb
Phosphate 1-5 ppb
Specific Conductivity
15-30
mmho
Univ. of Minnesota – Surface Water Quality Investigation 122
Free Hydroxide 0 ppm
Silica (dependent on pressure) < 9 ppm
Chlorides (dependent on pressure) < 4 ppm
Sulfates (dependent on pressure) < 4 ppm
Table 16. Recommended water characteristics for shell boilers. (Source: Snow 2002)
For pressures up to 25 bar[a] Total
hardness in feedwater, mg/1 in terms of
CaCO3 max.
2 20 40
Feedwater pH value "7.5-9.5" "7.5-9.5" "7.5-9.5"
Oxygen [b] [b] [b]
Total solids, alkalinity, silica [b] [b] [b]
Organic matter [b] [b] [b]
Boiler water
Total hardness, mg/1 in terms of CaCO3
max.
ND ND ND
Sodium phosphate, mg/1 as Na3PO4[c] "50-100" "50-100" "50-100"
Caustic alkalinity, mg/1 in terms of
CaCO3 min.
350 300 200
Total alkalinity, mg/1 in terms of CaCO3
max.
1200 700 700
Silica, mg/1 as SiO2 max. Less than 0.4 of the caustic alkalinity
Sodium sulphite, mg/1 as Na2SO3 "30-70" "30-70" "30-70"
Or
Hydrazine, mg/1 as N2H4 "0.1-1.0" "0.1-1.0" "0.1-1.0"
Univ. of Minnesota – Surface Water Quality Investigation 123
Suspended solids, mg/1max. 50 200 300
Dissolved solids, mg/1 max. 3500 3000 2000
ND: Not detectable. [a]1 bar=105Nm2 = 100 kPa = 14.5 lb/in2.
[b]Numerical values depend upon circumstances but the comments are relevant.
[c]Phosphate is usually added as sodium phosphate but determined as phosphate
(PO34); Na3PO4 = 1.73 × PO3
4.
Note from text: “Based on Table 2 of BS 2486:1978, by permission of BSI.”
Table 17. Utility Boiler Feedwater Guidelines
Feedwater Parameter Volatile-Treatment (Hydrazine/Ammonia) Mixed Metallurgy
Volatile-Treatment (Hydrazine/Ammonia) All Ferrous Systems Oxygenated Treatment
pH 8.8 – 9.1 9.2 – 9.6 8.0 – 8.5Cation Conductivity <0.2 <0.2 <0.15Iron (ppb) <10 <5 <5Copper (ppb) <2 "-" "-"Dissolved Oxygen (ppb) <5 "1 - 10" "30 - 150"
Utility Boiler Feedwater Guidelines.
Source: Electric Power Research Institute
Source: Buecker, B. 1997. Power Plant Water Chemistry: A Practical Guide. PennWell Publishing Company. (Originally Table 2-6)
Univ. of Minnesota – Surface Water Quality Investigation 124
Table 18. Makeup Water Sources
Source: EPRI 2004 Closed Cooling Water Chemistry Guideline
Conductivity High conductivity can be an indication of a corrosive environment
Alkalinity
Waters with no alkalinity can depress the pH of the system. In
almost all cases, the lowering of pH will increase the potential for
general corrosion in the system. The counterpoint to this is that the
addition of makeup water containing alkalinity might decrease
general carbon steel corrosion; however, alkalinity, calcium
hardness, and pH should be evaluated for scaling potential under
the actual CCW system chemistry and conditions. This relates to
calcium carbonate scaling.
Calcium Hardness
The system should be evaluated for potential hardness scales
(other than calcium carbonate scales). Such scales include, but are
not limited to, calcium phosphate, calcium phosphonate, calcium
molybdate, and calcium fluoride.
Chloride, Fluoride,
Sulfate Chloride, fluoride, and sulfate can contribute to corrosion.
Manganese, Iron,
Copper
Manganese, iron, and/or copper can cause corrosion and/or
deposition problems.
Residual Chlorine
and Other Oxidants
Makeup water with residual chlorine (or other oxidants) can be
corrosive to system materials and degrade chemical additives.
Ammonia Ammonia can be aggressive to copper alloys.
Total Organic Carbon
(TOC) Total organic carbon can contribute to microbiological growth
Suspended Solids Suspended solids can lead to deposition.
Univ. of Minnesota – Surface Water Quality Investigation 125
Appendix A. Industrial Uses
As discussed previously, obtaining numeric values of raw water for specific industries in
the State of Minnesota was not found. Therefore this report will provide a brief overview
of how water is used in the mining, pulp and paper, electric power generation and
cooling.
Mining
The use of water related to mining or rock processing accounts for an excess of 175,000
Million gallons of water (Minnesota Department of Natural Resources 2007). The
document Mavis (2003) is used to further define water usage in this sector. Here Mavis
(2003) classifies mining as: Hard rock, Sand and Gravel, Industrial (soft rock) minerals,
and coal.
Hard Rock, Sand and Gravel
Hard rock is described to use water purely for functioning of the “min-mill complex” that
is, water is needed to further processing of materials such as for drilling, crushing, wet
screening, semi-autogenous grinding, and milling or for dust suppression. In comparison
sand and gravel operations use “loose material” thus production requires many more
cycles of screening, crushing, milling, settling and dewatering, and therefore a much
larger quantity of water is needed. Examples of typical sand and gravel facility water use
are (Arizona Department of Natural Resources 2000): to produce ready-mix concrete,
bricks, blocks and asphalitic concrete, to control dust, to wash the outside of vehicles, to
wash the inside of mixer drums, to wash other equipment, to cool equipment, to cool
material, and for domestic purposes. Figure 3 illustrates water uses for sand and gravel
operations.
Univ. of Minnesota – Surface Water Quality Investigation 126
Figure 5. Diagram of water flow in a typical sand and gravel facility
Pulp and paper
Paper is produced by using wood fibers, shearing and compression to separate fibers
forming a sheet, followed by dewatering and drying. Recycled paper products primarily
use mechanical treatments of pulped material to form sheets. In a study by Tan et al
(2007) water use and operating costs were investigated for a paper and pulp mill. For a
mill processing old newspapers and magazines, raw water was treated for total
suspended solids at $0.043 per m-3, to treat suspended and dissolved solids. Using
freshwater, raw paper is pulped and blended (treated with chemicals and dilution
water), to form a slurry. The remaining operation uses freshwater and recycled water for
Univ. of Minnesota – Surface Water Quality Investigation 127
processing, and forming uses, such as removal of debris, general dilution, and for
dilution of deinking chemicals. Tan et al (2007) states “TSS was the most dominant
water quality parameter and was selected as the main contaminant upon discussion with
the plant authority”. Figure 4 depicts water usage for the various processing stages
(derived from (Tan et al 2007)).
Figure 6. Sample Water Network (Tan 2007) Processes include (1) pressing section, (2) forming section, (3) DIP (de-inking pulper), (4) others, (5, 6) white water tank, (10) CP (chemical preparation section), (12) AF (approach flow system)
Electric power generation and cooling
A National Renewable Energy Laboratory (NREL) report (Torcellini et al 2003) details
cooling for electric power generating facilities. Thermoelectric power plants use water in
a variety of ways, from steam generation to cooling. Water is used for heating (using
boilers), and for removal of heat (using condensers). Raw water is treated to meet a
range of process requirements as depicted in Figure 5. Hydroelectric operations rely on
the potential energy of stored water in reservoirs, whereas thermoelectric plants
withdraw water, evaporate and condense the water for efficient processing and
Univ. of Minnesota – Surface Water Quality Investigation 128
pumping. The cooling types most typically used are once-through cooling and closed
loop cooling. Once through cooling uses raw water to condense steam. Water is passed
through a condenser, and returned to a surficial waterway. A closed looped system uses
a similar process to once through cooling, however water is circulated through a cooling
tower for further cycling and reuse. Cooling water is further cooled by evaporation, thus
additional surficial water is introduced into the system to account for evaporated (loss)
water. Figure 6 depicts typical processes required for cooling related to a thermoelectric
generation plant (Torcellini et al 2003).
Figure 7. Water requirements for a thermoelectric power plant
Univ. of Minnesota – Surface Water Quality Investigation 129
Closed Loop Cooling Once through Cooling
Figure 8. Once through Cooling, and Closed Loop Cooling diagrams related to thermoelectric generation plants (Torcellini et al 2003).
Univ. of Minnesota – Surface Water Quality Investigation 130
Appendix B: Water Quality Parameters
Hardness
A primary concern in industrial processing is hardness in water. Hardness is considered a
mixture of divalent salts (Binnie et al 2002) Wurts 1993). The term “Hardness” is
slightly ambiguous, as it does not specifically indicate which divalent salt it is the sum of.
Typically, hardness is expressed in units of calcium carbonate (CaCO3) in mg/L (Hem
1985). Hardness can also indicate calcium and magnesium carbonates and bicarbonates
(carbonate which can be temporarily removed by heating) and calcium sulfate, calcium
chloride, magnesium sulfate and magnesium chloride (noncarbonated or permanent
which cannot be removed by heating). Calcareous substrate such as limestone, calcium
sulfate or other calcium carbonate substances contribute the calcium ion, whereas
dolomite primarily contributes the magnesium ion (Hem 1985).
Hard water can have detrimental effects on industrial boilers, heat transfer equipment
and cooling towers. Scaling (or fouling) is generally considered the negative impact of
hardness upon industrial equipment. Fouling is caused by crystalline deposits, biological
growth, and deposition of suspended solids (Ritchie 2005, (Morse and Knudsen 1977).
Scaling generally occurs as a byproduct of the heating and evaporation of hard water,
therefore leaving a deposit of minerals (Ritchie 2005). Scaling develops due to the
“inverse solubility” of some divalent salts (Morse and Knudsen 1977). Whereas solubility
decreases as temperature increases, thus divalent salts such as bicarbonate are
converted to carbonate and deposited as calcium or magnesium carbonate along heating
tubes and exchangers (Morse and Knudsen 1977, Binnie et al 2002). Deposition of
carbonate (associated to calcium and magnesium) is considered “temporary hardness”.
When calcium or magnesium is associated to anions such as chloride or sulfate, a
“permanent hardness” develops. Permanent hardness is attributed to increased solubility
as temperatures increase. Binnie et al (2002) notes the common cause for non-
Univ. of Minnesota – Surface Water Quality Investigation 131
carbonate hardness (permanent hardness) is associated to water which has passed
through clay soils containing sulfates. A common practice to remove permanent
hardness is through the use of ion exchange technology or by water softening. Water
softening is the most common form of carbonate hardness removal. Water softening
involves the precipitation and removal of divalent metal ions (calcium and magnesium)
from the water (Binnie et al 2002). Ion exchange, or the replacement of divalent ions
(calcium or magnesium) by sodium ions is also used. Binnie et al (2002) notes, ion
exchange is most typically used where non-carbonate hardness exists, or where
hardness continually varies. Other techniques such as reverse osmosis (RO) and
electrodialysis are available for this process (Ahmad 2006). Treatment technologies can
help to stabilize hardness concentrations of feedwater, such that industrial users can
structure boiler water chemistries around relative hardness, Table 19 references The
British Standard Institution (BS 2486 – 1978) standard for drum boilers based upon
hardness (Snow 2002).
Table 19.Recommended water characteristics for shell boilers. (From the Snow, D. Plant Engineer’s Handbook 2002
For pressures up to 25 bar[a] Total
hardness in feedwater, mg/1 in terms of
CaCO3 max.
2 20 40
Feedwater pH value "7.5-9.5" "7.5-9.5" "7.5-9.5"
Oxygen [b] [b] [b]
Total solids, alkalinity, silica [b] [b] [b]
Organic matter [b] [b] [b]
Boiler water
Total hardness, mg/1 in terms of CaCO3 ND ND ND
Univ. of Minnesota – Surface Water Quality Investigation 132
max.
Sodium phosphate, mg/1 as Na3PO4[c] "50-100" "50-100" "50-100"
Caustic alkalinity, mg/1 in terms of
CaCO3 min.
350 300 200
Total alkalinity, mg/1 in terms of CaCO3
max.
1200 700 700
Silica, mg/1 as SiO2 max. Less than 0.4 of the caustic alkalinity
Sodium sulphite, mg/1 as Na2SO3 "30-70" "30-70" "30-70"
or
Hydrazine, mg/1 as N2H4 "0.1-1.0" "0.1-1.0" "0.1-1.0"
Suspended solids, mg/1max. 50 200 300
Dissolved solids, mg/1 max. 3500 3000 2000
ND: Not detectable. [a]1 bar=105Nm2 = 100 kPa = 14.5 lb/in2.
[b]bNumerical values depend upon circumstances but the comments are relevant.
[c]Phosphate is usually added as sodium phosphate but determined as phosphate
(PO34); Na3PO4 = 1.73 × PO3
4.
Note from text: “Based on Table 2 of BS 2486:1978, by permission of BSI.”
Univ. of Minnesota – Surface Water Quality Investigation 133
Cooling Water
Cooling water is used in the industrial process as a mechanism of heat exchange. Apart
from industries that use cooling water to cool products, cooling water is also used to
exchange heat through a cooled condenser, reducing steam pressure of the system and
increasing efficiency (Ritchie 2005). Cooling water systems are prone to a series of
unfavorable processes, particularly corrosion, fouling and microbiological growth. If
affected by corrosion, a cooling water system is prone to failure of equipment and
decreased heat transfer efficiency. Commonly this problem is referred to as “white rust”.
White rust is defined as “the accumulation of appreciable volumes of a soft, white, fluffy,
non-protective zinc corrosion product on galvanized surfaces. Typically, white rust
appears suddenly and progresses rapidly over the wetted, galvanized steel components
in the cooling tower, condenser, or cooler.” (Johnson and Michelic 1991, SPX
Technologies 1998). Table 20 indicates typical cooling water chemistries. Corrosion and
scale can greatly affect the cooling system life, and subsequent maximum cycles. In
most cases the quality of the makeup water may need softening to increase cycle
potential. Softening of hardwater is a process which will reduce scaling potential, but
could adversely affect the system by causing corrosion (Buecker 1997). If the makeup
water cannot be altered by softening, cycles must be kept low to inhibit scale forming or
highly ionic circumstances (Buecker 1997).
Closed cooling water (CCW) designs are used for a myriad of processes, consisting of an
enclosed system, pressurized above atmospheric in which evaporation or exposure to
the atmosphere is negligible (EPRI 2004). CCW’s are engineered to operate in a
consistent manner for long periods of time with minimum attention (Ritchie 2005). CCW
systems are composed of varied materials based upon use, using treated water to avoid
corrosion, thermal load and velocity capabilities. Figure 7 illustrates a closed loop cooling
tower, demonstrating the complexity, and many forms of the systems’ use of water.
Univ. of Minnesota – Surface Water Quality Investigation 134
Table 20. Cooling water recommended Water Chemistries
Adapted from:Association of Water Technologies 2002. White Rust: An Industry Update and Guide Paper
Parameter BAC 1 Evapco2 Marley3 MN Class 3C
pH for Initial Service 6.5-8.0 6.5-8.0 6.5-8.0 6.0-9.0
pH for Routine Service No guide Found 6.5-9.0 No guide found
Hardness (as CaCO3) >30 ppm 100-300 ppm 100-300 ppm 500 mg/L
Alkalinity (as CaCO3)No guide Found 100-300 ppm 100-300 ppm
Chlorides (as Cl) No guide Found <250 ppm <250 ppm 250 mg/L
Sulfates (as SO4)No guide Found <250 ppm <250 ppm
Sources:1. Baltimore Aircoil Company 1992. W hite Rust on Galvanized Steel Cooling Towers
2. EVAPCO 2002. White Rust. Engineering Bulletin No. 036
3. Marley Cooling Tower Company 1992. W hite Rust and W ater Treatment. Manual 92-1184A
Cooling tower manufacturers - Recommended W ater Chemistries
Univ. of Minnesota – Surface Water Quality Investigation 135
Figure 9. “As water is removed from the system by evaporation the concentration of the dissolved solids increases, there it is necessary to discard some of the recirculating water, usually back to its source, replacing it with “makeup” water from the source. The deliberate discharge of water is usually refered to as “blowdown” (Ritchie 2005
Chloride
Chloride concentrations can greatly contribute to corrosion. Corrosion such as pitting,
and stress cracking corrosion, transangular corrosion, have been shown to occur with
high chloride concentrations (Robinson 1998). Stress cracking corrosion is particularly
found with stainless steel as a function of high chloride concentrations, the presence of
oxygen, and high tensile metal stress (Ritchie 2005). Pitting corrosion occurs as a
function of slow water flow, leading to an aggregation of chloride ions in crevices and
cracks. Reverse Osmosis is a method using pressures and membranes often used to
purify concentrated contaminants such as brine, with removal of 95% of dissolved salts
(Robinson 1998).
Univ. of Minnesota – Surface Water Quality Investigation 136
Corrosion
Corrosion is considered a “uniform loss of the metal surface caused by a chemical or
electrochemical reaction” (EPRI 2006). Corrosion is an important process to consider
when outlining raw water chemistries. Corrosion can have costly effects on industrial
users, causing: plant shutdowns, loss of products (leaking containers, storage tanks,
etc), loss of efficiency (corroded heat exchangers, and pipelines can reduce heat
transfer), contamination, hazards (Ahmed 2006). Corrosion occurs as a result of an
anode and a cathode, a metallic connector, and an electrolyte (such as water) (Robinson
1998). Water carries oxidized metallic ions from the anode, to the cathode where
reduction takes place (Figure 8). Corrosion is characterized in many forms, such as:
galvanic, crevice, pitting, interangular stress and flow accelerated. Corrosion can occur in
crevices as a result of: chloride concentrations, caustic or acidic conditions, oxygen
concentration, or low fluid velocities,. The formation of anodic and cathodic sites are
varied occurring due to: sensitivity of particular metal or alloy, surface impurities, stress,
differences in localized temperature or water chemistry (whereas increasing
temperature, increases the rate of reaction (Ahmad 2006, Robinson 1998)
.
Figure 10. Typical corrosion mechanics (Ahmad 2006)
It is difficult to describe water chemistries for boilers or cooling systems in explicit detail,
as many of the intricacies of industrial design could vary depending upon the industrial
facility and process. For example, concerning corrosion, feedwater piping and heat
Univ. of Minnesota – Surface Water Quality Investigation 137
exchanger tubes composed of steel metallurgy are recommended to have a pH of 9.0 –
9.6, whereas a mixed metallurgy of iron and copper is recommended to have a pH of 8.8
– 9.1 (Snow 2002). Primary components of the industrial facility should be taken into
consideration by the plant chemist prior to operating with untreated water to minimize
corrosion. To further point to the intricacies of plant metallurgies, Figure 9 is given to
illustrate galvanic corrosion, demonstrating the corrosive potential for various metals
(EPRI 2006). Figure 8, a Mollier diagram, illustrates steam cycle components, indicating
where potential impurities will promote corrosion (EPRI 1998).
Univ. of Minnesota – Surface Water Quality Investigation 138
Figure 11. Potential corrosion for heater materials (Source: J.R. Crum and R.C. Scarberry, Development of Galvanic Series in Various Acid and Water Environments,. Inco Alloys. Printed in: EPRI 2006 Feedwater Heater Maintenance Guide)
Univ. of Minnesota – Surface Water Quality Investigation 139
Figure 12. Mollier Diagram for a Fossil Cycle. (Source: EPRI 1998)
Univ. of Minnesota – Surface Water Quality Investigation 140
Water Softeners
The softening process consists of an insoluble synthetic resin media, designed to
exchange ions from the water with ions of the same charge from the resin. Typically the
resin is composed of sodium chloride which exchanges sodium for the divalent (calcium
or magnesium) ions (Binnie et al 2002, Ritchie 2005). Eventually the resin will become
saturated with the divalent ions (calcium or magnesium), the resin is then “regenerated”
by flushing the media with additional sodium ions to displace the divalent ions from the
resin media (Binnie et al 2002). This consequently creates a highly concentrated chloride
(brine) backwash. The brine backwash is then discharged to the wastewater treatment
system (EPA 2004)
Water softening discharge and the regulation of chloride has become a source of debate
across the nation. This is because dischargers are not meeting State requirements for
sodium chloride drinking levels. One State, Michigan, is working with waste water
treatment plants and local homeowners to find an appropriate and economic way to
reduce chloride concentrations. However pitfalls such as waste water treatment plants
located in areas with high hardness and soils which are not capable of quick dilution
have become evident. Other states such as Iowa are working with the EPA to create
regulatory standards which encapsulate toxicological effects on resident aquatic life. The
EPA has released a special issues fact sheet (EPA 2004) detailing onsite wastewater
treatment systems. Based upon studies conducted by the University of Wisconsin,
wastewater effluent generated by onsite systems at volumes approximately 50 gallons
per recharge cycle, on a soil field capable of dilution, were not shown to have adversely
affected by discharged brine. Indicating for home water softening sites, prediction of
potential impact of brine effluent, is dependent upon composition and structure of the
infiltration field and soil type. Often predications are difficult to estimate and “often
inconclusive”. It is fair to emphasize this study was conducted for home use, although
the aggregation of home water softening users has potential to occur as a future water
Univ. of Minnesota – Surface Water Quality Investigation 141
quality issue, it may not apply to industrial users. At this time this report is not aware of
a larger scale analysis of industrial effluent similar to this one for a comparison.
Univ. of Minnesota – Surface Water Quality Investigation 142
Appendix C: Review of Neighboring States Industrial classifications: North Dakota, South Dakota, Nebraska, Iowa, Illinois, Wisconsin
Introduction
This appendix is a review of state industrial water quality regulations for neighboring
states to Minnesota. States investigated are: North Dakota, South Dakota, Nebraska,
Iowa, Illinois, and Wisconsin.
The purpose of this review is to relate the standards and specific language associated to
industrial uses of individual state water quality documents. Thus this review is a direct
interpretation of each state’s water quality regulations. All descriptions are copied
directly from the source, additionally sources are given for location of terms. The
reasoning for a direct comparison is to convey language without a loss of content due to
paraphrasing or summarization. Thus, pertinent definitions associated to industrial
supply, water classification, and standards are given. Additionally if a state document
gave details on site specific scenarios, the examples are given.
Water quality parameters related to the current Minnesota, Class III Industrial use, were
used for comparisons. Parameters not related to Chloride, Hardness and pH may not be
described for individual states. Also, in many cases multiple water quality
“classifications” are given that may not specifically pertain to industrial uses. This is due
to the thought that some streams may exist under low flow conditions, classified for
aquatic uses but may also receive industrial effluents. Thus inclusion of all classifications
may be necessary to cover all of the bases, ensuring a fair comparison.
Univ. of Minnesota – Surface Water Quality Investigation 143
Summary of findings
Parameter
Minnesota North
Dakota
South
Dakota Nebraska Iowa Illinois Wisconsin
Chloride
(mg/L)
50 250 250* 250
389
chronic*
629
acute*
500 393 chronic*
757acute*
100 100* 250**
250
Maintain
Background
Hardness
(mg/L) 50
250
500
pH 6.5-8.5
6-9 6-9 6.5 - 9 6.5 - 9 6.5 - 9 6.5 - 9 6 - 9
6-9
Note (South Dakota):
* Drinking water
Univ. of Minnesota – Surface Water Quality Investigation 144
** Cold water permanent
Note (Iowa) *Applies to B(CW1), B(CW2), B(WW1), B(WW2), B(WW3), B(LW) **C - 250 mg/L MCL
MCL*maximum contaminant level
Note (Wisconsin) *
Applies to Cold, Warm
waters and Limited Forage
Fish/Limited Aquatic Life
Univ. of Minnesota – Surface Water Quality Investigation 145
Illinois
Date published:
Illinois Pollution Control Board. Title 35: Environmental Protection, Subtitle C. Water
Pollution. Chapter 1.PART 301, 302 (Retreived online, January 20, 2010:
http://www.epa.gov/waterscience/standards/wqslibrary/il/index.html)
Definition:
Section 301.285 Industrial Wastes
"Industrial Wastes" means any solid, liquid, or gaseous wastes resulting from any
process of industry, manufacturing, trade, or business or from the development,
processing, or recovery, except for agricultural crop raising, of any natural resource.
Section 301.345 Population Equivalent
"Population Equivalent" is a term used to evaluate the impact of industrial or other waste
on a treatment works or stream. One population equivalent is 100 gallons (380 l) of
sewage per day, containing 0.17 pounds (77 g) of BOD5 (five day biochemical oxygen
demand) and 0.20 pounds (91 g) of suspended solids. The impact on a treatment works
is evaluated as the equivalent of the highest of the three parameters. Impact on a
stream is the higher of the BOD5 and suspended solids parameters.
Section 301.350 Pretreatment Works
"Pretreatment Works" means a treatment works designed and intended for the
treatment of wastewater from an indirect discharge or industrial user as defined in 40
CFR 403, before introduction into a sewer system tributary to a publicly owned or
publicly regulated treatment works. (Source: Amended at 5 Ill. Reg. 6384, effective May
28, 1981.)
Univ. of Minnesota – Surface Water Quality Investigation 146
Section 301.365 Publicly Owned Treatment Works
Publicly Owned Treatment Works: A treatment works owned by a municipality, sanitary
district, county or state agency, and which treats domestic and industrial wastes
collected by a publicly owned or regulated sewer system. Industrial treatment works
which are publicly owned and financed by bond issues of public agencies are not
included in this definition. (Source: Amended in R88-1 at 13 Ill. Reg. 5984, effective April
18, 1989)
Section 301.370 Publicly Regulated Treatment Works
"Publicly Regulated Treatment Works" means those otherwise private companies which
are regulated as public utilities engaged in the disposal of domestic and industrial wastes
and regulated as such by the Illinois Commerce Commission, pursuant to "an Act
concerning public utilities" approved June 29, 1921, effective July 21, 1921, as
amended. (Ill. Rev. Stat. 1979, ch. 111 2/3, pars. 1 et seq.) (Source: Amended at 3 Ill.
Reg. no. 25, page 190, effective June 21, 1979.)
Section 302.100
"Hardness" means a water quality parameter or characteristic consisting of the sum of
calcium and magnesium concentrations expressed in terms of equivalent milligrams per
liter as calcium carbonate. Hardness is measured in accordance with methods specified
in 40 CFR 136,
incorporated by reference in 35 Ill. Adm. Code 301.106.
Classification:
Section 302.202
The General Use standards will protect the State's water for aquatic life (except as
provided in Section 302.213), wildlife, agricultural use, secondary contact use and most
Univ. of Minnesota – Surface Water Quality Investigation 147
industrial uses and ensure the aesthetic quality of the State's aquatic environment.
Primary contact uses are protected for all General Use waters whose physical
configuration permits such use.
Section 302.301
Subpart C contains the public and food processing water supply standards. These are
cumulative with the general use standards of Subpart B and must be met in all waters
designated in Part 303 at any point at which water is withdrawn for treatment and
distribution as a potable supply or for food processing. Waters of the State are generally
designated for public and food processing use (Section 303.202).
Section 302.402
Secondary contact and indigenous aquatic life standards are intended for those waters
not suited for general use activities but which will be appropriate for all secondary
contact uses and which will be capable of supporting an indigenous aquatic life limited
only by the physical configuration of the body of water, characteristics and origin of the
water and the presence of contaminants in amounts that do not exceed the water
quality standards listed in Subpart D.
Standard:
The State of Illinois currently has a general use standard of 1000 mg/l for TDS, a sulfate
standard of 500 mg/l, and a chloride standard of 500 mg/l for aquatic life protection.
SUBPART B: GENERAL USE WATER QUALITY STANDARDS Section 302.208 Numeric
Standards for Chemical Constituents (part g)
Univ. of Minnesota – Surface Water Quality Investigation 148
Section 302.204 pH
pH(STORET number 00400) shall be within the range of 6.5 to 9.0 except for natural
causes
Site Specific Scenario
Section 303.323 Sugar Creek and Its Unnamed Tributary
a) This Section applies only to Sugar Creek and its unnamed tributary from the point at
which Marathon Oil Company's outfall 001 discharges into the unnamed tributary to the
confluence of Sugar Creek and the Wabash River.
b) Section 304.105 shall not apply to total dissolved solids and chlorides discharged by
Marathon Oil Company's outfall 001, so long as both of the following conditions are met:
1) Effluent from Marathon Oil Company's outfall 001 does not exceed either 3,000 mg/L
total dissolved solids or 1,000 mg/L chlorides, and
Univ. of Minnesota – Surface Water Quality Investigation 149
2) The water in the unnamed tributary does not exceed 2,000 mg/L total dissolved
solids or 750 mg/L chlorides.
(Source: Amended at 18ILL.Reg.13457, effective Aug. 19, 1994)
Section 303.431 Long Point Slough and Its Unnamed Tributary
The general use water quality standards for total dissolved solids and for chloride
contained in Section 302.208 shall not apply to Long Point Slough and its unnamed
tributary, which receive discharges from the Illiopolis, Illinois facility of Borden Chemicals
and Plastics Operating Limited Partnership, from the outfall of that facility to the point of
the confluence of the unnamed tributary downstream with the Sangamon River. Instead
this water shall comply with a total dissolved solids standard of 3,000 mg/l and a
chloride standard of 900 mg/l.
(Source: Added at 14 Ill. Reg. 20724, effective December 18, 1990)
Univ. of Minnesota – Surface Water Quality Investigation 150
Iowa
Date published:
Iowa Department of Natural Resources. Chapter 61. Water Quality Standards. Water
Quality Standards. January 13, 2010.
(Retrieved online January 20, 2010:
http://www.iowadnr.gov/water/standards/files/chapter61.pdf)
Background:
The Iowa state water quality regulations have been in serious revision . The latest water
quality rules were put forth on January 13, 2010. For a detailed description of the
process behind the shift in Iowa’s water quality regulations pertaining to Chloride, Total
Dissolved Solids and Sulfate can be found on the Iowa Department of Natural Resources
water web page. Titled, “Understanding Iowa’s Water Quality Standards:: Revising
Criteria for Chloride, Sulfate and Total Dissolved Solids”, the fact sheet can be found at:
http://www.iowadnr.gov/water/standards/files/ws_fact.pdf
The results of the 2008 Ambient water monitoring determined “chloride toxicity is
heavily dependent on water hardness” (Fact sheet: Understanding Iowa’s Water Quality
Standards: Revising Criteria for Chloride, Sulfate and Total Dissolved Solids). Background
levels for Hardness, Sulfate, and Chloride were determined. An equation was developed
for use site specifically. An example of the equation incorporating the background levels
is shown below.
Background levels (This is also the statewide default data, if site specific data is not
used):
Hardness: 200 mg/L as CaCO3
Sulfate: 63 mg/L
Univ. of Minnesota – Surface Water Quality Investigation 151
Chloride: 34 mg/L
Calculations based upon Hardness value of 200 mg/L and a Sulfate value of 63 mg/L:
The acute criteria value for chloride would be:
287.8(200 mg/L)0.205797(63 mg/L)-0.07452 = 629 mg/L Chloride
The chronic criteria value for chloride would be:
177.87(200 mg/L)0.205797(63 mg/L)-0.07452 = 389 mg/L Chloride
Source: Fact Sheet - Understanding Iowa’s Water Quality Standards:: Revising Criteria
for Chloride, Sulfate and Total Dissolved Solids
Classification:
61.3(1) Surface water classification. All waters of the state are classified for protection
of beneficial uses. These classified waters include general use segments and designated
use segments.
a. General use segments. These are intermittent watercourses and those watercourses
which typically flow only for short periods of time following precipitation and whose
channels are normally above the water table. These waters do not support a viable
aquatic community during low flow and do not maintain pooled conditions during periods
of no flow.
The general use segments are to be protected for livestock and wildlife watering, aquatic
life, noncontact recreation, crop irrigation, and industrial, agricultural, domestic and
other incidental water withdrawal uses.
Univ. of Minnesota – Surface Water Quality Investigation 152
b. Designated use segments.
*Note:….. purposely exluded Class A1, A2, A3 – recreational use classifications
(4) Cold water aquatic life—Type 1 (Class “B(CW1)”). Waters in which the temperature
and flow are suitable for the maintenance of a variety of cold water species, including
reproducing and nonreproducing populations of trout (Salmonidae family) and
associated aquatic communities.
(5) Cold water aquatic life—Type 2 (Class “B(CW2)”). Waters that include small,
channeled streams, headwaters, and spring runs that possess natural cold water
attributes of temperature and flow. These waters usually do not support consistent
populations of trout (Salmonidae family), but may support associated vertebrate and
invertebrate organisms.
(6) Warm water—Type 1 (Class “B(WW-1)”). Waters in which temperature, flow and
other habitat characteristics are suitable to maintain warm water game fish populations
along with a resident aquatic community that includes a variety of native nongame fish
and invertebrate species. These waters generally include border rivers, large interior
rivers, and the lower segments of medium-size tributary streams.
(7) Warm water—Type 2 (Class “B(WW-2)”). Waters in which flow or other physical
characteristics are capable of supporting a resident aquatic community that includes a
variety of native nongame fish and invertebrate species. The flow and other physical
characteristics limit the maintenance of warm water game fish populations. These waters
generally consist of small perennially flowing streams.
(8) Warm water—Type 3 (Class “B(WW-3)”). Waters in which flow persists during
periods when antecedent soil moisture and groundwater discharge levels are adequate;
however, aquatic habitat typically consists of nonflowing pools during dry periods of the
Univ. of Minnesota – Surface Water Quality Investigation 153
year. These waters generally include small streams of marginally perennial aquatic
habitat status. Such waters support a limited variety of native fish and invertebrate
species that are adapted to survive in relatively harsh aquatic conditions.
(9) Lakes and wetlands (Class “B(LW)”). These are artificial and natural impoundments
with hydraulic retention times and other physical and chemical characteristics suitable to
maintain a balanced community normally associated with lake-like conditions.
(10) Human health (Class “HH”). Waters in which fish are routinely harvested for human
consumption or waters both designated as a drinking water supply and in which fish are
routinely harvested for human consumption.
(11) Drinking water supply (Class “C”). Waters which are used as a raw water source of
potable water supply.
Standard:
61.3(3) Specific water quality criteria.
Table 1 (pg 13)
Site Specific Scenario
Univ. of Minnesota – Surface Water Quality Investigation 154
61.2(5), pg 6
c. Site-specific water quality criteria may be allowed in lieu of the specific numerical
criteria listed in Tables 1 and 3 of this chapter if adequate documentation is provided to
show that the proposed criteria will protect all existing or potential uses of the surface
water. Site-specific water quality criteria may be appropriate where:
1) The types of organisms differ significantly from those used in setting the statewide
criteria; or
2) The chemical characteristics of the surface water such as pH, temperature, and
hardness differ significantly from the characteristics used in setting the statewide
criteria.
Additonal information
Industrial Pretreatment Program Effluent Limits
http://www.iowadnr.gov/water/pretreatment/elimits.html
Univ. of Minnesota – Surface Water Quality Investigation 155
Nebraska
Date published:
Nebraska Department of Environmental Quality. Title 117 Nebraska Surface Water
Quality Standards, December 31, 2002. (Retrieved online, January 20, 2010:
http://www.epa.gov/waterscience/standards/wqslibrary/ne/index.html)
Definition:
(Source: Chapter 1 – Definition of Terms)
“Beneficial Use” shall mean any productive use of surface waters for which water
quality is protected. Beneficial uses include but are not limited to agricultural, industrial,
and public water supplies; support and propagation of fish, and other aquatic life;
recreation in and on the water; and aesthetics. Waste assimilation, disposal, or transport
are not beneficial uses.
004.03 Industrial.
These are waters used for commercial or industrial purposes such as cooling water,
hydroelectric power generation, or nonfood processing water; with or without treatment.
Water quality criteria to protect this use will vary with the type of industry involved.
Where water quality criteria are necessary to protect this use, site-specific criteria will be
developed
054 “Refuse” shall mean putrescible and nonputrescible solid wastes, except body
wastes, and includes garbage, rubbish, ashes, incinerator ash, incinerator residue, street
cleanings and solid market and industrial wastes.
Univ. of Minnesota – Surface Water Quality Investigation 156
077 “Wastewater” shall mean water containing sewage, and/or industrial wastes,
including, but not limited to, discharges from sand and gravel operations, cooling water,
storm water, street and road runoff, return flow from irrigation, feedlot runoff, or wastes
resulting from land erosion and other discharges, treated or untreated, which enter
directly or indirectly into the waters of the State or to any storm sewer, and including
the runoff from land used for the disposition of wastes.
030 “Hardness” shall mean a characteristic of water which represents the total
concentration of polyvalent cations (e.g., calcium, magnesium) expressed as calcium
carbonate in mg/l. Hardness may be calculated for most waters by adding together the
values obtained from multiplying the concentrations of calcium by 2.497 and magnesium
by 4.116 to obtain the equivalent calcium carbonate concentration.
043 “Noncontact Cooling Water” shall mean water used to reduce temperature
which does not come into direct contact with any raw material, intermediate product,
waste product (other than heat), or finished product.
Classification:
001 (Source: Chapter 4 – Standards for Water Quality, pg 4-1)
The beneficial uses defined by these standards are:
Primary Contact Recreation
- Aquatic Life
- Coldwater (Class A and B)
- Warmwater (Class A and B)
Water Supply
- Public Drinking Water
- Agricultural
- Industrial
Univ. of Minnesota – Surface Water Quality Investigation 157
- Aesthetics
(Source: Chapter 2 – Application of Standards)
007 Narrative and numerical water quality criteria associated with aesthetics (Chapter 4,
005) and general criteria and acute toxicity criteria for protection of aquatic life (Chapter
4, 003) shall apply to all surface waters except as stated below in paragraphs 008, 010,
011, 012, and 013.
008 These standards, except water quality criteria associated with aesthetics (Chapter 4,
005), will not apply to effluents and non-contact cooling water discharges,
although these standards are used in deriving effluent limitations pursuant to Title 121 -
Effluent Guidelines and Standards.
009 These standards, except narrative and numerical water quality criteria associated
with aesthetics (Chapter 4, 005) and general criteria and acute toxicity criteria for
protection of aquatic life (Chapter 4, 003), will not apply to:
009.01 Streams assigned a Coldwater Class A, Coldwater Class B, or Warmwater Class A
Aquatic Life use during periods when the flow is less than 0.1 cfs or the 7-day 10-year
low flow, unless an assigned beneficial use still exists under these conditions. Thirty-day
average ammonia criteria will not apply to these streams during periods when the flow is
less than 0.1 cfs or the 30-day 5-year low flow unless an assigned beneficial use still
exists under these conditions.
009.02 Streams assigned the Warmwater Class B Aquatic Life use during periods when
the flow is less than 1.0 cfs, unless an assigned beneficial use still exists under this
condition.
Univ. of Minnesota – Surface Water Quality Investigation 158
009.03 Undesignated surface waters except as necessary to protect assigned
downstream beneficial uses. Acute criteria which are applicable to these surface waters
shall include those applicable for the Warmwater Class B Aquatic Life use.
009.04 Streams during periods when the instantaneous flow is totally composed of
effluent or non-contact cooling water discharges, excluding minor amounts of bank
seepage, unless an assigned beneficial use still exists under these conditions.
009.05 Streams during periods when the flow is greater than the 7-day 10 year high
flow, unless an assigned beneficial use still exists under these conditions. Thirty-day
average ammonia criteria will not apply to streams during periods when the flow is
greater than the 30-day 5 -year high flow unless an assigned beneficial use still exists
under these conditions.
Standard:
004.01B Numerical Criteria (Source: Chapter 4 – Standards for Water Quality)
Numerical criteria for the parameters listed below shall not be exceeded. Any
substance introduced directly or indirectly by human activity shall not be allowed
to enter surface water if one or more of the following numerical standards would
be exceeded. The numerical standards listed below are intended to protect
beneficial use of public drinking water supply. If the natural background level of
a parameter is greater than the numerical standard, this shall not in and of itself
prohibit the use of the surface water. If the natural background level of a
parameter is greater than the numerical standard listed below, the background
level shall be used in place of the numerical criteria.
Univ. of Minnesota – Surface Water Quality Investigation 159
004 Water Supply (Source: Chapter 4 – Standards for Water Quality)
.
Site Specific Scenarios
003.02B Site-Specific Water Quality (Source: Chapter 4 – Standards for Water
Quality)
003.02B5b Chloride.
Because these segments have high natural background concentrations of chloride and
aquatic life has adapted to these conditions, criteria shall be based on natural
background values.
Wetlands
004.01A General Criteria (Source: Chapter 7 – Water Quality Standards for Wetlands)
Water quality criteria are established to protect assigned beneficial uses. However,
traditional water quality parameters in wetlands such as pH, temperature, dissolved
oxygen, ammonia, chloride, and conductivity may naturally vary outside accepted
ranges for other surface waters. Water quality criteria for specific wetlands or wetland
complexes, except numerical criteria for toxic substances (paragraph 004.01C1),
Univ. of Minnesota – Surface Water Quality Investigation 160
petroleum oil (paragraph 004.01D), and residual chlorine (paragraph 004.01E), shall be
based on natural background values for traditional water quality parameters. However,
these criteria shall be no more stringent than those associated with the Class B
Warmwater Aquatic Life classification or the General Criteria for Aquatic Life of Chapter
4, Paragraphs 003.01A, 003.01B, 003.01G, and 003.04B.
Univ. of Minnesota – Surface Water Quality Investigation 161
North Dakota
North Dakota Department of Health. Standards of Quality for Waters of the State. March
2001. Chapter 33-l 6-02. (Retrieved online, January 20, 2010:
http://www.epa.gov/waterscience/standards/wqslibrary/nd/index.html)
Definition:
“Industrial water. Waters suitable for industrial purposes, including food processing,
after treatment. Treatment may include that necessary for prevention of boiler scale and
corrosion.” (Source: 33-16-02-04 Definitions, 10.d - pg 4)
“The department shall propose, and submit to the state engineer, the minimum stream
flows of major rivers in the state necessary to protect the public health and welfare. The
department’s determination shall address the present and prospective future use of the
rivers for public water supplies, propagation of fish and aquatic life and wildlife,
recreational purposes, and agricultural, industrial, and other legitimate uses.” (33-16-02-
08 General water quality standard, Narrative standards, 5.d, pg 6)
Classification
Class III streams. The quality of the waters in this class shall be suitable for agricultural
and industrial uses such as stock watering, irrigation, washing, and cooling. These
streams have low average flows and, generally, prolonged periods of no flow. They are
of limited seasonal value for immersion recreation, fish life, and aquatic biota. The
quality of these waters must be maintained to protect recreation, fish, and aquatic biota.
(Source: 33-20-02-09. Surface water classifications, mixing zones, and numeric
standards, Classifications, 1.d, pg 9)
Univ. of Minnesota – Surface Water Quality Investigation 162
Industrial waste effluents shall meet all parameters of quality as set forth under the
North Dakota Pollutant Discharge Elimination System and shall not violate North Dakota
water quality standards.
(Source: 33-l 6-02-l 1. Discharge of wastes, On-surface discharges, 4.d, pg 20)
Standard:
(Source: 33-20-02-09. Surface water classifications, mixing zones, and numeric
standards, Classification, 1.f, pg 9)
(Source: 33-20-02-09. Surface water classifications, mixing zones, and numeric
standards, Numeric Standards, 3(a,b,c,d), pg 9)
Univ. of Minnesota – Surface Water Quality Investigation 163
Univ. of Minnesota – Surface Water Quality Investigation 164
South Dakota
Date published:
South Dakota. Administrative Rules. Chapter 74:51:Surface Water Quality Standards.
January 27, 1999. (Retrieved online, January 20, 2010:
http://www.epa.gov/waterscience/standards/wqslibrary/sd/index.html)
Definition:
74:51:01:01. Defmitions.
(16) "Commerce and industry," a beneficial use assigned to surface waters of the
state which are suitable for use as cooling water, industrial process water, navigation,
and production of hydroelectric power;
(53) "Surface water of the state," lakes, ponds, streams, rivers, wetlands, and any
otherbody or accumulation of water on the land surface that is considered to be waters
of
the state, but not waste treatment systems, including treatment ponds, lagoons,
leachate
collection ponds, or stormwater retention ponds designed to meet the requirements of
the
CWA other than cooling ponds as defined in 40 C.F.R. § 423.1 l(m) (July 1, 1991);
Univ. of Minnesota – Surface Water Quality Investigation 165
Classification:
74:51:01:42. Beneficial uses of waters established.
Standard:
Note:
The Commerce and Industry waters do not have well defined chloride limits. The specific
language has been copied and pasted below. It is likely the most conservative standard
applicable for a stream reach will come into effect. Thus, chloride limits are given for
other beneficial uses.
Chloride Summary:
Drinking water 250 mg/L chloride (maximum)
Cold water permanent 100mg/L chloride (maximum)
74:51:01:54. Criteria for commerce and industry waters.
Univ. of Minnesota – Surface Water Quality Investigation 166
The criteria of parameters for commerce and industry waters and their allowable
variations that are not included under § 74:51:01:55 and Appendix B, unless set under §
74:51:01:24, are as found in the following table:
74:51:01:44. Criteria for domestic water supply waters.
The criteria of parameters for domestic water supply waters and their allowable
variations that arc not included under § 74:51:01:55 and Appendix B, unless set under §
74:51:01:24, arc as found in the following table:
Univ. of Minnesota – Surface Water Quality Investigation 167
74:51:01:45. Criteria for coldwater permanent fish life propagation waters.
The criteria of parameters for coldwater permanent fish life propagation waters and their
allowable variations that are not included under § 74:51:01:55 and Appendix B, unless
set under § 74:51:01:24, are as found in the following table:
Univ. of Minnesota – Surface Water Quality Investigation 168
Wisconsin
Date published:
Department of Natural Resources, 2008. Register No. 627 - Water Quality Standards for
Wisconsin Surface Waters. March 2008 (Retrieved online, January 20, 2010:
http://dnr.wi.gov/org/water/wm/wqs/standards.htm )
Definition:
(2) Water Quality Classification. (Source: Chapter NR 104. Uses and Designated
Standards)
(a) Whenever the goals as specified in s. 283.001 (1) (b), Stats., cannot be attained
because of conditions enumerated in s. NR 104.01 (1), a variance may be provided.
Variances from a specific water quality criteria may be given in s. NR 104.05 et. seq. or a
variance under one of the categories provided in this chapter may be specified.
(b) Practices attributable to municipal, industrial, commercial, domestic, agricultural,
land development, or other activities shall be controlled so that waters regardless of
their hydrologic and water quality classifications meet the general aesthetic and acute
toxicity conditions in s. NR 102.04 (1).
(1) HYDROLOGIC CLASSIFICATION.
(Source: Chapter NR 104. Uses and Designated Standards. NR 104.02 Surface water
classifications and effluent limitations.)
Univ. of Minnesota – Surface Water Quality Investigation 169
“Surface waters” as defined in s. NR 102.03 (6), may be classified according to their
hydraulic or hydrologic characteristics. For purposes of this chapter, surface waters will
be classified by the department into one of the following categories:
(a) Lakes or flowages.
This classification includes bodies of water whose current is more or less stagnant or
which lacks a unidirectional current.
(b) Diffused surface waters.
This classification includes any water from rains, intermittent springs or melting snow
which flows on the land surface, through ravines, etc., which are usually dry except in
times of runoff. This category does not include waters at the land surface in the vicinity
of agricultural or wastewater irrigation disposal systems.
(c) Wetlands.
This classification includes areas where water is at, near, or above the land surface long
enough to be capable of supporting aquatic or hydrophytic vegetation and which have
soils indicative of wet conditions.
(d) Wastewater effluent channels.
This classification includes discharge conveyances constructed primarily for the purpose
of transporting wastes from a facility to a point of discharge. Drainage ditches (including
those established under ch. 88, Stats.) constructed primarily for the purposes of
relieving excess waters on agricultural lands shall not be construed as effluent channels.
Modifications made to natural watercourses receiving wastewater effluents for the
purpose of increasing or enhancing the natural flow characteristics of the stream shall
not be classified as effluent channels.
(e) Noncontinuous streams.
Univ. of Minnesota – Surface Water Quality Investigation 170
This classification includes watercourses which have a defined stream channel, but have
a natural 7−day Q flow of less than 0.1 cfs and do not exhibit characteristics of being
perpetually wet without wastewater discharges.
(f) Continuous streams.
This classification includes watercourses which have a natural 7−day Q flow of greater
than 0.1 cfs or which exhibit characteristics of a perpetually wet environment, are
generally capable of supporting a diverse aquatic biota and flow in a defined stream
channel.
Note: The application of this classification system is not dependent on the navigability
properties of the watercourse, but is dependent upon the quantity−quality relationships
of the surface water
Classification: (Source: NR 102.04. Categories of standards.)
(3) FISH AND OTHER AQUATIC LIFE USES.
The department shall classify all surface waters into one of the fish and other aquatic life
subcategories described in this subsection. Only those use subcategories identified in
pars. (a) to (c) shall be considered suitable for the protection and propagation of a
balanced fish and other aquatic life community as provided in the federal water pollution
control act amendments of 1972, P.L. 92−500; 33 USC 1251 et seq.
Cold water communities. This subcategory includes surface waters capable of
supporting a community of cold water fish and other aquatic life, or serving as a
spawning area for cold waterfish species. This subcategory includes, but is not restricted
to, surface waters identified as trout water by the department of natural resources
(Wisconsin Trout Streams, publication 6−3600 (80)).
Univ. of Minnesota – Surface Water Quality Investigation 171
Warm water sport fish communities. This subcategory includes surface waters
capable of supporting a community of warm water sport fish or serving as a spawning
area for warm water sport fish.
Warm water forage fish communities. This subcategory includes surface waters
capable of supporting an abundant diverse community of forage fish and other aquatic
life.
Limited forage fish communities. (Intermediate surface waters). This
subcategory includes surface waters of limited capacity and naturally poor water quality
or habitat. These surface waters are capable of supporting only a limited community of
forage fish and other aquatic life.
Limited aquatic life. (Marginal surface waters). This subcategory includes surface
waters of severely limited capacity and naturally poor water quality or habitat. These
surface waters are capable of supporting only a limited community of aquatic life
Effluent Criteria
(4) OTHER CLASSIFICATIONS AND EFFLUENT CRITERIA. (Source: NR 102.04.
Categories of standards.)
(a) Surface waters significant to the environmental integrity of the state or region.
Under all hydrologic categories, the department reserves the right to require other
effluent limitations, including allocation of wasteloads for organic material, toxicants and
chlorine residuals if it is determined that the specified surface water is important to the
overall environmental integrity of the area. In waters identified as trout streams, located
Univ. of Minnesota – Surface Water Quality Investigation 172
in scientific areas or wild and scenic areas, providing endangered species habitat or of
high recreational potential, effluent criteria will be evaluated on a case−by−case basis.
(b) Surface waters classified for fish and aquatic life.
1. Streams. Where flowing streams or rivers are specified to achieve fish and aquatic life
criteria, wasteload allocation for organic material, toxicants and chlorine residuals shall
determine effluent criteria necessary to achieve that standard.
2. Lakes and flowages. Effluent characteristics for discharges to lakes or flowages shall
be based upon an evaluation of water quality necessary to protect fish and aquatic life
taking into account mixing zone and nutrient removal criteria.
3. Minimum effluent criteria. If it can be reasonably demonstrated that the quality of the
surface water is independent of a wastewater discharge, effluent limitations established
under ss. 283.13 and 283.19, Stats., shall apply.
(c) Wastewater treatment lagoons.
1. Effluents from fill−and− draw wastewater treatment lagoons or domestic waste
stabilization ponds discharging to waters receiving a variance in this chapter may be
permitted to vary from the limitations specified in table 1 or 2 provided the following
conditions are met: 1. The discharge occurs only during the spring and fall of the year
when the flow in the receiving water is normally high, and the temperature is low. The
rate of discharge shall not exceed that specified in a permit under s. 283.31, Stats., or
where no rate is indicated, the allowable discharge quantities shall be determined by the
department based upon current evaluation of the receiving water.
Univ. of Minnesota – Surface Water Quality Investigation 173
2. In lieu of the previous conditions, the discharge from a fill− and−draw lagoon may
occur at any time provided the rate does not exceed the assimilative capacity of the
receiving water as specified in a permit under s. 283.31, Stats.
3. The dissolved oxygen in the effluent is maintained at a level greater than or equal to
4 mg/L, and the permitted rate of discharge shall be such that the dissolved oxygen and
ammonia nitrogen criteria necessary to sustain fish and aquatic life are maintained in the
stream during the period of discharge.
4. The effluent limitations do not exceed those established
under ss. 283.13 and 283.19, Stats.
Standard:
(3) Acute Toxicity: Criteria for Substances with Toxicity related to Water Quality
Parameters. (Source: NR 105.05 Acute toxicity criteria and secondary, acute values for aquatic life.)
Univ. of Minnesota – Surface Water Quality Investigation 174
(Source: NR 105.06 Chronic toxicity criteria and secondary chronic values for fish and
aquatic life).
Effluent Criteria
(a) Limited forage fish communities (intermediate surface waters (Source: Chapter NR 104. Uses
and Designated Standards. p 22)
3. Effluent Criteria
Univ. of Minnesota – Surface Water Quality Investigation 175
(b) Limited aquatic life subcategory (marginal surface waters) (Source: Chapter NR 104. Uses and
Designated Standards. p 22)
3. Effluent Criteria
Site Specific Scenarios
Subchapter II — Interstate Waters
NR 104.20 Wisconsin−Illinois waters.
(2) The Fox River is used for recreation, waste assimilation, industrial supply, fishing
and irrigation. Water quality in the Fox River shall meet the standards for recreational
use and fish and aquatic life.
NR 104.21 Wisconsin−Minnesota−Iowa−Illinois
waters. The Mississippi River is used for commercial and recreational fishing, industrial
and cooling water supply, boating, hunting, commercial shipping and waste assimilation.
Water quality shall meet the standards and requirements for recreational use and fish
and aquatic life.
Additional
Univ. of Minnesota – Surface Water Quality Investigation 176
Procedures for Calculating Water Quality Based Effluent Limitations for Toxic and
Organoleptic Substances Discharged to Surface Waters.
NR 106.83 Regulation of chloride discharges.
(1) CHLORIDE EFFLUENT LIMITATIONS. The department shall evaluate the need to
establish effluent limitations for chloride whenever representative effluent data indicate
that the discharge from a point source contains chloride. If the department determines
that a water quality−based effluent limitation for chloride is needed, a calculated
limitation as defined in s. NR 106.82 (1) shall be included in the permit to meet the
applicable water quality standards specified in chs. NR 102 to 105, unless a chloride
variance is given pursuant to sub. (2).
(2) CHLORIDE VARIANCE. (a) Findings. On February 1, 2000,the department finds that:
1. End−of−pipe wastewater treatment technology for chloride is prohibitively expensive;
2. End−of−pipe wastewater treatment technology for chloride produces a concentrated
brine that can be as much or more of an environmental liability than the untreated
effluent;
3. Appropriate chloride source reduction activities are preferable environmentally to
end−of−pipe effluent treatment in most cases; and
4. For some dischargers, attaining the applicable water quality standards specified in
chs. NR 102 to 105 may cause substantial and widespread adverse social and economic
impacts in the area where the discharger is located.
5. These findings shall be reviewed by the department every 3 years.
Univ. of Minnesota – Surface Water Quality Investigation 177
Univ. of Minnesota – Surface Water Quality Investigation 178
Univ. of Minnesota – Surface Water Quality Investigation 179
Appendix E.Surface Water Quality Spreadsheets
The raw data of surface and ground water usage for irrigation and other agricultural uses, livestock watering, and industrial uses were obtained from the MN DNR. Spreadsheets of raw data and codes used can be found in the following excel spreadsheets, and are bundled with this report.
Spreadsheets are titled:
1. Appendix Ea. Industrial Surface water Values
2. Appendix Eb. Irrigation Major Crops Surface Water Values
3. Appendix Ec. Wild rice Surface Water Quantitative Uses
4. Appendix Ed. MN DNR CODES
Appendix E – a. MN DNR Water Quantities from Surface Water for Industrial Uses
Permit Installation Permittee Use ID Usename Category Permit Volume (MG)MN DNR Waters All Appropriation Permits Sorted by Permit Number 9/1/20091945-0022 1 EVERGREEN MINES CO 243 Mine Processing Industrial Processing 10.01947-0012 1 NORTHSHORE MINING COMPANY 243 Mine Processing Industrial Processing 50,000.01948-0094 1 NORTHERN PACIFIC RAILWAY 249 Other Industrial Processing Industrial Processing 10.01949-0135 1 MINNESOTA POWER & CLIFFS ERIE LLC 243 Mine Processing Industrial Processing 6,307.21950-0005 1 BECKER SAND & GRAVEL CO 249 Other Industrial Processing Industrial Processing .01950-0030 1 SEPPI BROTHERS CONCRETE PRODUCTS CORP 244 Sand and Gravel Washing Industrial Processing 3.01950-0044 1 SOUTHERN MN CONSTRUCTION CO INC 244 Sand and Gravel Washing Industrial Processing 72.01950-0172 ASH MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 50,000.01950-0172 C-1 MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 50,000.01950-0172 C-2 MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 50,000.01950-0172 FIRE MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 50,000.01950-0172 S-1 MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 50,000.01950-0172 S-2 MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 50,000.01950-0172 S-S MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 50,000.01951-0018 1 BUTLER BROTHERS 243 Mine Processing Industrial Processing 32.01951-0024 1 WINDOM READY MIX INC 244 Sand and Gravel Washing Industrial Processing 25.21951-0143 1 INTERSTATE IRON COMPANY 243 Mine Processing Industrial Processing 10.01952-0011 1 JONES AND LAUGHLIN STEEL 243 Mine Processing Industrial Processing 216.71952-0027 1 HANNA MINING CO 243 Mine Processing Industrial Processing 100.01952-0240 1 OLIVER IRON MINING 243 Mine Processing Industrial Processing .01953-0056 1 WESTERN MINING COMPANY 243 Mine Processing Industrial Processing .01953-0216 1 MINNESOTA POWER & CLIFFS ERIE LLC 243 Mine Processing Industrial Processing 106,000.01953-0216 2 MINNESOTA POWER & CLIFFS ERIE LLC 243 Mine Processing Industrial Processing 106,000.01953-0246 1 HANNA MINING CO 243 Mine Processing Industrial Processing 35.81954-0235 1 CYPRUS NORTHSHORE MINING 243 Mine Processing Industrial Processing 10.01954-0309 1 BREMIX/MILLE LACS AGGR & CONCRETE 244 Sand and Gravel Washing Industrial Processing 58.71955-0430 1 HANNA MINING CO 243 Mine Processing Industrial Processing 300.01956-0141 1 NEW ULM QUARTZITE QUARRY 243 Mine Processing Industrial Processing 81.01956-0141 1 NEW ULM QUARTZITE QUARRY 244 Sand and Gravel Washing Industrial Processing 81.01956-0180 1 CENTRAL-ALLIED ENTERPRISES INC 244 Sand and Gravel Washing Industrial Processing 44.41956-0197 1A MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 66,765.91956-0197 1B MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 66,765.91956-0197 2A MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 66,765.91956-0197 2B MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 66,765.91956-0197 FIRE MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 66,765.91956-0197 IBWS MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 66,765.91956-0197 MU MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 66,765.91956-0197 RWMU MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 66,765.91956-0202 1 MAHONING ORE AND STEEL 243 Mine Processing Industrial Processing .01956-0264 1 RHUDE MEDIA COMPANY 243 Mine Processing Industrial Processing .01957-0037 1 UNIMIN MINNESOTA CORP 244 Sand and Gravel Washing Industrial Processing 1,000.01958-0001 CON OTTER TAIL POWER CO 222 Steam Power Cooling (once through) Power Generation 32,873.01958-0001 NCON OTTER TAIL POWER CO 222 Steam Power Cooling (once through) Power Generation 32,873.0
Permit Installation Permittee Use ID Usename Category Permit Volume (MG)1958-0068 1 ROCK RIDGE RESOURCES 244 Sand and Gravel Washing Industrial Processing 6.01958-0269 1 RIPLEY SAND & GRAVEL 244 Sand and Gravel Washing Industrial Processing 40.51959-0225 1 GREAT RIVER ENERGY 222 Steam Power Cooling (once through) Power Generation 18,000.01959-0286 1 EDWARD KRAEMER & SONS INC 244 Sand and Gravel Washing Industrial Processing 50.01959-0393 1 GESELL CONCRETE PRODUCTS INC 244 Sand and Gravel Washing Industrial Processing 19.01959-0568 1 JONES & LAUGHLIN ST 243 Mine Processing Industrial Processing 211.81959-0568 2 JONES & LAUGHLIN ST 243 Mine Processing Industrial Processing 211.81960-0368 1 INTERSTATE POWER & LIGHT CO 222 Steam Power Cooling (once through) Power Generation 15,000.01961-0270 1 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 149,304.91962-0457 1 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 58,354.01962-0457 2 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 58,354.01962-0457 3 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 58,354.01962-0457 4 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 58,354.01962-0664 1 ARROWHEAD SAND & GRAVEL 244 Sand and Gravel Washing Industrial Processing 32.61962-0738 1 AGGREGATE INDUSTRIES-NCR INC 244 Sand and Gravel Washing Industrial Processing 130.01963-0114 1 AMES SAND & GRAVEL 244 Sand and Gravel Washing Industrial Processing 27.01963-0691 1 UNITED TACONITE LLC 243 Mine Processing Industrial Processing 4,010.01963-0846 2RIV UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 8,798.01963-0846 MTIR UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 8,798.01963-0846 TAIL UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 8,798.01964-0137 1 MEEKER WASHED SAND & GRAVEL 244 Sand and Gravel Washing Industrial Processing 80.01964-0474 1 MARSHALL SAND & GRAVEL 244 Sand and Gravel Washing Industrial Processing 50.01964-0486 1 CRM ACQUISITION INC 244 Sand and Gravel Washing Industrial Processing 30.01964-0487 1 DEUTZ & CROW CO INC 248 Non-Metallic Processing Industrial Processing 32.01964-0865 1 NSP CO DBA XCEL ENERGY 225 Steam Power (other than cooling) Power Generation 117,690.01964-1190 1 WORTHINGTON, CITY OF 245 Industrial Process Cooling Once-through Industrial Processing 5.0
243 i i d i l i 64 81965-0016 1 RESERVE MINING CO 243 Mine Processing Industrial Processing 64.81965-0309 1 WOODRICH CONSTRUCTION CO 248 Non-Metallic Processing Industrial Processing 2.01965-0351 B-1 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.81965-0351 B-2 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.81965-0351 B-3 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.81965-0351 B-4 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.81965-0351 B-5 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.81965-0351 B-6 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.81965-0351 N-1 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.81965-0351 N-10 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.81965-0351 N-12 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.81965-0351 N-13 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.81965-0351 N-2 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.81965-0351 N-3 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.81965-0351 N-4 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.81965-0351 N-5 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.81965-0351 N-6 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.81965-0351 N-7 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.81965-0351 N-8 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.81965-0351 N-9 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.8
Permit Installation Permittee Use ID Usename Category Permit Volume (MG)1965-0351 S-2 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 6,728.81965-0582 1 SEPPI BROS CONCRETE 244 Sand and Gravel Washing Industrial Processing 38.01966-1172 1 NSP CO DBA XCEL ENERGY 226 Nuclear Power Plant Power Generation 152,614.41967-0191 1 MOORHEAD PUBLIC SERVICE 222 Steam Power Cooling (once through) Power Generation 9,000.01967-0191 2 MOORHEAD PUBLIC SERVICE 222 Steam Power Cooling (once through) Power Generation 9,000.01967-0211 1 SOUTHERN MN CONSTRUCTION CO INC 244 Sand and Gravel Washing Industrial Processing 120.01967-0969 1 TROUMBLY BROTHERS 244 Sand and Gravel Washing Industrial Processing 12.01969-0033 1 MATHY CONSTRUCTION CO 244 Sand and Gravel Washing Industrial Processing 24.01969-0172 1 NSP CO DBA XCEL ENERGY 226 Nuclear Power Plant Power Generation 235,000.01969-1183 1 BIWABIK GRAVEL COMPANY 244 Sand and Gravel Washing Industrial Processing 1,647.01970-0265 1 BUFFALO BITUMINOUS 244 Sand and Gravel Washing Industrial Processing 69.11970-1081 1 HIBBING TACONITE COMPANY 243 Mine Processing Industrial Processing 8,341.01970-1081 2 HIBBING TACONITE COMPANY 243 Mine Processing Industrial Processing 8,341.01970-1081 3 HIBBING TACONITE COMPANY 243 Mine Processing Industrial Processing 8,341.01970-1087 1 BIWABIK GRAVEL COMPANY 244 Sand and Gravel Washing Industrial Processing 105.61970-1182 1 OTTER TAIL POWER CO ET AL 222 Steam Power Cooling (once through) Power Generation 2,281.01971-0309 1 AMES SAND & GRAVEL 244 Sand and Gravel Washing Industrial Processing 85.01971-0309 2 AMES SAND & GRAVEL 244 Sand and Gravel Washing Industrial Processing 85.01971-0577 1 TWIN PORTS AGGREGATE 244 Sand and Gravel Washing Industrial Processing 9.01971-0938 1 NSP CO DBA XCEL ENERGY 223 Steam Power Cooling (wet tower) Power Generation 10,750.01971-0938 2 NSP CO DBA XCEL ENERGY 223 Steam Power Cooling (wet tower) Power Generation 10,750.01971-0938 3 NSP CO DBA XCEL ENERGY 223 Steam Power Cooling (wet tower) Power Generation 10,750.01971-0938 4 NSP CO DBA XCEL ENERGY 223 Steam Power Cooling (wet tower) Power Generation 10,750.01972-0041 2 BARTON SAND & GRAVEL 244 Sand and Gravel Washing Industrial Processing 9.61972-0671 1 KOOPMANS READY MIX 244 Sand and Gravel Washing Industrial Processing 36.01973-5016 1 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 3,494.6
243 i i d i l i 2 476 01973-5095 1 ARCELORMITTAL MINORCA MINE INC 243 Mine Processing Industrial Processing 2,476.01974-2086 1 AMAX EXPLORATION INC 249 Other Industrial Processing Industrial Processing 10.01974-2137 1 AMAX EXPLORATION INC 249 Other Industrial Processing Industrial Processing 15.01974-5010 1 BARTON SAND & GRAVEL COMPANY 244 Sand and Gravel Washing Industrial Processing 92.01974-5010 1A BARTON SAND & GRAVEL COMPANY 244 Sand and Gravel Washing Industrial Processing 92.01974-5139 1 HOLST EXCAVATING INC 244 Sand and Gravel Washing Industrial Processing 20.01974-5145 1 ROVERUD CONSTRUCTION CO 244 Sand and Gravel Washing Industrial Processing 12.01975-1134 1 SCHMIDGALL, WAYNE K 243 Mine Processing Industrial Processing 32.41975-1135 1 SCHMIDGALL, WAYNE K 243 Mine Processing Industrial Processing 32.41975-1135 1 SCHMIDGALL, WAYNE K 244 Sand and Gravel Washing Industrial Processing 32.41975-2147 1 BLANDIN PAPER CO 229 Other Power Generation Power Generation 7,000.01975-2147 1 BLANDIN PAPER CO 242 Paper/Pulp Processing Industrial Processing 7,000.01975-2162 1 USG INTERIORS INC 242 Paper/Pulp Processing Industrial Processing 669.01975-2162 2 USG INTERIORS INC 242 Paper/Pulp Processing Industrial Processing 669.01975-2165 1 SAPPI CLOQUET LLC 242 Paper/Pulp Processing Industrial Processing 3,829.01975-2212 1 EW COONS COMPANY 244 Sand and Gravel Washing Industrial Processing 56.01975-2246 1 LTV STEEL COMPANY 243 Mine Processing Industrial Processing 100.01975-3228 1 WAUSAU PAPER PRINTING & WRITING LLC 242 Paper/Pulp Processing Industrial Processing 1,500.01975-4329 CON OTTER TAIL POWER CO 222 Steam Power Cooling (once through) Power Generation 5,300.01975-4329 NCON OTTER TAIL POWER CO 222 Steam Power Cooling (once through) Power Generation 5,300.0
Permit Installation Permittee Use ID Usename Category Permit Volume (MG)1975-6240 1 FORD MOTOR COMPANY 245 Industrial Process Cooling Once-through Industrial Processing 305.01976-2052 1 NORTHSHORE MINING COMPANY 243 Mine Processing Industrial Processing 3,200.01976-2052 2 NORTHSHORE MINING COMPANY 243 Mine Processing Industrial Processing 3,200.01976-3079 1 PITTSBURGH PACIFIC 243 Mine Processing Industrial Processing 77.01976-3308 1 BREMIX CONCRETE CO 244 Sand and Gravel Washing Industrial Processing 33.61976-4024 1 ORTONVILLE STONE CO 244 Sand and Gravel Washing Industrial Processing 4.61976-4041 1 WILLETT GRAVEL CO 248 Non-Metallic Processing Industrial Processing 2.01976-4355 1 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 9,000.01976-4355 2 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 9,000.01976-4355 3 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 9,000.01976-4355 4 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 9,000.01976-4356 1 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 13,700.01976-4356 2 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 13,700.01976-4356 3 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 13,700.01976-4356 4 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 13,700.01976-4356 5 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 13,700.01976-4356 6 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 13,700.01976-4356 7 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 13,700.01976-4356 8 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 13,700.01976-4356 9 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 13,700.01976-5041 1 FRED CARLSON COMPANY 244 Sand and Gravel Washing Industrial Processing 100.01976-5136 1 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 16,000.01976-5136 2 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 16,000.01976-5136 3 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 16,000.01976-5136 4 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 16,000.01976-5136 5 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 16,000.0
244 d d l hi d i l i 17 51976-6101 1 HARBOR DEVELOPER 244 Sand and Gravel Washing Industrial Processing 17.51976-6313 2 CEMSTONE PRODUCTS COMPANY 244 Sand and Gravel Washing Industrial Processing 20.01976-6345 1 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 69,732.01976-6347 1 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 114,050.01977-2168 1 PITTSBURGH PACIFIC 249 Other Industrial Processing Industrial Processing 51.11977-2212 1 TATE & LYLE CITRIC ACID INC 246 Petroleum-Chemical processing, Ethanol Industrial Processing 530.01977-3754 1 BAUERLY BROTHERS INC 244 Sand and Gravel Washing Industrial Processing 30.01977-3898 1 BARTON SAND & GRAVEL 244 Sand and Gravel Washing Industrial Processing 29.01978-1310 1 BRADSHAW GRAVEL SUP 244 Sand and Gravel Washing Industrial Processing 340.01978-3057 1 BARTON SAND & GRAVEL 244 Sand and Gravel Washing Industrial Processing 50.01979-2012 1 AINSWORTH ENGINEERED USA LLC 242 Paper/Pulp Processing Industrial Processing 25.01979-2151 1 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 395.01979-2164 1 DULUTH, MISSABE & IRON RANGE RAIL 243 Mine Processing Industrial Processing 10.01979-3078 1 ELK RIVER, CITY OF 222 Steam Power Cooling (once through) Power Generation 10.01979-3078 1 ELK RIVER, CITY OF 229 Other Power Generation Power Generation 10.01979-6060 1 BARTON SAND & GRAVEL 244 Sand and Gravel Washing Industrial Processing 55.01980-3043 1 CMP SARTELL LLC 242 Paper/Pulp Processing Industrial Processing 3,865.01980-4301 1 DUININCK BROTHERS INC 244 Sand and Gravel Washing Industrial Processing 50.01980-6031 1 NSP CO DBA XCEL ENERGY 222 Steam Power Cooling (once through) Power Generation 6.01981-2065 1 BOISE WHITE PAPER LLC 242 Paper/Pulp Processing Industrial Processing 25,000.0
Permit Installation Permittee Use ID Usename Category Permit Volume (MG)1981-2065 2 BOISE WHITE PAPER LLC 242 Paper/Pulp Processing Industrial Processing 25,000.01982-2041 3 MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 86,120.01982-2041 4 MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 86,120.01982-2041 5 MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 86,120.01982-2041 6 MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 86,120.01982-2041 1A MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 86,120.01982-2041 1B MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 86,120.01982-2041 2A MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 86,120.01982-2041 2B MINNESOTA POWER 222 Steam Power Cooling (once through) Power Generation 86,120.01982-2042 1 PITTSBURGH PACIFIC 249 Other Industrial Processing Industrial Processing 127.41982-2080 1 DULUTH, MISSABE & IRON RANGE RAIL 243 Mine Processing Industrial Processing 4.01982-2094 1 RESERVE MINING CO 249 Other Industrial Processing Industrial Processing 10.01982-2095 1 CYPRUS NORTHSHORE MINING 249 Other Industrial Processing Industrial Processing 330.01982-2095 2 CYPRUS NORTHSHORE MINING 249 Other Industrial Processing Industrial Processing 330.01982-2095 3 CYPRUS NORTHSHORE MINING 249 Other Industrial Processing Industrial Processing 330.01982-4144 1 CENTRAL-ALLIED ENTERPRISES INC 244 Sand and Gravel Washing Industrial Processing 50.01982-4216 1 MOODY, RALPH C 244 Sand and Gravel Washing Industrial Processing 116.01982-6106 1 UNIMIN MINNESOTA CORP 244 Sand and Gravel Washing Industrial Processing 300.01983-3007 1 GRANITE CITY READY MIX 244 Sand and Gravel Washing Industrial Processing 100.01983-5009 2 AGGREGATE INDUSTRIES-NCR INC 244 Sand and Gravel Washing Industrial Processing 220.01983-6152 1 SCHIMMELPFENNIG, DAN 244 Sand and Gravel Washing Industrial Processing 9.01984-2042 1 OLDER, LEE 244 Sand and Gravel Washing Industrial Processing 8.01984-2042 2 OLDER, LEE 244 Sand and Gravel Washing Industrial Processing 8.01984-2129 1 GERDAU AMERISTEEL US INC 245 Industrial Process Cooling Once-through Industrial Processing 100.01984-6178 1 HOLST EXCAVATING INC 244 Sand and Gravel Washing Industrial Processing 120.01985-1040 1 AGGREGATE INDUSTRIES-NCR INC 244 Sand and Gravel Washing Industrial Processing 36.0
& 244 d d l hi d i l i 30 01985-4144 1 WASECA SAND & GRAVEL 244 Sand and Gravel Washing Industrial Processing 30.01985-4204 1 WINTER CONCRETE PRODUCTS 244 Sand and Gravel Washing Industrial Processing 19.01986-3048 1 ORDER OF ST BENEDICT INC 222 Steam Power Cooling (once through) Power Generation 110.01986-6219 1 U OF MN 221 Hydro Power Power Generation 120.01987-2036 1 VIRGINIA PUBLIC UTILITIES 222 Steam Power Cooling (once through) Power Generation 5,250.01987-2036 2 VIRGINIA PUBLIC UTILITIES 222 Steam Power Cooling (once through) Power Generation 5,250.01987-2036 3 VIRGINIA PUBLIC UTILITIES 222 Steam Power Cooling (once through) Power Generation 5,250.01987-2036 4 VIRGINIA PUBLIC UTILITIES 222 Steam Power Cooling (once through) Power Generation 5,250.01987-2036 5 VIRGINIA PUBLIC UTILITIES 222 Steam Power Cooling (once through) Power Generation 5,250.01987-2036 6 VIRGINIA PUBLIC UTILITIES 222 Steam Power Cooling (once through) Power Generation 5,250.01987-2036 7 VIRGINIA PUBLIC UTILITIES 222 Steam Power Cooling (once through) Power Generation 5,250.01987-2037 1 TWO HARBORS, CITY OF 222 Steam Power Cooling (once through) Power Generation 330.01987-2037 2 TWO HARBORS, CITY OF 222 Steam Power Cooling (once through) Power Generation 330.01987-2037 3 TWO HARBORS, CITY OF 222 Steam Power Cooling (once through) Power Generation 330.01987-2037 4 TWO HARBORS, CITY OF 222 Steam Power Cooling (once through) Power Generation 330.01987-2047 1 GEORGIA-PACIFIC WOOD PRODUCTS LLC 242 Paper/Pulp Processing Industrial Processing 1,000.01987-2047 2 GEORGIA-PACIFIC WOOD PRODUCTS LLC 242 Paper/Pulp Processing Industrial Processing 1,000.01987-2047 3 GEORGIA-PACIFIC WOOD PRODUCTS LLC 242 Paper/Pulp Processing Industrial Processing 1,000.01987-3113 1 HENNEPIN PAPER COMPANY 242 Paper/Pulp Processing Industrial Processing 800.01987-3178 1 NORTHERN CON-AGG INC 244 Sand and Gravel Washing Industrial Processing 28.8
Permit Installation Permittee Use ID Usename Category Permit Volume (MG)1987-4028 1 FAIRMONT, CITY OF 222 Steam Power Cooling (once through) Power Generation 2,240.01987-4028 2 FAIRMONT, CITY OF 222 Steam Power Cooling (once through) Power Generation 2,240.01987-4028 3 FAIRMONT, CITY OF 222 Steam Power Cooling (once through) Power Generation 2,240.01987-4148 1 SPRINGFIELD, CITY OF 222 Steam Power Cooling (once through) Power Generation 54.01987-5039 1 JOHNSON, LAMAR 244 Sand and Gravel Washing Industrial Processing 8.01988-1042 1 THORSON INC 244 Sand and Gravel Washing Industrial Processing 1.01988-3054 1 AGGREGATE INDUSTRIES-NCR INC 244 Sand and Gravel Washing Industrial Processing 300.01988-4110 1 MOORSE SAND & GRAVEL 244 Sand and Gravel Washing Industrial Processing 2.31988-6242 1 DAVENPORT CEMENT CO 249 Other Industrial Processing Industrial Processing 6.01989-2046 1 COONS AGGREGATE SUPPLY CO 244 Sand and Gravel Washing Industrial Processing 29.01989-2121 1 HEARTHMARK INC 225 Steam Power (other than cooling) Power Generation 50.01989-2121 1 HEARTHMARK INC 242 Paper/Pulp Processing Industrial Processing 50.01989-3341 1 GUTZMAN, JOEL 244 Sand and Gravel Washing Industrial Processing 14.01989-3397 1 BAUERLY BROTHERS INC 244 Sand and Gravel Washing Industrial Processing 50.01989-4050 1 NORTHERN CON-AGG INC 244 Sand and Gravel Washing Industrial Processing 50.01989-4061 1 WINDOM READY MIX INC 244 Sand and Gravel Washing Industrial Processing 36.01989-4071 1 BITUMINOUS PAVING INC 248 Non-Metallic Processing Industrial Processing 1.01989-4090 1 FARMERS UNION MARKETING 249 Other Industrial Processing Industrial Processing 10.01989-4272 1 WINDOM READY MIX INC 244 Sand and Gravel Washing Industrial Processing 72.01989-4281 1 WINTER CONCRETE PRODUCTS 244 Sand and Gravel Washing Industrial Processing 16.01989-5156 1 NORTHERN CON-AGG INC 244 Sand and Gravel Washing Industrial Processing 4.81989-5157 1 QUARVE & ANDERSON 244 Sand and Gravel Washing Industrial Processing 36.01990-1156 1 GESELL CONCRETE PRODUCTS INC 244 Sand and Gravel Washing Industrial Processing 35.01990-1326 1 NORTHERN CON-AGG INC 244 Sand and Gravel Washing Industrial Processing 4.51990-3402 1 ANNANDALE ROCK PRODUCTS 244 Sand and Gravel Washing Industrial Processing 48.01990-3449 1 KINGSWAY CONSTRUCTION 244 Sand and Gravel Washing Industrial Processing 2.2
244 d d l hi d i l i 30 01990-3466 1 BAUERLY BROTHERS INC 244 Sand and Gravel Washing Industrial Processing 30.01990-3466 2 BAUERLY BROTHERS INC 244 Sand and Gravel Washing Industrial Processing 30.01990-4274 1 SOUTHERN MN CONSTRUCTION CO INC 244 Sand and Gravel Washing Industrial Processing 150.01990-4275 1 NORTHERN CON-AGG INC 244 Sand and Gravel Washing Industrial Processing 20.01990-4295 1 BAUERLY BROTHERS INC 244 Sand and Gravel Washing Industrial Processing 5.41990-5088 1 SOUTHERN MN CONSTRUCTION CO INC 244 Sand and Gravel Washing Industrial Processing 135.01990-5089 1 SOUTHERN MN CONSTRUCTION CO INC 244 Sand and Gravel Washing Industrial Processing 125.01990-6285 POND CEMSTONE PRODUCTS COMPANY 244 Sand and Gravel Washing Industrial Processing 45.01990-6285 POND CEMSTONE PRODUCTS COMPANY 248 Non-Metallic Processing Industrial Processing 45.01991-1154 1 MORRIS SAND & GRAVEL 244 Sand and Gravel Washing Industrial Processing 60.01991-1294 1 AGGREGATE INDUSTRIES-NCR INC 244 Sand and Gravel Washing Industrial Processing 175.01991-2102 1 NORTHERN CON-AGG INC 244 Sand and Gravel Washing Industrial Processing 5.01991-2117 1 SEPPI BROS CONCRETE 244 Sand and Gravel Washing Industrial Processing 49.51991-2118 1 SEPPI BROS CONCRETE 244 Sand and Gravel Washing Industrial Processing 49.51991-2189 1 NORTHSHORE MINING COMPANY 243 Mine Processing Industrial Processing 400.01991-2200 1 COONS AGGREGATE SUPPLY CO 244 Sand and Gravel Washing Industrial Processing 45.01991-3155 1 MARVS CONSTRUCTION 244 Sand and Gravel Washing Industrial Processing 16.01991-3184 1 TESSMER, MILAN G 244 Sand and Gravel Washing Industrial Processing 96.01991-3307 1 AGGREGATE INDUSTRIES-NCR INC 244 Sand and Gravel Washing Industrial Processing 400.01991-4005 1 L & S CONSTRUCTION CORP 244 Sand and Gravel Washing Industrial Processing 1.5
Permit Installation Permittee Use ID Usename Category Permit Volume (MG)1991-4040 1 MOONEYS INC 244 Sand and Gravel Washing Industrial Processing 1.71991-4210 1 L & S CONSTRUCTION CORP 244 Sand and Gravel Washing Industrial Processing 40.01991-4210 2 L & S CONSTRUCTION CORP 244 Sand and Gravel Washing Industrial Processing 40.01991-4239 1 CASTLE ROCK CONSTRUCTION 248 Non-Metallic Processing Industrial Processing 5.01991-4242 1 NORTHERN CON-AGG INC 244 Sand and Gravel Washing Industrial Processing 10.01991-5097 1 QUARVE & ANDERSON 244 Sand and Gravel Washing Industrial Processing 50.01992-2203 1 NORTHERN CON-AGG INC 244 Sand and Gravel Washing Industrial Processing 15.01992-3006 1 NORTHERN CON-AGG INC 244 Sand and Gravel Washing Industrial Processing 9.01992-3134 1 KRAMER EXCAVATING, RANDY 244 Sand and Gravel Washing Industrial Processing 16.01992-3282 1 BREMIX CONCRETE CO 244 Sand and Gravel Washing Industrial Processing 5.71992-3295 1 ST NICHOLAS ENERGY CORP 246 Petroleum-Chemical processing, Ethanol Industrial Processing 28.01992-4038 1 PROGRESSIVE CONTRACTORS 248 Non-Metallic Processing Industrial Processing 4.01992-5090 1 SOUTHERN MN CONSTRUCTION CO INC 244 Sand and Gravel Washing Industrial Processing 125.01992-5102 1 NORTHERN CON-AGG INC 244 Sand and Gravel Washing Industrial Processing 30.01993-1165 1 NORTHERN CON-AGG INC 244 Sand and Gravel Washing Industrial Processing 16.01993-3215 1 BREITBACH CONSTRUCTION 244 Sand and Gravel Washing Industrial Processing 20.01993-3242 1 LATOUR, THEODORE 244 Sand and Gravel Washing Industrial Processing 48.01993-4036 1 PROGRESSIVE CONTRACTORS 248 Non-Metallic Processing Industrial Processing 1.01993-4104 1 DUININCK BROTHERS INC 244 Sand and Gravel Washing Industrial Processing 26.01993-4119 1 NORTHERN CON-AGG INC 244 Sand and Gravel Washing Industrial Processing 16.01993-4178 1 MUECKE SAND & GRAVEL, R A 244 Sand and Gravel Washing Industrial Processing 40.01993-5014 1 BONANZA GRAIN INC 244 Sand and Gravel Washing Industrial Processing 20.01993-5061 1 MATHY CONSTRUCTION CO 244 Sand and Gravel Washing Industrial Processing 21.61993-5065 1 ROCHESTER PUBLIC UTILITIES 222 Steam Power Cooling (once through) Power Generation 26,000.01993-6152 1 BARTON SAND & GRAVEL 244 Sand and Gravel Washing Industrial Processing 43.01994-2025 1 DULUTH READY MIX CONCRETE 244 Sand and Gravel Washing Industrial Processing 30.0
244 d d l hi d i l i 2 51994-2167 1 ANDERSON BROTHERS CONSTRUCTION 244 Sand and Gravel Washing Industrial Processing 2.51994-3100 1 BAUERLY BROTHERS INC 244 Sand and Gravel Washing Industrial Processing 40.01994-3100 1 BAUERLY BROTHERS INC 248 Non-Metallic Processing Industrial Processing 40.01994-3124 1 MINNESOTA FOREST PRODUCTS 222 Steam Power Cooling (once through) Power Generation 5.01994-4219 1 NORTHERN CON-AGG INC 244 Sand and Gravel Washing Industrial Processing 30.01994-4281 1 L & S CONSTRUCTION CORP 244 Sand and Gravel Washing Industrial Processing 29.01994-6093 1 PRIOR LAKE AGGREGATES 244 Sand and Gravel Washing Industrial Processing 196.01995-1065 1 STOSKOPF REDIMIX INC 244 Sand and Gravel Washing Industrial Processing 1.91995-1129 1 SHERBROOKE ASPHALT INC 244 Sand and Gravel Washing Industrial Processing 20.01995-1197 1 SHERBROOKE ASPHALT INC 244 Sand and Gravel Washing Industrial Processing 25.01995-3172 1 BREMIX CONCRETE CO 244 Sand and Gravel Washing Industrial Processing 30.01996-4231 1 DUININCK BROTHERS INC 244 Sand and Gravel Washing Industrial Processing 3.01997-2051 1 PREMIER AGGREGATES INC 244 Sand and Gravel Washing Industrial Processing 290.01997-4209 1 DUININCK CONCRETE LLC 244 Sand and Gravel Washing Industrial Processing 86.01998-2131 1 LKO CONTRACTING 244 Sand and Gravel Washing Industrial Processing 26.01998-4006 1 WINDOM READY MIX INC 244 Sand and Gravel Washing Industrial Processing 160.01998-5017 1 FARIBAULT WOOLEN MILL COMPANY 245 Industrial Process Cooling Once-through Industrial Processing 8.01998-5081 1 AGGREGATE INDUSTRIES-NCR INC 244 Sand and Gravel Washing Industrial Processing 35.01998-6140 1 AGGREGATE INDUSTRIES-NCR INC 244 Sand and Gravel Washing Industrial Processing 35.01999-1136 1 AGGREGATE INDUSTRIES-NCR INC 244 Sand and Gravel Washing Industrial Processing 120.0
Permit Installation Permittee Use ID Usename Category Permit Volume (MG)1999-1153 1 MNDAK CONCRETE INC 244 Sand and Gravel Washing Industrial Processing 100.01999-1175 1 MORICAL BROTHERS INC 244 Sand and Gravel Washing Industrial Processing 18.01999-2063 1 UNITED STATES STEEL CORP 243 Mine Processing Industrial Processing 100.01999-2136 1 PREMIER AGGREGATES INC 244 Sand and Gravel Washing Industrial Processing 28.81999-3163 1 STOMMES CONSTRUCTION 244 Sand and Gravel Washing Industrial Processing 68.01999-4163 1 REINER, CRAIG 244 Sand and Gravel Washing Industrial Processing 3.32000-1098 1 AGGREGATE INDUSTRIES-NCR INC 244 Sand and Gravel Washing Industrial Processing 150.02000-1099 1 AGGREGATE INDUSTRIES-NCR INC 244 Sand and Gravel Washing Industrial Processing 150.02000-6013 1 BARSNESS CONSTRUCTION & EXCAVATION 244 Sand and Gravel Washing Industrial Processing 25.02000-6099 1 AGGREGATE INDUSTRIES-NCR INC 244 Sand and Gravel Washing Industrial Processing 10.02000-6104 1 HASSAN SAND & GRAVEL INC 244 Sand and Gravel Washing Industrial Processing 48.02000-6116 1 AGGREGATE INDUSTRIES-NCR INC 244 Sand and Gravel Washing Industrial Processing 307.22000-6135 1 AGGREGATE INDUSTRIES-NCR INC 244 Sand and Gravel Washing Industrial Processing 767.42001-2057 1 KNAEBLE TIMBER INC 242 Paper/Pulp Processing Industrial Processing 8.02002-6018 1 BARTON SAND & GRAVEL 244 Sand and Gravel Washing Industrial Processing 35.02002-6042 1 AGGREGATE INDUSTRIES-NCR INC 244 Sand and Gravel Washing Industrial Processing 340.22002-6064 1 BITUMINOUS ROADWAYS INC 244 Sand and Gravel Washing Industrial Processing 48.02002-6096 1 FOSTER WHEELER TWIN CITIES INC 225 Steam Power (other than cooling) Power Generation 2.02003-2109 1 SCHWARTZ REDI MIX INC 244 Sand and Gravel Washing Industrial Processing 38.92003-3006 1 RIVER CITY ASPHALT INC 244 Sand and Gravel Washing Industrial Processing 11.02003-3162 1 STORLIE, JOHN 244 Sand and Gravel Washing Industrial Processing 7.02003-3177 1 BUFFALO BITUMINOUS 244 Sand and Gravel Washing Industrial Processing 2.02003-4161 1 NORTHERN CON-AGG INC 244 Sand and Gravel Washing Industrial Processing 24.02003-4234 1 MILESTONE MATERIALS 244 Sand and Gravel Washing Industrial Processing 30.02004-1135 1 CONTRACTORS LEASING 244 Sand and Gravel Washing Industrial Processing 150.02004-2011 1 STAFNE SAND AND GRAVEL LLC 244 Sand and Gravel Washing Industrial Processing 25.3
244 d d l hi d i l i 90 02004-3001 1 GRANITE CITY CONCRETE INC 244 Sand and Gravel Washing Industrial Processing 90.02004-3008 1 GRANITE CITY CONCRETE OF WATKINS 244 Sand and Gravel Washing Industrial Processing 32.02004-4174 1 TRI-COUNTY AGGREGATE, INC 244 Sand and Gravel Washing Industrial Processing 8.02004-4236 1 ROVERUD CONSTRUCTION INC 244 Sand and Gravel Washing Industrial Processing 9.02004-4237 1 ULLAND BROTHERS INC 244 Sand and Gravel Washing Industrial Processing 8.02004-4238 1 ROVERUD CONSTRUCTION INC 244 Sand and Gravel Washing Industrial Processing 27.02005-1109 1 NORTHSTAR MATERIALS INC 244 Sand and Gravel Washing Industrial Processing 45.02005-2058 2WEST X STEEL DYNAMICS INC 247 Metal Processing Industrial Processing 2,628.02005-2058 AREA 1 STEEL DYNAMICS INC 247 Metal Processing Industrial Processing 2,628.02005-3141 1 AMCON BLOCK & PRECAST 244 Sand and Gravel Washing Industrial Processing 8.52005-4010 1 ULLAND BROTHERS INC 244 Sand and Gravel Washing Industrial Processing 24.02005-4135 1 MILESTONE MATERIALS 244 Sand and Gravel Washing Industrial Processing 36.02005-4144 1 BISHOP EXCAVATING INC 244 Sand and Gravel Washing Industrial Processing 13.02006-0153 1 CHAD MONSON EXCAVATING LLC 244 Sand and Gravel Washing Industrial Processing 115.02006-0200 1 DUNHAM, DAVID 244 Sand and Gravel Washing Industrial Processing 11.02006-0433 1 MINNESOTA STEEL INDUSTRIES LLC 243 Mine Processing Industrial Processing 3,679.02006-0433 2 MINNESOTA STEEL INDUSTRIES LLC 243 Mine Processing Industrial Processing 3,679.02006-0536 1 CEMSTONE PRODUCTS COMPANY 244 Sand and Gravel Washing Industrial Processing 52.02006-0580 1 DIETZ, DAVID D 244 Sand and Gravel Washing Industrial Processing 50.02007-0016 1 GRANITE FALLS ETHANOL PLANT LLC 246 Petroleum-Chemical processing, Ethanol Industrial Processing 250.0
Permit Installation Permittee Use ID Usename Category Permit Volume (MG)2007-0114 1 GLACIER RESOURCES LTD 244 Sand and Gravel Washing Industrial Processing 175.02007-0667 POND BRYAN ROCK PRODUCTS INC 244 Sand and Gravel Washing Industrial Processing 50.02007-0729 1 MN DAK CONCRETE INC 244 Sand and Gravel Washing Industrial Processing 13.02008-0065 6 MINNESOTA STEEL INDUSTRIES LLC 243 Mine Processing Industrial Processing 1,577.02008-0065 DRAPER MINNESOTA STEEL INDUSTRIES LLC 243 Mine Processing Industrial Processing 1,577.02008-0066 ANN MINNESOTA STEEL INDUSTRIES LLC 243 Mine Processing Industrial Processing .02008-0067 5 MINNESOTA STEEL INDUSTRIES LLC 243 Mine Processing Industrial Processing 2,365.02008-0067 SULLIVAN MINNESOTA STEEL INDUSTRIES LLC 243 Mine Processing Industrial Processing 2,365.02008-0216 1 ARCELORMITTAL MINORCA MINE INC 243 Mine Processing Industrial Processing 903.92008-0400 3 POTLATCH LAND AND LUMBER LLC 248 Non-Metallic Processing Industrial Processing 68.42008-0411 1 EUREKA SAND AND GRAVEL INC 244 Sand and Gravel Washing Industrial Processing 28.82008-0456 1 ANNANDALE ROCK PRODUCTS INC 244 Sand and Gravel Washing Industrial Processing 24.02008-0487 POND SEPPI BROTHERS CONCRETE PRODUCTS CORP 244 Sand and Gravel Washing Industrial Processing 93.02008-0569 POND AJ'S AGGREGATE AND TRUCKING LLC 244 Sand and Gravel Washing Industrial Processing 8.62009-0009 1 AGGREGATE INDUSTRIES 244 Sand and Gravel Washing Industrial Processing 690.02009-0009 2 AGGREGATE INDUSTRIES 244 Sand and Gravel Washing Industrial Processing 690.02009-0108 1 CEMSTONE PRODUCTS COMPANY 244 Sand and Gravel Washing Industrial Processing 20.02009-0224 1 NORTHERN CON-AGG INC 244 Sand and Gravel Washing Industrial Processing 24.02009-0478 1 BROSSETH, KELLY 244 Sand and Gravel Washing Industrial Processing 96.02009-0544 1 MILESTONE MATERIALS 244 Sand and Gravel Washing Industrial Processing 153.62009-0592 1 MATHY CONSTRUCTION CO 244 Sand and Gravel Washing Industrial Processing 153.62009-0699 1 TILLER CORPORATION 244 Sand and Gravel Washing Industrial Processing 20.0
Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID County Watershed Twp Rng Section
4 2 MAHNOMEN LAKE 18-0126P 18 Crow Wing 10 46 29 395,000 1 2 LAKE SUPERIOR 16-0001P 38 Lake 2 55 7 6
100 4 2 BLACKHOOF LAKE 18-0117P 18 Crow Wing 10 46 29 912,000 1 2 COLBY LAKE 69-0249P 69 St Louis 3 58 14 7
4 2 MIX LAKE 3 Becker 56 138 41 6500 1 2 JAMER LAKE 69-0734P 69 St Louis 76 60 18 27
1,500 1 3 BLUE EARTH RIVER 7 Blue Earth 30 108 27 26100,500 1 2 COLBY LAKE 69-0249P 69 St Louis 3 58 14 7100,500 1 2 COLBY LAKE 69-0249P 69 St Louis 3 58 14 7100,500 1 2 COLBY LAKE 69-0249P 69 St Louis 3 58 14 7100,500 1 2 COLBY LAKE 69-0249P 69 St Louis 3 58 14 7100,500 1 2 COLBY LAKE 69-0249P 69 St Louis 3 58 14 7100,500 1 2 COLBY LAKE 69-0249P 69 St Louis 3 58 14 7100,500 1 2 COLBY LAKE 69-0249P 69 St Louis 3 58 14 7
1,000 4 2 OX HIDE LAKE 31-0106P 31 Itasca 9 56 23 12500 1 2 COTTONWOOD 17-0022P 17 Cottonwood 51 105 36 25
4 6 GRANT MINE 69 St Louis 3 58 19 204 6 WENTWORTH MINE 69 St Louis 3 59 14 21
3,000 4 2 PRAIRIE LAKE 34-0053P 31 Itasca 9 56 25 343,100 4 2 HOLMAN LAKE 31-0227P 31 Itasca 9 56 24 263,000 4 2 POKEGAMA LAKE 31-0532P 31 Itasca 7 55 26 23
60,000 1 2 LAKE SUPERIOR 16-0001P 16 Cook 1 58 5 160,000 3 2 LAKE SUPERIOR 16-0001P 16 Cook 1 58 5 11,600 4 3 69 St Louis 3 58 20 35200 4 3 DUNKA 69 St Louis 72 60 12 15700 1 3 RUM RIVER 48 Mille Lacs 21 38 27 1
2,500 4 2 PRAIRIE LAKE 31-0053P 31 Itasca 9 56 25 351,200 1 3 MINNESOTA RIVER 52 Nicollet 28 110 30 341,200 1 3 MINNESOTA RIVER 52 Nicollet 28 110 30 341,200 1 3 LONG OUTLET 34 Kandiyohi 18 122 33 314,500 1 2 BLACKWATER LAKE 31-0561P 31 Itasca 7 55 26 94,500 1 2 BLACKWATER LAKE 31-0561P 31 Itasca 7 55 26 94,500 1 2 BLACKWATER LAKE 31-0561P 31 Itasca 7 55 26 94,500 1 2 BLACKWATER LAKE 31-0561P 31 Itasca 7 55 26 94,500 1 2 BLACKWATER LAKE 31-0561P 31 Itasca 7 55 26 94,500 1 2 BLACKWATER LAKE 31-0561P 31 Itasca 7 55 26 94,500 1 2 BLACKWATER LAKE 31-0561P 31 Itasca 7 55 26 94,500 1 2 BLACKWATER LAKE 31-0561P 31 Itasca 7 55 26 95,000 4 5 MAHONING POND 69 St Louis 3 57 21 3200 4 2 HOLMAN LAKE 31-0227P 31 Itasca 9 56 24 23
3,000 1 5 40 Le Sueur 28 110 26 41 3 OTTER TAIL RIVER 56 Otter Tail 56 133 43 361 3 OTTER TAIL RIVER 56 Otter Tail 56 133 43 36
Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID County Watershed Twp Rng Section1,500 1 2 DART LAKE 03-0474P 3 Becker 56 138 42 1700 4 3 NOKASIPPI RIVER 18 Crow Wing 10 43 32 26
50,000 1 3 MISSISSIPPI RIVER 71 Sherburne 17 32 26 31,600 1 5 19 Dakota 33 27 24 33
4 3 JANOUS 15 Clearwater 66 147 37 221,000 4 3 PRAIRIE 31 Itasca 9 55 25 31,000 4 2 PRAIRIE LAKE 31-0384P 31 Itasca 9 56 25 33
70,000 1 2 FOX LAKE 46-0109P 46 Martin 30 102 32 5268,175 1 3 MINNESOTA RIVER 19 Dakota 33 27 24 23
1 3 MISSISSIPPI RIVER 27 Hennepin 20 29 24 31 3 MISSISSIPPI RIVER 27 Hennepin 20 29 24 31 3 MISSISSIPPI RIVER 27 Hennepin 20 29 24 31 3 MISSISSIPPI RIVER 27 Hennepin 20 29 24 34 6 69 St Louis 4 51 16 7
1,000 1 3 BUFFALO 14 Clay 58 139 46 4150 4 3 BUFFALO 14 Clay 58 139 46 5
7,000 1 3 ST LOUIS RIVER 69 St Louis 3 57 18 361 6 W TWO RIVER RES 69 St Louis 3 58 18 301 6 MT IRON PIT RES 69 St Louis 3 58 18 33 6 MINNTAC TAILING 69 St Louis 76 59 18 30
940 4 2 WEST BENTON LAKE 47-0054P 47 Meeker 19 118 30 82,000 1 5 42 Lyon 27 111 42 23600 1 3 CANBY CREEK 87 Yellow Medicine 24 114 45 3300 4 5 42 Lyon 27 111 41 5
4,937 1 3 ST CROIX 82 Washington 37 29 20 2700 1 2 OKABENA LAKE 53-0028P 53 Nobles 84 102 40 23
4 2 69 i 34 2 IRON LAKE 69-0152P 69 St Louis 3 60 13 234 3 CROW WING RIVER 49 Morrison 12 133 31 7
12,800 3 6 LANGDON MINE 31 Itasca 9 56 23 1112,800 3 6 MESABI CHIEF 31 Itasca 9 56 22 612,800 3 6 MESABI CHIEF 31 Itasca 9 56 23 112,800 3 6 MESABI CHIEF 31 Itasca 9 56 23 1112,800 3 6 MESABI CHIEF 31 Itasca 9 56 22 1712,800 3 6 MESABI CHIEF 31 Itasca 9 56 23 112,800 3 6 MESABI CHIEF 31 Itasca 9 56 22 212,800 3 6 MESABI CHIEF 31 Itasca 9 56 22 212,800 3 6 MESABI CHIEF 69 St Louis 9 57 21 812,800 1 6 MESABI CHIEF 31 Itasca 9 57 22 2312,800 3 6 MESABI CHIEF 69 St Louis 9 57 21 1812,800 1 6 SECTION 18 MINE 69 St Louis 9 57 21 1812,800 1 6 BENNETT MINE 31 Itasca 9 57 22 2412,800 3 6 MESABI CHIEF 31 Itasca 9 57 22 2212,800 3 6 MESABI CHIEF 69 St Louis 9 57 21 1912,800 1 6 SECTION 18 MINE 69 St Louis 9 57 21 1812,800 1 6 STEVENSON MINE 69 St Louis 9 57 21 812,800 3 6 MESABI CHIEF 31 Itasca 9 57 22 13
Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID County Watershed Twp Rng Section12,800 3 6 MESABI CHIEF 31 Itasca 9 56 22 11,000 4 6 69 St Louis 73 59 18 13
99,999 1 3 MISSISSIPPI RIVER 86 Wright 17 122 25 321 3 RED RIVER OF THE NORTH 14 Clay 57 139 48 71 3 RED RIVER OF THE NORTH 14 Clay 57 139 48 7
1,580 1 5 7 Blue Earth 32 108 27 34850 4 2 HOLMAN LAKE 31-0227P 31 Itasca 9 56 24 26500 1 3 ZUMBRO RIVER S BRANCH 55 Olmsted 41 108 14 36
630,000 1 3 MISSISSIPPI RIVER 25-0017P 25 Goodhue 38 113 15 55,000 4 6 LAKE MINE 69 St Louis 3 58 15 6
4 3 CROWRIVER 27 Hennepin 18 119 24 104,000 1 6 MORTON MINE 69 St Louis 3 57 21 104,000 3 6 69 St Louis 3 57 21 104,000 3 6 69 St Louis 3 57 21 10
4 2 WYNNE LAKE 69-0434P 69 St Louis 3 58 15 6100 4 2 BIG STONE LAKE 06-0152P 6 Big Stone 22 121 46 9
1,000 2 5 14 Clay 60 141 45 71,000 1 2 14 Clay 60 141 45 8500 4 6 69 St Louis 3 51 16 26
25,000 1 3 MISSISSIPPI RIVER 71 Sherburne 17 33 29 1225,000 3 3 MISSISSIPPI RIVER 71 Sherburne 17 33 29 1225,000 3 3 MISSISSIPPI RIVER 71 Sherburne 17 33 29 1225,000 3 3 MISSISSIPPI RIVER 71 Sherburne 17 33 29 121,500 4 3 NOKASIPPI RIVER 18 Crow Wing 10 43 32 271,000 4 3 CANNON RIVER 66 Rice 39 109 21 18
16,000 4 6 SHERMAN MINE 69 St Louis 3 58 20 231 6 69 i 31 6 SAUNTRY RESERVOIR 69 St Louis 3 58 17 54 3 69 St Louis 3 59 12 6
30 4 3 LANGLEY 69 St Louis 72 60 12 29600 1 6 27 Hennepin 20 119 22 24600 3 6 27 Hennepin 20 119 22 23400 4 5 25 Goodhue 38 112 14 1
1,200 4 3 ROOT RIVER 28 Houston 43 104 7 26450 4 6 75 Stevens 23 124 42 13450 4 6 75 Stevens 23 124 42 13450 4 6 75 Stevens 23 124 42 13
30,000 1 3 MISSISSIPPI RIVER 31-0533P 31 Itasca 9 55 25 2130,000 1 3 MISSISSIPPI RIVER 31-0533P 31 Itasca 9 55 25 213,200 58 1 3 ST LOUIS RIVER 9 Carlton 3 49 17 143,200 58 1 3 ST LOUIS RIVER 9 Carlton 3 49 17 148,333 1 3 ST LOUIS RIVER 9 Carlton 3 49 17 131,500 4 3 PENOBSCOTT 69 St Louis 3 57 21 123,000 4 3 SECOND CREEK 69 St Louis 3 59 15 257,500 1 3 MISSISSIPPI RIVER 18 Crow Wing 10 45 30 18
18,500 4 2 BIG STONE LAKE 06-0152P 6 Big Stone 22 121 46 918,500 4 2 BIG STONE LAKE 06-0152P 6 Big Stone 22 121 46 9
Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID County Watershed Twp Rng Section600 5 1 3 MISSISSIPPI RIVER 62 Ramsey 20 28 23 17
6,000 1 6 MILE POST 7 38 Lake 2 55 8 46,000 3 6 38 Lake 2 55 8 42,500 4 6 MAROCO MINE 18 Crow Wing 10 46 29 5500 4 5 86 Wright 17 121 28 31400 1 3 MINNESOTA RIVER 6 Big Stone 22 121 46 2620 4 6 32 Jackson 52 102 35 25
23,500 1 3 MINNESOTA RIVER 7 Blue Earth 28 109 27 3623,500 1 3 MINNESOTA RIVER 7 Blue Earth 28 109 27 3623,500 1 3 MINNESOTA RIVER 7 Blue Earth 28 109 27 3623,500 1 3 MINNESOTA RIVER 7 Blue Earth 28 109 27 3653,000 1 3 MINNESOTA RIVER 12 Chippewa 25 115 39 353,000 1 3 MINNESOTA RIVER 12 Chippewa 25 115 39 353,000 1 3 MINNESOTA RIVER 12 Chippewa 25 115 39 353,000 1 3 MINNESOTA RIVER 12 Chippewa 25 115 39 353,000 1 3 MINNESOTA RIVER 12 Chippewa 25 115 39 353,000 1 3 MINNESOTA RIVER 12 Chippewa 25 115 39 353,000 1 3 MINNESOTA RIVER 12 Chippewa 25 115 39 353,000 1 3 MINNESOTA RIVER 12 Chippewa 25 115 39 353,000 1 3 MINNESOTA RIVER 12 Chippewa 25 115 39 31,000 1 6 23 Fillmore 43 103 9 8
38,900 1 3 MISSISSIPPI RIVER 25 Goodhue 38 113 14 2938,900 1 3 MISSISSIPPI RIVER 25 Goodhue 38 113 14 2938,900 1 3 MISSISSIPPI RIVER 25 Goodhue 38 113 14 2938,900 1 3 MISSISSIPPI RIVER 25 Goodhue 38 113 14 2938,900 1 3 MISSISSIPPI RIVER 25 Goodhue 38 113 14 29
200 4 5 2 k 20200 4 5 2 Anoka 20 32 25 351,600 1 5 19 Dakota 38 114 19 24
1 3 MISSISSIPPI RIVER 27 Hennepin 20 29 24 31 3 MISSISSIPPI RIVER 62 Ramsey 20 28 23 12
1,500 4 6 VICTORIA MINE 69 St Louis 3 58 17 91,000 1 3 ST LOUIS RIVER (ESTUARY) 69 St Louis 3 49 15 23200 1 6 18 Crow Wing 10 46 28 28600 4 3 MISSISSIPPI RIVER 86 Wright 17 122 26 24
2,500 1 6 60 Polk 63 149 44 16500 1 6 MONTICELLO PIT 756 86 Wright 17 122 26 24325 1 2 BLANDIN RESERVOIR 31-0533P 31 Itasca 9 55 25 19
1,500 4 6 31 Itasca 9 56 23 181,000 1 2 LAKE SUPERIOR 16-0001P 38 Lake 2 52 11 1700 1 2 LAKE ORONO 71-0013P 71 Sherburne 17 33 26 33700 1 2 LAKE ORONO 71-0013P 71 Sherburne 17 33 26 33600 4 6 APPLE VALLEY PIT 780 19 Dakota 38 115 20 35
9,722 1 3 MISSISSIPPI RIVER 5 Benton 15 36 31 91,600 1 5 42 Lyon 27 110 43 12200 4 3 MISSISSIPPI RIVER 27 Hennepin 20 29 24 23
64,000 1 3 RAINY RIVER 36 Koochiching 75 71 24 27
Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID County Watershed Twp Rng Section64,000 1 3 RAINY RIVER 36 Koochiching 74 71 24 27166,850 1 3 ST LOUIS RIVER (ESTUARY) 69 St Louis 3 49 14 7166,850 1 3 ST LOUIS RIVER (ESTUARY) 69 St Louis 3 49 14 7166,850 1 3 ST LOUIS RIVER (ESTUARY) 69 St Louis 3 49 14 7166,850 1 3 ST LOUIS RIVER (ESTUARY) 69 St Louis 3 49 14 7166,850 1 3 ST LOUIS RIVER (ESTUARY) 69 St Louis 3 49 14 7166,850 1 3 ST LOUIS RIVER (ESTUARY) 69 St Louis 3 49 14 7166,850 1 3 ST LOUIS RIVER (ESTUARY) 69 St Louis 3 49 14 7166,850 1 3 ST LOUIS RIVER (ESTUARY) 69 St Louis 3 49 14 7
1,500 4 6 MCEWEN-HIGGIN 69 St Louis 3 58 17 41,000 1 2 LAKE SUPERIOR 16-0001P 69 St Louis 3 49 14 5400 4 2 ARGO LAKE 69-0053P 69 St Louis 72 60 12 18625 4 5 PETER MITCHELL MINE 69 St Louis 72 60 12 17625 4 6 PETER MITCHELL MINE 69 St Louis 72 60 13 24625 4 6 PETER MITCHELL MINE 69 St Louis 3 60 13 33
1,200 1 6 34 Kandiyohi 18 122 33 311,500 4 5 8 Brown 29 109 35 321,000 4 7 70-0210P 70 Scott 33 115 23 331,000 1 6 0 71 Sherburne 17 35 30 82,400 1 6 25 Goodhue 38 114 16 26105 4 6 10 Carver 19 116 26 1300 4 5 69 St Louis 4 52 15 22300 4 5 69 St Louis 4 52 15 22
3,200 1 2 LAKE SUPERIOR 16-0001P 69 St Louis 3 49 14 4900 1 6 19 Dakota 38 115 17 35
1,400 1 3 POMME DE TERRE RIVER 26 Grant 23 130 42 2450 1 6 81 32450 1 6 81 Waseca 32 106 22 5450 4 5 59 Pipestone 83 106 44 7500 4 2 STUMP LAKE 73-0091P 73 Stearns 15 124 30 1
22,500 1 3 MISSISSIPPI RIVER 27 Hennepin 20 29 24 2329,050 1 2 SILVER LAKE 69-0662P 69 St Louis 3 58 17 729,050 1 2 SILVER LAKE 69-0662P 69 St Louis 3 58 17 729,050 1 2 SILVER LAKE 69-0662P 69 St Louis 3 58 17 729,050 3 2 SILVER LAKE 69-0662P 69 St Louis 3 58 17 829,050 3 2 SILVER LAKE 69-0662P 69 St Louis 3 58 17 829,050 3 2 SILVER LAKE 69-0662P 69 St Louis 3 58 17 829,050 3 2 SILVER LAKE 69-0662P 69 St Louis 3 58 17 81,250 1 2 LAKE SUPERIOR 16-0001P 38 Lake 2 52 10 61,250 3 2 LAKE SUPERIOR 16-0001P 38 Lake 2 52 10 61,250 3 2 LAKE SUPERIOR 16-0001P 38 Lake 2 52 10 61,250 3 2 LAKE SUPERIOR 16-0001P 38 Lake 2 52 10 62,500 1 2 LAKE SUPERIOR BAY 16-0001P 69 St Louis 3 50 14 342,500 3 2 LAKE SUPERIOR BAY 16-0001P 69 St Louis 3 50 14 342,500 2 2 LAKE SUPERIOR BAY 16-0001P 69 St Louis 3 50 14 342,000 4 3 MISSISSIPPI RIVER 49 Morrison 10 129 29 19600 4 6 33 Kanabec 36 40 24 12
Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID County Watershed Twp Rng Section25,000 1 2 LAKE GEORGE 46-0024P 46 Martin 30 102 30 825,000 1 2 GEORGE LAKE 46-0024P 46 Martin 30 102 30 825,000 1 2 LAKE GEORGE 46-0024P 46 Martin 30 102 30 84,500 4 3 COTTONWOOD 8 Brown 29 109 34 19150 4 3 ZUMBRO RIVER 79 Wabasha 41 109 13 6100 4 5 LITTLE BALSAM CREEK 4 Beltrami 7 147 33 33
3,000 1 6 71 Sherburne 17 33 26 925 4 6 42 Lyon 25 111 43 6
130 4 3 MISSISSIPPI RIVER 62 Ramsey 20 28 22 9300 4 6 69 St Louis 3 50 16 5500 1 3 ST LOUIS RIVER 9 Carlton 3 49 17 13500 1 3 ST LOUIS RIVER 9 Carlton 3 49 17 13150 4 5 18 Crow Wing 10 46 28 29550 1 5 86 Wright 17 121 28 31950 4 5 42 Lyon 25 112 43 31500 1 3 DES MOINES RIVER W BR 17 Cottonwood 51 105 36 16500 4 2 LIME LAKE 51-0024P 51 Murray 51 106 40 28500 4 3 MINNESOTA RIVER 64 Redwood 25 113 35 19
1,000 4 6 17 Cottonwood 51 105 36 16250 4 3 ROCK RIVER 59 Pipestone 83 106 44 7500 4 3 ZUMBRO RIVER MIDDLE BR 25 Goodhue 41 109 15 33550 4 3 CASCADE CREEK 55 Olmsted 41 107 14 33800 1 5 4 Beltrami 7 147 34 32600 4 2 SOLEM LAKE 14-0009P 14 Clay 58 137 44 21500 1 5 86 Wright 18 121 28 22250 1 5 68 49 Morrison 10 41 32 12500 1 5 33 b 36500 1 5 33 Kanabec 36 38 23 9500 3 5 33 Kanabec 36 38 23 9
1,200 1 6 17 Cottonwood 28 107 35 81,000 4 3 ROCK RIVER 67 Rock 83 103 44 19500 4 3 WASHINGTON CREEK 47 Meeker 18 120 29 34
2,000 1 6 66 Rice 39 111 20 322,000 1 5 74 Steele 39 108 20 41,600 1 5 19 Dakota 38 114 19 71,600 1 5 19 Dakota 38 114 19 71,000 1 5 75 Stevens 23 126 41 318,000 1 6 14 Clay 60 142 45 32600 4 2 PINE ISLAND LAKE 10-0167P 1 Aitkin 10 46 27 9
1,200 1 6 69 St Louis 3 57 21 241,200 4 5 69 St Louis 76 60 18 271,320 1 2 LAKE SUPERIOR 16-0001P 38 Lake 2 55 7 6500 1 6 69 St Louis 3 50 16 4200 4 5 73 Stearns 16 122 29 34
1,000 4 5 73 Stearns 17 122 28 293,000 1 5 13 Chisago 37 33 19 20132 4 3 JACK CREEK N BRANCH 53 Nobles 51 104 40 24
Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID County Watershed Twp Rng Section300 4 6 12 Chippewa 25 117 41 10
1,300 1 6 8 Brown 29 109 35 301,300 1 6 8 Brown 29 109 35 30150 4 3 BLUE EARTH RIVER 22 Faribault 30 103 28 10
1,000 4 6 87 Yellow Medicine 25 116 39 20550 4 3 ROOT RIVER N BRANCH 55 Olmsted 43 104 14 5600 4 3 MOOSE HORN 9 Carlton 35 47 19 26
1,000 4 5 48 Mille Lacs 21 41 26 29200 1 5 73 Stearns 16 122 29 34550 4 7 33 Kanabec 36 39 23 2255 4 4 73 Stearns 16 122 30 15
300 4 3 BLUE EARTH RIVER 22 Faribault 30 104 28 31,700 1 6 74 Steele 39 106 20 29960 4 3 ROOT RIVER N BRANCH 55 Olmsted 43 105 14 24900 4 5 21 Douglas 14 127 37 21600 4 3 SAUK RIVER 73 Stearns 16 126 34 22
1,000 4 5 86 Wright 18 121 28 22200 4 3 BLUE EARTH RIVER 7 Blue Earth 30 106 28 27600 1 6 72 Sibley 33 113 26 26900 4 2 SOUTH CLEAR LAKE 17-0041P 17 Cottonwood 51 105 38 33800 1 5 51 Murray 51 106 39 29250 1 5 28 Houston 44 102 5 21
1,500 4 6 55 Olmsted 41 106 14 2461,500 1 2 SILVER LAKE 55 Olmsted 41 107 14 35
750 1 5 PIT 737 19 Dakota 38 115 17 35500 1 5 69 St Louis 4 52 17 11350 4 6 36 hi hi 77350 4 6 36 Koochiching 77 69 26 30450 1 5 5 Benton 17 36 30 26450 1 5 5 Benton 17 36 30 26500 4 3 RUM RIVER 48 Mille Lacs 21 41 26 8800 1 6 67 Rock 83 103 45 36400 1 3 THREE MILE CREEK 42 Lyon 27 111 43 20
1,500 1 5 70 Scott 33 115 21 31200 4 6 39 Lake of the Woods 78 159 34 21
1,000 4 5 3 Becker 56 139 41 161,000 4 5 84 Wilkin 57 134 45 3500 4 5 48 Mille Lacs 21 37 27 12
1,000 1 6 34 Kandiyohi 18 122 34 361,200 4 4 69 St Louis 3 58 17 191,200 1 6 65 Renville 25 114 37 23800 1 5 69 St Louis 4 52 15 22
1,500 4 3 W FORK DES MOINES RIVER 17 Cottonwood 51 106 36 31625 1 3 CANNON RIVER 66 Rice 39 110 20 30400 1 6 25 Goodhue 39 112 15 6400 1 5 19 Dakota 38 114 17 34
2,500 1 6 3 Becker 56 138 43 31
Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID County Watershed Twp Rng Section1,000 1 6 57 Pennington 63 152 44 5300 1 7 21 Douglas 14 130 38 12
1 2 DARK RIVER POND 69 St Louis 76 59 18 30250 4 5 69 St Louis 3 58 18 25800 4 5 71 Sherburne 17 33 27 15600 4 6 43 McLeod 19 117 30 34
3,000 1 6 14 Clay 58 139 46 11,500 1 6 14 Clay 60 141 45 13300 1 5 19 Dakota 39 112 19 2130 4 5 19 Dakota 38 115 17 35
500 4 6 27 Hennepin 18 120 23 164,800 1 5 19 Dakota 38 114 20 14,000 1 3 MISSISSIPPI RIVER 82 Washington 20 27 22 35300 4 3 BIG FORK RIVER 36 Koochiching 77 155 25 36800 1 5 19 Dakota 38 113 20 7
3,000 1 3 MISSISSIPPI RIVER 19-0005P 82 Washington 20 27 22 26800 1 5 19 Dakota 38 27 22 32200 1 3 MISSISSIPPI RIVER 27 Hennepin 20 29 24 23900 1 6 WEST HILL ANNEX PIT 31 Itasca 9 55 25 2300 4 5 19 Dakota 38 114 21 26300 1 5 19 Dakota 38 113 20 7200 1 5 70 Scott 33 114 24 25950 1 5 42 Lyon 25 111 43 6
2,000 4 3 ZUMBRO RIVER 79 Wabasha 41 109 14 11,600 1 6 3 Becker 56 138 43 19400 1 6 58 Pine 35 41 20 28
3 000 1 5 49 i 103,000 1 5 49 Morrison 10 130 29 31800 1 5 73 Stearns 15 125 30 34
1,000 1 5 25 66 Rice 39 110 20 51,000 1 3 WINNEBAGO CREEK 28 Houston 44 101 4 35800 1 6 50 Mower 48 101 18 4
1,000 4 6 23 Fillmore 43 104 8 151,200 1 5 29 Hubbard 8 145 32 85,000 1 6 2 WEST X PIT 69 St Louis 3 59 14 295,000 1 6 AREA 1 PIT 69 St Louis 3 59 15 24550 1 5 71 Sherburne 17 35 30 15500 1 5 50 Mower 48 102 18 2
1,000 1 6 23 Fillmore 43 104 8 16450 1 3 CEDAR RIVER 50 Mower 48 104 18 4800 1 5 34 Kandiyohi 26 121 35 25400 1 6 14 Clay 60 142 45 29
7,000 1 6 PIT 1 31 Itasca 9 56 23 17,000 1 6 PIT 2 31 Itasca 9 56 23 11,500 1 5 72 Sibley 33 113 26 26400 1 6 74 Steele 39 107 20 29600 1 3 MINNESOTA RIVER 12 Chippewa 25 115 39 1
Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID County Watershed Twp Rng Section900 1 6 3 Becker 56 138 43 31450 1 5 82 Washington 37 29 20 22600 1 5 60 Polk 66 150 39 30
1 6 PIT 6 31 Itasca 9 56 23 101 6 DRAPER ANNEX 31 Itasca 9 56 23 101 6 ANN PIT 31 Itasca 9 56 23 11 6 PIT 5 31 Itasca 9 56 23 21 6 SULLIVAN PIT 31 Itasca 9 56 23 2
2,000 1 6 MISSABE MOUNTAIN PIT 69 St Louis 3 58 17 51,000 1 5 29 Hubbard 8 145 32 9600 1 5 19 Dakota 38 113 20 12
1,200 1 6 73 Stearns 17 122 29 352,225 1 5 69 St Louis 73 60 18 23325 1 5 69 St Louis 3 50 17 1
2,400 1 6 19 Dakota 38 114 19 62,400 1 6 19 Dakota 38 114 19 6350 1 5 19 Dakota 38 114 19 9800 1 5 42 Lyon 27 110 43 2
1,000 1 5 19 Dakota 38 113 20 82,000 1 5 19 Dakota 39 112 19 152,000 1 6 66 Rice 39 112 21 34400 1 5 13 Chisago 37 35 20 4
Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003 use_2002 use_2001 use_2000 use_1999million gallons
DB 46,505.0 46,792.0 45,191.2 45,861.6 46,998.9 47,304.0 45,878.4 46,008.0 47,433.6 46,677.8
.0 .0 .0 .0 .0 .0 .0 69.2 2945.7 2864.9
ADCA 529482 5278184 2.8 1.7 1.0 2.1 1.9 2.0 1.9 1.6 1.5 1.3BACC .0 .0 157.2 .0 .0 .0 .0 .0 .0 .0
82.9 61.3 108.8 93.2 117.2 96.1 63.4 60.4 71.4 60.524,235.0 23,381.7 22,698.4 24,039.4 22,458.9 24,132.9 24,261.9 24,061.7 23,851.7 24,163.024,235.0 23,381.7 22,698.4 24,039.4 23,541.8 24,132.9 24,185.4 24,133.9 21,734.0 24,322.5
24.8 252.6 98.7 1.1 21.1 .0 3.4 4.0 51.1 143.3.0 .1 .3 12.0 .4 .1 28.8 41.6 4.3 4.6
11.4 15.8 .0 9.8 .0 .0 .0 .1 17.3 10.0AB 582.8 272.6 435.4 522.6 525.1 525.5 523.6 516.4 474.0 515.4
ADBA .0 .0 .0 .0 .0 .0 .0 1.9 4.4 6.7
CADABCB
CDCD 64,958.2 65,433.3 62,678.0 62,243.4 57,483.9 68,063.8 53,300.7 3,730.5 53,970.3 48,952.2.0 .0 .0 .0 .0 .0 .0 .0 .0 .0
DAAB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
BCBC .0 2.7 3.1 6.3 4.3 6.5 8.5 7.5 6.4 28.6BC
DDD 14.2 16.9 13.8 13.0 15.2 8.9 9.3 3.2 5.3 7.0DDD .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
C .0 .0 .0 .0 .0 .0 .0 .0 .0 .0CAB 14,044.4 13,854.6 14,056.5 13,611.1 14,050.3 14,121.4 12,936.4 14,191.2 13,934.4 13,957.9CAB 14,403.4 13,941.0 13,962.1 13,662.2 14,019.5 14,166.0 12,537.1 14,191.2 13,955.0 14,191.2CAB 13,325.0 11,758.5 14,057.3 13,861.4 14,079.4 12,434.5 14,059.1 14,191.2 13,830.8 13,946.6CAB 13,981.4 11,847.6 13,837.9 13,851.4 13,961.2 12,383.0 14,070.3 14,191.2 13,764.3 13,946.6CAB 101.9 412.0 220.3 86.4 131.9 87.6 52.6 535.9 609.7 194.7CAB 26.0 36.6 38.7 43.4 35.9 30.9 29.8 .0 .0 .0CAB 4,171.2 4,422.3 4,673.9 4,881.5 4,356.8 4,606.9 4,824.4 4,413.1 4,161.1 4,858.4CAB 129.5 75.9 116.2 51.9 115.5 153.5 240.3 273.1 323.9 189.4BC
AA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AB .0 .0 15.7 .0 .0 41.1 .0 .0 .0 .0AB 23,222.9 27,696.6 23,979.1 29,434.0 19,866.2 23,586.5 25,251.1 26,192.5 25,676.6 22,964.8
Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003 use_2002 use_2001 use_2000 use_1999DDA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BC
ABC 13,803.5 12,874.2 12,809.4 14,168.9 12,675.9 12,933.0 11,280.0 12,838.3 13,884.3 12,899.0ADB 88.9 129.5 134.9 121.9 150.7 150.7 134.1 138.4 82.1 103.0CD .0 .0 .0 .0 .0 .0 23.4 24.6 18.1 17.9
BACA 1,608.2 4,192.7 3,632.1 4,590.3 3,118.1 8,091.4 6,910.5 5,354.0 5,643.7 6,559.0DABA 113,102.7 103,586.7 110,767.8 109,286.2 107,842.9 83,422.7 63,439.2 43,717.7 62,297.7 62,549.3
36,858.7 50,359.5 41,446.7 46,042.2 46,163.1 45,198.7 44,608.2 47,253.5 42,126.0 46,051.8.0 .0 .0 .0 .0 .0 .0 .0 .0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0
A .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DCC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
DDDB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0CCDC 532025 5246576 2,335.3 1,653.6 2,737.9 3,318.1 2,400.0 2,550.8 3,811.7 3,118.0 2,835.6 3,265.4
D .0 217.9 .0 .0 .0 .0 .0 .0 .0 .01,285.9 2,519.8 1,407.9 2,159.2 2,068.3 1,209.8 2,634.1 824.5 795.9 811.6
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0CAC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AA .0 .0 .8 3.3 .0 .0 .0 12.9 .0 17.0
ACAC 37.4 19.8 20.7 29.2 27.3 28.5 18.1 21.7 25.9 26.0DC
120,965.5 80,414.5 81,504.1 117,784.2 118,751.8 100,755.7 99,764.2 98,446.6 105,606.4 97,892.5DCA .0 .0 .0 .0 .0 .0 .0 .0 3.9 2.5
0 0 0 0 0 0 0 0 0 0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0CDCCBDA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0CCD .0 .0 .0 .0 .0 .0 1419.2 .0 1794.7 1646.2
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0BDB .0 .0 .0 .0 .0 .0 111.4 190.1 65.9 852.2ABA .0 .0 .0 .0 .0 .0 1292.7 1481.0 1281.6 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0CBA .0 .0 .0 .0 .0 .0 66.4 66.0 247.0 70.0CCD .0 .0 .0 .0 .0 .0 .0 .0 .0 1565.9
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0
Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003 use_2002 use_2001 use_2000 use_1999.0 .0 .0 .0 .0 .0 .0 .0 .0 .0
DD .0 .0 .0 .0 .0 .0 .0 .0 .0 .0ADAA 433425 5020487 121,212.0 109,005.3 124,289.4 116,299.6 126,510.1 116,220.6 125,015.1 107,417.8 117,723.5 126,735.8ADD .0 .0 .0 .1 .0 .0 .0 .0 .0 .0ADD .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AAB 82.1 125.7 130.5 131.2 153.1 107.3 122.6 107.8 110.0 109.9
CDAA 1.4 26.9 143.9 22.1 .0 15.1 20.4 18.6 13.4 50.4ADD 187,435.0 212,766.0 203,141.0 207,650.0 184,630.0 192,790.0 200,408.0 205,615.0 211,164.0 206,843.0AC
BACDAACB 500762 5254220 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0
CBB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DBB 42.3 87.9 78.2 70.9 71.3 76.1 73.5 74.2 76.2 67.4
C .0 .0 6.1 4.6 2.0 7.6 7.4 7.4 7.7 6.7CDC
BDCA 6,810.5 7,261.0 7,191.1 6,885.8 6,740.3 7,150.9 7,701.1 7,375.6 7,852.4 7,608.6BDCA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BDCA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BDCA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0BB
DDD580 8 467 2 0 0 0 467 6 524 5 793 4 731 9 936 2B 580.8 467.2 .0 .0 .0 467.6 524.5 793.4 731.9 936.2
CCB 29.0 16.2 36.1 15.9 34.1 15.6 42.7 46.1 59.5 59.5CD
BBA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0ADD .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
BCCC 4,387.4 4,388.3 3,713.3 4,017.5 4,067.0 3,879.2 2,536.6 2,839.9 .0 .0BCCC 2,702.5 2,425.8 2,362.8 2,129.3 2,021.2 2,549.3 3,813.6 4,201.1 7,985.0 7,826.8CBC 479.6 421.7 485.2 523.7 501.8 516.4 466.6 497.2 536.7 563.2CBC 59.6 64.4 53.8 58.4 45.9 29.6 34.3 47.4 40.2 46.8BC 1,805.2 1,547.4 1,476.1 1,507.4 1,425.3 1,371.0 1,544.7 2,155.5 2,290.0 1,203.7AD
CDA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0CAC 672.2 686.2 743.2 812.7 128.8 492.6 388.5 1,201.4 1,206.0 1,391.0CBB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0CBB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003 use_2002 use_2001 use_2000 use_1999BDDC 115.2 142.5 169.8 189.2 187.0 214.5 161.9 195.5 231.7 246.9
1,634.1 1,174.0 1,374.6 1,352.1 1,337.7 1,122.9 1,151.7 1,001.1 1,246.6 1,214.1.0 .0 .0 .0 .0 .0 .0 .0 .0 .0
ADBA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0D .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
CCB .0 .0 .0 .1 .4 .4 .5 .6 .8 1.1DDD 1,104.7 1,704.6 938.4 1,835.0 1,483.9 2,254.5 986.4 2,123.5 1,319.7 2,426.7DDD 1,026.7 1,857.5 2,105.3 2,151.9 2,297.6 1,042.9 2,518.9 2,050.4 2,497.9 268.8DDD 5,675.9 5,363.4 5,037.6 2,985.1 4,083.4 4,633.1 3,862.1 4,428.6 3,658.1 4,926.1DDD 2.8 4.0 10.0 14.8 12.1 18.8 27.9 35.6 100.5 113.9AABC 300104 4964140 5.4 3.7 2.3 4.5 3.0 58.3 25.5 56.1 131.6 71.2AABC 300104 4964140 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AABC 300104 4964140 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AABC 300104 4964140 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AABC 300104 4964140 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AABC 300104 4964140 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AABC 300104 4964140 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AABC 300104 4964140 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AABC 300104 4964140 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
C .0 .0 .0 .0 .0 .0 .0 .0 .0 .0B 11,170.4 15,256.5 12,783.7 14,800.9 15,570.4 15,042.1 14,845.4 14,611.2 15,255.8 15,380.8
AACB 477.0 557.1 667.0 648.2 768.0 644.7 757.1 770.4 749.9 678.7AACB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AACB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AACB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0CDD
DBCA .0 3.0 19.8 .0 .0 .0 .0 .0 .0 .018,354.6 36,509.5 36,952.7 35,061.1 30,738.4 32,041.8 31,250.1 27,784.0 31,804.0 26,941.328,716.6 30,458.4 44,627.9 46,375.3 48,488.9 51,317.7 49,567.9 48,124.7 48,008.8 44,130.8
DBDDCD 249.7 181.5 118.0 126.4 156.7 259.6 182.0 221.4 203.4 257.2AC .0 .0 .0 .0 .0 .0 .0 27.7 19.7 19.0AD .0 .0 .0 .0 .0 .0 .0 .0 .0 .0ACC 63.2 25.2 80.5 116.7 86.9 86.0 76.0 52.2 112.4 88.6AC .0 10.8 .0 14.2 9.6 17.9 8.2 23.0 29.1 29.2
BDCD .2 .0 5.4 2.8 2.4 5.9 6.8 3.3 3.0 2.1DD
DBBB .0 .0 .0 .0 .0 .0 .0 2.2 3.9 .5CAC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0CAC 2.4 2.1 2.7 2.2 2.3 2.1 1.8 2.5 .0 3.6
B .0 .0 .0 .0 .0 .0 .0 .0 1.2 1.2DBDD 3,363.0 3,671.2 3,637.7 3,628.0 3,577.4 3,714.7 3,533.5 3,482.4 3,493.4 3,409.0DAC .0 .0 .0 .0 .0 .0 .0 .0 13.6 .0
CDA 9,771.0 10,239.0 10,942.0 10,181.0 9,538.6 8,371.3 9,696.1 8,488.0 11,822.0 10,567.0
Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003 use_2002 use_2001 use_2000 use_1999DCCA 5,871.0 5,790.0 5,741.0 6,399.0 7,501.2 7,528.1 8,500.5 7,767.3 6,987.0 7,101.0DDDD 564708 5176068 14,536.5 12,187.4 11,385.0 8,728.8 15,956.3 1.2 2,823.9 8,085.6 6,645.9 2,456.2DDDD 564708 5176068 .0 472.9 5294.4 7434.2 196.0 .0 1159.4 6870.7 5354.0 2223.4DDDD 564708 5176068 5.3 4.5 4.8 4.1 4.9 .0 .5 .9 1.6 .9DDDD 564708 5176068 .0 .0 182.8 .0 .0 .1 .0 .2 .1 .0DDDD 564708 5176068 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DDDD 564708 5176068 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DDDD 564708 5176068 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DDDD 564708 5176068 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0CAA
DDDD .3 .3 .1 .1 .6 .0 2.0 1.7 8.2 .2DAB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0BCCC 48.0 48.0 48.0 43.9 50.0 48.0 49.2 49.5 49.9 46.3DDACDC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0CCD 5.7 184.8 219.0 99.2 94.4 92.3 92.6 82.8 85.5 74.5BAC .0 .0 158.5 52.7 172.1 182.5 196.8 .0 .0 .0
B .0 .0 .0 .0 .0 .0 .0 .0 .0 1.0ADAADA
ADDD 567854 5178616 43.8 57.0 39.2 88.8 51.2 87.3 75.5 86.1 57.6 .0DBC .0 .0 .0 .0 .0 .0 .0 .0 .5 .0
BDCA .0 .0 .0 .0 .0 .0 .0 .0 .0 .029 1 28 5 29 4 29 1 28 8 27 6 29 0 29 3 29 2 29 7BCA 29.1 28.5 29.4 29.1 28.8 27.6 29.0 29.3 29.2 29.7
DD .0 .0 .0 .0 .0 .0 .0 .0 .0 .0CAB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DBB 78.1 57.0 45.9 39.5 44.5 48.0 10.0 .0 .0 .0
DAAA 6,117.0 4,559.6 2,253.8 2,837.4 2,889.0 3,770.1 4,561.5 4,561.5 4,445.2 1,992.1DAAA 2,847.5 2,272.7 1,106.5 1,615.2 743.9 787.7 170.6 170.6 426.6 1,683.5DAAA 117.2 125.8 86.2 98.0 100.8 120.3 120.3 120.3 122.9 143.5CBB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0CBB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0CBB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0CBB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BDC .5 1.5 2.7 .9 .7 .7 .7 .9 218.2 239.8BDC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BDC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BDC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
BCCD 567985 5180249 516.7 459.6 558.6 595.8 448.4 415.2 408.4 409.3 559.7 582.1BCC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
BCCD 567985 5180249 25.1 19.1 18.4 .0 .0 .0 .0 .0 .0 .0ADA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DBC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003 use_2002 use_2001 use_2000 use_1999BBB .0 89.2 20.8 30.5 37.6 12.2 32.7 52.0 23.0 108.3BBB 3.2 47.5 85.6 28.2 26.5 3.2 27.2 58.2 97.1 64.6BBB .0 .0 78.4 146.4 85.2 44.6 55.9 232.0 253.5 300.6AAB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BAC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BDB .0 .0 .0 .0 .0 .0 2.0 .7 1.0 1.0
DDCC 37.6 159.9 138.2 102.9 136.0 97.1 156.8 172.3 204.7 207.2BDADAAB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DDB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
BDCD .4 .4 .3 .4 3.9 1.2 3.1 .0 3.9 4.1BDCD 27.5 22.4 19.0 20.3 34.7 24.0 53.2 67.1 31.8 43.4ACA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BCC .0 .0 .0 .0 .0 .5 49.8 .0 .0 .0
CDDB .0 .0 .0 .0 .0 .0 32.5 23.7 18.4 22.4DCAA .0 .0 .0 .0 .0 .0 .0 7.6 35.7 33.2
D .0 .0 .0 .0 .0 .0 .0 .0 .0 .0ACD .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DCA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DDD .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DD .0 .0 .0 .0 .0 .0 .0 .0 .0 .0ACC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DBC .0 .0 .0 .0 18.0 32.4 21.9 33.2 31.7 27.3CBA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DCA 48.0 48.0 48.0 48.0 48.0 48.0 48.0 48.0 48.0 48.0BCB .5 1.4 2.0 2.1 1.9 1.5 2.0 2.1 1.3 2.2
0 0 0 0 0 7 5 0 0 0 0BAB .0 .0 .0 .0 .0 7.5 .0 .0 .0 .0BAA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DAB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BDA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0CCD .0 .0 .0 .0 .0 .0 .0 .0 .0 .0ABD 42.4 70.6 134.5 98.8 73.6 76.2 70.5 76.6 80.5 70.3CCCC 108.5 130.9 125.0 61.6 81.6 69.5 74.7 78.3 65.7 65.4BCCA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BCCA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
AB 48.4 47.5 57.8 59.3 58.3 68.5 45.7 48.8 53.0 59.7B .0 .0 .0 .0 .0 .0 .0 .0 42.9 156.2
CAB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BCC 46.7 48.4 47.8 42.6 42.0 34.6 35.7 32.8 46.7 44.4ADB .0 49.2 49.0 48.5 47.8 48.7 48.4 47.8 47.2 47.8
AADD 631400 5238050 .0 .0 .0 .0 .0 .0 250.3 182.8 154.1 209.8AD 35.1 36.3 28.2 32.9 35.9 32.8 25.2 25.1 41.1 35.7
ADA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0ABC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
DDCB .0 76.8 85.8 115.2 114.8 6.4 138.2 .4 80.6 65.5ABB
Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003 use_2002 use_2001 use_2000 use_1999ABB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DD .0 .0 .0 .0 .0 .0 .0 17.3 .0 .0DD .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BCC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0CDA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AAB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DCC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0ABD .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
AADD 397902 5021350 5.6 9.6 11.7 10.5 10.6 10.4 10.3 9.4 8.7 8.8ABCAC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
DDD .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DCDB .0 .0 .0 .0 100.5 96.3 122.2 101.7 2.0 69.4AAC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DCD .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AAA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DAB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AAA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AAC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
ACAB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AAD 28.8 39.8 24.7 36.2 36.4 19.9 35.7 34.1 17.8 38.9BB 1.3 1.4 3.5 6.3 9.0 8.5 8.1 7.7 7.7 6.8
BAD .0 .0 .0 .0 .0 .0 .0 19.4 .0 .0DAA 8,046.6 9,562.1 8,269.3 10,405.8 9,717.0 10,383.8 5,486.3 9,136.3 7,864.8 5,698.6ABA .2 1.4 1.4 1.4 1.4 1.4 1.2 1.2 1.2 1.2CBD 28.8 29.6 29.2 30.7 29.8 29.1 26.8 26.3 28.4 28.1
0 0 0 0 0 0 0 0 0 0A .0 .0 .0 .0 .0 .0 .0 .0 .0 .0CDA .0 1.1 1.4 .4 .6 .3 .4 .0 .0 .0CDA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BBA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DCC 19.8 17.4 20.1 20.6 22.2 25.6 17.8 20.4 28.8 24.4CCA .0 .0 .0 .0 .0 22.5 28.8 18.0 18.1 27.1DCB 83.9 85.4 132.1 140.1 139.3 153.1 154.1 123.1 133.6 .0
.0 .0 .0 .0 .0 .0 .0 1.0 40.2 .0CDD .0 .0 .0 .0 .0 .0 .0 6.7 15.6 1.8DBB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0CBD .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AAB .0 .0 .0 .0 .0 .0 .0 .0 .0 37.2CA .0 .0 .0 .0 .0 .0 .0 41.3 62.7 69.1
ADDA 16.0 15.4 15.6 13.4 12.0 .0 14.5 .0 30.6 57.6DCA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BABB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
BD 1.9 3.8 2.9 2.4 2.2 2.3 2.9 .4 2.5 2.5DAC 15.5 .0 .5 .0 .0 .0 .0 .0 .0 .0CA .0 .0 .0 .0 .0 .0 21.6 10.6 7.3 20.2
DACA 258766 5179235 32.8 60.4 51.6 36.2 .0 .0 2.6 18.1 .0 .0
Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003 use_2002 use_2001 use_2000 use_1999ADD 10.3 12.0 10.3 6.3 12.3 12.3 13.5 15.2 16.9 .0DCB 12.9 10.9 15.9 15.7 16.0 12.6 .0 .0 .0 .0DCC 2.7 3.2 3.8 4.1 3.5 3.2 2.4 2.4 7.1 6.3AC .0 .0 .0 .0 .0 .0 .0 10.4 .4 .4
CAD .0 .0 .0 .0 .0 22.6 34.3 29.8 22.3 26.2AA .0 .0 .0 .0 .0 .0 .0 .0 .0 32.4
BBDA 238183 5198454 23.6 34.2 22.0 35.2 35.2 140.0 88.1 77.9 55.8 .0AAB .0 28.1 22.7 43.8 43.2 12.2 23.3 7.3 .0 .0
C .0 .0 .0 .0 .0 .0 .0 .0 .0 .0ABC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0AD .0 17.0 17.0 15.5 15.0 14.5 14.5 11.4 5.4 .0ACB 58.3 95.2 102.1 116.4 116.8 120.7 180.1 81.6 144.9 .0AAA 284.0 354.0 396.0 398.4 398.4 412.0 360.0 564.5 643.2 .0CDB .0 .0 5.5 6.5 6.5 6.5 7.2 .0 .0 .0BAC .0 .0 .0 .0 .0 7.8 7.8 .1 .0 .0ABC 72.2 119.4 100.8 67.7 10.3 142.2 6.1 .0 .0 .0ACA 5.3 .8 .0 .0 1.3 .0 4.7 .0 .0 .0
DDBA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BBC .0 .0 .0 27.2 21.6 .0 .0 .0 .0 .0AC .0 .0 .0 .0 13.5 8.4 9.7 .0 .0 .0
ADA .0 .0 .0 .0 .0 4.0 .0 .0 .0 .0CA .0 .0 .9 .0 .0 1.6 .0 .0 .0 .0
DDA 17.8 20.8 18.5 20.2 21.5 15.9 .0 .0 .0 .0AB .0 .0 .0 .0 .0 5.9 .0 .0 .0 .0
DAC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0ACC 3.9 9.3 24.3 10.3 13.6 .0 .0 .0 .0 .0
392953 5097428 9 8 72 7 104 7 51 6 57 5 68 5 33 3 0 0 0CDBD 392953 5097428 9.8 72.7 104.7 51.6 57.5 68.5 33.3 .0 .0 .0BCDA 387299 5050067 .0 .0 6.7 9.0 8.1 5.0 .9 .0 .0 .0CABA .0 .0 .0 .0 7.1 .0 .0 .0 .0 .0CDB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BBA .0 .0 .0 .0 7.2 .0 .0 .0 .0 .0CB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
BAA .0 .0 .0 40.6 .0 .0 .0 .0 .0 .0BDC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BDB 817.0 .0 .0 .0 .0 .0 .0 .0 .0 .0DBB 40.6 8.1 43.0 15.0 .0 .0 .0 .0 .0 .0DCC 12.5 .0 .0 20.7 21.9 .0 .0 .0 .0 .0DA .0 .0 12.5 7.1 .0 .0 .0 .0 .0 .0
BDBA 4.8 4.3 2.0 6.4 .0 .0 .0 .0 .0 .0DBCB 341568 5013655 71.6 77.0 55.4 6.1 .0 .0 .0 .0 .0 .0
BB 2.3 .0 2.3 .1 .0 .0 .0 .0 .0 .0AC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0CB .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
ABA 18.3 15.8 27.2 33.0 20.2 .0 .0 .0 .0 .0CBB 8.6 14.4 8.6 .0 .0 .0 .0 .0 .0 .0CBC 115.3 108.4 .0 .0 .0 .0 .0 .0 .0 .0
Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003 use_2002 use_2001 use_2000 use_1999ACBD 258338 5179679 42.8 .0 .0 .0 .0 .0 .0 .0 .0 .0AAA 32.1 3.6 .0 .0 .0 .0 .0 .0 .0 .0
CDAA 297834 5295271 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0D .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
CD .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BA .0 .0 .0 .0 .0 .0 .0 .0 .0 .0D .0 .0 .0 .0 .0 .0 .0 .0 .0 .0
CC .0 .0 .0 .0 .0 .0 .0 .0 .0 .0DC 422.2 .0 .0 .0 .0 .0 .0 .0 .0 .0
CABB 367884 5249713 16.8 .0 .0 .0 .0 .0 .0 .0 .0 .0CADD 486625 4939149 28.7 .0 .0 .0 .0 .0 .0 .0 .0 .0DCDB 398967 5020278 3.8 .0 .0 .0 .0 .0 .0 .0 .0 .0CDDB 530461 5278997 88.7 49.2 .0 .0 .0 .0 .0 .0 .0 .0BDAC 542673 5188264CBDD 487993 4950468 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0CDBB 488044 4950326 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BBCB 490878 4949750 6.5 .0 .0 .0 .0 .0 .0 .0 .0 .0CDBA 261579 4916189 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0BCBD 479667 4939822BBC
AACC 474016 4924004ABDA 512260 5044600
use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_1988
47,299.8 47,304.0 44,452.8 46,641.0 1,543.7 1,548.0 39,775.0 44,145.6 31,536.0 1123.0 .0
3044.4 3441.0 3352.0 3318.2 4050.0 4695.8 5260.4 4694.7 4415.1 5180.4 5632.2
1.2 1.3 1.3 1.4 1.3 1.0 .7 1.1 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
58.5 54.9 73.0 51.3 37.0 45.0 30.9 13.3 13.4 14.9 19.723,941.9 23,269.5 23,371.7 18,406.7 22,648.8 23,787.5 20,820.2 20,067.5 19,095.1 12988.6 5,836.324,155.4 23,269.5 22,933.7 22,767.8 22,677.2 24,381.0 6,871.8 17,704.6 20,003.8 24830.8 19,563.9
4.0 26.7 51.9 2.3 3.1 .0 .1 .0 .9 4.6 65.314.2 20.4 26.6 2.7 .4 .4 .0 .0 .0 28.3 1.33.4 1.4 5.3 .2 510.7 .4 .0 .0 .7 5.6 .1
524.6 525.5 504.1 518.9 .0 525.6 527.0 519.8 514.9 510.1 402.8
9.6 11.9 9.8 .0 13.0 5.6 4.9 7.3 .0 11.5 8.8
53,898.7 41,480.9 31,029.6 45,537.7 51,374.3 54,127.6 41,206.8 13,665.0 .0 0.0 .0.0 .0 .0 .0 .2 .2 .2 .6 .1 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.8 34.2 55.7 40.0 57.8 29.1 .0 34.6 24.7 18.0 26.4
6.8 8.2 6.6 7.5 6.1 7.4 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 80.9 36.7 30.5 30.2 26.8.0 .0 45.3 .0 .0 .0 .0 .0 .0 0.0 .0
13,182.7 13,987.2 13,905.5 11,815.5 14,044.4 13,998.4 11,286.5 13,847.8 13,671.2 10149.3 11,100.212,388.9 13,985.8 13,881.8 12,510.3 14,087.2 14,032.4 9,439.7 12,587.4 10,894.5 11301.1 4,665.613,925.7 12,856.9 13,951.8 14,039.9 13,828.5 13,974.1 11,654.3 8,791.7 13,941.7 10361.5 13,919.013,710.1 12,028.3 13,957.9 13,995.5 13,820.5 14,024.3 9,941.9 7,850.5 10,706.6 10508.9 7,094.0
617.4 477.4 32.5 111.2 122.1 54.4 48.1 10.4 27.0 63.0 12.3.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
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.0 .0 2.1 .0 .0 .0 .0 .0 10.9 2.8 4.923,640.5 18,268.7 13,694.6 14,006.1 16,864.6 14,517.0 6,434.2 9,246.5 9,303.6 11275.4 4,063.8
use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_1988.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
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6,627.2 9,775.4 11,763.8 15,140.1 12,190.5 8,262.8 9,442.1 14,198.8 12,088.1 9825.7 12,258.263,002.1 45,747.6 51,495.3 62,706.4 63,532.8 60,942.1 47,461.3 41,450.6 44,897.3 40164.3 54,513.842,608.4 40,158.9 42,563.5 35,270.2 35,628.5 35,528.7 34,326.0 30,811.9 38,052.0 38531.8 36,652.4
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171.1 .0 895.2 407.5 764.3 1190.2 1015.9 509.3 860.1 907.2 904.2.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_1988.0 .0 .0 .0 .0 .0 .0 .0 482.9 11938.0 13126.4.0 .0 .0 .0 .0 .0 .0 .0 .0 21.7 23.8
122,821.4 104,278.3 111,824.2 123,242.7 113,494.3 118,653.8 143,449.4 111,169.4 128,961.3 94406.7 129,675.9.0 .0 .1 .1 .1 .0 .1 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
99.8 93.0 74.1 80.7 90.1 95.8 75.8 75.1 67.7 69.7 84.6
38.6 41.2 49.1 66.5 .0 18.8 27.5 21.6 22.5 21.5 23.7182,611.0 156,890.0 167,220.0 187,190.0 199,105.0 172,320.0 166,524.0 184,030.0 163,000.0 177448.0 159,300.0
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8,044.6 7,430.0 7,254.3 7,424.9 7,747.1 7,592.3 8,049.7 10,169.5 8,356.1 0.0 7,886.0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 8003.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
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45.2 45.1 62.1 68.3 65.4 50.0 15.3 12.7 20.5 31.8 20.6
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.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_1988213.3 236.6 171.0 215.2 235.4 209.4 84.8 44.7 57.5 66.6 76.0
1,164.0 1,536.0 1,272.6 1,316.2 1,443.7 1,419.5 1,593.0 1,061.1 1,592.1 1600.4 1,687.5.0 .0 .0 .0 .0 .0 .0 .0 .0 794.9 .0
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.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
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2,574.9 1,962.5 1,167.3 1,391.4 2,239.1 1,599.3 1,808.0 .0 .0 0.0 .04,128.1 4,104.9 3,884.8 4,009.7 716.4 1,788.6 3,287.6 .0 .0 0.0 .0131.8 43.5 10.4 2.2 .0 19.5 8.7 .0 .0 0.0 .0362.6 88.0 350.9 2,840.3 3,775.5 3,475.5 2,034.1 2,665.3 2,701.3 1802.3 1,275.9
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257.2 261.3 315.0 420.1 347.9 489.7 512.6 136.5 142.1 144.4 145.514.0 14.0 16.5 16.5 16.5 16.5 16.5 16.5 11.9 11.9 11.9
.0 .0 .0 .0 .0 .0 8.7 8.9 5.7 6.5 16.397.9 75.2 54.8 34.8 37.3 26.2 41.1 31.9 101.9 339.0 339.015.4 16.5 9.4 10.2 15.4 9.3 .0 .0 .0 0.0 .04.2 2.8 12.2 14.3 8.1 3.1 3.3 3.4 50.0 27.4 25.7
.2 .2 .3 .3 .3 .2 .2 .4 1.8 3.1 1.8
.0 .0 .0 .0 1.9 1.8 2.2 1.3 1.2 1.1 4.12.1 1.5 1.4 1.9 .0 .0 .0 .0 .0 0.0 .01.2 1.2 1.2 1.8 .0 .0 .0 .0 .0 0.0 .0
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11,494.0 9,841.0 9,269.0 7,309.5 7,106.1 9,403.9 12,428.1 7,521.6 16,018.3 15081.7 16,038.8
use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_19885,544.0 7,259.0 7,000.0 7,749.1 7,983.4 7,250.5 8,198.1 7,629.7 .0 0.0 .01,862.9 230.1 138.1 .0 9.7 33.9 .0 .0 .0 0.0 .0675.9 .0 .0 .0 9.7 .0 .0 .0 .0 0.0 .0
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.0 .0 .0 .0 .0 1.8 1.9 1.9 1.8 1.8 .9
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.0 .0 .0 .0 .0 .0 .0 .0 .0 216.2 .0
.0 12.9 21.4 25.6 .0 21.0 38.3 29.9 630.7 630.7 630.7
.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_198849.0 13.7 17.0 11.1 10.6 22.9 9.1 3.0 1.1 1909.4 2100.574.6 15.9 .0 6.0 8.4 29.1 .0 43.6 1.8 0.0 .0
273.7 15.0 .0 23.9 75.6 101.8 100.9 551.3 907.1 0.0 .0.0 .6 .5 12.5 1.4 27.6 .0 .0 .4 1.1 4.4.0 5.8 .0 2.7 5.0 7.8 4.9 5.0 5.4 5.3 7.7
1.0 1.0 .9 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0124.5 103.8 200.7 58.4 28.0 31.1 27.6 16.5 29.9 0.0 7.7
.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
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56.6 28.4 29.6 24.0 13.9 17.6 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 13.7 13.3 .0.6 48.7 37.3 24.6 30.4 44.8 24.7 25.4 10.8 36.5 .0
44.4 47.9 12.2 11.5 16.8 41.8 20.5 18.4 8.9 4.0 .027.0 32.6 34.6 33.8 34.9 22.4 34.4 16.8 28.6 25.9 .0
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62.9 73.2 59.2 57.7 107.3 100.7 100.7 88.2 92.4 0.0 .063.4 58.4 54.9 73.2 137.5 127.4 127.4 91.6 88.2 0.0 .0
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135.9 69.2 72.9 84.6 102.7 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
36.4 24.8 23.5 19.1 43.8 26.3 22.5 .0 .0 0.0 .048.0 48.4 49.0 46.7 48.4 46.7 48.7 31.0 .0 0.0 .087.8 105.4 8.8 122.7 8.8 61.1 81.6 57.0 .0 0.0 .031.4 22.1 37.9 39.8 46.3 35.2 37.6 18.6 .0 0.0 .0
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.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .097.4 88.1 87.6 60.6 69.3 55.4 23.6 .0 .0 0.0 .0
use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_1988.0 .0 .0 .0 .0 .0 .0 .0 11.1 0.0 .0.0 .0 .0 25.7 .0 .0 .0 .2 .0 0.0 .0.0 .0 .0 .0 31.2 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 10.0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 8.9 .0 0.0 .08.7 8.4 9.4 9.8 9.8 9.9 10.4 .0 .0 0.0 .0
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120.8 19.0 .0 1.9 4.3 .0 .0 .0 .0 0.0 .05,261.1 5,073.0 6,528.5 5,180.6 5,136.4 2,526.5 3,934.0 5,917.0 3,782.0 6310.0 8,165.0
1.2 8.9 16.7 13.3 26.0 .0 .0 .0 .0 0.0 .028.9 24.4 24.7 18.6 28.4 26.7 .0 .0 .0 0.0 .0
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27.3 29.1 22.4 29.1 29.8 .0 .0 .0 .0 0.0 .024.8 16.5 8.4 19.2 11.5 .0 .0 .0 .0 0.0 .0
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.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .013.8 3.8 .0 10.6 .0 .0 .0 .0 .0 0.0 .0
.0 .0 5.8 3.4 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 27.0 .0 .0 .0 .0 .0 0.0 .02.8 3.0 .4 .0 .0 .0 .0 .0 .0 0.0 .08.6 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .052.8 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.6 6.1 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_1988.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .00 0 0 0 0 0 0 0 0 0 0 0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_1988.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
Appendix E – b. MN DNR Water Quantities from Surface Water for Major Crops Uses
Permit Installation Permittee Use ID Usename CategoryMN DNR Waters All Appropriation Permits Sorted by Permit Number 9/1/2009
1948-0071 1 OLSON, NANCY L AND MAUREEN E JOHNSON 290 Major Crop Irrigation Major Crop Irrigation1950-0047 1 WHITNEY LAND CO 290 Major Crop Irrigation Major Crop Irrigation1950-0049 1 HOULTON OLSON FAMILY LLLP 290 Major Crop Irrigation Major Crop Irrigation1950-0063 1 FAIRMONT CANNING CO 290 Major Crop Irrigation Major Crop Irrigation1950-0116 1 BRENNAN, ED 290 Major Crop Irrigation Major Crop Irrigation1950-0149 1 HARNDEN, E C 290 Major Crop Irrigation Major Crop Irrigation1951-0033 1 WOLHART, LYLE 290 Major Crop Irrigation Major Crop Irrigation1951-0126 1 BOUSHEY, THOMAS 290 Major Crop Irrigation Major Crop Irrigation1952-0055 1 PROULX, RICHARD W 290 Major Crop Irrigation Major Crop Irrigation1952-0062 1 WHEELER, MIKE 290 Major Crop Irrigation Major Crop Irrigation1952-0115 1 HORN FARMS INC, PAUL 290 Major Crop Irrigation Major Crop Irrigation1952-0201 1 BREKKE BROTHERS INC 290 Major Crop Irrigation Major Crop Irrigation1953-0031 1 WEEK, NORMAN A 290 Major Crop Irrigation Major Crop Irrigation1953-0149 1 LANGSETH, RODNEY 290 Major Crop Irrigation Major Crop Irrigation1954-0004 1 RENSTROM, TIM 290 Major Crop Irrigation Major Crop Irrigation1954-0072 1 MALLINGER BROTHERS 290 Major Crop Irrigation Major Crop Irrigation1954-0098 1 SWIFT, MRS JAMES D 290 Major Crop Irrigation Major Crop Irrigation1954-0200 1 BOERNER, CLIFFORD G 290 Major Crop Irrigation Major Crop Irrigation1954-0211 1 SCHUMACHER, DEAN S 290 Major Crop Irrigation Major Crop Irrigation1955-0016 1 BOWMAN, GEORGE M 290 Major Crop Irrigation Major Crop Irrigation1955-0020 1 HOUG BROTHERS 290 Major Crop Irrigation Major Crop Irrigation1955-0022 1 GOLDBERG, MAX 290 Major Crop Irrigation Major Crop Irrigation1955-0035 1 JOHNSON, IRIS O 290 Major Crop Irrigation Major Crop Irrigation1955-0082 1 MOLL, MARVIN R 290 Major Crop Irrigation Major Crop Irrigation1955-0105 1 PUTNAM, HERB 290 Major Crop Irrigation Major Crop Irrigation1955-0125 1 HAUGEN, DOUGLAS C 290 Major Crop Irrigation Major Crop Irrigation1955-0130 1 RATHS, RUDOLPH 290 Major Crop Irrigation Major Crop Irrigation1955-0133 1 SAARLOOS, CALVIN & BETTY 290 Major Crop Irrigation Major Crop Irrigation1955-0134 1 WYLAND, RODNEY 290 Major Crop Irrigation Major Crop Irrigation1955-0141 1 JANISZESKI, LOUIS 290 Major Crop Irrigation Major Crop Irrigation1955-0207 1 FRITON, O LLOYD 290 Major Crop Irrigation Major Crop Irrigation1955-0246 1 BANKS, THOMAS 290 Major Crop Irrigation Major Crop Irrigation1955-0275 1 HICKOK, EUGENE H 290 Major Crop Irrigation Major Crop Irrigation1956-0030 1 JOVAAG, ARVID 290 Major Crop Irrigation Major Crop Irrigation1956-0031 1 HORTICULTURAL RES 290 Major Crop Irrigation Major Crop Irrigation1956-0034 1 GRUBE, KINSLER 290 Major Crop Irrigation Major Crop Irrigation1956-0084 1 JOVAAG, ARVID 290 Major Crop Irrigation Major Crop Irrigation1956-0124 1 VANDERKOOI, BENJAMIN 290 Major Crop Irrigation Major Crop Irrigation1956-0126 1 GRINDE, JON 290 Major Crop Irrigation Major Crop Irrigation1956-0132 1 RIVERSIDE FARMS 290 Major Crop Irrigation Major Crop Irrigation1956-0168 1 RENOLLET, QUENETTE LARAE 290 Major Crop Irrigation Major Crop Irrigation1956 0182 1 SIEMSEN HAROLD J 290 Major Crop Irrigation Major Crop Irrigation1956-0182 1 SIEMSEN, HAROLD J 290 Major Crop Irrigation Major Crop Irrigation1956-0201 1 LENK, LOUIS 290 Major Crop Irrigation Major Crop Irrigation1956-0204 1 DECHENE CORP 290 Major Crop Irrigation Major Crop Irrigation1956-0212 1 U OF MN 290 Major Crop Irrigation Major Crop Irrigation1956-0233 1 AMBUEHL, MARVIN 290 Major Crop Irrigation Major Crop Irrigation1956-0242 1 SCHILLING, CHARLES 290 Major Crop Irrigation Major Crop Irrigation1956-0246 1 DOMBECK, MARK S 290 Major Crop Irrigation Major Crop Irrigation1956-0294 1 DREYER, WILLIAM 290 Major Crop Irrigation Major Crop Irrigation1956-0296 1 EBELTOFT & FISCHER 290 Major Crop Irrigation Major Crop Irrigation1956-0325 1 CLARK, CLIFFORD 290 Major Crop Irrigation Major Crop Irrigation1957-0052 LAKE REENTS, D GARY 290 Major Crop Irrigation Major Crop Irrigation1957-0062 1 LENK, LOUIS 290 Major Crop Irrigation Major Crop Irrigation1957-0166 1 MATTISON, ARLO 290 Major Crop Irrigation Major Crop Irrigation1957-0188 1 FAHLAN, ARNOLD 290 Major Crop Irrigation Major Crop Irrigation1957-0214 1 MCCARTHY, ROBERT S 290 Major Crop Irrigation Major Crop Irrigation1958-0217 1 GUNDERSON, BENJAMEN 290 Major Crop Irrigation Major Crop Irrigation1958-0233 1 FRAHN, STANLEY D 290 Major Crop Irrigation Major Crop Irrigation1958-0263 1 KENNEDY, WILLIAM 290 Major Crop Irrigation Major Crop Irrigation1958-0343 1 ROBINSON, ALVA 290 Major Crop Irrigation Major Crop Irrigation1958-0389 1 ANDERSON, ROGER D 290 Major Crop Irrigation Major Crop Irrigation1959-0006 1 FRIEDRICHS, ROBERT L 290 Major Crop Irrigation Major Crop Irrigation1959-0132 1 RIOPELLE, WALLACE 290 Major Crop Irrigation Major Crop Irrigation1959-0133 1 CLARK, DENNIS 290 Major Crop Irrigation Major Crop Irrigation1959-0167 1 SKOGMAN, DEANE T 290 Major Crop Irrigation Major Crop Irrigation1959-0223 1 KRUCKMAN, G O 290 Major Crop Irrigation Major Crop Irrigation1959-0247 1 BRENNAN, AL 290 Major Crop Irrigation Major Crop Irrigation1959-0324 1 BALDWIN, RICHARD 290 Major Crop Irrigation Major Crop Irrigation1959-0506 1 ZINTER, RICHARD 290 Major Crop Irrigation Major Crop Irrigation1959-0557 1 ELSING, GERMAINE 290 Major Crop Irrigation Major Crop Irrigation1959-0571 1 HENDRICKSON, VIRGIL 290 Major Crop Irrigation Major Crop Irrigation
Permit Installation Permittee Use ID Usename Category1959-0738 1 BENSON, LELAND 290 Major Crop Irrigation Major Crop Irrigation1960-0020 1 BAUER, JOHN J 290 Major Crop Irrigation Major Crop Irrigation1960-0113 1 ENESTVEDT BROTHERS 290 Major Crop Irrigation Major Crop Irrigation1960-0113 2 ENESTVEDT BROTHERS 290 Major Crop Irrigation Major Crop Irrigation1960-0253 1 MIDDLEWEST INVESTMENT 290 Major Crop Irrigation Major Crop Irrigation1960-0318 1 TABBUT, E M 290 Major Crop Irrigation Major Crop Irrigation1960-0363 1 PASKEWITZ, DEAN & LARRY 290 Major Crop Irrigation Major Crop Irrigation1960-0462 1 WILLIAMS, RICK 290 Major Crop Irrigation Major Crop Irrigation1960-0562 1 MILLER, JAMES A 290 Major Crop Irrigation Major Crop Irrigation1960-0601 1 EWING & SONS, DERALD 290 Major Crop Irrigation Major Crop Irrigation1960-0872 1 ANGSTMAN, S E 290 Major Crop Irrigation Major Crop Irrigation1961-0009 1 CRAWFORD, JOE 290 Major Crop Irrigation Major Crop Irrigation1961-0009 2 CRAWFORD, JOE 290 Major Crop Irrigation Major Crop Irrigation1961-0062 1 SPOKELY, RODNEY 290 Major Crop Irrigation Major Crop Irrigation1961-0107 1 NADEAU, LAWRENCE 290 Major Crop Irrigation Major Crop Irrigation1961-0128 1 ADELMANN, WILLIAM R 290 Major Crop Irrigation Major Crop Irrigation1961-0128 2 ADELMANN, WILLIAM R 290 Major Crop Irrigation Major Crop Irrigation1961-0288 1 RAASCH, ROBERT P 290 Major Crop Irrigation Major Crop Irrigation1961-0306 1 LEHIGH PORTLAND CEMENT CO 290 Major Crop Irrigation Major Crop Irrigation1961-0360 1 EWING & SONS, VERLE 290 Major Crop Irrigation Major Crop Irrigation1961-0588 1 CARLSON, WARREN H 290 Major Crop Irrigation Major Crop Irrigation1961-0596 1 BAYERL, ROBERT 290 Major Crop Irrigation Major Crop Irrigation1961-0597 1 MASONICK, EULALIA 290 Major Crop Irrigation Major Crop Irrigation1961-0618 1 JOHNSON, J BURTON 290 Major Crop Irrigation Major Crop Irrigation1961-0627 1 CADA, JAMES F 290 Major Crop Irrigation Major Crop Irrigation1961-0627 2 CADA, JAMES F 290 Major Crop Irrigation Major Crop Irrigation1961-0627 3 CADA, JAMES F 290 Major Crop Irrigation Major Crop Irrigation1961-0719 1 KOTERBA, JOHN J 290 Major Crop Irrigation Major Crop Irrigation1961-0814 1 HVIDSTEN, EARL N 290 Major Crop Irrigation Major Crop Irrigation1961-0820 1 FURUSETH, JULIUS 290 Major Crop Irrigation Major Crop Irrigation1961-0838 1 FUNKHOUSER, GLORIA 290 Major Crop Irrigation Major Crop Irrigation1961-0904 1 D G HUMMINGBIRD HOLDINGS 290 Major Crop Irrigation Major Crop Irrigation1962-0042 1 HOWARD, ARTHUR L 290 Major Crop Irrigation Major Crop Irrigation1962-0042 2 HOWARD, ARTHUR L 290 Major Crop Irrigation Major Crop Irrigation1962-0043 1 HOWARD, HARRY C 290 Major Crop Irrigation Major Crop Irrigation1962-0131 1 KALLOCK BROTHERS 290 Major Crop Irrigation Major Crop Irrigation1962-0131 2 KALLOCK BROTHERS 290 Major Crop Irrigation Major Crop Irrigation1962-0183 1 ANDERSON, WALDIE 290 Major Crop Irrigation Major Crop Irrigation1962-0224 1 PETERSON, HARRIS A 290 Major Crop Irrigation Major Crop Irrigation1962-0313 1 REENTS, D GARY 290 Major Crop Irrigation Major Crop Irrigation1962-0314 1 GARBER, DON K 290 Major Crop Irrigation Major Crop Irrigation1962-0329 1 WELBERG FARMS 290 Major Crop Irrigation Major Crop Irrigation1963-0011 1 BUSCHO, HAROLD 290 Major Crop Irrigation Major Crop Irrigation1963-0308 1 BERKNER, EDWARD 290 Major Crop Irrigation Major Crop Irrigation1963 0454 1 MORRAN WALTER 290 Major Crop Irrigation Major Crop Irrigation1963-0454 1 MORRAN, WALTER 290 Major Crop Irrigation Major Crop Irrigation1963-0621 1 AHLERS, BERNARD SR 290 Major Crop Irrigation Major Crop Irrigation1963-0675 1 JOHNSON, DONALD W 290 Major Crop Irrigation Major Crop Irrigation1963-0686 1 WESTERGREN, WAYNE 290 Major Crop Irrigation Major Crop Irrigation1963-0726 1 PERSON, RUTHMARY 290 Major Crop Irrigation Major Crop Irrigation1963-0865 1 MOLNAU, R G 290 Major Crop Irrigation Major Crop Irrigation1963-1058 1 MUNKBERG FARMS INC 290 Major Crop Irrigation Major Crop Irrigation1964-0190 1 JOHNSON, NORMAN 290 Major Crop Irrigation Major Crop Irrigation1964-0275 1 HERSETH, ALVINA 290 Major Crop Irrigation Major Crop Irrigation1964-0310 1 CARTER, RUSSELL C 290 Major Crop Irrigation Major Crop Irrigation1964-0316 1 BARND, ROBERT E 290 Major Crop Irrigation Major Crop Irrigation1964-0316 2 BARND, ROBERT E 290 Major Crop Irrigation Major Crop Irrigation1964-0385 1 ZIMMERMAN, GORDON R 290 Major Crop Irrigation Major Crop Irrigation1964-0564 1 LARSON, GEORGE W 290 Major Crop Irrigation Major Crop Irrigation1964-0645 1 MCLEVIS, RONALD & LORRAIN 290 Major Crop Irrigation Major Crop Irrigation1964-0651 1 HOESE, MYRON 290 Major Crop Irrigation Major Crop Irrigation1964-0680 1 LARSON, BERNARD A 290 Major Crop Irrigation Major Crop Irrigation1964-0680 2 LARSON, BERNARD A 290 Major Crop Irrigation Major Crop Irrigation1964-0703 2 OLSON FARMS 290 Major Crop Irrigation Major Crop Irrigation1964-0733 1 PASKEWITZ, BRUCE 290 Major Crop Irrigation Major Crop Irrigation1964-0776 1 VAN MOVERAN, DALE 290 Major Crop Irrigation Major Crop Irrigation1964-0788 1 1ST BANK OF PEORIA 290 Major Crop Irrigation Major Crop Irrigation1964-0806 1 JOVAAG, ARVID 290 Major Crop Irrigation Major Crop Irrigation1964-0849 1 MCCALL BROTHERS 290 Major Crop Irrigation Major Crop Irrigation1964-0852 1 GERBER, ROBERT 290 Major Crop Irrigation Major Crop Irrigation1964-0900 1 KORTLEEVER, WILBUR 290 Major Crop Irrigation Major Crop Irrigation1964-0909 1 RAYNEN, HENRY 290 Major Crop Irrigation Major Crop Irrigation1964-1015 1 ENESTVEDT, JOHN 290 Major Crop Irrigation Major Crop Irrigation1964-1061 1 HILDEN, GLEN L 290 Major Crop Irrigation Major Crop Irrigation1964-1061 2 HILDEN, GLEN L 290 Major Crop Irrigation Major Crop Irrigation1964-1079 1 FAWN CREEK FARMS 290 Major Crop Irrigation Major Crop Irrigation1964-1223 1 COLE, CLOUD E 290 Major Crop Irrigation Major Crop Irrigation
Permit Installation Permittee Use ID Usename Category1965-0046 1 SWANSON, CLARENCE E 290 Major Crop Irrigation Major Crop Irrigation1965-0182 1 DOUGLAS, ROBERT 290 Major Crop Irrigation Major Crop Irrigation1965-0316 1 MCGOUGH, M J 290 Major Crop Irrigation Major Crop Irrigation1965-0337 1 SCHREIBER, LAWRENCE 290 Major Crop Irrigation Major Crop Irrigation1965-0361 PIT STINARS SHADY OAK NURSERY 290 Major Crop Irrigation Major Crop Irrigation1965-0450 1 PATTEN, MARVIN 290 Major Crop Irrigation Major Crop Irrigation1965-0544 1 BERNDT, G CRESWELL 290 Major Crop Irrigation Major Crop Irrigation1965-0594 1 NEAL FARMS 290 Major Crop Irrigation Major Crop Irrigation1965-0670 1 PATRICK, CLARENCE 290 Major Crop Irrigation Major Crop Irrigation1965-0862 1 SHERMAN, VANCE D 290 Major Crop Irrigation Major Crop Irrigation1965-0935 1 BREDESON, CHESTER 290 Major Crop Irrigation Major Crop Irrigation1965-0978 1 HOLTHAUS, DONALD 290 Major Crop Irrigation Major Crop Irrigation1965-1137 1 BOYER, GREGORY K 290 Major Crop Irrigation Major Crop Irrigation1965-1149 PIT KERN, JAMES 290 Major Crop Irrigation Major Crop Irrigation1965-1169 1 REIS, LOUIS 290 Major Crop Irrigation Major Crop Irrigation1965-1252 1 REDMAN, ARVID 290 Major Crop Irrigation Major Crop Irrigation1966-0008 1 NIELSEN, VIRGIL P 290 Major Crop Irrigation Major Crop Irrigation1966-0025 1 GOERTZEN, CLARENCE C 290 Major Crop Irrigation Major Crop Irrigation1966-0036 1 NESS, LINDA S 290 Major Crop Irrigation Major Crop Irrigation1966-0058 1 WOODS, HAROLD W 290 Major Crop Irrigation Major Crop Irrigation1966-0123 1 LYNCH, DON & ALICE 290 Major Crop Irrigation Major Crop Irrigation1966-0467 1 DANIELSON, C E 290 Major Crop Irrigation Major Crop Irrigation1966-0467 2 DANIELSON, C E 290 Major Crop Irrigation Major Crop Irrigation1966-0467 3 DANIELSON, C E 290 Major Crop Irrigation Major Crop Irrigation1966-0485 1 TYSDAL, CARLTON 290 Major Crop Irrigation Major Crop Irrigation1966-0547 1 ROTH, MAURICE J 290 Major Crop Irrigation Major Crop Irrigation1966-0623 1 FIXSEN, ORMAN B 290 Major Crop Irrigation Major Crop Irrigation1966-0788 1 FRIESE, CURTIS S 290 Major Crop Irrigation Major Crop Irrigation1966-0887 1 BRINKMAN, MARC AND JULIE 290 Major Crop Irrigation Major Crop Irrigation1966-0901 1 MCGOWAN, MELVIN J 290 Major Crop Irrigation Major Crop Irrigation1966-0918 1 THRONDSEN, ORVILLE 290 Major Crop Irrigation Major Crop Irrigation1966-0993 1 FELSKA FARMS 290 Major Crop Irrigation Major Crop Irrigation1966-0993 2 FELSKA FARMS 290 Major Crop Irrigation Major Crop Irrigation1966-1048 1 AASE, HJ 290 Major Crop Irrigation Major Crop Irrigation1966-1096 1 VAN HULZEN, KEITH 290 Major Crop Irrigation Major Crop Irrigation1967-0011 1 LOE, GERALD & PAUL 290 Major Crop Irrigation Major Crop Irrigation1967-0105 1 HANSEN, EVERETT E 290 Major Crop Irrigation Major Crop Irrigation1967-0263 1 MARTHALER, DON 290 Major Crop Irrigation Major Crop Irrigation1967-0268 1 BLACKSTAD CORP, OBERT 290 Major Crop Irrigation Major Crop Irrigation1967-0383 1 TORKELSON, FLORENCE 290 Major Crop Irrigation Major Crop Irrigation1967-0584 1 PETRON, THOMAS 290 Major Crop Irrigation Major Crop Irrigation1967-0694 1 MCLEAN, R A 290 Major Crop Irrigation Major Crop Irrigation1967-0731 1 ROBERTSON, DONAVIN 290 Major Crop Irrigation Major Crop Irrigation1967-0784 1 RICH, HAROLD 290 Major Crop Irrigation Major Crop Irrigation1967 0805 1 KLATT ROGER & CAROL 290 Major Crop Irrigation Major Crop Irrigation1967-0805 1 KLATT, ROGER & CAROL 290 Major Crop Irrigation Major Crop Irrigation1967-0901 1 PETRON, THOMAS 290 Major Crop Irrigation Major Crop Irrigation1967-0947 1 SHORT, BRIAN P 290 Major Crop Irrigation Major Crop Irrigation1967-0948 1 SHORT, BRIAN P 290 Major Crop Irrigation Major Crop Irrigation1967-1015 1 HOLLAND, LOWELL 290 Major Crop Irrigation Major Crop Irrigation1967-1033 1 THUNE, GERALD E 290 Major Crop Irrigation Major Crop Irrigation1967-1190 2 MONICO, LARRY 290 Major Crop Irrigation Major Crop Irrigation1967-1246 1 MEYER, ALBERT J 290 Major Crop Irrigation Major Crop Irrigation1967-1284 1 REIHS, AUGUST ESTATE 290 Major Crop Irrigation Major Crop Irrigation1968-0037 1 RAHM, LAWRENCE 290 Major Crop Irrigation Major Crop Irrigation1968-0114 1 SHEA, JAMES W 290 Major Crop Irrigation Major Crop Irrigation1968-0171 1 JOHNSON, E HARVEY 290 Major Crop Irrigation Major Crop Irrigation1968-0226 1 DUSOLD GROUP 290 Major Crop Irrigation Major Crop Irrigation1968-0263 1 KIRMIS, WAYNE 290 Major Crop Irrigation Major Crop Irrigation1968-0320 1 BIRCH, JEAN M 290 Major Crop Irrigation Major Crop Irrigation1968-0331 1 B & S TREE COMPANY 290 Major Crop Irrigation Major Crop Irrigation1968-0331 2 B & S TREE COMPANY 290 Major Crop Irrigation Major Crop Irrigation1968-0335 3 BRISTOW, CALVIN M JR 290 Major Crop Irrigation Major Crop Irrigation1968-0335 4 BRISTOW, CALVIN M JR 290 Major Crop Irrigation Major Crop Irrigation1968-0335 5 BRISTOW, CALVIN M JR 290 Major Crop Irrigation Major Crop Irrigation1968-0354 1 ROTHER, ED 290 Major Crop Irrigation Major Crop Irrigation1968-0399 1 PORTER, C J 290 Major Crop Irrigation Major Crop Irrigation1968-0422 4W CENTRAL LAKES COLLEGE 290 Major Crop Irrigation Major Crop Irrigation1968-0422 EAST CENTRAL LAKES COLLEGE 290 Major Crop Irrigation Major Crop Irrigation1968-0422 NOR CENTRAL LAKES COLLEGE 290 Major Crop Irrigation Major Crop Irrigation1968-0422 NW CENTRAL LAKES COLLEGE 290 Major Crop Irrigation Major Crop Irrigation1968-0422 P2 CENTRAL LAKES COLLEGE 290 Major Crop Irrigation Major Crop Irrigation1968-0422 P6 CENTRAL LAKES COLLEGE 290 Major Crop Irrigation Major Crop Irrigation1968-0422 P7 CENTRAL LAKES COLLEGE 290 Major Crop Irrigation Major Crop Irrigation1968-0422 SE CENTRAL LAKES COLLEGE 290 Major Crop Irrigation Major Crop Irrigation1968-0422 SW CENTRAL LAKES COLLEGE 290 Major Crop Irrigation Major Crop Irrigation1968-0422 WELL CENTRAL LAKES COLLEGE 290 Major Crop Irrigation Major Crop Irrigation1968-0434 1 AHLERS, ELIZABETH 290 Major Crop Irrigation Major Crop Irrigation1968-0441 1 CORDES, MELVIN 290 Major Crop Irrigation Major Crop Irrigation
Permit Installation Permittee Use ID Usename Category1968-0442 1 CORDES, MELVIN 290 Major Crop Irrigation Major Crop Irrigation1968-0459 1 ERICKSON, LELAND 290 Major Crop Irrigation Major Crop Irrigation1968-0461 1 EKLUND, RICHARD W 290 Major Crop Irrigation Major Crop Irrigation1968-0487 1 STEARNS, ROD 290 Major Crop Irrigation Major Crop Irrigation1968-0488 1 STEARNS, ROD 290 Major Crop Irrigation Major Crop Irrigation1968-0508 1 HUMPHREY, GARY & EMERY 290 Major Crop Irrigation Major Crop Irrigation1968-0513 1 MCMARTIN, JAMES C 290 Major Crop Irrigation Major Crop Irrigation1968-0591 1 PETERSON, GLENN 290 Major Crop Irrigation Major Crop Irrigation1968-0668 1 MITCHELL, HAROLD 290 Major Crop Irrigation Major Crop Irrigation1968-0671 1 BENEDICT FARMS INC 290 Major Crop Irrigation Major Crop Irrigation1968-1197 1 PALLOW, RONALD J 290 Major Crop Irrigation Major Crop Irrigation1968-1197 2 PALLOW, RONALD J 290 Major Crop Irrigation Major Crop Irrigation1968-1347 1 TWADDLE, DONALD D 290 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ANDERSEN, MERWIN JR 290 Major Crop Irrigation Major Crop Irrigation1971-0016 1 TONSFELDT, VIRGIL 290 Major Crop Irrigation Major Crop Irrigation1971-0038 1 BRUTLAG LAND COMPANY 290 Major Crop Irrigation Major Crop Irrigation1971-0169 1 BRAY, KENNETH 290 Major Crop Irrigation Major Crop Irrigation1971-0204 1 NORD, JEFFREY S 290 Major Crop Irrigation Major Crop Irrigation1971-0217 1 S & S FARMS 290 Major Crop Irrigation Major Crop Irrigation1971-0231 1 STEARNS, WARREN M 290 Major Crop Irrigation Major Crop Irrigation1971-0237 1 BRUTLAG LAND COMPANY 290 Major Crop Irrigation Major Crop Irrigation1971-0239 1 RUBINK, HERMAN 290 Major Crop Irrigation Major Crop Irrigation1971-0240 1 RUBINK, HERMAN 290 Major Crop Irrigation Major Crop Irrigation1971-0293 1 CARLSON, OSCAR T 290 Major Crop Irrigation Major Crop Irrigation1971-0293 2 CARLSON, OSCAR T 290 Major Crop Irrigation Major Crop Irrigation1971-0296 1 SEIBERT, CLYDE 290 Major Crop Irrigation Major Crop Irrigation1971-0305 1 NELSON, WESLEY 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Irrigation1975-6130 1 HINCE, JOSEPH 290 Major Crop Irrigation Major Crop Irrigation1975-6134 1 BAUER, WALTER M 290 Major Crop Irrigation Major Crop Irrigation1975-6237 1 WALDOCH, DANIEL 290 Major Crop Irrigation Major Crop Irrigation1975-6338 1 KELLEY LAND & CATTLE 290 Major Crop Irrigation Major Crop Irrigation1975-6339 1 KELLEY LAND & CATTLE 290 Major Crop Irrigation Major Crop Irrigation1975-6340 1 GROGAN, MAURICE 290 Major Crop Irrigation Major Crop Irrigation1975-6341 1 KELLY LAND & CATTLE 290 Major Crop Irrigation Major Crop Irrigation1976-1015 1 HUWE, ALBERT JR 290 Major Crop Irrigation Major Crop Irrigation1976-1123 1 MOLITOR, GORDON J 290 Major Crop Irrigation Major Crop Irrigation1976-1208 1 OLSON, HARLAN 290 Major Crop Irrigation Major Crop Irrigation1976-1220 1 KAWLEWSKI, OSCAR 290 Major Crop Irrigation Major Crop Irrigation1976-1223 1 TAYLOR, EARL & EVELYN 290 Major Crop Irrigation Major Crop Irrigation1976-1228 1 MALONE, GREG 290 Major Crop Irrigation Major Crop Irrigation1976-1231 1 SMITH, GORDON A 290 Major Crop Irrigation Major Crop Irrigation1976-1265 1 BECKER, HAROLD D 290 Major Crop Irrigation Major Crop Irrigation1976-1274 1 AHO, DAVID 290 Major Crop Irrigation Major Crop Irrigation1976-1300 1 SAMUELSON, RALPH 290 Major Crop Irrigation Major Crop Irrigation1976-1302 1 RED LAKE FALLS, CITY OF 290 Major Crop Irrigation Major Crop Irrigation1976-1302 3 RED LAKE FALLS, CITY OF 290 Major Crop Irrigation Major Crop Irrigation1976-1302 4 RED LAKE FALLS, CITY OF 290 Major Crop Irrigation Major Crop Irrigation1976-1312 1 GRUNEWALD, CHARLES 290 Major Crop Irrigation Major Crop Irrigation1976-1336 1 ROSS, ROBERT 290 Major Crop Irrigation Major Crop Irrigation1976-1337 1 LUCKOW FARMS 290 Major Crop Irrigation Major Crop Irrigation1976-1338 1 PETERSON, VERLE 290 Major Crop Irrigation Major Crop Irrigation1976-1386 1 CHRISTIAN, STUART AND DWIGHT 290 Major Crop Irrigation Major Crop Irrigation1976-1410 1 WILLIAMS, RICK 290 Major Crop Irrigation Major Crop Irrigation1976-1419 1 FREDRICKS, NORMA 290 Major Crop Irrigation Major Crop Irrigation1976-1420 1 CORDES, JOHN 290 Major Crop Irrigation Major Crop Irrigation1976-1423 1 FRIEDERICHS FARMS 290 Major Crop Irrigation Major Crop Irrigation1976-1426 1 VON RUDEN, CRAIG 290 Major Crop Irrigation Major Crop Irrigation1976-1429 1 ADAMS, DARRELL 290 Major Crop Irrigation Major Crop Irrigation
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Permit Installation Permittee Use ID Usename Category1977-4630 1 HANEL, RAY & HARVEY 290 Major Crop Irrigation Major Crop Irrigation1977-4648 1 WITTE, GLENN 290 Major Crop Irrigation Major Crop Irrigation1977-4655 1 KNOTT, DUANE M 290 Major Crop Irrigation Major Crop Irrigation1977-4660 1 KNOTT, ARLEN S 290 Major Crop Irrigation Major Crop Irrigation1977-4688 1 RUPP, D A 290 Major Crop Irrigation Major Crop Irrigation1977-4692 1 BUYS, WILLIAM 290 Major Crop Irrigation Major Crop Irrigation1977-4810 1 HENTGES, DAVID 290 Major Crop Irrigation Major Crop Irrigation1977-5009 1 ZIMMERMAN, DONALD K 290 Major Crop Irrigation Major Crop Irrigation1977-5058 1 VANPELT, WILLIAM A 290 Major Crop Irrigation Major Crop Irrigation1977-5063 1 VIX, LULA A 290 Major Crop Irrigation Major Crop Irrigation1977-5089 1 KOCH, DONALD 290 Major Crop Irrigation Major Crop Irrigation1977-5127 1 NELSON, RICHARD 290 Major Crop Irrigation Major Crop Irrigation1977-5131 1 ZWIENER, JEFFREY 290 Major Crop Irrigation Major Crop Irrigation1977-5132 1 ZWIENER, JEFFREY 290 Major Crop Irrigation Major Crop Irrigation1977-5151 1 BARNEY, KEITH 290 Major Crop Irrigation Major Crop Irrigation1977-5168 1 ZIMMERMAN, DONALD K 290 Major Crop Irrigation Major Crop Irrigation1977-5175 1 MUNDFROM, FREDERICK 290 Major Crop Irrigation Major Crop Irrigation1977-5176 1 MUNDFROM, FREDERICK 290 Major Crop Irrigation Major Crop Irrigation1977-5230 1 HANSON, RONALD 290 Major Crop Irrigation Major Crop Irrigation1977-5260 1 DOFFING, CLARENCE 290 Major Crop Irrigation Major Crop Irrigation1977-6246 1 MILES, JAMES G 290 Major Crop Irrigation Major Crop Irrigation1977-6246 2 MILES, JAMES G 290 Major Crop Irrigation Major Crop Irrigation1977-6342 1 BERGMAN, GARY & BARBARA 290 Major Crop Irrigation Major Crop Irrigation1977-6362 1 KORNDER, EUGENE G & ELIZABETH 290 Major Crop Irrigation Major Crop Irrigation1977-6367 1 MARTIN, JAMES M 290 Major Crop Irrigation Major Crop Irrigation1977-6370 1 FIELDS & SONS INC, EDWARD 290 Major Crop Irrigation Major Crop Irrigation1977-6377 1 PETERSON, SEVER 290 Major Crop Irrigation Major Crop Irrigation1977-6377 2 PETERSON, SEVER 290 Major Crop Irrigation Major Crop Irrigation1977-6377 3 PETERSON, SEVER 290 Major Crop Irrigation Major Crop Irrigation1977-6382 1 BRAUN, CRAIG 290 Major Crop Irrigation Major Crop Irrigation1977-6411 1 HENDRICKS, JON 290 Major Crop Irrigation Major Crop Irrigation1977-6414 1 ROSS, HARLAND 290 Major Crop Irrigation Major Crop Irrigation1977-6558 1 HEDTKE, DONALD C 290 Major Crop Irrigation Major Crop Irrigation1978-1020 1 BENDICKSON, GARY 290 Major Crop Irrigation Major Crop Irrigation1978-1041 1 BRENDEMUHL, WAYNE 290 Major Crop Irrigation Major Crop Irrigation1978-1079 1 NOLAND, GREGORY 290 Major Crop Irrigation Major Crop Irrigation1978-1221 1 ODLAND, L H 290 Major Crop Irrigation Major Crop Irrigation1978-2048 1 MEEHAN, PATRICK H 290 Major Crop Irrigation Major Crop Irrigation1978-3127 1 CAPES, WILLIAM G 290 Major Crop Irrigation Major Crop Irrigation1978-3153 1 KLAVERKAMP, DEAN AND MARY JO 290 Major Crop Irrigation Major Crop Irrigation1978-3155 1 WEYER, LAWRENCE B 290 Major Crop Irrigation Major Crop Irrigation1978-3158 1 NIELSON, PETER J 290 Major Crop Irrigation Major Crop Irrigation1978-3160 1 REISING, ANTON C 290 Major Crop Irrigation Major Crop Irrigation1978-3162 1 WESTON, JOHN D 290 Major Crop Irrigation Major Crop Irrigation1978 3169 1 NOYES RICHARD W 290 Major Crop Irrigation Major Crop Irrigation1978-3169 1 NOYES, RICHARD W 290 Major Crop Irrigation Major Crop Irrigation1978-3182 1 BROTHERTON, DEAN 290 Major Crop Irrigation Major Crop Irrigation1978-3199 1 SCHRADER, DANIEL D 290 Major Crop Irrigation Major Crop Irrigation1978-3204 1 LARSON, EARL C 290 Major Crop Irrigation Major Crop Irrigation1978-3217 1 HIGGINS, VERNON J 290 Major Crop Irrigation Major Crop Irrigation1978-3226 1 JOHNSON, NORMAN 290 Major Crop Irrigation Major Crop Irrigation1978-3248 1 GOLDEN, GERALD 290 Major Crop Irrigation Major Crop Irrigation1978-3271 1 NANIK, JEROME 290 Major Crop Irrigation Major Crop Irrigation1978-3280 1 WIPPER, GLEN 290 Major Crop Irrigation Major Crop Irrigation1978-3327 1 GILYARD, VIRGIL 290 Major Crop Irrigation Major Crop Irrigation1978-3342 1 PETERSON, CLARENCE 290 Major Crop Irrigation Major Crop Irrigation1978-3342 2 PETERSON, CLARENCE 290 Major Crop Irrigation Major Crop Irrigation1978-3386 1 GALL, ARDEN & C 290 Major Crop Irrigation Major Crop Irrigation1978-3387 1 ELDER, PAUL 290 Major Crop Irrigation Major Crop Irrigation1978-4325 1 JANSEN, WERNER 290 Major Crop Irrigation Major Crop Irrigation1978-4391 1 BERKNER, EDWARD 290 Major Crop Irrigation Major Crop Irrigation1978-4392 1 FARM CREDIT SERVICE 290 Major Crop Irrigation Major Crop Irrigation1978-4393 1 WENISCH, JAMES 290 Major Crop Irrigation Major Crop Irrigation1978-4435 1 MAHONEY, PAUL 290 Major Crop Irrigation Major Crop Irrigation1978-5097 1 OLBRICH, ROBERT 290 Major Crop Irrigation Major Crop Irrigation1978-5199 1 CARLSON, ALLEN 290 Major Crop Irrigation Major Crop Irrigation1978-6027 1 STEGMAIER, ROBERT 290 Major Crop Irrigation Major Crop Irrigation1978-6218 1 JEURISSEN, HUBERT 290 Major Crop Irrigation Major Crop Irrigation1978-6220 1 KORNDER, TED G 290 Major Crop Irrigation Major Crop Irrigation1979-1077 2 SEEST, DONALD C 290 Major Crop Irrigation Major Crop Irrigation1979-1091 1 GILL, MARION 290 Major Crop Irrigation Major Crop Irrigation1979-1103 1 R D OFFUTT CO 290 Major Crop Irrigation Major Crop Irrigation1979-1104 1 SCHREIBER, ROBERT 290 Major Crop Irrigation Major Crop Irrigation1979-1175 1 DULLEA, JOHN P 290 Major Crop Irrigation Major Crop Irrigation1979-1188 1 MOLITOR, TOBY 290 Major Crop Irrigation Major Crop Irrigation1979-2127 1 US FOREST SERVICE 290 Major Crop Irrigation Major Crop Irrigation1979-3071 1 SIMON LAKE FISHERIES 290 Major Crop Irrigation Major Crop Irrigation1979-3142 1 MYERS, BRYAN 290 Major Crop Irrigation Major Crop Irrigation1979-3173 1 HYLAND, ROBERT A 290 Major Crop Irrigation Major Crop Irrigation1979-3184 1 SORGERT, RICHARD 290 Major Crop Irrigation Major Crop Irrigation1979-3209 1 FALK, JOHN A 290 Major Crop Irrigation Major Crop Irrigation1979-3229 1 NEUMANN, LARRY 290 Major Crop Irrigation Major Crop Irrigation1979-3230 1 BARON, RICHARD S 290 Major Crop Irrigation Major Crop Irrigation
Permit Installation Permittee Use ID Usename Category1979-3251 1 WILLIAMS, RONALD 290 Major Crop Irrigation Major Crop Irrigation1979-4033 1 LAX, STEVEN A 290 Major Crop Irrigation Major Crop Irrigation1979-4320 1 BORGMEIER, GARY 290 Major Crop Irrigation Major Crop Irrigation1979-4321 1 BORGMEIER, GARY 290 Major Crop Irrigation Major Crop Irrigation1979-5143 1 THOMPSON, RONALD P 290 Major Crop Irrigation Major Crop Irrigation1979-5151 1 GIEFER, LAWRENCE 290 Major Crop Irrigation Major Crop Irrigation1979-6203 1 BASTIEN, HELEN 290 Major Crop Irrigation Major Crop Irrigation1980-1156 1 JOHNSON, ERWIN M 290 Major Crop Irrigation Major Crop Irrigation1980-1256 1 HENDRICKX, RAY AND MARY 290 Major Crop Irrigation Major Crop Irrigation1980-1269 1 NELSON, EARL 290 Major Crop Irrigation Major Crop Irrigation1980-3022 1 HOFFMAN, LLOYD 290 Major Crop Irrigation Major Crop Irrigation1980-3037 1 STORMS, DAVID 290 Major Crop Irrigation Major Crop Irrigation1980-3037 2 STORMS, DAVID 290 Major Crop Irrigation Major Crop Irrigation1980-3039 1 BESSER, GEORGE JR 290 Major Crop Irrigation Major Crop Irrigation1980-3044 1 CATER, GARY 290 Major Crop Irrigation Major Crop Irrigation1980-3056 1 KUNKEL, ANDREW 290 Major Crop Irrigation Major Crop Irrigation1980-3056 2 KUNKEL, ANDREW 290 Major Crop Irrigation Major Crop Irrigation1980-3162 1 SCHLUTTNER, ART AND MICHELLE 290 Major Crop Irrigation Major Crop Irrigation1980-3200 1 HOLKER, TED 290 Major Crop Irrigation Major Crop Irrigation1980-4011 1 BENSON, RICHARD 290 Major Crop Irrigation Major Crop Irrigation1980-4075 1 STENSRUD BROTHERS 290 Major Crop Irrigation Major Crop Irrigation1980-4342 1 MICHAELSON, DAVID & GERALD 290 Major Crop Irrigation Major Crop Irrigation1980-4342 2 MICHAELSON, DAVID & GERALD 290 Major Crop Irrigation Major Crop Irrigation1980-5055 1 RUBLE, GLENN 290 Major Crop Irrigation Major Crop Irrigation1980-5056 1 SAVELKOUL, HENRY J 290 Major Crop Irrigation Major Crop Irrigation1981-1016 1 KUNZA, THEODORE 290 Major Crop Irrigation Major Crop Irrigation1981-1018 1 KOVAR, JOSEPH 290 Major Crop Irrigation Major Crop Irrigation1981-1036 1 SCHROEER, DAN 290 Major Crop Irrigation Major Crop Irrigation1981-1094 1 RYAN CHILDREN TRUSTS 290 Major Crop Irrigation Major Crop Irrigation1981-1094 2 RYAN CHILDREN TRUSTS 290 Major Crop Irrigation Major Crop Irrigation1981-1094 3 RYAN CHILDREN TRUSTS 290 Major Crop Irrigation Major Crop Irrigation1981-1097 1 SCHONBERG, DAVID J 290 Major Crop Irrigation Major Crop Irrigation1981-1124 1 BENSON, ROLLAND 290 Major Crop Irrigation Major Crop Irrigation1981-1133 1 GOEDEN, GREGG 290 Major Crop Irrigation Major Crop Irrigation1981-1138 1 SABBIN, JOHN L 290 Major Crop Irrigation Major Crop Irrigation1981-1149 1 KEITH DRISCOLL FAMILY 290 Major Crop Irrigation Major Crop Irrigation1981-1153 1 TWETEN, HOWARD 290 Major Crop Irrigation Major Crop Irrigation1981-1154 1 ALBERTSON, MICHAEL 290 Major Crop Irrigation Major Crop Irrigation1981-1156 1 ALBERTSON, MICHAEL 290 Major Crop Irrigation Major Crop Irrigation1981-1157 1 RICHTER, DENNIS W 290 Major Crop Irrigation Major Crop Irrigation1981-1158 1PIT NEUFELD, JACOB A 290 Major Crop Irrigation Major Crop Irrigation1981-1158 2PIT NEUFELD, JACOB A 290 Major Crop Irrigation Major Crop Irrigation1981-1167 1 AHO BROTHERS INC 290 Major Crop Irrigation Major Crop Irrigation1981-1175 1 MARY E LUETGERS TRUST 290 Major Crop Irrigation Major Crop Irrigation1981 1179 1 KANTEN ROGER 290 Major Crop Irrigation Major Crop Irrigation1981-1179 1 KANTEN, ROGER 290 Major Crop Irrigation Major Crop Irrigation1981-1180 1 LUCKOW & ASSOC, GARY E 290 Major Crop Irrigation Major Crop Irrigation1981-1180 2 LUCKOW & ASSOC, GARY E 290 Major Crop Irrigation Major Crop Irrigation1981-1215 1 NATCO INC 290 Major Crop Irrigation Major Crop Irrigation1981-1240 1 STUTELBERG, ALLEN 290 Major Crop Irrigation Major Crop Irrigation1981-1257 1 FETTIG, LYLE 290 Major Crop Irrigation Major Crop Irrigation1981-1292 1 MORKEN, RONALD & SANDY 290 Major Crop Irrigation Major Crop Irrigation1981-1303 1 BAKKEN & THOMPSON 290 Major Crop Irrigation Major Crop Irrigation1981-1303 2 BAKKEN & THOMPSON 290 Major Crop Irrigation Major Crop Irrigation1981-3005 1 SAKRY, RONALD 290 Major Crop Irrigation Major Crop Irrigation1981-3082 1 JEZIORSKI, ROGER 290 Major Crop Irrigation Major Crop Irrigation1981-3104 1 KIRCKOF, RICHARD 290 Major Crop Irrigation Major Crop Irrigation1981-3128 1 KOZAK, RODNEY 290 Major Crop Irrigation Major Crop Irrigation1981-3144 1 BENSEN, CLINTON AND AGNES 290 Major Crop Irrigation Major Crop Irrigation1981-3145 1 DUKOWITZ, ROGER 290 Major Crop Irrigation Major Crop Irrigation1981-3146 1 RICKBEIL BROS 290 Major Crop Irrigation Major Crop Irrigation1981-3147 1 KUSESKE, DENNIS 290 Major Crop Irrigation Major Crop Irrigation1981-3149 1 RARDIN, JAMES AND JANICE 290 Major Crop Irrigation Major Crop Irrigation1981-3155 1 HAMMER, TOM 290 Major Crop Irrigation Major Crop Irrigation1981-3170 1 JACOBS, DONALD 290 Major Crop Irrigation Major Crop Irrigation1981-3228 1 BECKER, DANIEL 290 Major Crop Irrigation Major Crop Irrigation1981-3270 1 LAMPRECHT, HAZEL 290 Major Crop Irrigation Major Crop Irrigation1981-4074 1 COWAN, CHARLES 290 Major Crop Irrigation Major Crop Irrigation1981-4117 1 MOLDAN, FRED 290 Major Crop Irrigation Major Crop Irrigation1981-4197 1 CRAWFORD BROTHERS 290 Major Crop Irrigation Major Crop Irrigation1981-4202 1 SCHULTZ, DOUGLAS 290 Major Crop Irrigation Major Crop Irrigation1981-4228 1 ANDERSON, CARL M 290 Major Crop Irrigation Major Crop Irrigation1981-4264 1 S M A FARMS 290 Major Crop Irrigation Major Crop Irrigation1981-4281 1 LOLL FARMS 290 Major Crop Irrigation Major Crop Irrigation1981-4325 1 MARESCH BROTHERS 290 Major Crop Irrigation Major Crop Irrigation1981-4352 1 SYRING, DARREL 290 Major Crop Irrigation Major Crop Irrigation1981-5030 1 EDELBACH, WILLIAM 290 Major Crop Irrigation Major Crop Irrigation1981-5098 1 SMITH, RICHARD E 290 Major Crop Irrigation Major Crop Irrigation1981-5100 1 KUSILEK, DELBERT 290 Major Crop Irrigation Major Crop Irrigation1981-5118 1 ROBINSON, GARY D 290 Major Crop Irrigation Major Crop Irrigation1981-5164 1 DEBOER, PERCY 290 Major Crop Irrigation Major Crop Irrigation1981-6020 1 BAUER, LOREN & WILLARD 290 Major Crop Irrigation Major Crop Irrigation1981-6026 1 SAUBER, LOUIS 290 Major Crop Irrigation Major Crop Irrigation
Permit Installation Permittee Use ID Usename Category1981-6204 1 MEREDITH, HARVEY 290 Major Crop Irrigation Major Crop Irrigation1981-6213 1 WALLACE, MIKE 290 Major Crop Irrigation Major Crop Irrigation1981-6243 1 SAUBER, LOUIS 290 Major Crop Irrigation Major Crop Irrigation1981-6249 1 SIEBENALER, ARTHUR M 290 Major Crop Irrigation Major Crop Irrigation1982-1031 1 WAGNER TRUST 290 Major Crop Irrigation Major Crop Irrigation1982-1135 1 SABBIN JR, JOHN 290 Major Crop Irrigation Major Crop Irrigation1982-1140 1 KLICKER, KENNETH D 290 Major Crop Irrigation Major Crop Irrigation1982-1152 1 CAPP BROTHERS DAIRY 290 Major Crop Irrigation Major Crop Irrigation1982-2061 1 CHRISTENSEN, ARNOLD 290 Major Crop Irrigation Major Crop Irrigation1982-3007 1 STRAND, CAMERON 290 Major Crop Irrigation Major Crop Irrigation1982-3117 1 RIVERSIDE FARMS 290 Major Crop Irrigation Major Crop Irrigation1982-3129 PIT ROTH, MAURICE J 290 Major Crop Irrigation Major Crop Irrigation1982-3157 1 QUAST, JOSEPH M 290 Major Crop Irrigation Major Crop Irrigation1982-3162 1 THOMPSON, MICHAEL L 290 Major Crop Irrigation Major Crop Irrigation1982-3170 1 FRERICH, HENRY 290 Major Crop Irrigation Major Crop Irrigation1982-3184 1 HANCE, EDWARD 290 Major Crop Irrigation Major Crop Irrigation1982-3193 1 UNTIEDT, JEROLD 290 Major Crop Irrigation Major Crop Irrigation1982-3194 1 UNTIEDT, JEROLD 290 Major Crop Irrigation Major Crop Irrigation1982-3206 1 MEYER, MICHAEL 290 Major Crop Irrigation Major Crop Irrigation1982-4011 1 PAGEL, DUANE C 290 Major Crop Irrigation Major Crop Irrigation1982-4103 1 VAN GROOTHEEST, WILBUR 290 Major Crop Irrigation Major Crop Irrigation1982-4167 1 NASMAN, JAMES C 290 Major Crop Irrigation Major Crop Irrigation1982-4168 1 NASMAN, JAMES C 290 Major Crop Irrigation Major Crop Irrigation1982-4194 1 BLACHOWSKE, DWANE 290 Major Crop Irrigation Major Crop Irrigation1982-4195 1 BLACHOWSKE, DWANE 290 Major Crop Irrigation Major Crop Irrigation1982-4196 1 BLACHOWSKE, DWANE 290 Major Crop Irrigation Major Crop Irrigation1982-4220 1 SCHUTZ, JOHN G 290 Major Crop Irrigation Major Crop Irrigation1982-4230 1 FERNHOLZ, THOMAS D 290 Major Crop Irrigation Major Crop Irrigation1982-5054 1 WEINEL, SHARON B 290 Major Crop Irrigation Major Crop Irrigation1982-6122 1 DEVENSHIRE FARMS 290 Major Crop Irrigation Major Crop Irrigation1982-6208 1 LEE, PATRICK WAYNE 290 Major Crop Irrigation Major Crop Irrigation1982-6208 2 LEE, PATRICK WAYNE 290 Major Crop Irrigation Major Crop Irrigation1983-1017 1 MALIKOWSKI, EUGENE J 290 Major Crop Irrigation Major Crop Irrigation1983-1087 1 BEATTIE, ROBERT 290 Major Crop Irrigation Major Crop Irrigation1983-1092 1 FETTIG, LYLE 290 Major Crop Irrigation Major Crop Irrigation1983-1115 1 WIPF, JOSEPH 290 Major Crop Irrigation Major Crop Irrigation1983-1116 1 WIPF, JOSEPH 290 Major Crop Irrigation Major Crop Irrigation1983-1116 2 WIPF, JOSEPH 290 Major Crop Irrigation Major Crop Irrigation1983-1116 3 WIPF, JOSEPH 290 Major Crop Irrigation Major Crop Irrigation1983-1158 1 CAPP BROTHERS DAIRY 290 Major Crop Irrigation Major Crop Irrigation1983-2096 1 JACKSON, ALLEN 290 Major Crop Irrigation Major Crop Irrigation1983-2125 1 JOHNSON, RONALD 290 Major Crop Irrigation Major Crop Irrigation1983-3035 1 OLSON, DARRELL 290 Major Crop Irrigation Major Crop Irrigation1983-3035 2 OLSON, DARRELL 290 Major Crop Irrigation Major Crop Irrigation1983 3057 1 ANDERSON ALBERT 290 Major Crop Irrigation Major Crop Irrigation1983-3057 1 ANDERSON, ALBERT 290 Major Crop Irrigation Major Crop Irrigation1983-3113 1 JANUSCHKA, JERRY 290 Major Crop Irrigation Major Crop Irrigation1983-3113 2 JANUSCHKA, JERRY 290 Major Crop Irrigation Major Crop Irrigation1983-3113 3 JANUSCHKA, JERRY 290 Major Crop Irrigation Major Crop Irrigation1983-3156 1 VANDERKOOI, STAN 290 Major Crop Irrigation Major Crop Irrigation1983-3161 1 JOHNSON, DONALD W 290 Major Crop Irrigation Major Crop Irrigation1983-3172 1 WADE, DAVE 290 Major Crop Irrigation Major Crop Irrigation1983-3177 1 GIBSON, CALVIN 290 Major Crop Irrigation Major Crop Irrigation1983-3179 1 PETERNELL, EDWARD P 290 Major Crop Irrigation Major Crop Irrigation1983-3179 2 PETERNELL, EDWARD P 290 Major Crop Irrigation Major Crop Irrigation1983-3182 1 KLAVERKAMP, JOHN 290 Major Crop Irrigation Major Crop Irrigation1983-3196 1 SCOTT, RICHARD 290 Major Crop Irrigation Major Crop Irrigation1983-3236 1 PALLOW, RONALD & BAILEY, DAVID 290 Major Crop Irrigation Major Crop Irrigation1983-3283 1 AG-GRO INC 290 Major Crop Irrigation Major Crop Irrigation1983-3307 1 HINNENKAMP, EDWARD 290 Major Crop Irrigation Major Crop Irrigation1983-3312 1 LAHR, DONNIE 290 Major Crop Irrigation Major Crop Irrigation1983-3313 1 PANSCH, JOEL 290 Major Crop Irrigation Major Crop Irrigation1983-3321 1 JANSKI, PAUL 290 Major Crop Irrigation Major Crop Irrigation1983-4020 1 LARSON, DAVID A 290 Major Crop Irrigation Major Crop Irrigation1983-4109 1 GRUNDMEYER, ARMIN 290 Major Crop Irrigation Major Crop Irrigation1983-4138 1 ROLAND PHILIPP 290 Major Crop Irrigation Major Crop Irrigation1983-4176 1 NYSTROM FARMS INC 290 Major Crop Irrigation Major Crop Irrigation1983-4177 1 NYSTROM FARMS INC 290 Major Crop Irrigation Major Crop Irrigation1983-6024 1 WOLFF, DUANE 290 Major Crop Irrigation Major Crop Irrigation1983-6118 1 CHRISTS HOUSEHOLD OF FAITH INC 290 Major Crop Irrigation Major Crop Irrigation1983-6123 1 BOSSHART, SHIRLEY 290 Major Crop Irrigation Major Crop Irrigation1983-6163 1 WELANDER, G ARTHUR 290 Major Crop Irrigation Major Crop Irrigation1984-1103 1 WERNER JR, JOHN L 290 Major Crop Irrigation Major Crop Irrigation1984-1191 1 HEIDORN, FLOYD 290 Major Crop Irrigation Major Crop Irrigation1984-1191 2 HEIDORN, FLOYD 290 Major Crop Irrigation Major Crop Irrigation1984-2024 1 SANDSTROM, AXEL 290 Major Crop Irrigation Major Crop Irrigation1984-3018 1 LEDOUX, JAMES 290 Major Crop Irrigation Major Crop Irrigation1984-3162 1 HOULTON FARMS 290 Major Crop Irrigation Major Crop Irrigation1984-3162 2 HOULTON FARMS 290 Major Crop Irrigation Major Crop Irrigation1984-3164 1 SUNDBY, CLEON 290 Major Crop Irrigation Major Crop Irrigation1984-3170 1 THELEN, GLENN H 290 Major Crop Irrigation Major Crop Irrigation1984-3174 1 OTTO, NORMAN 290 Major Crop Irrigation Major Crop Irrigation1984-3174 2 OTTO, NORMAN 290 Major Crop Irrigation Major Crop Irrigation
Permit Installation Permittee Use ID Usename Category1984-3187 1 CARLSON, DONALD A 290 Major Crop Irrigation Major Crop Irrigation1984-3187 2 CARLSON, DONALD A 290 Major Crop Irrigation Major Crop Irrigation1984-3216 1 HLAVATY, FRANKLIN E 290 Major Crop Irrigation Major Crop Irrigation1984-3238 1 NSP CO DBA XCEL ENERGY 290 Major Crop Irrigation Major Crop Irrigation1984-3245 1 LIEBL FARMS 290 Major Crop Irrigation Major Crop Irrigation1984-3253 1 JOHNSON, ROGER 290 Major Crop Irrigation Major Crop Irrigation1984-3280 1 HANSON, CHARLES 290 Major Crop Irrigation Major Crop Irrigation1984-3297 1 WINGARD FARMS 290 Major Crop Irrigation Major Crop Irrigation1984-3309 1 PALLOW, RONALD J 290 Major Crop Irrigation Major Crop Irrigation1984-3309 2 PALLOW, RONALD J 290 Major Crop Irrigation Major Crop Irrigation1984-4106 1 BEAM, DANIEL D 290 Major Crop Irrigation Major Crop Irrigation1984-4107 1 CORNISH, WESLEY W 290 Major Crop Irrigation Major Crop Irrigation1984-4156 1 MCWILLIAMS, GEORGE 290 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Irrigation Major Crop Irrigation1995-1080 1 PETERSON, DOUGLAS 290 Major Crop Irrigation Major Crop Irrigation1995-1210 1 BERTELSEN, CHARLES T 290 Major Crop Irrigation Major Crop Irrigation1995-1255 1 VALLEY SPUDS INC 290 Major Crop Irrigation Major Crop Irrigation1995-2159 1 D G HUMMINGBIRD HOLDINGS 290 Major Crop Irrigation Major Crop Irrigation
Permit Installation Permittee Use ID Usename Category1995-3074 1 ANDERSON, ALLAN 290 Major Crop Irrigation Major Crop Irrigation1995-3152 1 KRINGEN, DARRELL 290 Major Crop Irrigation Major Crop Irrigation1995-3206 1 FISCHER, DANIEL A 290 Major Crop Irrigation Major Crop Irrigation1996-1141 1 HALVERSON, RUSSELL 290 Major Crop Irrigation Major Crop Irrigation1996-1221 1 SAZAMA, RAY 290 Major Crop Irrigation Major Crop Irrigation1996-1235 1 HANGSLEBEN, JACK 290 Major Crop Irrigation Major Crop Irrigation1996-1239 1 SAZAMA, RAY 290 Major Crop Irrigation Major Crop Irrigation1996-1242 1 NELSON, LOWELL F 290 Major Crop Irrigation Major Crop Irrigation1996-3174 1 HACKLER, GEORGE 290 Major Crop Irrigation Major Crop Irrigation1996-3175 1 HACKLER, GEORGE 290 Major Crop Irrigation Major Crop Irrigation1996-3195 1 BRENNAN, ALPHONSE J 290 Major Crop Irrigation Major Crop Irrigation1996-3218 1 THOMPSON FARMS 290 Major Crop Irrigation Major Crop Irrigation1997-1009 1 KERZMAN, NICK 290 Major Crop Irrigation Major Crop Irrigation1997-1032 1 CHRISTIAN, STUART AND DWIGHT 290 Major Crop Irrigation Major Crop Irrigation1997-1078 1 WINKLER, PATRICIA 290 Major Crop Irrigation Major Crop Irrigation1997-1132 1 BOISE CASCADE CORP 290 Major Crop Irrigation Major Crop Irrigation1997-1210 1 HANGSLEBEN, JACK 290 Major Crop Irrigation Major Crop Irrigation1997-1255 1 GRASSWICK, JAMES R 290 Major Crop Irrigation Major Crop Irrigation1997-1264 PIT LANGE, ROBERT J AND THOMAS SCHMIDGALL 290 Major Crop Irrigation Major Crop Irrigation1997-3101 1 PRAMANN, RUDY 290 Major Crop Irrigation Major Crop Irrigation1997-3126 1 TUINSTRA, MARVIN 290 Major Crop Irrigation Major Crop Irrigation1997-3135 1 WHITNEY, DAVID 290 Major Crop Irrigation Major Crop Irrigation1997-3138 1 UNTIEDT, JEROLD 290 Major Crop Irrigation Major Crop Irrigation1997-3149 1 FELDEVERD, DAVID 290 Major Crop Irrigation Major Crop Irrigation1997-3160 1 HINNENKAMP DAIRY 290 Major Crop Irrigation Major Crop Irrigation1997-3183 1 JOHNSON, TIMOTHY F 290 Major Crop Irrigation Major Crop Irrigation1997-3211 1 BEAVER, GARY W 290 Major Crop Irrigation Major Crop Irrigation1997-3249 1 DAMMANN, PAUL 290 Major Crop Irrigation Major Crop Irrigation1997-4131 1 LORENZ, GERALD 290 Major Crop Irrigation Major Crop Irrigation1998-1161 1 PATRICK, CLIFFORD C 290 Major Crop Irrigation Major Crop Irrigation1998-1191 1 ROSS, KEVIN & JOEL & JAY 290 Major Crop Irrigation Major Crop Irrigation1998-1212 1 SAZAMA, RAY 290 Major Crop Irrigation Major Crop Irrigation1998-3002 1 STARK, LEWIS R 290 Major Crop Irrigation Major Crop Irrigation1998-3009 1 PANKAN, ROBERT 290 Major Crop Irrigation Major Crop Irrigation1998-3018 1 GOSIAK, SCOTT 290 Major Crop Irrigation Major Crop Irrigation1998-3179 1 THIELEN, MARVIN 290 Major Crop Irrigation Major Crop Irrigation1998-3180 1 THIELEN, MARVIN 290 Major Crop Irrigation Major Crop Irrigation1998-3196 1 RIELAND, JERRY 290 Major Crop Irrigation Major Crop Irrigation1998-4189 1 CARRUTH FARMS INC 290 Major Crop Irrigation Major Crop Irrigation1998-5076 1 EDELBACH, KEN L 290 Major Crop Irrigation Major Crop Irrigation1998-6131 1 HOFFMAN BROTHERS SOD INC 290 Major Crop Irrigation Major Crop Irrigation1999-1088 1 TENSEN, GREG 290 Major Crop Irrigation Major Crop Irrigation1999-1174 1 GRASSWICK, JAMES R 290 Major Crop Irrigation Major Crop Irrigation1999-3117 1 HACKLER, LORAN R 290 Major Crop Irrigation Major Crop Irrigation1999 3160 1 BLUE VALLEY SOD CO 290 Major Crop Irrigation Major Crop Irrigation1999-3160 1 BLUE VALLEY SOD CO 290 Major Crop Irrigation Major Crop Irrigation1999-3162 1 SMITH, RANDY 290 Major Crop Irrigation Major Crop Irrigation1999-4002 1 SANDGREN, TIM 290 Major Crop Irrigation Major Crop Irrigation2000-1166 1 NOLAND, GREGORY 290 Major Crop Irrigation Major Crop Irrigation2000-3145 1 RADEMACHER, JOE 290 Major Crop Irrigation Major Crop Irrigation2000-3155 1 BRINKMAN, DARYLD J 290 Major Crop Irrigation Major Crop Irrigation2000-3208 1 PERIUS, JAY 290 Major Crop Irrigation 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Irrigation2003-1133 1 KERN, JAMES 290 Major Crop Irrigation Major Crop Irrigation2003-2002 1 JACKSON, ALLEN 290 Major Crop Irrigation Major Crop Irrigation2003-3112 1 PETERSON, SEVER 290 Major Crop Irrigation Major Crop Irrigation2004-1124 1 HAPKA, LEON 290 Major Crop Irrigation Major Crop Irrigation2004-1125 POND TENSEN, GREG 290 Major Crop Irrigation Major Crop Irrigation2004-3087 2 KLADEK, LARRY 290 Major Crop Irrigation Major Crop Irrigation2004-3201 1 WAGNER, DOUGLAS J 290 Major Crop Irrigation Major Crop Irrigation2005-1017 1 ENBERG, PAUL 290 Major Crop Irrigation Major Crop Irrigation2005-1079 1 MOENKEDICK, DAVID 290 Major Crop Irrigation Major Crop Irrigation2005-1114 1 LINE, JERRY 290 Major Crop Irrigation Major Crop Irrigation2005-3161 1 ZABINSKI, DAVID 290 Major Crop Irrigation Major Crop Irrigation2005-3172 1 TRUAX, DENNIS 290 Major Crop Irrigation Major Crop Irrigation2006-0064 1 FEATHERSTONE FRUITS AND VEGETABLES 290 Major Crop Irrigation Major Crop Irrigation2006-0434 1 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Permit Installation Permittee Use ID Usename Category2007-0448 1 AMTHOR FARMS AND WILDLIFE LLC 290 Major Crop Irrigation Major Crop Irrigation2007-0449 1 AMTHOR FARMS AND WILDLIFE LLC 290 Major Crop Irrigation Major Crop Irrigation2007-0469 1 LINE, JAMIE 290 Major Crop Irrigation Major Crop Irrigation2007-0623 1 DUKOWITZ, BONNIE & ROGER 290 Major Crop Irrigation Major Crop Irrigation2007-0731 1 LARSON, KEN 290 Major Crop Irrigation Major Crop Irrigation2008-0056 1 BERSCHEIT FARMS 290 Major Crop Irrigation Major Crop Irrigation2008-0086 1 BENKE, NORBERT 290 Major Crop Irrigation Major Crop Irrigation2008-0087 1 BENKE, NORBERT 290 Major Crop Irrigation Major Crop Irrigation2008-0266 1 HOLMGREN, DAVID E JR 290 Major Crop Irrigation Major Crop Irrigation2008-0395 1 LIFFRIG, RICHARD 290 Major Crop Irrigation Major Crop Irrigation2008-0397 1 SCHWIENTEK, RICHARD 290 Major Crop Irrigation Major Crop Irrigation2008-0454 1 WANDERSCHEID, DICK 290 Major Crop Irrigation Major Crop Irrigation2008-0511 1 HOLKER, THEODORE 290 Major Crop Irrigation Major Crop Irrigation2008-0523 1 HONER, SYLVESTER 290 Major Crop Irrigation Major Crop Irrigation2008-0529 1 WITHAGE, MICHAEL 290 Major Crop Irrigation Major Crop Irrigation2008-0531 1 PEKULA, ROLAND 290 Major Crop Irrigation Major Crop Irrigation2008-0532 1 HFC INC 290 Major Crop Irrigation Major Crop Irrigation2008-0533 1 SCHAEFER, ROMAN 290 Major Crop Irrigation Major Crop Irrigation2008-0547 1 NASMAN, GEORGE 290 Major Crop Irrigation Major Crop Irrigation2008-0548 1 NASMAN, GEORGE 290 Major Crop Irrigation Major Crop Irrigation2008-0554 1 DLM LLC 290 Major Crop Irrigation Major Crop Irrigation2008-0579 1 PETERSEN, STEPHEN 290 Major Crop Irrigation Major Crop Irrigation2008-0640 1 HEMMESCH, RONALD 290 Major Crop Irrigation Major Crop Irrigation2008-0645 1 THOMSEN, ERIC 290 Major Crop Irrigation Major Crop Irrigation2008-0667 1 ERICKSON, ROGER L 290 Major Crop Irrigation Major Crop Irrigation2008-0668 1 ERICKSON, ROGER L 290 Major Crop Irrigation Major Crop Irrigation2008-0669 1 ERICKSON, ROGER L 290 Major Crop Irrigation Major Crop Irrigation2008-0796 1 JACKSON, ALLEN 290 Major Crop Irrigation Major Crop Irrigation2009-0016 1 THOMPSON, SCOTT 290 Major Crop Irrigation Major Crop Irrigation2009-0074 1 MERTENS, NICK 290 Major Crop Irrigation Major Crop Irrigation2009-0143 1 MOENKEDICK, BRUCE 290 Major Crop Irrigation Major Crop Irrigation2009-0173 1 RIVERVIEW LLP 290 Major Crop Irrigation Major Crop Irrigation2009-0175 1 RIVERVIEW LLP 290 Major Crop Irrigation Major Crop Irrigation2009-0175 2 RIVERVIEW LLP 290 Major Crop Irrigation Major Crop Irrigation2009-0266 1 PESCHONS, DARWIN 290 Major Crop Irrigation Major Crop Irrigation2009-0595 1 MORTON, JOHN R 290 Major Crop Irrigation Major Crop Irrigation2009-0680 1 KALINA, CALVIN 290 Major Crop Irrigation Major Crop Irrigation2010-0080 1 FEHR, LLOYD 290 Major Crop Irrigation Major Crop Irrigation2010-0081 1 FEHR, LLOYD 290 Major Crop Irrigation Major Crop Irrigation
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID
2.8 120 6 1 2 VENSTROM LAKE 56-0719P 5610.0 600 40 4 3 MISSISSIPPI RIVER 7132.0 800 135 1 3 MISSISSIPPI RIVER 7113.3 1,000 40 4 3 CENTER CREEK 4613.3 550 40 4 3 ST FRANCIS 712.2 144 10 4 2 HALL LAKE 46-0031P 4614.0 600 100 4 3 MISSISSIPPI RIVER 7372.6 450 4 3 RED LAKE RIVER 60
.8 180 5 4 4 COUNTY DITCH 35 211.0 40 4 3 RED RIVER OF THE NORTH 1465.0 900 387 4 3 BUFFALO RIVER S BRANCH 1490.0 900 230 1 3 COULEE 606.1 57 4 2 HORSESHOE LAKE 21-0371P 211.6 5 4 2 OCHEDA LAKE 53-0024P 532.0 30 4 2 POMME DE TERRE LAKE 26-0097P 2610.0 500 235 1 3 RED RIVER OF THE NORTH 4516.2 150 4 2 26-0205P 26
.0 700 200 4 3 HIGH ISLAND CREEK 728.5 1,100 25 1 2 HERON LAKE 32-0057P 3216.2 160 4 6 2113.3 600 100 4 3 SHELL ROCK RIVER 2432.5 200 4 3 142.0 50 10 4 3 ELK RIVER 53.3 200 20 4 2 OTTER TAIL LAKE 56-0242P 5616.0 500 100 1 2 TWIN LAKES 56-0382P 5616.2 100 4 2 FISH LAKE 56-0768P 5641.0 500 100 1 2 MUSTINKA RIVER FLOWAGE 26-0235P 2639.1 800 197 1 3 ROCK RIVER 6717.9 160 4 3 LONG 146.5 450 40 4 2 OAK LAKE 41-0062P 419.0 500 100 4 3 SLEEPY EYE CREEK 826.0 1,000 160 4 3 MISSISSIPPI RIVER 278.3 300 10 4 3 UPPER IOWA RIVER 5020.0 1,000 160 4 3 CEDAR 50
.6 100 11 4 2 TAMARACK LAKE 10-0010P 106.6 500 80 4 3 SHELL ROCK RIVER 244.2 600 25 4 3 CEDAR 5013.3 600 80 4 2 GRAHAM LAKE 56-0368P 5313.3 900 175 4 3 LONG 1414.6 800 76 1 3 MISSISSIPPI RIVER 715.0 120 12 1 2 GRAHAM LAKE 56-0368P 310 8 450 40 4 3 CROW WING RIVER 8010.8 450 40 4 3 CROW WING RIVER 8016.3 800 100 4 3 MORAN 778.2 560 115 4 3 MISSISSIPPI RIVER 716.5 500 40 1 3 PRAIRIE 314.0 90 24 4 3 WILD RICE SOUTH BRANCH 545.6 650 30 1 2 GERTRUDE LAKE 56-0362P 5635.8 20 1 3 BLACKWATER LAKE 31-0561P 5632.5 200 4 2 BUCHANAN LAKE 56-0209P 5613.0 10 4 2 MURPHY LAKE 56-0229P 32.6 200 10 4 3 CROW RIVER N BRANCH 8621.0 400 50 2 2 AMELIA LAKE 61-0064P 6122.8 200 40 4 3 MORAN RIVER 7710.8 450 60 4 3 PELL CREEK 64
.8 100 40 4 3 ELK RIVER 711.6 300 20 4 2 WAYMIER LAKE 69-0921P 6936.0 40 4 3 CROW WING RIVER 80
.0 40 4 3 REDEYE RIVER 801.6 10 4 3 CROW WING RIVER 1116.4 300 40 4 5 8020.3 600 53 1 3 MINNESOTA RIVER 75.6 500 40 4 3 SAUK RIVER 736.5 40 4 3 45-0026W 4544.0 800 270 1 3 LAC QUI PARLE 37-0046P 3713.0 500 80 1 2 SKOGMAN LAKE 30-0022P 301.6 20 4 3 MINNESOTA RIVER 8720.0 224 4 3 ELK RIVER 53.5 500 40 4 3 MISSISSIPPI RIVER 717.2 22 4 3 LONG PRAIRIE RIVER 7710.0 600 160 1 5 53
.1 300 40 4 3 POMME DE TERRE RIVER 76
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID10.7 450 65 4 2 LAKE TRAVERSE 78-0025P 785.0 500 20 4 3 SAUK RIVER 7321.8 800 160 4 3 MINNESOTA RIVER 6521.8 800 160 4 3 6513.0 900 80 4 2 BIG STONE LAKE 06-0152P 66.5 100 4 2 TAMARAC LAKE 56-0931P 5613.3 1,000 150 4 3 LONG PRAIRIE RIVER 7719.5 123 4 2 616.5 80 4 3 CROW MIDDLE BRANCH 4713.3 800 40 1 3 MISSISSIPPI RIVER 715.0 40 4 5 7117.0 650 100 4 3 PIPESTONE CREEK 5917.0 650 100 4 5 5911.0 500 40 1 3 RED RIVER OF THE NORTH 606.0 600 20 4 3 MISSISSIPPI RIVER 7112.0 500 90 1 3 VERMILLION RIVER 1912.0 500 90 1 3 VERMILLION RIVER 193.0 300 15 4 2 ROUND LAKE 18-0147P 186.6 550 40 4 2 FIRST 86-0067P 8610.0 500 35 4 3 MISSISSIPPI RIVER 7121.4 130 4 5 561.0 300 3 4 3 SKUNK RIVER 4933.3 600 200 4 7 77-0254P 7726.0 500 80 4 3 JUDICIAL DITCH 8 7620.6 125 4 2 PINE MOUNTAIN 11-0411P 1120.6 125 4 3 GOOSE 1120.6 125 4 3 GOOSE 1113.3 120 4 4 COUNTY DITCH 63 656.5 200 80 4 3 TAMARAC RIVER 456.5 60 4 3 RED RIVER OF THE NORTH 5418.0 500 40 1 3 766.5 300 40 4 3 BLACKHOOF 913.0 80 4 3 SNAKE RIVER 4513.0 80 4 3 SNAKE RIVER 4519.6 160 4 3 SNAKE RIVER 4526.0 160 4 3 RED RIVER OF THE NORTH 4526.0 160 4 3 RED RIVER OF THE NORTH 456.3 37 4 3 RED RIVER OF THE NORTH 3513.0 80 4 3 RED RIVER OF THE NORTH 3512.5 500 77 4 2 TENTER LAKE 61-0032P 6114.0 475 55 1 2 TENTER LAKE 56-0348P 5617.0 350 162 1 3 RAINY 392.5 15 4 3 BUCHSOS CREEK 6514.0 350 86 1 3 COTTONWOOD 89 8 60 4 3 CROW WING RIVER 119.8 60 4 3 CROW WING RIVER 1113.3 500 80 1 3 WING RIVER 7713.3 600 80 4 3 WING RIVER 805.7 35 4 3 WING RIVER 564.1 25 4 3 ELK RIVER 719.1 210 56 4 2 HYDES LAKE 10-0088P 103.3 500 20 4 2 MUD LAKE 30-0033P 3020.0 1,000 120 1 3 ELK RIVER 7112.2 300 75 4 3 RED RIVER OF THE NORTH 351.9 200 12 1 3 STRAIGHT 296.7 500 40 4 3 MINNESOTA RIVER 706.7 500 40 4 3 MINNESOTA RIVER 702.6 1,600 22 4 3 CROW RIVER 275.5 100 4 3 MISSISSIPPI RIVER 251.0 300 5 4 2 KETTLE LAKE 29-0001W 2920.0 500 105 4 3 CROW RIVER S BRANCH 101.5 10 4 4 301.5 10 4 5 3050.0 800 175 3 7 7116.7 1,000 100 1 3 LONG PRAIRIE RIVER 7727.0 150 4 3 REDWOOD RIVER 646.7 55 4 3 ROSE CREEK 5013.3 600 80 4 6 5017.0 110 4 3 JUDICIAL DITCH 27 6521.1 150 4 3 ROOT RIVER N BRANCH 5526.0 300 160 4 5 532.8 14 4 2 GENEVA LAKE 24-0015P 248.6 800 63 4 5 6520.4 600 125 4 3 CHIPPEWA RIVER 1220.4 600 125 4 5 1220.0 550 80 1 3 FAWN 807.0 400 40 4 3 WING RIVER 77
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID20.0 56 4 3 ST FRANCIS 713.3 20 4 3 LITTLE OTTER CR 913.0 500 80 4 3 RUSH CREEK 1321.6 100 4 3 OTTER TAIL RIVER 5620.0 360 30 4 5 15
.2 13 4 3 879.0 200 55 4 4 7120.0 600 80 1 4 COUNTY DITCH 5 807.4 80 4 2 LOVERA LAKE 21-0046P 2115.0 90 1 2 LONG LAKE 56-0210P 569.6 12 4 2 JEWETT LAKE 56-0877P 566.5 500 32 1 5 8615.0 90 4 3 CROW WING RIVER 8016.0 450 40 3 5 809.8 60 4 3 MORAN 778.1 5 4 4 JUDICIAL DITCH 3 1713.0 600 80 4 5 5916.0 500 40 4 5 176.5 40 4 2 MILL LAKE 77-0050P 7713.0 80 4 2 ELBOW LAKE 56-0514P 5613.0 80 4 3 LONG PRAIRIE RIVER 7736.5 224 4 2 DEER LAKE 56-0298P 5636.5 224 4 2 EAST LOST LAKE 56-0378P 5636.5 224 4 7 5614.0 85 4 3 OTTER TAIL RIVER 56-0242P 5612.0 600 30 4 3 CROW WING RIVER 1126.6 160 4 3 REDWOOD RIVER 6419.9 150 4 2 ROCK LAKE 42-0052P 429.8 450 46 4 2 LITTLE BIRCH LAKE 77-0089P 7713.0 80 4 3 OTTER TAIL RIVER 5640.0 240 4 3 MISSISSIPPI RIVER 861.4 50 4 3 RAMSEY CREEK 641.4 50 4 4 JUDICIAL DITCH 33 646.5 4 2 BASS LAKE 69-0553P 6933.0 800 195 1 5 6713.0 500 80 4 3 HAWK CREEK 1213.2 80 4 2 LAKE OF THE HILL 42-0032P 4220.0 600 60 4 3 CHUB CREEK 1913.3 500 80 4 5 8316.2 1,000 100 4 5 8313.3 105 4 3 LONG PRAIRIE RIVER 7710.0 100 4 3 WATONWAN RIVER 836.7 200 40 4 2 PELICAN LAKE 26-0002P 2620.6 160 4 3 UPPER IOWA RIVER 5026 0 600 160 4 2 GILCHRIST LAKE 86 0064P 8626.0 600 160 4 2 GILCHRIST LAKE 86-0064P 866.6 40 4 3 LONG PRAIRIE RIVER 7727.4 3,000 168 1 5 6791.3 3,000 560 1 5 671.0 6 4 3 RED RIVER OF THE NORTH 5412.5 75 4 3 MINNESOTA RIVER 6541.0 800 100 3 3 FISH HOOK RIVER 2920.0 120 1 3 SAUK RIVER 7315.9 600 120 1 3 WATONWAN RIVER 833.3 20 4 3 ST FRANCIS 53.3 20 4 3 CROW RIVER N BRANCH 4716.7 100 4 3 PELICAN LAKE 26-0002P 56
100.0 307 4 4 45.0 30 1 3 LONG 1420.0 650 123 1 5 8013.0 450 97 3 3 BIG SAND RIVER 5813.0 450 97 1 3 LITTLE SAND CREEK 5857.0 1,100 152 1 5 1157.0 1,100 152 1 5 1157.0 1,100 152 1 5 1113.3 600 80 4 3 VERMILLION RIVER 1916.7 100 4 3 ZUMBRO RIVER N BRANCH 55
136.0 2,475 375 3 5 80136.0 2,475 375 3 5 80136.0 2,475 375 3 5 80136.0 2,475 375 3 5 80136.0 2,475 375 1 5 80136.0 2,475 375 1 5 80136.0 2,475 375 1 5 80136.0 2,475 375 3 5 80136.0 2,475 375 3 5 80136.0 2,475 375 3 5 8013.5 500 100 1 3 CANNON 2518.3 110 4 4 SWAMP 56
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID13.3 80 4 4 5626.7 160 4 7 3
.8 5 4 3 696.7 70 4 3 SHELL RIVER 03-0102P 316.7 100 4 5 353.0 410 1 2 RICE LAKE 11-0337P 116.7 400 53 4 3 ZUMBRO RIVER 2010.0 450 40 4 3 DES MOINES RIVER 1713.3 100 4 3 ELK RIVER 7130.0 250 1 3 BUFFALO RIVER S BRANCH 1450.0 1,100 170 1 5 7750.0 1,100 170 3 3 ASHLEY CREEK 7716.7 100 4 3 LEAF RIVER 8010.0 50 4 3 MISSION CREEK 5813.3 88 4 2 SWEDE LAKE 11-0368W 1113.3 88 4 5 116.7 80 4 4 565.0 27 4 2 LITTLE BIRCH LAKE 77-0089P 77.4 3 4 2 SANDY LAKE 09-0016P 9
26.0 160 4 3 RUM RIVER 3028.0 500 85 3 5 DUG PIT 7113.3 80 4 5 7113.3 160 1 3 CHIPPEWA RIVER E BRANCH 6113.3 100 4 3 CANNON 2513.3 120 4 2 SCHOOL SECTION LAKE 73-0035P 7313.3 1,000 80 1 3 POMME DE TERRE RIVER 7613.3 160 1 2 NORTH TURTLE LAKE 56-0379P 5633.3 500 100 4 3 6519.0 100 80 1 3 RUM RIVER 213.0 500 73 4 2 GEORGE LAKE 02-0091W 213.3 400 80 4 7 1229.3 500 95 4 5 8013.3 100 4 3 LEAF RIVER 806.0 170 10 4 5 36.7 20 4 2 LITTLE STONY LAKE 29-0080W 2913.0 500 120 1 2 FOOT LAKE 3419.0 135 1 3 MISSISSIPPI RIVER 4926.6 600 160 1 3 PINE S BRANCH 1126.2 160 4 3 TWO RIVER S BRANCH 3526.2 160 4 3 TWO RIVER S BRANCH 356.7 40 4 3 ELK RIVER 719.0 54 4 3 SAUK RIVER 7337.0 700 150 1 5 7613.5 600 40 4 2 TIMBER LAKE 32-0058P 3219 5 40 4 2 HERON LAKE 32 0057P 3219.5 40 4 2 HERON LAKE 32-0057P 3213.3 100 4 2 56-0645P 5613.3 100 4 2 56-0630P 5616.3 500 100 1 3 BLUE EARTH RIVER 76.7 400 160 4 2 MCIVER LAKE 61-0199P 613.0 300 40 1 3 CROW RIVER N BRANCH 478.1 28 4 3 CROW WING RIVER 1113.0 600 85 4 2 MCCLOUD LAKE 61-0024P 6138.0 190 4 3 BUFFALO RIVER S BRANCH 1440.0 600 200 1 2 UPPER LIGHTENING LAKE 56-0957P 5613.3 6 4 5 3
126.0 800 314 4 5 846.7 160 4 3 TWO RIVER S BRANCH 357.5 45 4 3 SHELL RIVER 37.7 600 160 1 2 UPPER LIGHTENING LAKE 56-0957P 5613.0 400 75 4 2 VOLEN LAKE 56-0435P 566.6 60 4 2 DANE LAKE 56-0427P 5627.0 80 1 5 3527.0 80 1 5 3520.0 160 4 3 CAT RIVER 807.5 100 45 1 3 397.8 320 4 5 3513.3 80 1 2 56-0858P 5682.0 600 200 1 2 LONG LAKE 56-0210P 5682.0 600 200 2 5 5645.0 500 85 4 3 MISSISSIPPI RIVER 866.7 70 1 2 56-0858P 5643.9 600 115 3 7 296.0 398 96 4 3 MISSISSIPPI RIVER 8626.6 450 170 1 3 SAND HILL RIVER 6013.3 80 4 3 BLUFF CREEK 564.3 500 10 4 2 MARLU LAKE 61-0060P 614.0 35 4 2 GRUBB LAKE 21-0158P 218.3 50 1 2 SILVER LAKE 56-0224P 5620.0 700 100 4 3 LONG PRAIRIE RIVER 7713.3 50 4 2 LONG LAKE 56-0428P 5640.0 650 120 1 5 8039.0 240 4 3 OAK CREEK 56
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID16.7 140 4 3 OTTER TAIL RIVER 5620.1 800 80 4 3 LONG PRAIRIE RIVER 7713.0 40 4 2 MUD LAKE 15-0061P 1539.3 500 118 1 5 806.0 20 4 7 296.7 200 8 4 2 BELLE TAINE LAKE 29-0146P 2913.3 80 4 3 RED RIVER OF THE NORTH 4527.0 1,200 160 1 3 LONG PRAIRIE RIVER 7727.0 1,200 160 1 3 LONG PRAIRIE RIVER 7724.4 80 4 3 ROBERTS CREEK 5020.0 600 200 4 3 ROCK RIVER 671.0 4 4 2 03-0128W 36.7 600 85 4 3 MINNESOTA RIVER 521.7 550 10 4 2 ROUND LAKE 32-0069P 327.5 500 100 1 2 MCCLOUD LAKE 61-0024P 616.7 80 1 3 SLEEPY EYE CREEK 6413.0 600 33 1 3 MIDDLE FORK CROW RIVER 4720.0 1,200 200 4 3 SWAN 1120.0 1,200 200 4 3 SWAN 1118.3 110 4 3 ELK RIVER 715.2 800 160 4 3 OTTER TAIL RIVER 5616.3 700 45 4 3 COTTONWOOD 6425.3 700 70 4 3 COTTONWOOD 6454.0 450 75 4 3 MISSISSIPPI RIVER 861.7 10 4 2 CRYSTAL LAKE 69-0645W 6920.0 600 166 4 3 REDEYE RIVER 8060.0 1,000 10 1 3 PRAIRIE RIVER 3132.5 700 90 4 3 PLUM CREEK 6410.0 300 30 4 3 WATONWAN RIVER 730.0 900 100 4 3 PARTRIDGE 8013.6 70 1 2 56-0657P 567.0 850 40 4 3 REDEYE RIVER 8032.5 600 81 3 5 8032.5 600 81 1 5 8013.3 500 80 4 3 WING RIVER 8020.0 110 1 3 LEAF RIVER 5620.0 700 320 4 3 POMME DE TERRE RIVER 7645.0 110 4 3 TAMARAC RIVER 2119.6 600 60 1 6 3512.0 30 1 3 ELK RIVER 718.4 35 4 4 716.5 500 60 4 2 82-0051W 8224.0 508 150 4 2 SWEDE LAKE 10-0095P 1039.7 550 100 1 6 1221 3 800 120 4 3 CROW RIVER 3421.3 800 120 4 3 CROW RIVER 348.2 500 50 4 5 3719.2 1,500 124 3 2 GOOSE LAKE 42-0093P 4219.2 1,500 124 1 2 ISLAND LAKE 42-0096P 4246.7 1,600 480 1 3 LONG PRAIRIE RIVER 7713.3 600 120 4 3 TURTLE 7716.7 750 100 4 3 LONG PRAIRIE RIVER 776.7 300 40 4 3 CROW RIVER N BRANCH 735.0 300 51 4 3 MISSISSIPPI RIVER 183.4 400 21 4 2 ALICE LAKE 61-0032P 618.0 300 25 4 5 7730.0 500 80 1 3 ASHLEY CREEK 6113.3 120 4 3 SAND HILL RIVER 6026.7 120 4 3 SAND HILL RIVER 606.7 40 4 4 566.7 40 4 4 567.0 850 40 4 3 HAY CREEK 8018.6 500 114 1 3 REDEYE RIVER 566.7 840 40 4 2 BUFFALO LAKE 03-0350W 3.3 50 4 4 3 LONG 14
120.0 2,000 320 1 5 84120.0 2,000 320 1 5 84
2.5 15 4 7 291.7 50 10 4 3 CROW WING RIVER 8025.0 80 4 5 QOW 3513.1 320 4 3 RED LAKE RIVER 6014.7 160 4 3 RED LAKE RIVER 6013.0 130 4 3 RED RIVER OF THE NORTH 6023.7 700 185 4 3 RED RIVER OF THE NORTH 6023.7 700 185 4 3 RED RIVER OF THE NORTH 603.9 25 4 2 ALBERTSON LAKE 03-0266P 362.0 1,200 776 3 3 RED LAKE RIVER 6062.0 1,200 776 3 3 RED LAKE RIVER 6062.0 1,200 776 1 3 RED LAKE RIVER 6062.0 1,200 776 1 3 RED LAKE RIVER 6062.0 1,200 776 1 3 RED LAKE RIVER 6062.0 1,200 776 1 3 RED LAKE RIVER 6062.0 1,200 776 1 3 RED LAKE RIVER 60
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID13.0 80 4 4 FARM POND 563.0 400 35 4 2 LONG LAKE 56-0428P 563.3 650 80 4 3 MISSISSIPPI RIVER 499.8 600 100 1 3 ST AUGUSTA 736.6 600 40 4 2 GROVE LAKE 61-0023P 615.0 450 25 4 2 WESTPORT LAKE 61-0029P 613.3 700 20 4 3 CROW CREEK 643.3 700 70 4 3 REDWOOD RIVER 64.6 40 4 4 3 WATONWAN RIVER 7
4.4 450 80 4 3 343.3 450 60 4 2 WEST SOLOMAN LAKE 34-0245P 343.0 300 30 1 3 CHIPPEWA RIVER 123.0 300 30 1 3 CHIPPEWA RIVER 1210.5 600 65 4 2 CANNON LAKE 66-0008P 667.0 650 20 4 3 SHELL ROCK RIVER 247.0 650 20 4 3 SHELL ROCK RIVER 247.0 550 80 4 3 VERMILLION RIVER 1917.6 550 54 4 4 6622.8 500 140 1 3 VERMILLION RIVER 1913.0 400 80 4 3 ELK RIVER 716.5 600 69 4 3 CEDAR 5021.4 1,000 120 1 7 7921.4 1,000 120 1 7 7920.0 80 4 3 ELK RIVER 7145.6 1,000 140 1 6 8420.0 120 4 5 548.7 80 4 3 OTTER TAIL RIVER 38.7 80 4 2 JONES LAKE 56-0447P 312.0 80 4 3 OTTER TAIL RIVER 5613.0 600 80 4 5 8023.0 250 80 4 5 533.0 125 200 4 7 58.0 400 23 1 5 808.0 600 50 1 3 CROW RIVER N BRANCH 8648.1 550 120 1 5 8051.0 700 125 3 5 7718.0 550 80 1 2 KURITZA SLOUGH 77-0124W 7720.0 500 120 4 4 COUNTY DITCH 28-1 847.0 600 160 1 4 COUNTY DITCH 28-1 812.7 350 78 4 3 THREE MILE CREEK 4232.6 600 90 1 6 8312.0 700 60 1 2 ROUND LAKE 47-0102P 4738.0 600 320 1 5 3715.0 500 100 4 3 WATONWAN RIVER 76 6 650 57 4 3 SHELL ROCK RIVER 246.6 650 57 4 3 SHELL ROCK RIVER 2410.0 650 55 1 5 2413.3 650 100 4 3 SHELL ROCK RIVER 244.0 650 80 4 4 COUNTY DITCH 16 2420.4 1,600 125 1 3 MISSISSIPPI RIVER 220.4 1,600 125 1 3 MISSISSIPPI RIVER 220.0 500 175 1 3 VERMILLION RIVER 1913.3 550 75 4 3 VERMILLION RIVER 191.7 450 10 4 3 VERMILLION RIVER 196.1 500 40 4 5 26.7 600 41 4 2 TURTLE LAKE 82-0036P 8221.5 600 132 4 2 BARKER LAKE 82-0076W 8212.9 600 79 4 2 MAPLE MARSH 82-0038W 823.2 600 20 4 2 8226.7 160 4 5 5647.0 800 115 4 5 616.6 50 4 3 SAND HILL RIVER 6045.0 600 110 4 2 LONG LAKE 56-0210P 5628.0 73 1 7 FRANDSEN SLOUGH 2913.3 4 3 BLUFF CREEK 5640.0 120 4 5 5626.7 800 110 1 3 STRAIGHT 2913.3 90 4 3 REDEYE RIVER 566.5 38 4 7 569.5 75 35 1 3 CLEARWATER RIVER 639.5 75 35 3 3 CLEARWATER RIVER 639.5 75 35 3 3 CLEARWATER RIVER 632.3 18 4 7 5613.0 500 76 1 3 RED LAKE RIVER 6019.6 120 4 3 RED LAKE RIVER 6015.0 228 4 3 RED LAKE RIVER 6019.0 600 135 1 3 SAND HILL RIVER 6013.8 800 100 4 2 WESTPORT LAKE 61-0029P 616.1 600 50 4 2 LONG LAKE 56-0210P 5645.0 1,000 160 1 5 5616.6 500 200 4 3 OTTER TAIL RIVER 8465.0 900 181 3 5 567.0 30 4 3 RED RIVER OF THE NORTH 60
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID4.3 25 4 3 BLUFF CREEK 5623.0 200 4 5 5610.8 100 4 3 OTTER TAIL RIVER 563.3 20 4 3 OTTER TAIL RIVER 563.5 500 30 4 2 HOLTZ LAKE 56-0661P 564.0 200 25 4 2 LOON LAKE 03-0489P 39.8 500 80 1 2 NORTH TURTLE LAKE 56-0379P 5621.7 65 3 2 HORSEHEAD LAKE 56-0022P 561.2 100 3 4 3 PELICAN 5626.1 240 1 3 LONG 1448.0 144 4 5 268.7 26 4 5 563.4 21 4 2 56-0319W 569.2 40 4 5 569.6 100 4 3 RED LAKE RIVER 63.9 200 40 1 2 SWAN LAKE 75-0056P 75
3.3 125 24 4 3 RED LAKE RIVER 606.6 40 4 3 RED LAKE RIVER 608.8 1,200 70 4 3 BUFFALO S BRANCH 1413.0 80 4 5 5611.4 1,200 200 4 3 BUFFALO S BRANCH 146.5 1,200 130 4 3 BUFFALO S BRANCH 1412.5 75 4 2 HARRISON LAKE 56-0934P 5613.0 198 4 3 LONG 1420.0 1,000 120 1 5 801.7 200 10 4 3 REDEYE RIVER 803.5 450 10 4 3 SWAN 4913.3 500 80 1 2 TWIN ISLAND LAKE 77-0166P 7727.0 500 80 4 5 7319.5 550 60 1 3 ELK RIVER 7120.0 550 60 4 5 5814.0 550 34 4 3 TURTLE 7743.3 650 130 4 5 7713.3 600 120 1 3 ELK RIVER 7113.0 700 40 4 3 ELK RIVER 7146.6 800 140 1 5 15 8013.3 600 40 1 5 8031.2 600 110 1 5 8063.3 600 120 1 5 8013.3 600 80 4 3 LEAF RIVER 8031.0 600 95 3 2 SCHOOL LAKE 73-0173 736.5 600 40 4 3 FISHTRAP 7743.3 650 130 4 3 CROW WING RIVER 8060.7 800 180 3 5 8040 1 850 100 3 5 7740.1 850 100 3 5 7719.5 300 60 4 2 TWIN LAKE 18-0148W 1831.4 650 188 1 3 MISSISSIPPI RIVER 736.5 400 140 1 3 ELK RIVER 7113.3 500 80 4 5 8016.2 450 78 1 5 8013.3 600 40 4 5 498.3 500 50 1 2 GUNNIK LAKE 30-0124W 304.3 400 20 1 3 ELK RIVER 715.3 350 18 4 5 1120.0 600 80 1 3 LITTLE MORAN 774.7 500 4 2 ERICKSON LAKE 30-0045W 3013.3 500 80 4 4 COUNTY DITCH 25 778.5 450 54 1 3 MISSISSIPPI RIVER 7119.6 450 60 3 5 4933.3 500 100 4 5 5815.6 500 110 4 2 05-0010W 513.3 350 40 4 3 LONG PRAIRIE RIVER 775.0 400 4 3 SKUNK RIVER 492.0 170 6 4 3 7122.3 550 69 4 5 5840.0 550 120 4 5 7716.3 550 100 4 5 779.8 550 60 4 5 7710.0 500 90 4 2 SCHACKMAN LAKE 73-0079P 733.2 400 40 4 7 7711.2 500 32 1 2 PAULEY LAKE 77-0103P 777.0 500 80 1 2 DEER LAKE 77-0093P 7713.0 500 40 1 5 8053.2 700 130 4 5 8040.1 650 100 1 5 8040.0 500 120 4 2 49-0227W 4913.3 600 30 4 3 CHIPPEWA RIVER 1231.5 600 75 1 5 536.5 600 80 4 3 BEAVER CREEK 6510.8 1,000 68 4 3 BLUE EARTH RIVER 79.4 1,000 59 1 3 BLUE EARTH RIVER 713.3 900 160 1 4 JUDICIAL DITCH 8 76
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID12.7 600 100 1 3 JUDICIAL DITCH 7 6516.6 500 100 4 4 COUNTY DITCH 28-1 86.5 600 40 4 4 COUNTY DITCH 23 3447.0 1,000 280 1 2 LAKE ELYSIAN 81-0095P 8136.0 500 163 4 5 5921.0 500 131 1 5 5921.0 500 131 1 5 592.7 450 25 4 3 THREE MILE CREEK 4213.3 400 60 4 4 COUNTY DITCH 5 8110.5 500 100 4 5 726.6 800 160 4 5 7221.7 800 110 4 3 MINNESOTA RIVER 8743.4 130 4 5 341.0 132 6 4 2 BIG STONE LAKE 06-0152P 66.1 45 56 4 3 YELLOW MEDICINE RIVER 8710.0 140 4 3 CENTER CREEK 4613.3 80 4 3 4620.0 500 125 4 3 MINNESOTA RIVER 877.0 250 50 4 3 595.5 400 35 4 2 BIG KANDIYOHI LAKE 34-0086P 3476.4 2,400 220 1 3 CHIPPEWA RIVER 7676.4 2,400 220 1 3 CHIPPEWA RIVER 7676.4 2,400 220 1 3 CHIPPEWA RIVER 7612.0 700 40 4 3 DES MOINES RIVER 173.3 10 4 5 3431.7 600 74 4 3 BLUE EARTH RIVER 712.6 600 80 4 3 BLUE EARTH RIVER 726.7 400 117 1 3 YELLOW MEDICINE RIVER 8725.0 600 96 4 3 BEAVER CREEK 6522.6 65 110 1 2 RINGO LAKE 34-0172P 346.7 300 4 7 836.5 800 74 4 3 CEDAR 5023.0 800 262 4 3 CEDAR 5013.5 600 160 4 3 ORCHARD CREEK 5018.0 600 110 1 3 STRAIGHT RIVER 6617.0 800 160 1 5 2446.6 1,000 140 1 5 2413.0 564 80 4 5 60 2411.4 400 70 4 3 ZUMBRO RIVER N BRANCH 796.5 650 40 4 3 SHELL ROCK RIVER 24.8 550 25 4 7 79-0019W 79
8.3 50 4 5 7413.0 550 26 4 3 VERMILLION RIVER 194.4 500 15 1 3 VERMILLION RIVER 195 0 450 30 1 4 COUNTY DITCH 71 25.0 450 30 1 4 COUNTY DITCH 71 25.0 750 30 4 3 VERMILLION RIVER 197.3 500 60 4 3 MINNESOTA RIVER 104.2 200 75 4 3 567.1 50 4 2 60-0045W 6010.0 120 4 2 MARIA LAKE 14-0099P 1425.0 500 60 4 5 566.7 400 80 4 3 CHIPPEWA RIVER 613.3 200 20 4 2 LONG LAKE 56-0210P 567.0 42 4 2 EAST ANNALAIDE LAKE 56-0001P 5645.0 500 110 4 5 566.7 60 4 2 SOLEM LAKE 14-0009P 1459.0 900 146 1 4 DITCH 40 8443.0 600 210 4 5 2141.0 1,000 128 4 5 2912.2 750 75 1 2 RUSCH LAKE 569.0 54 4 3 FISH HOOK RIVER 2965.0 195 4 5 36.7 20 4 5 567.7 23 4 5 568.7 26 4 5 5633.6 800 103 4 5 6131.9 98 1 5 5640.0 600 100 4 5 5619.6 1,200 140 1 3 WILD RICE RIVER 5419.6 1,200 140 3 3 WILD RICE RIVER 5490.0 280 4 5 5643.3 130 4 5 2150.0 600 120 4 5 5626.6 80 4 6 5610.0 30 4 5 35.0 18 4 3 RED LAKE RIVER 6020.0 500 60 4 5 614.9 400 30 4 2 MCIVER 61-0199P 6117.0 320 4 3 RED LAKE RIVER 6025.2 76 4 5 5627.0 700 80 4 5 6128.0 800 80 1 5 84
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID104.0 1,000 320 1 6 8421.0 64 4 5 561.7 200 8 4 2 LONG 44-0044P 4460.0 800 80 4 2 LONG LAKE 75-0024P 753.3 200 20 4 2 BERGERSON LAKE 03-0585P 328.0 120 4 5 5616.6 400 65 4 2 61-0059P 6152.1 160 4 5 5687.0 1,000 268 1 5 BENEDICT PIT 14
285.0 1,000 875 1 5 BENEDICT PIT 146.7 20 4 5 35.3 120 4 2 04-0264W 45.3 120 4 2 04-0264W 4
300.0 700 100 4 5 611.1 100 24 4 2 FIVE LAKE 56-0357P 562.0 100 6 4 5 2126.6 80 4 5 2112.1 1,000 70 1 3 RED LAKE RIVER 6012.1 1,000 70 3 3 RED LAKE RIVER 6010.9 67 4 3 RED LAKE RIVER 6021.6 65 4 5 5665.0 160 4 6 144.3 500 40 4 2 93.3 35 4 3 BLACKHOOF 93.3 250 20 4 3 KETTLE 924.4 600 75 4 5 7732.6 500 100 1 5 804.9 450 40 4 2 ZUMWALDE LAKE 73-0089P 7313.0 350 40 4 5 4910.8 550 65 4 3 LITTLE MORAN 7718.0 500 100 1 5 776.6 500 40 4 3 PINE 1144.0 750 110 1 5 8029.3 450 90 4 5 1129.3 450 90 4 5 1124.4 900 100 1 5 7316.0 600 56 1 5 7313.0 550 40 4 4 1311.0 550 40 4 5 1316.7 1,000 80 4 3 LONG PRAIRIE RIVER 7734.1 650 85 1 5 8020.0 500 70 4 5 7319.0 525 57 1 5 17 8022.3 400 80 1 5 8013 0 600 38 4 5 8013.0 600 38 4 5 8013.0 700 80 1 3 ELK RIVER 71
107.0 2,100 320 1 5 7325.0 650 80 1 5 8014.5 600 27 1 3 LONG PRAIRIE RIVER 776.6 550 25 4 6 DUNDER POND 49-0082P 4929.0 600 100 1 5 8016.3 400 50 4 5 7317.6 500 89 1 5 8032.5 600 100 4 5 7733.0 500 160 4 3 ELK RIVER 7125.2 500 80 1 5 7325.2 500 80 1 5 7373.1 1,305 164 1 5 8020.0 600 60 1 5 7313.3 595 40 4 5 7322.8 500 70 1 5 7333.3 600 200 1 3 CROW RIVER N BRANCH 8626.6 525 40 1 5 7333.3 500 100 4 5 1814.0 500 35 4 5 7314.0 500 35 4 5 7314.0 1,000 40 4 3 CROW WING RIVER 809.0 500 75 4 5 8029.0 500 100 1 5 7310.0 500 60 4 5 7313.3 400 40 4 5 1131.0 500 78 1 5 7313.0 800 130 4 5 4913.0 800 130 4 5 4918.3 500 55 4 5 7188.0 1,500 220 1 5 8016.6 500 40 4 3 MISSISSIPPI RIVER 8616.6 500 40 4 3 MISSISSIPPI RIVER 8640.0 500 120 4 5 735.0 450 53 4 3 SKUNK RIVER 4946.6 500 140 4 5 7351.3 500 154 4 5 73
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID16.0 260 100 4 5 3046.6 500 140 4 5 7311.0 1,000 40 1 6 543.3 430 130 1 5 8010.0 450 30 4 5 4910.0 600 60 4 2 RICE LAKE 71-0142P 7160.0 500 180 4 5 7323.3 650 70 4 5 8018.0 600 140 1 5 1326.6 800 80 4 5 1133.3 500 100 1 5 12 7371.0 600 150 4 5 1130.0 600 90 1 5 8036.6 550 110 4 5 5818.0 500 80 1 4 COUNTY DITCH 3 1329.0 1,000 180 1 4 COUNTY DITCH 1 1313.3 400 40 4 5 731.7 200 5 4 2 RICE LAKE 73-0196P 734.0 200 25 4 5 7134.4 500 120 1 5 7313.3 500 40 1 5 7120.0 250 60 4 5 737.8 450 40 4 5 806.6 450 40 4 3 LONG PRAIRIE RIVER 7720.5 400 84 4 5 7117.0 500 50 1 5 1119.5 500 60 1 5 526.3 500 90 1 5 73
.0 4 3 RUM RIVER 3013.3 50 40 4 5 4820.0 600 190 4 3 CROW WING RIVER 8040.0 750 120 1 5 8020.0 500 60 4 5 8020.0 600 60 4 3 LONG PRAIRIE RIVER 776.9 500 40 4 2 DONOVAN LAKE 05-0004P 517.6 400 186 4 3 ELK RIVER 7120.0 600 80 1 3 LONG PRAIRIE RIVER 7711.7 400 40 4 5 541.1 650 125 4 5 4920.0 650 80 4 5 5365.2 400 280 4 5 8310.0 1,500 80 4 3 MINNESOTA RIVER 525.3 500 40 4 4 4613.3 500 105 4 3 BEAVER CREEK 6512 0 507 41 4 5 4712.0 507 41 4 5 4746.0 800 137 1 5 5946.6 600 140 4 5 656.7 600 40 4 3 BEAVER CREEK 6513.3 600 80 4 3 BEAVER CREEK 656.0 400 56 4 3 YELLOW MEDICINE RIVER 8716.2 750 100 4 5 4757.0 140 4 5 3456.0 1,000 130 4 6 6556.0 1,000 130 4 5 6525.0 600 100 1 2 LAKE JEFFERSON 40-0092P 4033.0 900 290 1 4 173.6 500 15 4 5 513.6 500 15 4 5 5113.0 450 80 4 2 FOX LAKE 46-0109P 4653.0 2,000 160 4 4 COUNTY DITCH 22 6425.0 1,000 160 4 3 HAWK CREEK 1212.0 800 90 1 3 MINNESOTA RIVER 3726.1 400 80 4 5 8326.0 600 140 4 5 8339.0 60 160 4 2 WAGONGA LAKE 34-0169P 3416.3 450 100 1 3 POMME DE TERRE RIVER 7642.0 500 126 4 5 5917.0 200 40 4 3 BLUE EARTH RIVER 1717.0 200 40 4 5 1717.0 200 40 4 5 1753.3 600 160 4 5 5120.8 400 125 4 3 MINNESOTA RIVER 8726.1 500 80 1 5 6712.0 500 150 4 3 COTTONWOOD 6442.4 900 130 4 5 7640.0 500 120 4 5 5953.0 800 160 4 5 3748.9 550 150 1 5 16 7613.3 650 92 4 4 DITCH 23A 3427.0 600 160 4 3 SLEEPY EYE CREEK 833.3 250 300 4 4 COUNTY DITCH 102 6447.7 500 280 4 3 COTTONWOOD 64
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID15.6 1,200 100 4 3 BLUE EARTH RIVER 77.4 500 25 1 4 4316.7 500 50 4 5 6439.1 160 4 5 6444.0 750 130 1 5 5313.0 300 40 4 5 5150.0 800 150 1 6 876.5 500 40 4 5 5013.0 400 80 4 3 CEDAR 505.0 400 30 4 3 ROOT RIVER 2817.0 500 100 1 3 SHELL ROCK RIVER 246.5 650 60 4 3 SHELL ROCK RIVER 2417.0 450 110 1 5 2013.0 450 110 1 4 2026.0 600 160 4 3 ROOT RIVER 285.4 300 40 4 5 5013.1 500 80 4 6 236.7 500 40 4 6 231.3 400 8 1 2 US LOCK & DAM #3 POOL 25-0017P 256.6 500 69 1 3 CANNON 2541.0 500 140 4 3 VERMILLION RIVER 1941.0 500 140 4 3 VERMILLION RIVER 193.0 500 10 1 5 823.3 500 20 1 3 706.3 500 40 4 3 MISSISSIPPI RIVER 213.3 500 80 1 4 213.0 500 125 1 3 MINNESOTA RIVER 7013.0 500 125 1 3 MINNESOTA RIVER 2713.0 500 125 1 3 MINNESOTA RIVER 2721.6 600 130 4 3 1920.0 450 120 4 2 CEDAR LAKE 70-0091P 701.3 90 8 4 3 VERMILLION RIVER 196.6 750 40 4 3 CROW RIVER 1020.0 212 4 5 5626.0 500 80 4 3 LONG 148.0 400 126 1 2 MCCLOUD LAKE 61-0024P 6110.0 30 4 5 562.3 150 20 4 4 923.3 500 70 4 5 7313.0 800 140 1 3 JOHNSON CREEK 736.6 300 40 4 3 CROW WING TRIB 8026.6 500 80 4 5 8026.6 500 80 4 5 116.6 390 30 4 3 ELK RIVER 7125 0 550 75 4 3 5825.0 550 75 4 3 584.3 100 10 4 5 7720.0 550 60 4 5 802.6 265 16 4 2 30-0063W 309.3 400 28 4 5 7126.0 450 39 1 3 ELK RIVER 7113.3 500 40 1 5 526.6 600 80 1 5 15 8046.6 600 140 4 5 716.6 450 20 4 5 COUNTY DITCH 11 7136.6 1,000 110 1 5 7136.6 1,000 110 1 5 7140.0 600 140 4 7 716.6 500 30 4 3 ELK RIVER 7116.6 400 50 4 3 LESUEUR RIVER 713.0 350 180 1 3 COTTONWOOD 817.2 500 40 4 7 86.0 400 18 1 5 6416.0 400 40 4 3 POMME DE TERRE RIVER 7620.0 500 144 4 5 5013.3 450 100 4 2 POOL THREE US LOCK & DAM #3 P 25-0017P 2513.3 600 54 4 3 VERMILLION RIVER 1920.0 500 60 4 5 709.6 500 29 1 5 7053.0 700 130 4 5 614.2 25 4 2 DEVILS LAKE 56-0245P 5630.0 120 4 3 BUFFALO RIVER S BRANCH 1413.0 800 80 4 3 OTTER TAIL RIVER 8413.0 39 4 5 5449.0 800 120 1 5 611.0 450 17 4 3 PRAIRIE 3113.3 900 130 4 3 CROW WING RIVER 8024.0 1,000 60 4 5 8012.0 800 40 4 5 8060.4 950 145 1 5 803.0 450 18 4 3 MISSISSIPPI RIVER 4915.0 500 60 4 3 HAY CREEK 118.0 500 150 1 2 LONG LAKE 77-0086P 77
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID20.8 500 50 1 5 1130.0 600 100 1 3 COTTONWOOD 812.2 700 40 4 3 BLUE EARTH RIVER 711.3 700 40 4 3 BIG COBB 77.0 400 40 1 4 COUNTY DITCH 25 248.0 300 35 4 5 6640.0 580 93 4 3 VERMILLION RIVER 192.9 80 7 4 3 BUFFALO RIVER N BRANCH 1445.6 600 155 1 3 REDEYE RIVER 565.0 40 4 3 MIDDLE 3535.3 500 120 4 5 4922.2 450 80 4 5 7322.2 450 80 4 5 7320.0 500 75 4 3 ELK RIVER 518.0 380 65 4 5 7312.0 600 38 1 5 7312.0 600 38 1 5 7326.1 475 65 1 5 8020.0 650 110 4 2 PELICAN LAKE 86-0031P 868.0 700 82 1 5 436.6 400 30 4 3 8765.0 800 175 1 3 LAC QUI PARLE 3765.0 800 175 1 5 378.0 350 55 4 2 WHITE LAKE 24-0024P 245.0 250 30 4 4 2413.0 450 78 4 2 BIG PINE LAKE 56-0130P 5618.0 43 4 5 5630.0 72 4 5 5625.0 800 302 1 3 RED RIVER OF THE NORTH 6025.0 800 302 1 3 RED RIVER OF THE NORTH 6025.0 800 302 1 3 RED RIVER OF THE NORTH 604.0 550 12 4 5 216.7 450 30 4 3 TWO RIVER 3526.0 600 65 1 5 5616.0 500 40 4 5 5611.0 1,500 80 4 3 RED LAKE RIVER 6017.0 500 50 4 3 BUFFALO 1416.0 800 100 4 3 OTTER TAIL RIVER 8412.0 700 70 4 3 OTTER TAIL RIVER 8420.0 500 67 4 2 BIG PINE LAKE 56-0130P 56
.7 280 4 4 5 3
.7 280 4 4 5 313.0 500 120 1 2 WOLF LAKE 03-0101P 313.0 800 80 1 3 FISH HOOK RIVER 297 0 135 4 3 CLEARWATER RIVER 157.0 135 4 3 CLEARWATER RIVER 1518.0 140 4 3 CLEARWATER RIVER 1518.0 140 4 3 CLEARWATER RIVER 1527.0 750 130 4 3 WILD RICE RIVER 5420.0 400 60 4 3 SEDAN BROOK 6136.7 450 90 4 5 61-0307W 61
143.0 1,900 350 1 6 1457.0 1,000 138 4 5 1457.0 1,000 138 4 5 1437.0 850 130 4 5 7121.0 550 50 1 5 7753.0 800 159 4 3 CROW RIVER N BRANCH 7326.0 600 100 4 3 RICE CREEK TRIBUTARY 7110.8 500 35 1 3 LONG PRAIRIE RIVER 7713.0 550 70 4 3 LONG PRAIRIE RIVER 7713.0 500 35 1 3 LONG PRAIRIE RIVER 0 774.0 550 16 4 7 7324.0 500 60 4 5 8017.1 500 85 1 7 71-0120W 7110.0 500 80 1 2 STUB LAKE 73-0252P 7311.0 350 65 4 3 MORAN 778.6 500 70 1 2 DONOVAN LAKE 05-0004P 521.0 700 73 4 3 CROW RIVER N BRANCH 4747.0 600 120 4 3 SLEEPY EYE CREEK 872.0 650 200 4 3 PIPESTONE CREEK 5911.0 500 40 4 5 4727.0 500 70 4 3 MINNESOTA RIVER 748.0 500 125 4 6 6717.0 500 40 4 5 5935.0 450 209 4 3 3480.0 500 45 4 4 COUNTY DITCH 9 8719.0 400 50 1 5 792.5 450 30 4 3 PRAIRIE CREEK 662.0 500 13 4 3 LITTLE CANNON 257.8 450 95 1 3 PRAIRIE CREEK 2513.0 500 80 4 4 JUDICIAL DITCH 24 247.0 500 50 1 3 VERMILLION RIVER 1913.0 500 80 4 3 VERMILLION RIVER 19
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID3.5 300 25 4 5 0 213.0 600 80 4 3 COON CREEK 213.0 500 75 4 3 VERMILLION RIVER 1913.3 500 120 4 3 VERMILLION RIVER 196.1 600 52 1 2 HEAD LAKE 56-0213P 569.0 33 4 2 SOUTH RICE LAKE 56-0352P 564.0 20 4 3 BOIS DE SIOUX TRIBUTARY 7884.0 800 100 4 5 211.0 150 4 4 3 MISSISSIPPI RIVER 317.0 450 30 4 3 SUNRISE RIVER 134.0 400 23 1 3 MISSISSIPPI RIVER 7169.0 950 169 1 5 116.6 450 25 4 7 7123.5 550 80 4 5 7118.0 600 4 3 MISSISSIPPI RIVER 52.2 150 15 4 2 86-0313W 863.3 500 4 5 865.0 500 4 5 8620.0 400 70 4 5 7310.0 900 60 4 5 FARM POND 4258.0 800 133 1 5 597.0 500 46 1 3 WATONWAN RIVER 8318.0 500 46 4 6 8316.0 500 40 4 5 4639.0 500 100 4 5 4639.0 500 100 4 5 4642.0 500 130 1 5 425.0 600 12 4 7 377.0 500 41 4 3 CANNON 2520.0 600 125 1 3 1920.8 400 150 4 3 MAHONEY BROOK 220.8 400 150 4 5 271.0 175 4 5 5665.0 1,000 160 4 6 1439.0 650 95 4 7 WETLAND CHANNEL 61-0307W 6166.0 800 160 1 6 1474.0 800 180 4 4 1474.0 800 180 4 4 1474.0 800 180 4 4 1422.0 500 80 4 4 JUDICIAL DITCH 4 213.5 265 28 1 3 MISSISSIPPI RIVER 315.0 600 30 4 3 DEER 3120.0 350 80 4 5 7120.0 350 80 4 5 714 8 400 50 4 3 ELK RIVER 714.8 400 50 4 3 ELK RIVER 7135.0 550 106 1 5 4935.0 550 106 3 5 4935.0 550 106 3 5 4919.5 400 82 4 5 8619.0 600 100 1 5 803.3 450 20 1 7 13-0129W 1313.3 600 100 4 3 NOKASIPPI RIVER 186.0 450 25 1 7 736.0 450 25 3 7 7319.0 400 88 4 3 733.0 100 10 4 3 CROW RIVER N BRANCH 8646.6 900 160 1 6 7712.5 300 40 1 3 SAUK RIVER 737.3 500 25 1 5 7316.6 500 100 4 3 SAUK RIVER 734.4 400 20 4 5 7719.3 500 66 4 5 7330.0 700 70 1 2 HANSKA 08-0026P 813.0 500 50 4 3 COTTONWOOD 84.4 500 40 4 4 DITCH 37 463.3 1,000 15 4 5 531.5 1,000 6 4 2 OCHEDA LAKE 53-0024P 538.3 300 48 4 2 HYDES LAKE 10-0088P 106.8 500 30 4 2 WHITE ROCK LAKE 82-0072P 822.0 200 8 4 5 1914.0 600 100 4 5 827.0 500 20 4 7 56-1332W 5622.0 600 66 4 5 MUD LAKE 56-0222P 5622.0 600 66 4 2 MUD LAKE 56-0222P 562.0 500 5 4 3 PIKE RIVER 691.0 500 4 4 4 4914.0 600 30 1 3 ELK RIVER 7114.0 600 30 1 3 ELK RIVER 7155.0 800 135 4 5 8029.3 1,000 100 4 3 HAY CREEK 4918.0 500 65 4 4 COUNTY DITCH 34 7718.0 500 65 4 4 COUNTY DITCH 34 77
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID14.5 400 50 4 5 7314.5 400 50 4 5 736.6 40 30 4 5 COUNTY DITCH 1 8018.3 450 80 4 3 ELK RIVER 7116.6 600 50 4 4 JUDICIAL DITCH 3 73
.4 50 12 4 5 3020.0 500 60 4 5 717.0 300 35 4 5 7146.0 1,200 225 1 3 ASHLEY CREEK 7746.0 1,200 225 1 3 ASHLEY CREEK 7712.9 500 30 1 5 178.3 500 38 1 3 BLUE EARTH RIVER 73.5 600 80 4 2 GILLMAN LAKE 08-0035P 816.0 500 37 1 5 20 876.7 500 40 1 3 HIGHWATER CREEK 1713.0 500 80 1 3 1713.0 500 80 1 3 1713.3 500 80 4 3 YELLOW MEDICINE RIVER 8715.0 700 111 4 3 CHIPPEWA RIVER E BRANCH 767.0 500 100 4 2 EAST ANDREW NELSON LAKE 47-0073P 4713.3 400 40 1 4 JUDICIAL DITCH 17 4715.0 500 35 4 6 8315.0 500 40 4 6 2415.0 500 40 4 3 SHELL ROCK RIVER 243.0 100 25 4 2 PICKERAL LAKE 24-0025P 246.7 500 25 1 2 LARSON LAKE 25-0016W 252.8 500 17 4 3 704.1 300 14 4 5 1023.0 350 80 1 3 VERMILLION RIVER 1941.0 700 100 1 7 6114.0 500 35 1 5 5611.0 1,000 40 1 6 351.6 450 10 4 3 SNAKE RIVER 3313.3 500 80 4 7 18-0474W 185.6 400 34 4 3 LONG PRAIRIE RIVER 7726.6 450 120 4 5 1120.0 500 65 1 5 802.5 500 15 4 7 73-0030W 7322.0 450 80 4 5 7328.0 500 70 1 5 8016.0 1,100 145 4 2 RICE LAKE 11-0162P 111.6 500 20 4 7 73-0366W 7310.0 500 45 1 5 736.6 600 40 4 3 PLATTE 4920 8 600 75 1 5 7320.8 600 75 1 5 7334.0 600 88 4 5 802.0 200 11 4 3 SNAKE RIVER 3341.0 600 100 1 5 776.0 600 90 4 4 8610.0 500 60 1 3 MISSISSIPPI RIVER 497.0 300 40 1 3 ELK RIVER 7113.0 500 40 4 3 POMME DE TERRE RIVER 7620.0 500 50 1 3 COTTONWOOD 816.0 500 100 1 3 COTTONWOOD 816.0 500 100 2 7 812.0 300 70 1 4 81.3 200 8 4 3 RUM RIVER 245.0 1,000 75 4 3 RED RIVER OF THE NORTH 8440.0 1,000 240 1 3 FISH HOOK RIVER 2912.0 250 32 4 5 611.0 275 2 4 2 03-0759P 335.0 350 87 4 5 2122.0 500 100 1 5 737.0 500 40 4 3 CROW WING RIVER 807.0 450 22 4 7 7314.0 450 127 4 5 DUG PIT/UNNAMED TRIBUTARY 736.6 625 75 1 3 NORTH FORK CROW RIVER 7313.0 1,000 30 4 4 JUDICIAL DITCH 7 3410.5 500 38 1 3 BLUE EARTH RIVER 716.0 500 65 4 6 3253.3 1,000 160 4 6 5326.0 600 110 4 5 206.5 197 60 1 3 PRAIRIE CREEK 2515.0 450 55 1 3 VERMILLION RIVER 191.0 350 3 1 3 CLEARWATER RIVER 155.4 500 10 4 3 POMME DE TERRE RIVER 7528.0 450 70 1 5 561.7 600 7 4 3 ST LOUIS RIVER 6910.0 600 30 1 5 7310.0 600 30 1 5 736.7 600 20 1 3 SAUK RIVER 7313.3 450 75 4 3 SAUK RIVER 73
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID32.6 450 100 4 5 115.8 800 68 4 3 RUM RIVER 4835.0 650 120 4 5 1811.6 500 40 1 3 MISSISSIPPI RIVER 494.2 450 60 4 3 276.6 1,000 85 1 2 MARLU LAKE 61-0060P 6132.0 600 80 4 5 563.0 150 18 4 3 RED LAKE RIVER 603.0 150 18 4 3 RED LAKE RIVER 6012.9 1,200 130 1 3 RED RIVER OF THE NORTH 609.7 200 30 1 5 91.4 50 4 4 6 695.5 400 50 1 5 8018.3 600 72 4 3 RUM RIVER 4814.0 600 35 4 5 8023.0 600 80 1 5 4923.0 350 97 1 3 SAND CREEK 588.7 500 39 1 3 732.0 80 2 4 5 1111.0 500 50 4 4 COUNTY DITCH 44 7717.0 1,000 60 1 5 713.3 400 10 4 4 865.5 600 19 4 3 SAUK RIVER 7314.3 600 43 1 3 SAUK RIVER 733.3 400 10 4 4 PRIVATE DITCH 866.7 500 40 4 3 TWO RIVER 4910.0 500 35 4 5 119.2 450 55 4 7 71-0152P 718.0 450 35 4 2 CLEAR LAKE 71-0153P 7126.0 550 90 4 5 7143.0 800 150 1 5 717.0 475 69 1 2 MCCLOUD LAKE 61-0024P 6144.6 475 110 1 5 5673.0 750 445 4 3 RED LAKE RIVER 6073.0 750 445 4 3 RED LAKE RIVER 6073.0 750 445 4 3 RED LAKE RIVER 6052.1 500 160 4 5 218.2 600 50 4 5 DELANEY POND 5638.0 800 96 4 5 5610.3 600 45 4 3 OTTER TAIL RIVER 5652.1 550 160 4 5 567.8 450 50 4 2 MAPLE LAKE 21-0079P 2114.3 600 35 4 5 563.5 120 13 4 3 RED LAKE RIVER 5760 6 800 149 4 5 5660.6 800 149 4 5 5620.0 600 50 4 5 12 5665.2 1,000 160 1 5 5620.0 500 50 4 5 5620.0 500 49 1 5 2119.0 750 115 1 3 SAND HILL RIVER 602.5 600 30 4 3 MISSISSIPPI RIVER 7131.0 400 75 1 5 809.0 200 52 4 5 7347.0 450 4 5 7324.0 600 82 4 5 4813.3 300 40 1 5 7378.0 500 200 1 5 7322.0 500 75 4 5 524.0 300 60 3 5 COUNTY DITCH 28 7713.0 500 100 1 7 BENZ LAKE 77-0079W 7713.0 500 100 1 4 COUNTY DITCH 28 7725.0 400 62 1 5 8028.0 1,000 68 4 5 802.5 500 15 1 3 LITTLE TWO 492.5 500 15 3 3 LITTLE TWO 492.5 300 2 4 5 8010.0 600 30 1 5 7341.0 1,000 251 1 4 133.0 205 10 4 5 18
112.5 500 395 1 4 PRIVATE DITCH 7135.0 500 160 1 4 1329.0 500 135 1 4 139.8 600 60 1 4 1337.0 600 130 1 4 1337.0 600 130 1 4 1334.0 600 100 1 4 13
112.5 500 395 1 4 COUNTY DITCH 1 7110.0 310 35 4 5 715.8 500 20 1 5 7329.3 600 72 1 5 8016.0 450 40 4 5 7722.0 500 85 1 3 SKUNK RIVER 49
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID17.0 600 50 1 5 7313.0 500 40 1 4 13
127.0 2,000 390 1 4 1313.0 500 40 1 4 1324.0 500 74 1 4 1326.0 500 80 1 4 137.0 500 58 1 3 TWO RIVER N BRANCH 492.7 400 16 1 3 CROW RIVER N BRANCH 863.3 400 20 1 3 CROW RIVER N BRANCH 8644.1 1,000 110 1 5 7723.0 500 55 4 5 8013.0 600 55 1 4 7161.1 600 215 1 5 4922.0 400 67 1 5 7318.0 500 46 4 5 7312.0 550 35 1 5 7328.5 200 100 1 5 3332.1 500 110 4 5 714.9 500 40 4 3 SLEEPY EYE CREEK 811.4 300 35 1 2 LAKE LEO 06-0148P 661.0 1,000 172 4 5 6713.0 600 130 1 3 REDWOOD RIVER 426.3 310 38 4 2 NORTH LAKE 25-0017P 258.8 500 50 1 2 NELSON LAKE 25-0017P 2512.0 500 60 1 4 COUNTY DITCH 79 245.7 300 28 4 3 ZUMBRO RIVER MIDDLE BR 553.0 200 10 4 3 STRAIGHT RIVER 741.0 50 5 4 3 BEAR CREEK 5513.8 450 50 1 3 ZUMBRO RIVER N BRANCH 7960.3 400 85 1 4 COON CREEK 217.7 400 25 1 4 COON CREEK 237.4 400 53 1 4 COON CREEK 23.3 500 20 4 3 MINNESOTA RIVER 2720.0 700 70 1 5 19
.8 200 5 4 7 293.3 200 20 4 7 2925.0 1,000 360 4 3 RED LAKE RIVER 6020.4 800 132 1 3 RED RIVER OF THE NORTH 6052.0 700 160 1 5 5611.3 1,000 70 1 3 RED LAKE RIVER 609.0 140 40 4 3 RED LAKE RIVER 6022.8 700 182 1 3 RED RIVER OF THE NORTH 6022.8 700 182 3 3 RED RIVER OF THE NORTH 6022.0 700 220 4 3 RED RIVER OF THE NORTH 6022 0 700 220 4 3 RED RIVER OF THE NORTH 6022.0 700 220 4 3 RED RIVER OF THE NORTH 6019.5 500 120 1 2 CHIPPEWA RIVER 615.5 360 17 4 3 RED RIVER OF THE NORTH 842.6 150 16 4 3 SAND HILL RIVER 0 6016.0 500 70 4 3 RED RIVER OF THE NORTH 604.4 1,000 22 1 3 RED LAKE RIVER 6032.0 550 80 4 5 5642.0 400 105 1 5 5624.0 700 420 4 3 RED LAKE RIVER 6024.0 700 420 4 3 RED LAKE RIVER 6018.0 850 40 4 3 RED RIVER OF THE NORTH 5418.0 850 40 4 3 RED RIVER OF THE NORTH 5418.0 850 40 4 3 RED RIVER OF THE NORTH 5418.0 850 40 4 3 RED RIVER OF THE NORTH 5418.0 850 40 4 3 RED RIVER OF THE NORTH 5418.0 850 40 4 3 RED RIVER OF THE NORTH 5448.8 3,000 150 1 3 GRAND MARAIS CREEK 6048.8 3,000 150 1 3 GRAND MARAIS CREEK 6048.8 3,000 150 1 3 GRAND MARAIS CREEK 6049.4 1,000 578 1 3 RED LAKE RIVER 60009A 608.0 450 50 4 5 313.0 500 55 4 3 SAND HILL RIVER 6025.0 1,150 230 1 3 RED RIVER OF THE NORTH 604.4 235 14 4 5 93.3 600 80 4 5 929.2 600 100 4 5 7122.0 800 65 4 5 LONG PRAIRIE RIVER 7711.0 600 28 1 5 8045.0 750 110 1 5 7722.0 800 60 1 5 7326.0 800 79 1 5 5832.1 600 80 1 5 8055.0 600 140 1 5 802.2 200 20 4 3 GROUNDHOUSE 3349.0 650 120 1 5 8024.0 500 60 1 5 806.6 30 40 1 3 SNAKE RIVER 5839.0 700 130 1 5 5
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID35.0 500 85 4 5 8029.0 1,000 70 4 5 8013.0 500 180 4 3 TYLER CREEK 416.5 450 37 4 4 COUNTY DITCH 28-1 89.9 800 30 4 2 MUD LAKE 3422.0 600 75 4 5 475.0 130 12 4 2 554.1 400 70 4 3 MINNESOTA RIVER 198.5 1,000 66 4 3 RED RIVER OF THE NORTH 6080.0 800 240 4 5 215.0 300 30 4 3 RED LAKE RIVER 6028.5 500 300 1 3 RED LAKE RIVER 6028.5 500 300 3 3 RED LAKE RIVER 6043.4 1,500 281 1 3 RED LAKE RIVER 6013.0 500 50 4 3 SAND HILL RIVER 6012.5 500 50 4 3 SAND HILL RIVER 6029.3 900 150 4 3 RED LAKE RIVER 6027.6 400 113 1 3 RED LAKE RIVER 6027.6 400 113 1 3 RED LAKE RIVER 6021.0 800 107 4 3 RED LAKE RIVER 6021.0 800 107 4 3 RED LAKE RIVER 6018.0 800 135 4 3 RED LAKE RIVER 6012.3 360 331 1 3 RED RIVER OF THE NORTH 842.0 360 10 4 3 OTTER TAIL RIVER 8421.5 800 132 4 6 6313.3 350 80 4 3 SAND HILL RIVER 6011.0 500 70 4 3 RED RIVER OF THE NORTH 6023.0 500 128 1 3 SAND HILL RIVER 6015.0 500 62 1 3 RED LAKE RIVER 6012.2 400 25 4 6 4523.0 800 138 1 3 RED RIVER OF THE NORTH 605.0 1,000 60 4 3 RED RIVER OF THE NORTH 601.7 200 6 4 2 POTATO LAKE 294.0 100 10 4 3 BATTLE S FORK 457.0 650 140 4 5 802.0 200 6 1 5 4923.0 400 56 1 5 8041.0 600 100 1 5 8042.3 800 145 1 5 7142.3 800 145 1 4 7115.2 500 40 4 5 82.0 150 4 3 STRAIGHT RIVER 662.5 500 15 1 5 2814.0 400 80 4 3 WILD RICE SOUTH BRANCH 142 6 720 16 4 3 OTTER TAIL RIVER 842.6 720 16 4 3 OTTER TAIL RIVER 8413.0 300 40 4 3 RED LAKE RIVER 6014.0 800 140 1 3 RED RIVER OF THE NORTH 6015.0 550 79 4 3 RED LAKE RIVER 6016.3 2,000 200 4 3 GRAND MARAIS CREEK 6019.3 800 160 4 3 RED RIVER OF THE NORTH 4512.0 500 40 1 5 7318.9 350 117 4 3 4037.3 350 229 4 4 COUNTY DITCH 51 4037.3 350 229 4 4 COUNTY DITCH 51 4037.3 350 229 4 4 COUNTY DITCH 51 4037.3 350 229 4 4 COUNTY DITCH 51 401.1 400 5 4 3 CANNON 6610.2 500 35 1 3 RED LAKE RIVER 607.4 300 40 4 3 RED LAKE RIVER 6049.0 800 120 1 5 6110.0 400 80 1 3 RED RIVER OF THE NORTH 6014.4 300 36 4 3 RED LAKE RIVER 604.9 600 41 1 3 RED LAKE RIVER 604.9 600 41 1 3 RED LAKE RIVER 6027.0 500 100 1 3 RED LAKE RIVER 6027.0 500 100 1 3 RED LAKE RIVER 6027.0 500 100 1 3 RED LAKE RIVER 6016.6 550 59 4 3 RED RIVER OF THE NORTH 6033.0 550 80 1 5 8010.6 500 65 1 3 RED RIVER OF THE NORTH 6013.0 500 80 4 3 OTTER TAIL 562.1 700 25 4 3 MIDDLE RIVER 4542.1 1,500 160 4 6 3576.5 1,500 290 1 6 356.5 850 59 4 2 REED LAKE 56-0876P 5612.5 600 75 1 4 778.2 600 49 4 5 776.8 200 25 4 6 356.3 800 99 1 3 RED RIVER OF THE NORTH 605.1 800 40 4 2 LONG LAKE 56-0428P 5646.0 400 281 4 5 456.5 300 40 4 2 BLACKHOOF LAKE 9
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID26.7 750 65 4 5 804.3 750 65 4 3 SNAKE RIVER 3324.6 750 60 4 5 809.0 960 105 1 3 RED LAKE RIVER 602.0 600 40 1 7 5617.6 800 108 4 3 RED LAKE RIVER 605.0 600 35 1 7 56-1339W 5698.0 1,000 301 4 6 40 8427.0 600 80 1 5 20 8017.0 600 51 1 5 20 8048.0 1,300 169 1 5 25 520.8 400 52 4 5 14 774.0 500 78 1 7 5619.0 700 132 1 3 SAND HILL RIVER 6024.0 600 60 1 5 10 5618.0 600 76 4 3 RAPID RIVER 398.8 800 162 4 3 RED LAKE RIVER 609.0 550 28 4 5 12 5652.1 550 130 3 5 617.0 550 40 4 7 7344.0 500 110 1 5 803.2 185 8 1 5 309.8 500 45 1 3 NORTH FORK CROW RIVER 8627.0 700 120 1 3 SAUK RIVER 736.5 700 90 1 3 SAUK RIVER 7334.1 500 120 1 5 4940.0 550 100 1 6 0 8021.0 600 62 4 7 73-0537W 7320.4 400 40 1 2 BIG TWIN LAKE 46-0133P 4618.0 500 80 1 2 LOVERA LAKE 21-0046P 2115.0 550 79 1 3 RED LAKE RIVER 607.0 450 50 1 2 CEYNOWA LAKE 56-0337P 566.0 700 20 1 3 ELK RIVER 528.5 550 100 1 5 309.8 350 60 1 3 MISSISSIPPI RIVER 497.0 550 35 1 7 7315.0 550 92 1 5 7320.0 600 133 1 3 SAUK RIVER 0 7339.1 800 130 1 4 JUDICIAL DITCH 8 7611.7 550 44 4 3 MISSISSIPPI RIVER 7919.0 550 225 1 4 COUNTY DITCH 13 28.0 450 72 1 4 6113.0 550 80 1 5 5640.1 400 100 1 5 807 0 450 65 4 3 SUNRISE RIVER N BRANCH 137.0 450 65 4 3 SUNRISE RIVER N BRANCH 1320.3 450 65 1 3 LONG PRAIRIE RIVER 7721.2 500 65 1 3 MINNESOTA RIVER 6530.0 300 90 1 3 6123.0 500 70 1 3 GETCHELL CREEK 7343.3 700 108 1 5 8028.0 500 70 1 5 8052.1 800 130 1 5 8030.0 650 75 1 5 801.9 75 6 1 2 LAKE SUPERIOR 16-0001P 6941.3 300 95 1 5 8017.0 550 52 1 3 CAT RIVER 805.3 240 55 1 3 BEVENS CREEK 1013.0 500 160 1 7 75-0273W 754.1 35 10 1 3 CHIPPEWA RIVER 218.2 600 38 1 5 7710.0 405 47 1 3 MISSISSIPPI RIVER 530.9 600 77 1 5 801.2 1,000 9 1 2 MADISON LAKE 07-0044P 719.5 300 220 4 3 NORTH FORK ZUMBRO RIVER 2520.0 450 50 4 5 0 8013.0 250 80 1 3 MISSISSIPPI RIVER 313.7 250 45 1 3 MINNESOTA RIVER 10
267.0 5,000 1010 1 6 3549.0 1,050 120 1 5 618.6 100 31 4 5 1910.0 425 34 4 5 4918.9 400 47 1 5 8011.9 600 40 1 2 CEYNOWA LAKE 56-0337P 5650.1 600 125 1 5 809.5 450 100 1 3 MISSISSIPPI RIVER 4940.1 600 100 1 5 771.6 300 10 4 3 MONEY CREEK 8514.3 550 34 1 5 806.0 120 35 1 2 POKEGAMA LAKE 31-0532 3111.0 500 110 1 2 LONG LAKE 73-0231P 737.1 800 37 1 2 WOLF LAKE 56-0345P 5618.0 500 125 1 3 LONG PRAIRIE RIVER 77004A 77
Permit Volume (MG) Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID17.0 600 120 1 2 AMOS LAKE 21-0293P 2113.5 600 120 1 2 THORSON LAKE 21-0294P 2126.1 600 60 1 5 8019.4 600 95 1 3 LONG PRAIRIE RIVER 7743.5 800 100 1 5 5613.0 400 1 5 778.1 500 25 1 2 WARNER 56-0516P 5612.2 500 38 1 2 SUNFISH 56-0512P 568.1 500 50 1 7 56-0314W 5619.9 500 70 1 5 496.5 500 53 1 3 SWAN RIVER 4925.0 500 75 1 5 7341.0 400 109 1 2 PELICAN LAKE 86-0031P 8613.0 500 40 1 2 WOLF LAKE 56-0345P 5634.8 400 80 1 5 80
113.7 400 400 1 5 4942.2 2,500 160 1 6 3543.0 500 130 1 5 736.0 500 35 1 3 BUTTERFIELD CREEK 83014A 837.5 500 35 1 3 ST JAMES CREEK 83009A 8310.9 500 25 1 2 562.0 240 8 1 3 MISSISSIPPI RIVER 7113.0 450 60 1 3 SAUK RIVER 7327.0 300 100 1 5 7110.0 125 30 1 5 7110.0 125 30 1 5 7110.0 125 30 1 5 716.5 330 60 1 5 3118.0 500 45 1 5 7710.8 260 27 1 5 119.8 600 40 1 2 CEYNOWA LAKE 56-0337P 5613.0 1,000 80 1 3 POMME DE TERRE 7515.0 1,000 97 1 3 POMME DE TERRE 7515.0 1,000 97 1 3 POMME DE TERRE 7526.5 600 66 1 5 809.0 400 40 1 2 MARLU LAKE 61-0060P 612.2 700 83 1 2 LAKE RENO 61-0078P 6115.0 1,050 526 1 5 7515.0 1,550 1136 1 5 75
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003million gallons
Otter Tail 56 135 42 8 BAAA .0 .0 .0 .0 .0 .9Sherburne 17 35 31 12 .0 .0 .0 .0 .0 .0Sherburne 17 32 26 4 BACC .0 .0 .0 .0 .0 .0
Martin 30 102 30 4Sherburne 17 35 28 4
Martin 30 102 30 20 .0 .0 .0 .0 .0 .0Stearns 15 126 28 28
Polk 63 151 49 16 CCAnoka 20 32 22 11 DD .0 .0 .0 .0 .0 .0Clay 57 140 48 21 CClay 58 139 47 16 DBC .0 .0 .0 .0 .0 .0Polk 61 147 48 19 BCA 10.9 11.3 14.6 .0 .0 .0
Douglas 26 130 40 34 DANobles 84 101 39 5 ACB .0 .0 .0 .0 .0 .0Grant 23 129 42 12 BB .0 .0 .0 .0 .0 .0
Marshall 67 155 50 32 BBB .0 .0 .0 .0 .0 .0Grant 54 130 44 12 B .0 .0 .0 .0 .0 .0Sibley 33 113 27 4
Jackson 51 104 37 18 DDAA .0 .0 .0 .0 .0 .0Douglas 16 128 36 26 B
Freeborn 49 102 21 36 DDD .0 .0 .0 .0 .0 .0Clay 58 140 47 32 D
Benton 17 36 30 2 BDBOtter Tail 56 134 39 30 DDOtter Tail 56 134 40 30 B .0 .0 .0 .0 .0 .0Otter Tail 56 137 42 8 CC
Grant 55 128 43 29 ABC .0 .0 .0 .0 .0 .0Rock 83 101 45 2 ACD .0 3.6 .0 .0 .0 .0Clay 58 139 46 6 B
Lincoln 25 112 45 2 .0 .0 .0 .0 .0 .0Brown 29 109 32 5
Hennepin 20 120 22 11 C .0 .0 .0 .0 .0 .0Mower 46 101 14 34 BAAMower 48 102 18 33 AAC .0 .0 .0 .0 .0 .0Carver 20 116 23 7 .0 .0 .0 .0 .0 .0
Freeborn 49 101 20 19 DCC .0 .0 .0 .0 .0 .0Mower 48 102 18 27 BCD .0 .0 .0 .0 .0 .0Nobles 84 102 39 31
Clay 58 141 48 23 CCCSherburne 20 32 26 24 BDCB 459644 5010524 10.2 13.2 9.2 6.2 6.0 8.1
Becker 56 138 40 34 CDC .0 .0 .0 .0 .0 .0Wadena 12 137 33 17 D 0 0 0 0 0 0Wadena 12 137 33 17 D .0 .0 .0 .0 .0 .0
Todd 14 132 33 22Sherburne 17 32 28 1 AAD 440515 5016154 .0 .0 .0 .0 .0 .0
Itasca 9 55 25 14 BC .0 .0 .0 .0 .0 .0Norman 60 143 47 17 DCB .0 .0 .0 .0 .0 .0
Otter Tail 56 137 40 12 CD .0 2.7 .0 .0 1.2 4.4Otter Tail 56 137 38 19 DC 5.4 7.6 9.9 2.7 5.4 4.9Otter Tail 56 134 39 1 DB
Becker 56 138 39 31 .0 .0 .0 .0 .0 .0Wright 18 119 27 9 ADPope 26 126 37 35 B .0 .0 .0 .0 .0 .0Todd 14 132 33 15 CD
Redwood 29 109 37 30 D .0 .0 .0 .0 .0 .0Sherburne 17 33 27 17 C
St Louis 9 59 21 29 DCWadena 12 136 33 15 CAWadena 13 136 34 6
Cass 12 134 32 29Wadena 12 137 34 33 AB .0 .0 .0 .0 .0 .0
Blue Earth 28 108 28 1 BBD 1.0 4.5 .0 .0 .0 .0Stearns 16 126 34 10 DBD .0 .0 .0 .0 .0 .0
Marshall 68 156 48 9 BCLac Qui Parle 24 117 43 10 ADDA 13.0 20.1 14.4 14.3 9.4 17.0
Isanti 21 36 23 35 C .0 .0 .0 .0 .0 .0Yellow Medicine 25 115 39 11 BDBD
Benton 17 36 30 26 CB .0 .0 .0 .0 .0 .0Sherburne 17 32 26 24 .0 .0 .0 .0 .0 .0
Todd 14 129 33 5 AD .0 .0 .0 .0 .0 .0Nobles 83 101 41 17 BBB .0 .0 .0 .0 .0 .0Swift 23 120 43 14 B .0 .0 .0 .0 .0 .0
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003Traverse 54 125 49 1 B .0 .0 .0 .0 .0 .0Stearns 16 123 30 14 DAB .0 .0 .0 .0 .0 .0Renville 25 114 37 23 DAA .0 .0 .0 .0 .0 .0Renville 25 114 37 16 ADD
Big Stone 22 123 48 34 D .0 .0 .0 .0 .0 .0Otter Tail 56 137 43 23 AD
Todd 14 132 33 35 BCC .0 .0 .0 .0 .0 .0Pope 16 126 36 22 CD
Meeker 18 121 32 35 BSherburne 17 33 27 32 DC .0 .0 .0 .0 .0 .0Sherburne 17 33 28 24Pipestone 82 106 46 5 BBDA .0 .0 .0 .0 .0 7.2Pipestone 82 106 46 5 BADD
Polk 61 147 49 13 CCB .0 .0 .0 .0 .0 .0Sherburne 17 33 27 34 CCDB .0 .0 .0 .0 .0 .0
Dakota 38 113 20 1 ABB 7.3 6.5 2.8 .0 .0 .0Dakota 38 114 20 36 D 2.4 4.9 3.1 .0 .0 .0
Crow Wing 10 43 31 14 BBA .0 .0 .0 .0 .0 .0Wright 17 121 25 9
Sherburne 17 33 27 31 DDD .0 .0 .0 .0 .0 .0Otter Tail 13 132 37 28 C .0 .0 .0 .0 .0 .0Morrison 15 40 30 29 BAA .0 .0 .0 .0 .0 .0
Todd 14 130 33 20 DBB .0 .0 .0 .0 .0 .0Swift 26 120 41 9 B .0 .0 .0 .0 .0 .0Cass 11 139 30 31Cass 11 138 30 6Cass 11 139 30 32 C
Renville 25 115 35 24Marshall 69 157 48 5 CDAD .0 .0 .0 .0 .0 .0Norman 59 145 49 24 BACA
Swift 26 120 41 8 D .0 .0 .0 .0 .0 .0Carlton 5 47 17 20 BCB .0 .0 .0 .0 .0 .0
Marshall 68 154 48 4 CDDMarshall 68 154 48 4 CMarshall 68 154 48 2 ACMarshall 67 155 50 18 ADC .0 .0 .0 .0 .0 .0Marshall 67 155 50 19 AAB .0 .0 .0 .0 .0 .0Kittson 69 159 50 29 BCBKittson 69 159 50 31 BDBD 192677 5386200Pope 16 125 37 12 DCD .0 .0 .0 .0 .0 .0
Otter Tail 56 136 40 29 DDA 10.0 12.0 9.9 6.4 8.9 4.3Lake of the Woods 79 162 32 36 DD .0 .0 .0 .0 .0 .0
Renville 28 113 35 26 D .0 .0 .0 .0 .0 .0Brown 29 109 33 12 CC 11.7 12.4 6.4 12.4 12.6 12.0Cass 12 134 32 19Cass 12 134 32 19Todd 13 132 35 30 BCD .0 .0 .0 .0 .0 .0
Wadena 13 134 34 18 DBD .0 .0 .0 .0 .0 .0Otter Tail 13 132 36 25 AD .0 .0 .0 .0 .0 .0Sherburne 17 33 27 17 AA .0 .0 .0 .0 .0 .0
Carver 33 116 25 31 AD .0 .0 .0 .0 .0 .0Isanti 21 35 23 3 BC .0 .0 .0 .0 .0 .0
Sherburne 17 34 29 14 ACAC .0 .0 .0 .0 .0 .0Kittson 69 159 50 8 B .0 .0 .0 .0 .0 .0
Hubbard 12 139 35 9 BB 1.9 1.7 1.9 1.9 1.7 1.6Scott 33 114 23 7 ACCC .0 .0 .0 .0 .0 .0Scott 33 114 23 7 ACCC .0 .0 .0 .0 .0 .0
Hennepin 18 120 24 36 CCDC .0 .0 .0 .0 .0 .0Goodhue 38 114 16 25 ACC .0 .0 .0 .0 .0 .0Hubbard 12 139 32 4 DAA
Carver 19 117 26 36Isanti 21 34 24 21 BB .0 .0 .0 .0 .0 .0Isanti 21 34 24 21 BB
Sherburne 17 33 28 10 BAD .0 .0 .0 .0 .0 .0Todd 14 132 33 27 DDD .0 .0 15.0 16.2 11.4 15.0
Redwood 27 112 38 14 DMower 48 102 18 24 DMower 48 102 18 27 CCC .0 .0 .0 .0 .0 .0Renville 19 116 32 34 AOlmsted 43 105 14 24 A .0 .0 .0 .0 .0 .0Nobles 83 101 43 18 CAA .0 .0 .0 .0 .0 .0
Freeborn 48 104 20 20Renville 25 114 37 15 DD
Chippewa 26 119 41 22 C .0 .0 .0 .0 .0 .0Chippewa 26 119 41 22 CWadena 12 134 33 34 BCC .0 17.6 15.2 9.9 15.0 10.6
Todd 13 133 35 21 ADB
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003Sherburne 17 33 27 8 CA .0 .0 .0 .0 .0 .0
Carlton 3 48 17 15 BB .0 .0 .0 .0 .0 .0Chisago 37 37 21 25
Otter Tail 56 132 44 30 DDD .0 .0 .0 .0 .0 .0Clearwater 66 146 38 5 BAB .0 .0 .0 .0 .0 .0
Yellow Medicine 25 116 39 32 DD .0 .0 .0 .0 .0 .0Sherburne 17 33 28 14 D .0 .0 .0 .0 .0 .0Wadena 13 134 33 18 ABB 18.5 19.4 14.4 15.1 9.9 16.8Douglas 14 127 37 34 B .0 .0 .0 .0 .0 .0
Otter Tail 56 134 39 6 CBAA 12.5 14.6 8.5 9.0 8.8 13.5Otter Tail 56 134 43 24
Wright 17 121 25 21 ABC 3.9 5.0 5.7 8.4 3.1 2.9Wadena 12 137 33 8Wadena 13 134 35 2 CD .0 .0 .0 .0 .0 .0
Todd 14 133 33 20 BACottonwood 29 108 36 10
Pipestone 82 108 45 11 BCCCottonwood 51 105 36 12 C
Todd 14 130 32 29Otter Tail 56 136 41 26 .0 .0 .0 .0 .0 .0
Todd 14 129 33 5 DD .0 .0 .0 .0 .0 .0Otter Tail 56 133 40 7 BACBOtter Tail 56 133 41 12 AADBOtter Tail 56 133 41 12 DAAOtter Tail 56 133 42 20 CC
Cass 12 134 32 19 BBA .0 .0 .0 .0 .0 .0Redwood 27 112 37 28 A .0 .0 .0 .0 .0 .0
Lyon 29 109 42 5 .0 .0 .0 .0 .0 .0Todd 16 127 33 26 DBCA .0 .0 .0 .0 .0 .0
Otter Tail 56 135 39 27 C .0 .0 .0 .0 .0 .0Wright 17 122 26 14 ABAB 428026 5025915
Redwood 27 113 36 34 ARedwood 27 113 36 34 ASt Louis 3 57 16 2
Rock 83 104 44 25 BCC 28.0 34.4 22.5 7.0 23.5 25.0Chippewa 25 116 39 1 D .0 .0 .0 .0 .0 .0
Lyon 51 109 41 21Dakota 39 112 18 7 CAB .0 .0 .0 .0 .0 .0
Watonwan 31 107 32 13 BB .0 .0 .0 .0 .0 .0Watonwan 31 107 32 14 AAA .0 .0 .0 .0 .0 .0
Todd 14 129 33 9 B .0 .0 .0 .0 .0 .0Watonwan 31 107 31 24 C
Grant 23 130 41 22 CB .0 .0 .0 .0 .0 .0Mower 46 101 14 34 DWright 18 121 25 34 CB 0 0 0 0 0 0Wright 18 121 25 34 CB .0 .0 .0 .0 .0 .0Todd 14 129 33 5 DAA .0 .0 .0 .0 .0 .0Rock 83 103 44 6 C .0 .0 .0 .0 .0 .0Rock 83 103 44 20 DB .0 .0 .0 .0 .0 .0
Norman 59 145 49 25 DARenville 25 114 37 7 ADAD .0 .0 .0 .0 .0 .0Hubbard 12 139 35 1 AB .0 .0 .0 .0 .0 .0Stearns 16 125 33 6 BA 15.8 17.8 19.1 11.3 5.0 8.4
Watonwan 31 107 30 29 AAD 4.6 3.5 .0 .0 .0 6.0Benton 17 36 28 8 .0 .0 .0 .0 .0 .0Meeker 18 120 30 20 AB
Otter Tail 56 135 43 16 BBeltrami 62 155 30 21 BBB .0 .0 .0 .0 .0 .0
Clay 58 139 47 1 B .0 .0 .0 .0 .0 .0Wadena 12 134 33 19 AAC .0 .0 .0 .0 .0 .0
Pine 34 40 19 2 CAD .0 .0 .0 .0 .0 .0Pine 34 40 19 1 CCB .0 .0 .0 .0 .0 .0Cass 11 138 30 25 B .0 .0 .0 .0 .0 .0Cass 11 138 30 24 BBC .0 .0 .0 .0 .0 .0Cass 11 138 30 23 DBD .0 .0 .0 .0 .0 .0
Dakota 38 114 19 30 DOlmsted 41 107 15 3 BWadena 12 134 33 26 .0 .0 .0 .0 .0 .0Wadena 12 134 33 26 .0 .0 .0 .0 .0 .0Wadena 12 134 33 26 .0 .0 .0 .0 .0 .0Wadena 12 134 33 26 .0 .0 .0 .0 .0 .0Wadena 12 134 33 26 DBB 12.8 13.1 9.6 7.2 5.3 11.5Wadena 12 134 33 26 CDD 40.7 24.4 24.4 9.5 9.5 13.2Wadena 12 134 33 35 AAB 32.6 25.8 18.9 11.7 12.1 22.0Wadena 12 134 33 26 BDD .0 .0 .0 .0 .0 .0Wadena 12 134 33 26 BDD .0 .0 .0 .0 .0 .0Wadena 12 134 33 26 BDD .0 .0 .0 .0 .0 .0Goodhue 39 113 16 31 CDAA 13.4 13.4 18.9 13.5 .0 9.0Otter Tail 13 133 38 13 BC
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003Otter Tail 13 133 37 18 BC
Becker 58 140 43 26 CASt Louis 3 57 16 11 BA .0 .0 .0 .0 .0 .0Becker 12 140 37 15 AABecker 12 140 37 2 BA
Cass 11 137 30 8 A .0 .0 .0 .0 .0 .0Dodge 41 107 18 33 A
Cottonwood 51 105 38 36 BCSherburne 17 33 27 7 C .0 .0 .0 .0 .0 .0
Clay 58 138 47 29 D .0 .0 .0 .0 .0 .0Todd 16 127 35 26 DCA 32.3 64.5 38.5 25.5 20.1 45.4Todd 16 127 35 25 BAD .0 .0 .0 .0 .0 .0
Wadena 13 134 33 3 .0 .0 .0 .0 .0 .0Pine 36 40 21 28 DCass 11 139 30 29 ACass 11 139 30 29 B
Otter Tail 13 133 37 20 CATodd 16 127 33 25 .0 .0 .0 .0 .0 .0
Carlton 5 47 17 30 .0 .0 .0 .0 .0 .0Isanti 21 34 24 11 AC
Sherburne 17 33 28 13 CCCA .0 .0 .0 .0 .0 .0Sherburne 17 34 26 28 DD
Pope 26 124 37 26 CB .0 .0 .0 .0 .0 .0Goodhue 39 112 17 7 DDStearns 17 122 29 36 .0 .0 .0 .0 .0 .0
Swift 23 122 42 20 DCA .0 .1 .0 .0 .0 .0Otter Tail 23 133 41 34 CBA 4.3 5.5 5.7 1.3 .0 2.7Renville 25 114 38 1Anoka 21 33 24 17 BC .6 .2 .0 .0 .0 .0Anoka 21 33 24 16 B .0 .0 .0 .0 .0 .0
Chippewa 25 116 39 2 D .0 .0 .0 .0 .0 .0Wadena 13 135 34 5 C .0 .0 .0 .0 .0 .0Wadena 13 135 33 33 A .0 .0 .0 .0 .0 .0Becker 56 138 39 13 C .0 .0 .0 .0 .0 .0
Hubbard 12 139 33 6 DBKandiyohi 25 119 35 9 CA .0 .0 .0 .0 .0 .0Morrison 15 127 29 5 DADC .0 .0 .0 .0 .0 .0
Cass 11 137 30 4 BBA .0 .0 .0 .0 .0 .0Kittson 70 161 47 27 AKittson 70 161 47 26 B
Sherburne 17 34 28 19 BDStearns 16 124 31 31 .0 .0 .0 .0 .0 .0
Swift 26 120 41 4 CCB .0 .0 15.5 .0 .0 .0Jackson 51 104 36 18 BDJackson 51 104 37 15 CJackson 51 104 37 15 C
Otter Tail 23 132 42 24 BOtter Tail 23 132 42 13 DABlue Earth 30 106 28 33 CC .0 .0 .0 .0 .0 .0
Pope 26 125 40 1Meeker 18 120 31 13 DDB .0 .0 .0 .0 .0 .0
Cass 12 133 32 4 BAPope 18 125 36 33 C .0 .0 .0 .0 .0 .0Clay 58 137 47 35 ABC .0 .0 .0 .0 .0 .0
Otter Tail 54 131 44 14 DB .0 .0 .0 .0 .0 .0Becker 60 142 41 20 CBB .0 .0 .0 .0 .0 .0Wilkin 57 136 47 34 DAB .0 .0 .0 .0 .0 .0Kittson 70 161 46 26 BBecker 12 140 36 32 CAC
Otter Tail 54 131 44 24 AD .0 .0 .0 .0 .0 .0Otter Tail 23 132 41 18 B .0 .0 .0 .0 .0 .0Otter Tail 23 132 41 8 B .0 .0 .0 .0 .0 .0
Kittson 69 160 46 29 CD 6.3 5.3 14.2 3.4 2.3 5.2Kittson 69 160 46 29 CD 9.0 6.7 19.0 5.8 8.7 10.9
Wadena 12 137 34 28 .0 .0 .0 .0 .0 .0Becker 56 138 42 36 CD .4 .2 .1 .1 .0 .0Kittson 69 160 46 29 DA
Otter Tail 56 133 43 12 D 3.2 8.5 6.4 3.5 1.4 6.2Otter Tail 56 135 39 33 CCDB .0 .0 .0 .0 .0 .0Otter Tail 56 135 39 34 CBB .0 .0 .0 .0 .0 .0
Wright 17 121 23 18 .0 .0 .0 .0 .0 .0Otter Tail 56 133 43 12 CD .0 .0 .0 .0 .0 .0Hubbard 12 139 34 22 CD .0 .0 .0 .0 .0 .0Wright 17 121 23 14 CBD .0 .0 .0 .0 .0 .0
Polk 61 147 45 35 ABCD 4.3 6.0 7.3 4.5 8.4 8.1Otter Tail 13 134 36 16 D
Pope 26 125 37 26 ABD .0 .0 .0 .0 .0 .0Douglas 14 127 39 13 B
Otter Tail 56 137 39 7 AD 5.3 6.4 5.8 5.7 4.1 9.9Todd 14 132 33 34 ADA .0 .0 .0 .0 .0 .0
Otter Tail 23 132 41 16 AWadena 12 134 33 16 CBD .0 4.3 3.5 .0 .3 .4Otter Tail 13 134 36 22 ADD .0 .0 .0 .0 .0 .0
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003Otter Tail 56 132 43 17 BA .0 .0 .0 .0 .0 .0
Todd 14 133 32 23 DBDB .0 .0 .0 6.0 5.3 6.9Clearwater 60 146 37 36 AAD .0 .0 .0 .0 .0 .0
Wadena 12 134 33 22 B .0 .0 .0 .0 .0 .0Hubbard 12 139 33 19 BC .0 .0 .0 .0 .0 .0Hubbard 12 140 34 14 DDA .0 .0 .0 .0 .0 .0Marshall 67 156 50 8 CCA
Todd 14 132 33 35 CDD .0 .0 .0 .0 .0 17.9Todd 14 131 33 2 ADC .0 .0 .0 .0 .0 .0
Mower 48 103 17 5 A .0 .0 .0 .0 .0 .0Rock 83 104 44 28 CDB
Becker 56 140 38 30 DBANicollet 28 109 27 24 BJackson 84 101 38 7 A .0 .0 .0 .0 .0 .0
Pope 18 125 36 32 DBA .0 .0 .0 .0 .0 .0Redwood 29 110 35 14 D .0 .0 .0 .0 .0 .0Meeker 18 121 32 36 BDBA .0 .0 .0 .0 .0 .0
Cass 12 134 32 8 CCass 12 134 32 8 C
Sherburne 17 33 28 12 B .0 .0 .0 .0 .0 .0Otter Tail 56 132 44 28 DDCCRedwood 29 110 38 33 DA .0 .0 .0 .0 .0 .0Redwood 29 110 38 34 D .0 .0 .0 .0 .0 .0
Wright 17 121 24 10 CDAA .0 .0 .0 .0 .0 .0St Louis 3 56 17 27 BD .0 .0 .0 .0 .0 .0Wadena 13 135 33 19 A
Itasca 9 55 25 11 CBDD .0 .0 .0 .0 .0 .0Redwood 29 109 38 3 D .0 .0 .0 .0 .0 .0Blue Earth 31 107 28 32 DB .0 .0 .0 .0 .0 .0Wadena 12 134 34 25 .0 .0 .0 .0 .0 .0Otter Tail 56 132 42 2 A .0 .0 .0 .0 .0 .0Wadena 13 135 34 13 DBD .0 .0 .0 .0 .0 .0Wadena 12 134 33 28 CD .0 .0 .0 .0 .0 .0Wadena 12 134 33 33 AAD 10.0 13.5 9.9 7.6 5.2 16.8Wadena 13 134 34 19 ABAOtter Tail 13 134 36 6 DB .0 .0 .0 .0 .0 .0
Swift 23 122 42 29 BDouglas 26 127 37 23 AAC .0 .0 .0 .0 .0 .0Kittson 70 160 46 17 AB 9.5 7.7 15.4 6.5 12.2 7.2
Sherburne 17 33 27 15 CCCD 445678 5021370 .0 .0 .0 .0 .0 .0Sherburne 17 34 28 17 .0 .0 .0 .0 .0 .0
Washington 37 31 20 31 C .0 .0 .0 .0 .0 .0Carver 19 117 25 22 .0 .0 .0 .0 .0 .0
Chippewa 25 117 39 28 C 32.8 35.0 32.5 19.8 10.8 .0Kandiyohi 18 121 34 9 CKandiyohi 18 121 34 9 C
Lac Qui Parle 22 120 46 33 A .0 .0 .0 .0 .0 .0Lyon 27 111 43 33 BBC .0 .0 .0 .0 .0 .0Lyon 27 111 43 34 CABB .0 .0 .0 .0 .0 .0Todd 14 131 33 2 DC 10.3 11.8 13.0 8.5 8.6 10.1Todd 14 131 33 1 C .0 .0 .0 .0 .0 .0Todd 14 131 33 15 DCD
Stearns 18 124 35 15 CBCrow Wing 10 44 32 13 ADDB
Pope 16 125 37 1 DCA .0 .0 .0 .0 .0 .0Todd 14 131 34 20 ABDB .0 .0 .0 .0 .0 .0Pope 16 126 36 15 DAC .0 6.2 .0 .0 .0 .0Polk 61 147 45 27 BPolk 61 147 45 28 A
Otter Tail 13 133 37 13 AD .0 .0 .0 .0 .0 .0Otter Tail 13 133 37 13 D .0 .0 .0 .0 .0 .0Wadena 13 135 34 13 CBA .0 .0 .0 .0 .0 .0Otter Tail 13 137 36 26 DDDB 13.3 13.1 13.7 8.1 13.6 10.6
Becker 58 140 40 6 CBDClay 58 140 44 33 CBA .0 .0 .0 .0 .0 .0
Wilkin 57 136 47 22 C 24.3 23.0 37.1 18.5 39.4 22.5Wilkin 57 136 47 22 C 4.1 .0 .0 .0 .0 .0
Hubbard 12 139 35 17 BBA .0 .0 .0 .0 .0 .0Wadena 12 137 33 28 .0 .0 .0 .0 .0 .0Kittson 70 160 46 17 DDD .0 .0 .0 .0 .0 .0
Polk 63 150 46 33 ABPolk 63 151 49 27 DAPolk 67 153 50 16 DBPolk 61 151 50 24 CBCC .0 .0 .0 .0 .0 .0Polk 61 151 50 23 ADCC .0 .0 .0 .0 .0 .0
Becker 56 138 40 35 DCPolk 63 151 49 16 CB .0 .0 .0 .0 .0 .0Polk 63 151 49 16 CB .0 .0 .0 .0 .0 .0Polk 63 151 49 17 DBA .0 .0 .0 .0 .0 .0Polk 63 151 49 17 DAA .0 .0 .0 .0 .0 .0Polk 63 151 49 16 CCA .0 .0 .0 .0 .0 .0Polk 63 151 49 21 BAA .0 .0 .0 .0 .0 .0Polk 63 151 49 21 BDB .0 .0 .0 .0 .0 .0
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003Otter Tail 13 131 36 35 BBBOtter Tail 23 132 41 16Morrison 10 42 32 23 .0 .0 .0 .0 .0 .0Stearns 17 123 28 9 ACDD 7.6 9.6 9.8 5.8 8.5 9.1
Pope 18 125 36 27 DCPope 16 126 36 21 DAD .0 .0 .0 .0 .0 .0
Redwood 28 112 35 5 ARedwood 27 112 36 3 DCBlue Earth 31 107 28 28Kandiyohi 25 120 36 36 .0 .0 .0 .0 .0 .0Kandiyohi 25 120 36 24 CC .0 .0 .0 .0 .0 .0Chippewa 26 118 41 27 AB .0 .0 .0 .0 .0 .0Chippewa 26 117 41 1 A .0 .0 .0 .0 .0 .0
Rice 39 109 21 17 CBB .0 .0 .0 .0 .0 .0Freeborn 49 101 20 6 BBDD .0 .0 .0 .0 .0 .0Freeborn 49 101 20 6 BDCDDakota 38 114 18 11 CDD .0 .0 .0 .0 .0 .0
Rice 39 109 20 32 DDakota 38 114 18 21 ACB 21.9 36.8 24.7 22.3 15.6 9.8
Sherburne 17 35 29 31 BB .0 .0 .0 .0 .0 .0Mower 48 103 18 11 BDC
Wabasha 40 109 9 5 DCBA 586510 4902262 .0 .0 .0 .0 10.3 .0Wabasha 40 109 9 5 DBAC 586533 4902538 .0 .0 .0 .0 .0 .0
Sherburne 17 34 28 30 AA .0 .0 .0 .0 .0 .0Wilkin 57 136 47 31 DADB 3.0 4.0 6.5 1.8 1.2 3.9
Norman 60 143 45 3 BBecker 56 138 40 14 AAA .0 .0 .0 .0 .0 .0Becker 56 138 40 14 ACB .0 .0 .0 .0 .0 .0
Otter Tail 56 132 44 8 CBWadena 12 134 33 13 ACABenton 15 38 31 3 BAB .0 .0 .0 .0 .0 .0Benton 15 37 31 26Wadena 13 134 35 14 ABD .0 .0 .0 .0 .0 .0Wright 18 119 27 10 AD .0 .0 .0 .0 .0 .0
Wadena 13 134 35 1 CDD 28.1 17.9 17.1 30.2 33.7 24.2Todd 14 128 33 5 BDCTodd 14 130 33 29 AAA .0 .0 .0 .0 .0 .0
Brown 28 108 33 27 .0 .0 .0 .0 .0 .0Brown 28 108 33 28 A 18.2 15.2 7.8 14.3 6.5 21.3Lyon 27 111 42 5 C
Watonwan 31 107 31 21 CDBC 374774 4878994 13.2 11.4 8.7 4.3 .0 11.7Meeker 18 119 30 30 CBD .0 .0 .0 .0 .0 .0
Lac Qui Parle 24 116 46 33 ADA .0 .0 .0 .0 .0 .0Blue Earth 31 107 28 33 B .0 .0 .0 .0 .0 .0Freeborn 49 101 20 19 BFreeborn 49 101 20 19 BFreeborn 49 101 21 1 DBD .0 .0 .0 .0 .0 .0Freeborn 49 101 20 19 BAA .0 .0 .0 .0 .0 .0Freeborn 49 101 20 18 BB .0 .0 .0 .0 .0 .0
Anoka 20 32 25 29 CDBD 461989 5008218 12.0 14.6 15.9 10.0 12.9 14.5Anoka 20 32 25 29 DCDD 462590 5008182 4.8 5.8 .0 .0 .0 .0Dakota 38 114 18 15 CAD 15.0 14.3 15.0 12.2 10.4 11.5Dakota 38 114 18 19 DDBD 3.8 11.0 12.1 12.3 12.2 12.2Dakota 38 115 17 32 CDAnoka 20 31 22 4 DCBA .0 .0 .0 .0 .0 .0
Washington 37 31 20 17 BD .0 .0 .0 .0 .0 .0Washington 37 31 20 7 CD .0 .0 .0 .0 .0 .0Washington 37 31 20 18 CA .0 .0 .0 .0 .0 .0Washington 37 31 20 18 BCC .0 .0 .0 .0 .0 .0
Otter Tail 13 137 37 34 BPope 26 125 37 22 CABPolk 61 147 45 35 BBA
Otter Tail 56 135 39 33 CCDBHubbard 12 139 34 34 CCC .0 .0 .0 .0 .0 .0Otter Tail 13 134 36 22 BBOtter Tail 13 132 37 9 ABCHubbard 12 139 35 11 B 21.2 21.3 27.2 19.0 19.0 19.5Otter Tail 13 137 36 20 COtter Tail 13 132 36 7 ARed Lake 66 151 44 23 CBBD 5.2 5.8 8.7 2.6 4.3 3.5Red Lake 66 151 44 23 CBBD .0 .0 .0 .0 .0 .0Red Lake 66 151 44 23 CBBD .0 .0 .0 .0 .0 .0Otter Tail 56 134 44 12 CBB
Polk 63 150 46 26 DDA .0 .0 .0 .0 .0 .0Polk 63 150 46 33 BBPolk 63 150 46 27 DPolk 61 147 44 20 CBDC 9.9 22.7 20.9 7.1 19.0 8.4Pope 16 126 36 22 CAD .0 .0 .0 .0 .0 .0
Otter Tail 56 134 40 1 DAOtter Tail 56 133 38 21 ACB 17.1 47.2 29.9 18.5 5.0 22.5
Wilkin 56 132 45 31 ACOtter Tail 56 136 38 28 AC .0 .0 .0 .0 .0 .0
Polk 61 151 49 31 CB .0 .0 .0 .0 .0 .0
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003Otter Tail 13 135 37 12 BC .0 .0 .0 .0 .0 .0Otter Tail 56 135 41 7 ADA .0 .0 .0 .0 .0 .0Otter Tail 56 134 42 31 CD .0 .0 .0 .0 .0 .0Otter Tail 56 134 42 34 AA .0 .0 .0 .0 .0 .0Otter Tail 56 133 42 3 CD
Becker 56 138 42 24 DBOtter Tail 23 133 41 34 AB .0 .0 .0 .0 .0 .0Otter Tail 13 131 37 11 ADBA .0 .0 .0 2.6 .0 10.3Otter Tail 56 136 43 27 B
Clay 58 138 47 17 D .6 .0 .0 .0 .0 .0Grant 23 127 41 18 DDB .0 .0 .0 .0 .0 .0
Otter Tail 56 136 42 19 CBOtter Tail 56 135 40 7 CDAOtter Tail 56 136 43 14 DDD .0 .0 .0 .0 .0 .0Red Lake 63 152 43 32 DStevens 26 126 41 35 .0 .0 .0 .0 .0 .0
Polk 63 150 46 33 CDD .0 .0 .0 .0 .0 .0Polk 63 150 46 29 DDB .0 .0 .0 .0 .0 .0Clay 58 138 47 9 CBD .0 .0 .0 .0 .0 .0
Otter Tail 56 136 43 29 DBAClay 58 138 47 16 B .0 .0 .0 .0 .0 .0Clay 58 138 47 17 ADDD .0 .0 .0 .0 .0 .0
Otter Tail 58 137 43 19 BClay 58 140 47 17 DC .0 .0 .0 .0 .0 .0
Wadena 13 134 35 35 BB 24.3 .0 .0 .0 5.3 10.9Wadena 13 136 34 26 CD .0 .0 .0 .0 .0 .0Morrison 10 128 31 13 BC .0 .0 .0 .0 .0 .0
Todd 16 128 34 34 BCC .0 .0 14.5 .0 .0 .0Stearns 16 126 33 36 BDD .0 .0 .0 .0 .0 .0
Sherburne 17 35 29 31 DAAD .0 .0 .0 .0 .0 .0Pine 34 41 19 34 CBBTodd 14 131 32 18 DCDTodd 13 133 35 33 DBB .0 .0 .0 .0 .0 .0
Sherburne 17 35 29 31 ACCC .0 .0 .0 .0 .0 .0Sherburne 17 34 29 11 BCB .0 .0 .0 .0 .0 .0Wadena 12 134 33 27 CDA 33.5 32.5 23.1 14.8 15.8 21.0Wadena 13 134 35 1 BCD 11.8 11.9 8.9 12.1 9.1 14.8Wadena 12 134 33 30 BAA 9.5 10.5 6.3 4.1 4.4 4.4Wadena 13 134 35 13 BDB 18.9 28.7 15.6 12.6 12.5 11.3Wadena 13 135 33 27 CCC .0 .0 .0 .0 .0 .0Stearns 16 124 31 36 CA .0 .0 .0 .0 .0 .0
Todd 14 132 32 15 .0 .0 .0 .0 .0 .0Wadena 12 135 33 2 DBWadena 12 134 33 23 CDD .0 .0 .0 .0 .0 .0
Todd 13 133 35 2 DACCTodd 13 133 35 2 DACCCrow Wing 10 43 31 18 DC .0 .0 .0 .0 .0 .0
Stearns 17 123 27 21 CAB .0 .0 .0 .0 .0 .0Sherburne 17 35 30 14 CCCC .9 .9 .9 1.0 1.1 1.1Wadena 13 134 34 7 AAWadena 13 134 35 10 AAB 30.2 12.0 9.5 18.9 5.4 2.9Morrison 15 127 31 17 DBA .0 .0 .0 .0 .0 .0
Isanti 21 36 25 7 CA .0 .0 44.8 .0 .0 .0Sherburne 17 33 28 5 ABDA .0 .0 .0 .0 .0 .0
Cass 12 135 32 24 ABTodd 14 132 33 9 BAD 21.6 .0 .0 1.3 .0 .0Isanti 21 36 23 11 ABTodd 14 132 34 36 B
Sherburne 17 33 29 4 BDD 8.5 8.4 8.4 4.4 5.2 2.5Morrison 15 127 29 22 CBB .0 .0 .0 .0 .0 .0
Pine 35 41 20 19 AADBenton 15 36 31 3 DC .0 .0 .0 .0 .0 .0
Todd 14 131 33 28 DCMorrison 15 40 30 20 B
Sherburne 17 33 26 29 DCB .0 .0 .0 .0 .0 .0Pine 34 41 19 33 ADA .0 .0 .0 .0 .0 .0Todd 14 131 33 26 C .0 .0 .0 .0 .0 .0Todd 14 131 32 27 C .0 .0 .0 .0 .0 .0Todd 14 131 32 32 A .0 .0 .0 .0 .0 .0
Stearns 16 122 30 4 CCC .0 .0 .0 .0 .0 .0Todd 10 131 32 35 ACB .0 .0 .0 .0 .0 .0Todd 16 127 33 20 ADDC .0 .0 .0 .0 .0 .0Todd 16 127 33 18 BBA 1.7 3.1 3.7 1.5 .0 .0
Wadena 12 137 34 16 DB .0 .0 .0 .0 .0 .0Wadena 12 134 33 20 BBCA .0 .0 .0 .0 .0 .0Wadena 13 134 34 10 ABCC 15.3 16.6 14.1 5.0 1.2 27.0Morrison 10 131 30 31 DDC .0 .0 .0 .0 .0 .0Chippewa 26 119 41 27 DCC
Nobles 83 102 43 21 DBD .0 .0 .0 .0 .0 .0Renville 25 113 35 14 BBD .0 .0 .0 .0 .0 .0
Blue Earth 30 105 28 16 D .0 .0 .0 .0 .0 .0Blue Earth 30 106 28 24 A .0 .0 .0 .0 .0 .0
Swift 26 120 41 3 ACC 11.6 9.0 11.8 12.0 12.3 12.3
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003Renville 25 116 38 16 BDCB 45.6 30.0 17.5 9.8 .1 8.1Brown 28 108 33 20 A
Kandiyohi 19 119 34 15 BB .0 .0 .0 .0 .0 .0Waseca 32 108 24 9 CB .0 .0 .0 .0 .0 .0
Pipestone 83 106 44 28 ADD .0 .0 .0 .0 .0 .0Pipestone 83 106 44 28 BDC .0 .0 .0 .0 .0 .0Pipestone 83 106 44 28 CAB .0 .0 .0 .0 .0 .0
Lyon 27 112 41 6 DWaseca 32 106 22 11 CD .0 .0 .0 .0 .0 .0
Blue Earth 28 108 28 27 DDC .0 .0 .0 .0 .0 .0Sibley 33 113 26 26 ADB
Yellow Medicine 25 115 39 10 C .0 .0 .0 .0 .0 .0Kandiyohi 18 122 33 18 CCCBig Stone 22 122 46 18 .0 .0 .0 .0 .0 .0
Yellow Medicine 25 114 38 34 CMartin 30 103 29 28 D .0 .0 .0 .0 .0 .0Martin 30 102 31 13 B .0 .0 .0 .0 .0 .0
Yellow Medicine 25 115 39 24 .0 .0 .0 .0 .0 .0Pipestone 82 106 46 8 C .0 .0 .0 .0 .0 .0Kandiyohi 19 118 34 1 BC .0 .0 .0 .0 .0 .0
Swift 26 122 40 2 CBD .0 .0 .0 .0 .0 .0Swift 26 122 40 2 CBD .0 .0 .0 .0 .0 .0Swift 26 122 40 11 BCB .0 .0 .0 .0 .0 .0
Cottonwood 51 105 38 36 ACBKandiyohi 18 121 34 19 ACB .0 .0 .0 .0 .0 .0Blue Earth 30 108 27 26 BAB .0 .0 .0 .0 .0 .0Blue Earth 30 108 27 29 CDA .0 .0 .0 .0 .0 .0
Yellow Medicine 25 114 39 4 A .0 1.3 .0 .0 .0 .0Renville 25 115 35 28 DBD .0 .0 .0 .0 .0 .0
Kandiyohi 25 120 35 1 .0 .0 .0 .0 .0 .0Watonwan 31 106 33 12 AA .0 .0 .0 .0 .0 .0
Mower 48 102 18 33 ADMower 48 102 18 22 DCCC .0 .0 .0 .0 .0 .0Mower 48 102 18 21 B .0 .0 .0 .0 .0 .0
Rice 39 109 20 16 BBDC 480927 4899756 .0 .0 .0 .0 .0 .0Freeborn 50 101 23 27 AAA 6.5 9.5 7.9 2.4 .0 16.5Freeborn 50 101 23 21 BCBA 450973 4820917 12.5 15.1 19.4 4.2 .0 24.5Freeborn 49 103 21 31 DBD .0 .0 .0 .0 .0 .0Wabasha 41 109 14 9 CFreeborn 49 101 20 19 CC .0 .0 .0 .0 .0 .0Wabasha 40 109 9 18 BBD .0 .0 .0 .0 .0 .0
Steele 39 106 20 19 AB .0 .0 .0 .0 .0 .0Dakota 38 114 18 12 ABD .0 .0 .0 .0 .0 .0Dakota 38 114 19 24 DDB .0 .4 .0 .0 .0 .0Anoka 21 32 24 3 D 0 0 0 0 0 0Anoka 21 32 24 3 D .0 .0 .0 .0 .0 .0Dakota 38 114 19 21 DC .0 .0 .0 .0 .0 .0Carver 33 114 24 11 AA .0 .0 .0 .0 .0 .0
Otter Tail 56 134 40 28 BB .0 .0 .0 .0 .0 .0Polk 66 149 39 31 CDClay 58 139 45 9 DA .0 .0 .0 .0 .0 .0
Otter Tail 13 133 36 8 CDD .0 .0 .0 .0 .0 .0Pope 26 124 37 2 BCC .0 .0 .0 .0 .0 .0
Otter Tail 56 137 40 28 CA .0 .0 .0 .0 .0 .0Otter Tail 13 131 36 12 ACD .0 .0 .0 .0 .0 .0Otter Tail 56 136 43 3 ADD
Clay 58 137 44 21 BCD .0 .0 .0 .0 .0 .0Wilkin 58 135 46 2 AAB .0 48.3 57.5 .0 .0 .0
Douglas 26 127 37 35 AB .0 .0 .0 .0 .0 .0Hubbard 12 139 34 27 CCB .0 .0 .0 .0 .0 .0Otter Tail 56 136 40 15 CDC 11.2 12.1 9.5 7.4 4.3 12.0Hubbard 12 139 34 19 ABecker 12 141 38 24 BB
Otter Tail 56 136 37 4 DDACOtter Tail 13 136 37 9 DCBDOtter Tail 13 136 37 10 BCDD
Pope 26 125 39 19 DBC .0 .0 .0 .0 .0 .0Otter Tail 56 133 38 28 ACA .0 .0 .0 .0 .0 .0Otter Tail 56 133 38 29 CDB .0 .0 .0 .0 .0 .0Norman 60 144 46 30 CCAC .0 .0 .0 .0 .0 .0Norman 60 144 47 25 CDB .0 .0 .0 .0 .0 .0
Otter Tail 56 134 40 18 CABDouglas 26 130 38 7 DBC
Otter Tail 13 134 37 13 CBDD .0 .0 .0 .0 .0 .0Otter Tail 13 135 37 12 B .0 .0 .0 .0 .0 .0
Becker 56 139 38 29 CBPolk 63 151 49 7 DC .0 .0 .0 .0 .0 .0Pope 26 124 39 28 BAPope 26 126 40 36 D .0 .0 .0 .0 .0 .0Polk 63 150 45 19 BCA .0 .0 .0 .0 .0 .0
Otter Tail 14 131 36 34 CAA .0 .0 .0 .0 .0 .0Pope 26 126 38 34 D
Wilkin 57 136 47 22 ACB 5.9 .0 5.9 5.8 15.1 11.2
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003Wilkin 57 136 47 22 CDA 15.5 19.7 32.1 11.8 18.5 21.6
Otter Tail 13 137 36 26 BDBMahnomen 66 146 39 1 .0 .0 .0 .0 .0 .0
Stevens 23 124 41 10 C .0 .0 .0 .0 .0 .0Becker 56 138 43 2 CD
Otter Tail 58 136 44 7 DAPope 26 125 37 25 BAC .0 .0 .0 .0 .0 .0
Otter Tail 56 134 40 14 DDD .0 .0 .0 .0 .0 .0Clay 58 139 47 29 DCBD 21.2 32.0 22.8 12.1 31.2 59.9Clay 58 139 47 29 DBC 48.9 53.8 84.7 13.8 44.8 57.7
Becker 12 140 37 4 BDB .0 .0 .0 .0 .0 .0Beltrami 62 150 34 23 DABBeltrami 62 150 34 23 DCA
Pope 16 126 36 15 CACCOtter Tail 56 137 40 5Douglas 14 128 38 13 CDB .0 .0 .0 .0 .0 .0Douglas 14 127 37 21 CCA
Polk 63 150 47 29 BBC .0 .0 3.1 .0 .0 .0Polk 63 150 47 30 BDA .0 .0 .0 .0 .0 .0Polk 63 150 45 19 BAD
Otter Tail 13 133 36 14 ACCClay 58 139 46 1 BD
Carlton 5 47 17 7 AD .0 .0 .0 .0 .0 .0Carlton 5 47 17 6 CD .0 .0 .0 .0 .0 .0Carlton 35 48 20 23 AB .0 .0 .0 .0 .0 .0
Todd 14 130 35 9 DCDWadena 13 134 35 13 ABD 1.3 3.8 .0 .0 .0 .0Stearns 16 123 30 30 AD .0 .0 .0 .0 .0 .0
Morrison 15 42 28 26 BB .0 .0 .0 .0 .0 .0Todd 14 132 33 4 CB .0 .0 .0 .0 .0 .0Todd 13 132 35 8 ACC .0 .0 .0 .0 .0 .0Cass 11 137 29 6 DBA
Wadena 12 134 33 27 ABCC 7.4 8.2 8.5 3.7 3.8 6.3Cass 11 138 30 22 D .0 .0 .0 .0 .0 .0Cass 11 138 30 22 D
Stearns 16 127 35 33 DACD 338131 5069821 .0 .0 .0 .0 .0 .0Stearns 15 125 29 8 CDA .0 .0 .0 .0 .0 .0Chisago 37 34 20 7 CA .0 .0 .0 .0 .0 .0Chisago 37 34 21 36 CAD .0 .0 .0 .0 .0 .0
Todd 14 132 33 27 DDD .0 .0 .0 .0 .0 .0Wadena 13 134 34 10 CDCC 21.9 6.2 10.8 5.4 11.2 29.0Stearns 17 122 29 36 CCWadena 13 134 34 5 CB 4.7 8.7 7.6 7.0 6.1 8.8Wadena 13 134 34 23 DCBB .0 .0 .0 .0 .0 .0Wadena 13 134 34 22 CDA 0 0 0 0 0 0Wadena 13 134 34 22 CDA .0 .0 .0 .0 .0 .0
Sherburne 17 35 30 25 DDB .0 .0 .0 .0 .0 .0Stearns 16 127 35 35 CADD 340824 5069831 94.7 .0 46.0 8.7 8.7 64.7Wadena 13 134 35 30 BC 13.2 18.1 13.0 11.0 9.7 17.8
Todd 14 132 32 5 CAB .0 .0 .0 .0 .0 .0Morrison 15 127 31 16 CAD .0 .0 .0 .0 .0 .0Wadena 13 134 34 31 DBC 18.0 19.4 19.9 9.8 13.5 18.8Stearns 15 125 31 32 CCDWadena 13 134 34 27 BCA 12.0 15.1 8.6 9.8 10.2 13.9
Todd 14 132 33 1 C .0 .0 .0 .0 .0 .0Sherburne 17 34 28 30 DAA
Stearns 16 126 32 15 CD .0 11.0 19.0 .0 .0 .0Stearns 16 126 32 15 CC .0 .0 .0 .0 .0 .0Wadena 12 134 33 22 DCB 10.9 14.7 13.2 6.3 6.2 16.6Stearns 16 126 32 15 AABB 368552 5065377 .4 7.2 2.3 .0 .0 .0Stearns 16 125 33 1 AD .0 .0 .0 .0 .0 .0Stearns 16 125 32 6 CDCA 362856 5057785 4.2 3.1 3.9 3.1 9.0 4.4Wright 18 120 28 27 AC 1.5 .2 .0 .0 .0 .0Stearns 16 123 31 15 DDCC 378787 5034799 .0 .0 .0 .0 .0 .0
Crow Wing 10 43 32 23 CAStearns 16 126 33 8 ADB .0 .0 .0 .0 .0 .0Stearns 16 126 33 8 AC .0 .0 .0 .0 .0 .0Wadena 12 137 33 21 CBD .0 .0 .0 .0 .0 .0Wadena 12 134 34 33 CD .0 .0 .0 .0 .0 .0Stearns 17 122 27 17 CBC 5.3 5.1 6.1 4.9 1.0 .0Stearns 16 123 30 30 C .0 .0 .0 .0 .0 .0
Cass 12 139 31 17 CCB .0 .0 .0 .0 .0 .0Stearns 16 126 33 17 DBAC 355475 5064862 .0 .0 .0 .0 .0 .0
Morrison 15 127 31 9 BDC .0 .0 .0 .0 .0 .0Morrison 15 127 31 9 BDC .0 .0 .0 .0 .0 .0
Sherburne 17 35 30 15 BBDWadena 12 134 33 2 BDA 34.3 32.1 28.9 16.1 21.9 33.8Wright 17 122 27 1 DBDD .0 .0 .0 .0 .0 .0Wright 17 122 27 1 DACD .0 .0 .0 .0 .0 .0Stearns 16 126 33 16 BA .0 .0 .0 .0 .0 .0
Morrison 15 40 31 25 DAB .0 .0 .0 .0 .0 .0Stearns 16 123 31 11 DCBStearns 16 123 31 15 DAB
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003Isanti 21 35 24 36 ACC .0 .0 .0 .0 .0 .0
Stearns 16 125 33 24 CCC .0 .0 .0 .0 .0 .0Benton 17 36 30 26 CDA 2.3 4.5 4.2 6.4 10.9 2.2Wadena 13 136 33 30 DBB 1.0 7.1 6.3 4.3 1.7 .0Morrison 15 40 30 30 CCC .0 .0 .0 .0 .0 .0
Sherburne 17 35 29 10 BDD .0 .0 .0 .0 .0 .0Stearns 16 124 32 2 BBB .0 .0 .0 .0 .0 .0Wadena 13 134 34 19 BABChisago 37 36 22 5 AD .0 .0 .0 .0 .0 .0
Cass 12 136 32 9 ABD .0 .0 .0 .0 .0 .0Stearns 16 126 33 7 BBDB 353065 5067223 .0 8.8 8.0 .0 .0 .0
Cass 11 137 30 4 D .0 .0 .0 .0 .0 .0Wadena 12 135 33 35 BCC .0 .0 .0 .0 .0 .0
Pine 34 41 19 33 CBA .0 .0 .0 .0 .0 .0Chisago 37 35 21 12 DBA 5.7 3.0 4.5 3.7 2.3 2.7Chisago 37 36 21 27 AAB 3.6 .0 6.5 5.0 .0 .0Stearns 16 125 32 7 ADA .0 .0 .0 .0 .0 .0Stearns 18 122 31 19 .0 .0 .0 .0 .0 19.0
Sherburne 17 34 27 31 BBCStearns 16 123 29 7 CCCC 391785 5036302 12.0 16.7 4.7 12.7 13.8 31.5
Sherburne 17 35 28 18 DDD 9.6 10.1 10.5 9.8 11.2 10.4Stearns 17 121 28 6 C .0 .0 .0 .0 .0 .0Wadena 12 134 33 23 BCB .0 .0 .0 .0 .0 .0
Todd 14 132 33 23 D .0 .0 .0 .0 .0 .0Sherburne 17 35 29 20 DAD .0 .0 .0 .0 .0 .0
Cass 12 135 32 12 CDA .0 .0 .0 .0 .0 .0Benton 17 36 29 29 AADB 424527 5048596 .0 .0 .0 .0 .0 .0Stearns 16 125 32 31 BDCD 362650 5050330 9.1 1.3 .0 .0 .0 25.9Isanti 21 35 25 8 AD
Mille Lacs 21 37 26 32 BA .0 .0 .0 .0 .0 .0Wadena 12 137 33 16 BWadena 12 137 35 24 ACD .0 .0 1.1 .0 .0 .0Wadena 13 135 34 26 DDB
Todd 14 130 33 20 DAD .0 .0 .0 .0 .0 .0Benton 17 36 30 27 CDC .0 .0 .0 .0 .0 .0
Sherburne 17 35 29 33 CAATodd 14 132 32 5 A .0 .0 .0 .0 .0 .0
Benton 17 36 30 28 DDD .0 .0 .0 .0 .0 .0Morrison 15 39 32 24 D .0 .0 .0 .0 .0 .0
Nobles 83 103 43 18 CBB .0 .0 .0 .0 .0 .0Watonwan 31 107 30 31 DAC
Nicollet 28 111 32 7 ADA .0 .0 .0 .0 .0 .0Martin 30 103 32 21 DBA .0 .0 .0 .0 .0 .0
Renville 25 113 35 12 BCBMeeker 18 120 30 10 BCD 0 0 0 0 0 0Meeker 18 120 30 10 BCD .0 .0 .0 .0 .0 .0
Pipestone 83 105 44 36 CCD 41.0 43.6 44.9 28.0 41.5 31.2Renville 25 113 35 17 A .0 .0 .0 .0 .0 .0Renville 25 113 35 15 CDRenville 25 114 35 26 D
Yellow Medicine 25 114 41 27 CB .0 .0 .0 .0 .0 .0Meeker 18 118 31 1 D
Kandiyohi 25 120 34 20 BCA .0 .0 .0 .0 .0 .0Renville 25 116 37 22 AC .0 .0 .0 .0 .0 .0Renville 25 116 37 22 AC .0 .0 .0 .0 .0 .0Le Sueur 39 109 25 2 DDAC .0 .0 .0 .0 .0 .0
Cottonwood 29 108 37 22 BDB .0 2.3 .0 .0 .0 .0Murray 51 107 41 9 ABA .0 .0 .0 .0 .0 .0Murray 51 107 41 10 BCA .0 .0 .0 .0 .0 .0Martin 30 103 32 33 .0 .0 .0 .0 .0 .0
Redwood 28 112 35 15 CBC .0 .0 .0 .0 .0 .0Chippewa 25 116 39 12 A .0 .0 .0 .0 .0 .0
Lac Qui Parle 25 118 41 32 DCBA .0 .0 .0 .0 .0 .0Watonwan 31 107 32 26 BBB .0 .0 .0 .0 .0 .0Watonwan 31 107 32 26 CAA .0 .0 .0 .0 .0 .0Kandiyohi 19 119 34 33 .0 .0 .0 .0 .0 .0
Swift 23 120 43 16 ADBC .0 .0 .0 .0 .0 .0Pipestone 82 108 46 18 ADC .0 .0 .0 .0 .0 .0
Cottonwood 31 105 34 17 BAA .0 .0 .0 .0 .0 .0Cottonwood 31 105 34 17 BAA .0 .0 .0 .0 .0 .0Cottonwood 31 105 34 17 BBA .0 .0 .0 .0 .0 .0
Murray 51 106 39 8 CCA .0 .0 .0 .0 .0 .0Yellow Medicine 25 117 40 30 DDCD .0 .0 .0 .0 .0 .0
Rock 83 101 46 34 DCC .0 .0 .0 .0 .0 .0Redwood 29 109 36 21 D
Swift 26 120 41 33 ACB .0 .0 .0 .0 .0 .0Pipestone 82 106 46 8 CCA .0 .0 .0 .0 .0 .0
Lac Qui Parle 24 116 46 12 BDSwift 22 120 43 34 DBBA .0 .0 .0 .0 .0 .0
Kandiyohi 19 119 34 30 CBCBrown 29 109 33 15 A .0 .0 .0 .0 .0 .0
Redwood 29 109 37 2 BBCRedwood 29 110 38 29 DAD
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003Blue Earth 30 108 27 31 DA .0 .0 .0 .0 .0 .0
McLeod 19 116 30 14 CAA .0 2.7 .0 .0 .0 .0Redwood 29 109 38 3 CCB .0 .0 .0 .0 .0 .0Redwood 29 110 38 33 B .0 .0 .0 .0 .0 .0
Nobles 83 103 42 20 BDC .0 .0 .0 .0 .0 .0Murray 83 105 43 30 D
Yellow Medicine 24 114 45 2 CAB 21.6 48.0 32.4 17.4 7.5 24.7Mower 43 103 14 2 CC .0 .0 .0 .0 .0 .0Mower 48 101 18 9 B .0 .0 .0 .0 .0 .0
Houston 43 104 6 32 BCC .0 .0 .0 .0 .0 .0Freeborn 49 101 20 30 AA .0 .0 .0 .0 .0 .0Freeborn 49 102 21 36 DA .0 .0 .0 .0 .0 .0
Dodge 48 105 18 31 DDBC .0 .0 .0 .0 .0 .0Dodge 48 105 18 31 DDBC .0 .0 .0 .0 .0 .0
Houston 43 104 4 27 CCCMower 43 103 14 11 BA .0 .0 .0 .0 .0 .0Fillmore 43 102 13 22 ADB .0 .0 .0 .0 .0 .0Fillmore 43 102 13 22 AD
Goodhue 38 114 16 23 BB .0 .0 .0 .0 .0 .0Goodhue 39 112 18 13 ABB .0 .0 .0 .0 .0 .0Dakota 38 114 19 22 DCD .0 .0 .0 .0 .0 .0Dakota 38 114 19 22 CDB .0 .0 .0 .0 .0 .0
Washington 20 31 21 4 CAB .0 .0 .0 .0 .0 .0Scott 33 113 24 4 BBDA .0 .0 .0 .0 .0 .0
Anoka 20 32 25 33 BAD .0 .0 .0 .0 .0 .0Anoka 20 32 24 21 BDDD 6.5 4.7 6.2 7.1 4.6 6.9Scott 33 115 23 1 AACD 458628 4961051 .0 1.1 1.0 .0 .0 .0
Hennepin 33 116 22 32 DCCA .0 2.5 2.5 2.5 .0 .0Hennepin 33 116 22 31 DDAB 10.5 5.3 4.6 .0 .0 .0
Dakota 38 113 19 12 DCScott 33 113 24 24 DC .0 .0 .0 .0 .0 .1
Dakota 38 114 18 20 CC .0 .0 .0 .0 .0 .0Carver 19 116 26 10 DC .0 .0 .0 .0 .0 .0
Otter Tail 56 133 39 22 ACClay 58 141 48 22 D .0 .0 .0 .0 .0 .0Pope 18 125 36 32 BDB .0 .0 .0 .0 .0 .0
Otter Tail 13 134 36 22 DDB .0 .0 .0 .0 .0 .0Carlton 5 48 16 34 CABStearns 17 122 28 29 BAD .0 .0 .0 .0 .0 .0Stearns 17 123 28 13 DBCB 13.0 13.0 13.0 12.9 13.3 26.2Wadena 13 134 33 3 BC .0 .0 .0 .0 .0 .0Wadena 13 136 34 13 BD .0 .0 .0 .0 .0 .0
Cass 12 136 32 35 CASherburne 17 33 27 7 DDB
Pine 34 41 19 33 DACPine 34 41 19 33 DACTodd 12 133 32 18 BC .0 .0 .0 .0 .0 .0
Wadena 13 135 34 6 CAA .0 .0 .0 .0 .0 .0Isanti 21 34 23 7 CC
Sherburne 17 35 30 15 BDASherburne 17 34 29 24 ABA 8.2 12.6 10.2 8.2 9.5 10.2
Benton 15 38 31 10 DCDC 408069 5071900 .0 .0 .0 .0 .0 .0Wadena 13 134 34 5 DAD 11.0 11.8 5.5 4.4 2.7 6.7
Sherburne 17 35 29 17 CDD .0 .0 .0 .0 .0 .0Sherburne 17 35 28 8 BCA .0 .0 .0 .0 .0 .0Sherburne 17 35 29 34 ACC .0 11.1 12.9 15.3 13.3 16.8Sherburne 17 35 29 34 ACD 3.5 1.2 3.8 2.9 3.1 5.2Sherburne 17 35 29 9 C .0 .0 .0 .0 .0 .0Sherburne 17 34 28 19 AD .0 .0 .0 .0 .0 .0Blue Earth 32 107 27 12 AC .0 .0 .0 .0 .0 .0
Brown 29 109 33 14 AAB 10.3 11.2 10.1 11.4 11.3 11.9Brown 29 110 31 20 B
Redwood 29 109 37 14 ABC .0 .0 .0 .0 .0 .0Swift 23 121 42 30 DDB
Mower 43 104 16 14 D .0 .0 .0 .0 .0 .0Goodhue 38 114 16 23 DB .0 .0 .0 .0 .0 .0Dakota 38 114 19 29 AA .0 .0 .0 .0 .0 .0Scott 33 113 24 33 CDB .0 .0 .0 .0 .0 .0Scott 33 113 24 4 CDB .0 .0 .0 .0 .0 .0Pope 26 124 36 19 ACC
Otter Tail 56 136 39 6 CAB .0 .0 .0 .0 .0 .0Clay 58 138 47 32 ADC .0 .0 .0 .0 .0 .0
Wilkin 56 132 45 36 ABC .0 .0 .0 .0 .0 .0Norman 60 143 45 4 DAD .0 .0 .0 .0 .0 .0
Pope 26 125 37 22 CBB .0 .0 .0 .0 .0 .0Itasca 9 55 25 23 DCA
Wadena 12 134 33 12 BCCWadena 12 135 33 1 CCDA .0 .0 .0 .0 .0 .0Wadena 12 134 33 23 CBBWadena 13 134 33 17 BAB .0 .0 .0 .0 .0 8.5Morrison 10 40 32 19 BBC .0 .0 .0 .0 .0 .0
Cass 11 137 29 21 BCCTodd 14 130 33 12 ADA .0 .0 .0 .0 .0 .0
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003Cass 12 135 32 12 BBD .0 .0 .0 .0 .0 .0
Brown 29 109 33 23 BAD 21.1 18.8 18.9 28.3 21.4 28.3Blue Earth 30 107 27 21 .0 .0 .0 .0 .0 .0Blue Earth 30 107 27 28 .0 .0 .0 .0 .0 .0Freeborn 50 101 23 22 BC .0 .0 .0 .0 .0 .0
Rice 41 109 19 7 BAC .0 .0 .0 .0 .0 .0Dakota 38 114 18 11 BBD .0 .0 .0 .0 .0 .0
Clay 58 139 44 6 CDD .0 .0 .0 .0 .0 .0Otter Tail 13 137 37 9 ACA 4.0 10.7 5.2 .0 .0 .0
Kittson 70 161 47 15 AADMorrison 15 41 30 32 CAC .0 .0 .0 .0 .0 .0Stearns 17 123 27 30 ACC .0 .0 .0 .0 .0 .0Stearns 17 123 27 30 DBB .0 .0 .0 .0 .0 .0Benton 17 36 30 23 D .0 .0 .0 .0 .0 .0Stearns 17 123 28 25 BD .0 .0 .0 .0 .0 .0Stearns 16 122 29 9 ABDB 395919 5027988 .0 7.7 4.2 2.6 .8 4.4Stearns 16 122 29 9 ABDC 395864 5027895 .0 .0 .0 .0 .0 .0Wadena 13 134 34 11 CADC 6.7 8.1 7.3 3.6 3.6 5.7Wright 18 121 25 25 DD .0 .0 .0 .0 .0 .0
McLeod 19 115 30 21 CAD .0 .0 .0 1.4 .9 .2Yellow Medicine 25 114 42 13 DCC .0 .0 .0 .0 .0 .0
Lac Qui Parle 24 117 43 10 DDAD 17.2 28.8 18.1 19.8 17.8 25.5Lac Qui Parle 24 117 43 14 BBC .0 .0 .0 .0 .0 .0
Freeborn 49 102 22 1 CDD .0 .0 .0 .0 .0 .0Freeborn 49 102 22 1 CACOtter Tail 56 137 38 33 CB .0 .0 .0 .0 .0 .0Otter Tail 13 134 37 12 BCD .0 .0 .0 .0 .0 .0Otter Tail 56 137 38 23 DCB
Polk 67 153 50 16 BCBD .0 .0 .0 .0 .0 .0Polk 67 153 50 22 CBBD .0 .0 .0 .0 .0 .0Polk 67 153 50 16 CADA .0 .0 .0 .0 .0 .0
Douglas 14 127 39 1 CCD .0 .0 .0 .0 .0 .0Kittson 70 161 46 31 BD .0 .0 .0 .0 .0 .0
Otter Tail 13 134 36 14 AAD 12.8 14.7 8.7 7.5 5.3 8.7Otter Tail 56 135 40 4 BCDA .0 .0 .0 .0 .0 1.8
Polk 63 151 49 21 BDB .0 .0 .0 .0 .0 .0Clay 58 140 47 34 CBA
Wilkin 56 132 45 27 DCD .0 .0 .0 .0 .0 5.2Wilkin 56 132 45 33 ABC .0 .0 .0 .0 .0 .0
Otter Tail 56 137 38 32 ADB .0 .0 .0 .0 .0 .0Becker 56 138 43 2 CDA .0 .0 .0 .0 .0 .0Becker 56 138 43 2 CDABecker 13 139 37 19 CBD .0 .0 .0 .0 .0 2.4
Hubbard 12 139 35 1 ADBD .0 .0 .0 .0 .0 .0Clearwater 66 147 37 11 CDC 0 0 0 0 0 0Clearwater 66 147 37 11 CDC .0 .0 .0 .0 .0 .0Clearwater 66 148 36 35 BCCClearwater 66 148 36 33 DDB
Norman 60 144 44 17 BDDPope 18 124 36 15 BDDPope 26 124 36 21 BAD .0 .0 .0 .0 .0 .0Clay 60 142 45 32 BC .0 .0 .0 .0 .0 .0Clay 58 137 45 11 DACClay 58 137 45 12 CBD
Sherburne 17 35 28 17 AA .0 .0 .0 .0 .0 .0Todd 14 130 33 1 BCD 10.0 .0 .0 .0 .0 .0
Stearns 18 124 35 23 CDA .0 .0 .0 .0 .0 .0Sherburne 17 35 29 30 ABD .0 .0 .0 .0 20.9 .0
Todd 14 132 33 23 BACB .0 .0 .0 .0 .0 .0Todd 14 133 32 14 AD .0 .0 .0 .0 .0 .0Todd 14 131 33 28 DA 11.0 9.7 9.0 9.0 6.1 4.4
Stearns 16 122 29 24 ACA .0 .0 .0 .0 .0 .0Wadena 12 136 33 25 ABAA .0 .0 .0 .0 .0 .0
Sherburne 17 34 29 7 DCAA .0 .0 .0 .0 .0 .0Stearns 16 127 33 32 ACD .0 .0 .0 .0 .0 .0
Todd 14 132 33 16 AD .0 .0 .0 .0 .0 .0Benton 17 36 30 27 DCC 8.5 5.9 9.1 8.6 7.1 8.5Meeker 18 120 31 13 BAB .0 .0 .0 .0 .0 .0Brown 29 109 33 15 ACB .0 .0 .0 .0 .0 .0
Pipestone 82 106 46 6 ADC .0 .0 .0 .0 .0 .0Meeker 18 120 31 1 DCD
Blue Earth 28 108 27 7 BADB .0 .0 .0 .0 .0 .0Rock 83 102 45 10 DC .0 .0 .0 .0 .0 .0
Pipestone 82 107 46 11 BBD .0 .0 .0 .0 .0 .0Kandiyohi 19 117 33 17 CDB .0 .0 .0 .0 .0 .0
Yellow Medicine 25 115 40 23 BBBWabasha 40 109 9 7 CCC .0 .4 .8 .4 10.4 .6
Rice 39 111 19 12 CABGoodhue 39 112 18 36 CAAGoodhue 39 112 18 21 AB .0 .0 .0 .0 .0 .0Freeborn 48 103 20 1 CDakota 38 115 17 31 DDD .0 .0 .0 .0 .0 .0Dakota 38 113 20 2 CBC .0 .0 .0 .0 .0 .0
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003Anoka 20 31 22 1 BB .0 .0 .0 .0 .0 .0Anoka 20 32 24 26 CDCDakota 38 114 20 36 CCBDakota 38 114 18 12 BCC
Otter Tail 56 135 39 29 ADDA .0 .0 .0 .0 .0 .0Otter Tail 56 136 40 33 CDB .0 .0 .0 .0 .0 .0Traverse 54 128 47 10 ABD .0 .0 .0 .0 .0 .0Douglas 26 127 36 30 CDB
Itasca 7 55 27 13 CCA .0 .0 .0 .0 .0 .0Chisago 37 33 21 17 CBB .0 .0 .0 .0 .0 .0
Sherburne 20 32 26 24 DBA 2.8 3.0 2.9 1.4 2.5 1.4Cass 12 134 32 19 BC .0 .0 .0 .0 .0 .0
Sherburne 17 33 27 34 ACA .0 .0 .0 .0 .0 .0Sherburne 17 35 27 2 DCC .0 .0 .0 .0 .0 .0
Benton 15 38 32 36 AADBWright 18 120 26 26 CBD .0 .0 .0 .0 .0 .0Wright 18 119 26 24 CDAWright 18 119 26 24 DCAStearns 15 125 29 28 ABC .0 .0 .0 .0 .0 .0
Lyon 29 111 42 35 DDB .0 .0 .0 .0 .0 .0Pipestone 83 106 44 17 DCC 2.0 13.5 35.0 5.2 4.0 4.5
Watonwan 31 107 31 22 BAC 7.0 7.0 6.8 4.9 .0 6.8Watonwan 31 107 31 22 ADD .0 .0 .0 .0 .0 .0
Martin 30 104 30 31 AAA .0 .0 .0 .0 .0 .0Martin 30 103 29 29 BDD .0 .0 .0 .0 .0 .0Martin 30 103 29 29 DDB .0 .0 .0 .0 .0 .0Lyon 27 112 40 16 DBB 20.0 24.0 18.0 21.2 14.1 21.2
Lac Qui Parle 24 118 44 24 CBD .0 .0 .0 .0 .0 .0Goodhue 39 112 17 7 CCBDakota 38 114 20 35 CAD .0 .0 .0 10.8 14.4 19.0Anoka 21 33 24 34 DACAnoka 21 33 24 34 CAC
Otter Tail 56 137 39 23 CDCClay 58 139 46 1 BDPope 26 124 36 20 CAA .0 .0 .0 .0 .0 .0Clay 58 140 46 14 CDB 7.7 37.6 37.3 23.2 3.4 3.5Clay 58 141 46 25 BBBClay 58 141 46 26 DDDClay 58 141 46 35 BDD
Douglas 26 127 36 30 BDDItasca 9 54 24 17 DAD .0 .0 .0 .0 .0 2.5Itasca 7 57 27 26 CDA .0 .0 .0 .0 .0 .0
Sherburne 17 34 28 34 DBC .0 .0 .0 .0 .0 .0Sherburne 17 34 28 34 DA .0 .0 .0 .0 .0 .0Sherburne 17 33 27 23 DDB 0 0 0 0 0 0Sherburne 17 33 27 23 DDB .0 .0 .0 .0 .0 .0Morrison 15 41 31 19 BAC 1.9 6.7 5.1 4.6 .0 5.1Morrison 15 41 31 19 BAB .0 .0 .0 .0 .0 .0Morrison 15 41 31 19 BBD .0 .0 .0 .0 .0 .0
Wright 18 119 25 20 ACAWadena 13 134 34 17 BBA 14.1 16.8 13.8 9.1 6.8 12.0Chisago 37 34 21 19 DAB .0 .0 .0 .0 1.5 2.5
Crow Wing 10 43 32 23 CADStearns 15 126 29 23 CDCA 398926 5061976 .0 .0 .0 .0 .0 .0Stearns 15 126 29 23 BCD .0 .0 .0 .0 .0 .0Stearns 17 123 28 24 ABD .0 .0 .0 .0 .0 .0Wright 18 119 25 19 CAATodd 16 127 35 26 DCA 22.6 49.2 44.4 26.0 18.0 45.6
Stearns 16 125 32 7 BBB .0 .0 .0 .0 .0 .0Stearns 16 126 33 33 BBCA 356104 5060730 .0 .0 .0 .0 .0 .0Stearns 16 126 34 26 CCA .0 .0 .0 .0 .0 .0
Todd 16 127 33 14 ADDStearns 17 123 28 26 CACBrown 31 108 32 16 AD .0 .0 .0 .0 .0 .0Brown 29 109 32 20 ABA .0 .0 .0 .0 .0 .0Martin 30 103 32 30 ADC .0 .0 .0 .0 .0 .0Nobles 84 101 39 7 CBA .0 .0 .0 .0 .0 .0Nobles 84 101 39 6 BCCCarver 33 116 25 31 BAC .0 .0 .0 .0 .0 .0
Washington 20 32 20 30 CDC .0 .0 .0 .0 .0 .0Dakota 39 112 19 7 CDA .0 .0 .0 .0 .0 .0
Washington 37 30 21 23 CDCOtter Tail 56 135 39 9 ADCOtter Tail 56 136 39 4 ADC .0 .0 .0 .0 .0 .0Otter Tail 56 136 39 4 ADD .0 .0 .0 .0 .0 .0St Louis 73 60 16 13 CAB .0 .0 .0 .0 .0 .0
Morrison 10 42 32 25 BBA .0 .0 .0 .0 .0 .0Sherburne 17 32 26 4 AAB .0 .0 .0 .0 .0 .0Sherburne 17 33 26 33 CDA .0 .0 .0 .0 .0 .0Wadena 13 134 35 28 BDD .0 37.7 26.9 31.0 24.0 25.7Morrison 10 131 30 20 CB .0 .0 .0 .0 .0 .0
Todd 14 132 33 9 CAATodd 14 132 33 16 BBB
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003Stearns 18 123 34 27 ACD .0 .0 .0 .0 .0 .0Stearns 18 123 34 27 ADCWadena 13 136 34 14 BAB .0 .0 .0 .0 .0 .0
Sherburne 17 34 29 13 CAB .0 .0 .0 .0 .0 .0Stearns 18 123 35 30 DADA .0 .0 .0 .0 .0 .0Isanti 21 34 23 2 CBCA .0 .0 .0 .0 .0 .0
Sherburne 17 35 30 17 DD .0 .0 .0 .0 .0 .0Sherburne 17 33 27 34 BAD .0 .0 .0 .0 .0 .0
Todd 16 127 35 25 BAD 12.4 21.0 15.3 10.3 11.9 12.5Todd 16 127 35 25 CCA 10.8 11.3 26.3 24.0 10.8 22.4
Cottonwood 51 105 36 16 BDA .0 .0 .0 .0 .0 .0Blue Earth 30 106 27 18 CDB .0 .0 .0 .0 .0 .0
Brown 28 109 32 29 DCD .0 .0 .0 .0 .0 .0Yellow Medicine 25 115 41 9 ADA .0 1.8 .0 1.8 3.6 2.4
Cottonwood 29 108 37 15 DAD .0 .0 .0 .0 .0 .0Cottonwood 29 108 37 15 DBC .0 .0 .0 .0 .0 .0Cottonwood 29 108 37 15 CBB .0 .0 .0 .0 .0 .0
Yellow Medicine 25 114 40 10 CAASwift 26 122 38 23 ADA .0 .0 .0 .0 .0 .0
Meeker 18 119 30 19 ACB .0 .0 .0 .0 .0 .0Meeker 18 120 32 31 ACA 5.8 5.8 2.7 4.3 .0 3.6
Watonwan 31 107 32 22 BDB 4.3 .5 .0 .6 .7 .9Freeborn 49 101 20 8 CDC .0 .0 .0 .0 .0 .0Freeborn 49 101 20 8 CDD .0 .0 .0 .0 .0 .0Freeborn 49 102 21 18 DCCGoodhue 38 113 15 6 ACB .0 .7 1.8 1.1 1.1 3.2
Scott 33 113 24 5 BBC .0 .0 .0 .0 .0 .0Carver 19 116 26 16 CCCDakota 38 113 20 2 CADB .0 .0 .0 .0 .8 .0Pope 26 124 36 17 C .0 .0 .0 .0 .0 .0
Otter Tail 56 134 40 10 BDC 9.4 11.0 1.7 7.1 5.6 10.2Kittson 69 160 46 20 CDD .0 .0 .0 .0 .0 .0
Kanabec 36 39 24 10 ADCCrow Wing 10 44 28 29 CBD .0 .0 .0 .0 .0 .0
Todd 14 130 33 20 AAC .0 .0 .0 .0 .0 .0Cass 12 138 32 23 ACC .0 .0 .0 .0 .0 .0
Wadena 13 134 34 26 ACBC 7.7 7.7 .0 1.6 2.2 9.6Stearns 15 125 28 5 ADA .0 .0 .0 .0 .0 .0Stearns 16 124 33 13 BABD 361427 5046178Wadena 13 134 35 34 ACDA 8.5 11.3 9.4 4.1 3.2 7.5
Cass 8 140 28 1 DBDStearns 15 124 30 21 DBB .0 .0 .0 .0 .0 .0Stearns 17 122 27 20 CDC 9.4 10.6 10.6 8.2 .0 3.5
Morrison 15 41 30 30 BAC .0 .0 .0 .0 .0 .0Stearns 16 125 32 31 BCCD 362322 5050353 0 0 0 0 0 0Stearns 16 125 32 31 BCCD 362322 5050353 .0 .0 .0 .0 .0 .0Wadena 12 134 33 23 ABB .0 .0 .0 .0 .0 .0Kanabec 36 39 24 3 DDA
Todd 14 131 33 2 BCA .0 .0 .0 .0 .0 .0Wright 18 118 28 9 BBC .0 .0 .0 .0 .0 .0
Morrison 10 42 32 23 BCDB 396038 5106254 .0 .0 .0 .0 .0 .0Sherburne 17 35 30 2 CDA .0 .0 .0 .0 .0 .0
Swift 23 121 42 31 DCBrown 29 109 33 14 ACC .0 .0 .0 .0 5.9 12.5Brown 29 109 31 4 BCD .0 .0 .0 .0 .0 .0Brown 29 109 31 4 BBD .0 .0 .0 .0 .0 .0Brown 28 108 33 15 ABAD 357362 4891778 .0 .0 .3 .0 .0 .0Anoka 21 32 25 12 CBA .0 .0 .0 .0 .0 .0Wilkin 57 134 48 3 CAB
Hubbard 12 139 35 1 ABD .0 .0 .0 .0 .0 .0Pope 18 124 36 22 DCD .0 .0 .0 .0 .0 .0
Becker 60 141 40 4 CCD .0 .0 .0 .0 .0 .0Douglas 14 129 37 23 BCC .0 .0 .0 .0 .0 .0Stearns 17 123 27 19 BDCC 411472 5033538 13.0 13.0 15.1 10.8 8.6 7.2Wadena 12 134 33 24 DDB .0 .0 .0 .0 .0 .0Stearns 16 123 29 15 CBD .0 .0 .0 .0 .0 .0Stearns 16 124 33 21 BAC .0 .0 .0 .0 .0 .0Stearns 18 122 32 15 BAA 5.6 5.7 6.6 6.6 4.6 6.5
Kandiyohi 25 118 36 15 AAB .0 .0 .0 .0 .0 .0Blue Earth 30 106 28 24 DDA .0 .0 .0 .0 .0 .0
Jackson 51 104 35 7 DBDNobles 83 101 41 25 ACB .0 .0 .0 .0 .0 .0Dodge 48 105 18 25 BA .0 .0 .0 .0 .0 .0
Goodhue 39 112 18 28 BAD .0 .0 .0 .0 .0 .0Dakota 38 114 17 6 ACD 14.5 18.8 14.6 15.0 12.6 12.1
Clearwater 66 147 37 11 DDB .0 .1 .2 .0 .0 .0Stevens 23 125 42 36 ADD .0 .0 .0 .0 .0 .0
Otter Tail 13 133 37 13 DBD 24.3 27.0 23.0 10.5 8.1 18.0St Louis 3 58 15 21 BDC .0 .0 .0 .0 .0 .0Stearns 16 125 32 17 BCCD 363958 5055187 5.2 4.9 1.0 .0 1.7 3.6Stearns 16 125 32 17 BCBC 363909 5055442 .0 .0 .0 2.9 .0 .0Stearns 16 125 32 31 BCDA 5.0 5.0 5.0 6.5 3.5 4.5Stearns 16 124 33 12 ACB .0 .0 .0 .0 .0 .0
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003Cass 12 138 32 21 CDDD .0 .0 .0 .0 .0 .0
Mille Lacs 21 37 26 27 ABA .0 .0 .0 .0 .0 .0Crow Wing 15 43 28 30 BCD .0 .0 .0 .0 .0 .0Morrison 15 127 29 8 ABA .0 2.4 2.4 .0 .0 7.9Hennepin 18 120 23 17 ABC .0 .0 .0 .0 .0 .0
Pope 26 125 37 26 CBB .0 .0 .0 .0 .0 .0Otter Tail 13 133 37 9 CAC .0 .0 .0 .0 .0 .0
Polk 63 150 46 33 DCC .0 .0 .0 .0 .0 .0Polk 63 150 46 33 DCC .0 .0 .0 .0 .0 .0Polk 67 152 50 10 BCC .0 .0 .0 .0 .0 .0
Carlton 5 48 17 31 DDD .0 .0 .0 .0 .0 6.0St Louis 3 50 16 25 DCD .0 .0 .0 .0 .0 .0Wadena 13 134 34 13 CBD .0 .0 .0 .0 .0 .0
Mille Lacs 21 37 26 34 BAD .0 .0 .0 .0 .0 .0Wadena 13 136 34 9 DAC .0 .0 .0 .0 .0 .0Morrison 15 40 31 25 DAC 18.0 18.0 17.0 21.0 .0 .0
Pine 34 40 19 2 CAD .0 .0 .0 .0 .0 .0Stearns 16 124 33 13 BAD 2.3 8.3 7.9 5.0 3.2 6.7
Cass 12 135 31 31 ADA .0 .0 .0 .0 .0 .0Todd 16 127 33 14 DBB .0 .0 .0 .0 .0 .0
Sherburne 17 35 29 34 DCA 6.9 9.1 5.7 9.4 6.4 9.0Wright 18 119 26 24 CAC .0 .0 .0 .0 .0 .0Stearns 16 123 29 18 ACC .0 .0 .0 .0 .0 .0Stearns 16 123 29 18 ADD .0 .0 .0 .0 .0 .0Wright 18 119 26 24 DCA .0 .0 .0 .0 .0 .0
Morrison 15 127 30 15 AAB .0 .0 .0 .0 .0 .0Cass 12 135 32 12 ADB .0 .0 .0 .0 .0 .0
Sherburne 17 34 30 10 CAA .0 .0 .0 .0 .0 .0Sherburne 17 34 30 14 BABSherburne 17 35 29 31 BBBSherburne 17 35 30 25 DCA 4.9 20.2 18.3 3.3 3.4 1.7
Pope 18 125 36 32 AAD .0 .0 .0 .0 .0 .0Otter Tail 13 134 36 6 ADC .0 .0 .0 .0 3.3 7.5
Polk 61 150 49 17 CCC .0 .0 .0 .0 .0 .0Polk 61 150 49 8 CCC .0 .0 .0 .0 .0 .0Polk 61 150 49 6 CAC .0 .0 .0 .0 .0 .0
Douglas 26 127 37 34 CDB .0 .0 .0 .0 .0 .0Otter Tail 56 137 39 22 CD .0 .0 .0 3.5 3.6 2.7Otter Tail 56 137 39 23 CDC .0 .0 .0 .0 .0 .0Otter Tail 56 136 38 18 CCBC .0 .0 .0 .0 .0 .0Otter Tail 13 133 38 13 BDD .0 .0 .0 .0 .0 .0Douglas 26 127 37 29 CCD .0 .0 .0 .0 .0 .0
Otter Tail 56 136 39 4 ACA .0 .0 .0 .0 .0 .0Pennington 63 153 42 10 CBB .0 .0 .0 .0 .0 .0Otter Tail 13 134 37 27 DBD 0 0 0 0 0 0Otter Tail 13 134 37 27 DBD .0 .0 .0 .0 .0 .0Otter Tail 13 132 37 8 ABD .0 .0 .0 .0 .0 .0Otter Tail 56 136 39 23 D .0 .0 .0 .0 .0 .0Otter Tail 56 135 41 7 BCD .0 .0 .0 .0 .0 .0Douglas 26 130 38 8 ABC 4.5 4.3 4.0 1.4 1.4 4.3
Polk 61 147 44 19 BDDC 8.0 20.7 33.9 18.5 17.6 15.2Sherburne 17 32 26 4 ACB .0 .0 .0 .0 .0 .0Wadena 13 134 34 16 BAC 16.7 22.5 17.4 5.2 10.2 18.9Stearns 16 125 33 1 BCD .0 .0 .0 .0 .0 .0Stearns 16 123 30 30 CBC
Mille Lacs 21 37 26 34 BAC .0 .0 .0 .0 .0 .0Stearns 16 125 32 7 BBAC 362498 5057444 .0 .0 .0 .0 .0 .0Stearns 16 125 33 6 BADC 353283 5059093 12.3 11.3 10.4 5.1 4.1 9.5Benton 17 36 30 23 DCA .0 .0 .0 .0 .0 .0
Todd 12 133 32 5 DCB .0 .2 .0 .0 1.1 .4Todd 12 133 32 5 BDC 5.1 .0 .0 .0 .0 4.7Todd 12 133 32 5 CCA .0 7.1 6.9 .0 .0 .0
Wadena 13 136 34 16 CBC .0 .0 .0 .0 .0 .0Wadena 13 134 34 8 DDC .0 .0 .0 .0 .0 .0Morrison 15 127 29 5 CCC 2.4 .0 2.5 2.5 2.5 2.4Morrison 15 127 29 5 CCB .0 .0 .0 .0 .0 .0Wadena 12 134 33 28 CDC .0 .0 .0 .0 .0 .6Stearns 16 126 32 21 ABB .0 .0 .0 .0 .0 .0Chisago 37 36 21 33 A 7.3 5.9 8.0 6.3 6.4 9.6
Crow Wing 10 44 30 31 CBA .0 .0 .0 .0 .0 .0Sherburne 17 34 26 32 AABC .0 .0 .0 .0 .0 4.8
Chisago 37 35 21 10 DBC .0 .0 .0 .0 .0 .0Chisago 37 35 21 3 CDC .0 .0 .0 .0 .0 .0Chisago 37 35 21 4 AAD .0 .0 .6 .0 .0 .0Chisago 37 35 21 11 ACAD 7.6 3.3 .0 .0 .0 .0Chisago 37 35 21 12 CCAA 25.4 27.2 30.5 17.0 3.4 .0Chisago 37 35 21 14 BC .0 .0 .0 .0 .0 .0
Sherburne 17 34 26 29 CABD .0 .0 .0 .0 .0 7.0Sherburne 17 35 26 7 ADA
Stearns 17 122 29 1 BBCA 6.9 .4 .0 .0 .0 .0Wadena 12 134 33 30 DBC 16.4 14.2 10.2 8.5 11.3 13.5
Todd 14 132 33 23 DCC .0 .0 .0 .0 .0 .0Morrison 15 40 31 25 DABA .0 1.2 22.0 20.0 20.0 22.0
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003Stearns 15 126 29 36 CCA 2.2 15.6 6.4 4.6 2.0 5.4Chisago 37 36 21 27 AC .0 .0 .0 .0 .0 5.6Chisago 37 35 21 1 BC 24.1 20.2 24.7 34.4 .0 30.4Chisago 37 35 21 15 AB .0 2.4 .0 .0 .0 .0Chisago 37 35 21 14 C .0 3.7 3.2 .0 .0 2.2Chisago 37 35 21 13 A .0 .0 5.2 .0 .0 .0
Morrison 15 127 30 8 CCB .0 .0 .0 .0 .0 .0Wright 18 119 26 17 BCA 2.6 2.4 .0 .0 .0 2.2Wright 18 119 25 19 DBC 2.3 4.0 .0 .0 .0 .0Todd 16 128 33 32 DDAA .0 .0 2.6 .0 .0 6.7
Wadena 14 134 33 31 BBD .0 .0 .0 .0 .0 .0Sherburne 17 35 30 12 CCA 11.6 15.4 12.3 12.3 12.7 11.2Morrison 15 39 31 4 ACCB 6.0 9.5 8.8 6.2 4.7 5.4Stearns 16 125 32 20 BBDA 364125 5054096 22.5 16.8 4.3 3.8 2.6 7.6Stearns 16 126 33 8 BAC .0 .0 .0 .0 .0 .0Stearns 16 125 32 17 BCCD 363956 5055156 8.6 4.7 2.7 2.2 .9 1.8Kanabec 36 39 25 10 ACC .0 .0 .0 .0 .0 .0
Sherburne 17 33 27 32 ADD .0 .0 .0 .0 .0 .0Brown 29 109 33 15 AC .0 .0 .0 .0 .0 .0
Big Stone 55 124 46 30 AAC .0 1.0 .0 .0 .0 .0Rock 83 101 45 2 DCCLyon 27 112 40 16 DCCB 288156 4931160 10.0 12.0 7.0 7.1 .0 10.6
Goodhue 38 114 15 30 DCA .0 .0 .0 .0 .0 .0Goodhue 38 114 16 36 ADD .0 .0 .0 .0 .0 .0Freeborn 50 101 22 5 CBB .0 .0 .0 .0 .0 .0Olmsted 41 108 15 5 CBC .0 .0 .0 .0 .0 .0
Steele 39 108 20 8 DBB .0 .0 .0 .0 .0 .0Olmsted 41 106 13 10 CCA .0 .0 .0 .0 .0 .0Wabasha 41 109 14 9 CDC .0 .0 .0 .0 .0 .0
Anoka 20 32 24 16 CDDC 4.4 5.9 5.1 5.5 5.2 .0Anoka 20 32 23 12 BBA 5.9 2.7 2.0 4.8 3.4 6.3Anoka 20 32 23 12 CBA 5.8 5.3 1.6 4.1 4.8 5.6
Hennepin 33 115 21 8 BCBB .0 .0 .0 .0 .0 .0Dakota 39 112 20 3 DAA .0 13.8 14.7 10.6 13.6 10.9
Hubbard 12 139 34 10 CDD .0 .0 .0 .0 .0 .0Hubbard 12 139 34 10 DBA .0 .0 .0 .0 .0 .0
Polk 63 151 49 35 BAC .0 .0 .0 .0 .0 .0Polk 61 149 49 22 DDA .0 .0 .0 .0 .0 .0
Otter Tail 56 133 38 33 BCB 17.4 18.5 19.2 14.4 .0 27.4Polk 63 150 49 1 BBB .0 .0 .0 .0 .0 .0Polk 63 150 47 27 ADAD .0 .0 .0 .0 .0 .0Polk 61 148 49 26 AAC .0 14.8 10.9 8.7 .0 21.2Polk 61 148 49 26 AAC .0 .0 .0 .0 .0 .0Polk 61 150 49 29 ADBD .0 .0 .0 .0 .0 .0Polk 61 150 49 29 ACB 0 0 0 0 0 0Polk 61 150 49 29 ACB .0 .0 .0 .0 .0 .0Pope 26 123 40 34 DDA .0 .0 .0 .0 .0 .0
Wilkin 57 133 47 28 CAAD .0 .0 .0 .0 .0 .0Polk 61 148 48 30 CBC .0 .0 .0 .0 .0 .0Polk 61 147 49 25 CDA .0 .0 .0 .0 .0 .0Polk 63 151 49 35 CDBB .0 .0 .0 .0 .0 .0
Otter Tail 13 137 37 9 DAC .0 .0 .0 .0 .0 .0Otter Tail 13 133 39 3 BBC .0 .0 .0 .0 18.0 16.8
Polk 63 150 48 8 CC .0 .0 .0 .0 .0 .0Polk 63 150 48 7 DC .0 .0 .0 .0 .0 .0
Norman 59 145 49 13 DBBA 209855 5254043 .0 .0 .0 .0 .0 .0Norman 59 145 49 13 CAAD .0 .0 .0 .0 .0 .0Norman 59 145 49 13 DBDA .0 .0 .0 .0 .0 .0Norman 59 145 49 13 DAAC .0 .0 .0 .0 .0 .0Norman 59 145 49 13 DDA .0 .0 .0 .0 .0 .0Norman 59 145 49 13 DCDD .0 .0 .0 .0 .0 .0
Polk 67 151 48 32 CDC .0 .0 .0 .0 .0 .0Polk 67 150 48 5 ABC .0 .0 .0 .0 .0 .0Polk 67 150 48 5 BAC .0 .0 .0 .0 .0 .0Polk 63 150 47 27 ADAD 226319 5298763 7.4 32.9 35.6 8.8 7.0 12.0
Becker 12 138 37 5 CBD .0 .0 .0 .0 .0 .0Polk 61 147 48 23 BBB .0 .0 .0 .0 .0 .0Polk 61 147 49 24 ABCA 210657 5272324 .0 .0 .0 .0 .0 .0
Carlton 35 47 20 36 DD .0 .0 .0 .0 .0 .0Carlton 35 47 20 36 DA .0 .0 .0 .0 .0 .0
Sherburne 17 35 29 30 ABA .0 .0 .0 .0 .0 .0Todd 14 133 32 23 DBD .0 .0 .0 .0 .0 .0
Wadena 13 134 33 18 BDC .0 6.5 .0 .0 .0 .0Todd 16 127 35 25 BBC 23.0 39.1 37.4 24.4 14.4 32.9
Stearns 16 125 32 6 BCAC 362591 5058694 3.7 2.5 2.9 1.2 1.2 2.8Pine 34 41 19 34 CBB 1.5 2.9 2.0 1.1 1.8 2.4
Wadena 14 134 33 31 ACDD 2.0 .0 .0 .0 .0 .0Wadena 13 134 34 20 ACA 10.1 25.9 36.3 56.4 31.2 52.3Kanabec 36 38 24 12 ACCA .0 .0 .0 .0 .0 .0Wadena 12 134 33 29 BCC 23.6 16.8 17.7 12.0 7.2 18.3Wadena 12 134 33 33 BDD .0 .0 .0 .0 .0 6.5
Pine 36 38 22 7 BACC .0 .0 .0 .0 .0 .0Benton 17 36 29 36 DCDB 430552 5045707 37.0 34.5 37.9 38.0 38.8 22.7
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003Wadena 13 134 34 20 BCA .0 .0 .0 .0 .0 .0Wadena 13 134 34 21 AAC .0 .0 .0 .0 .0 .0Lincoln 27 109 44 26 BAA .0 .0 .0 .0 .0 .0Brown 28 108 33 27 ABA .0 .0 .0 .0 .0 .0
Kandiyohi 18 122 34 27 CAC .0 .0 .0 .0 .0 .0Meeker 18 120 31 35 DCD .0 .0 .0 .0 .0 .0Olmsted 41 105 14 17 BCC .0 .0 .0 .0 .0 .0Dakota 33 27 23 18 BC .0 .0 .0 .0 .0 .0
Polk 61 150 49 20 BBC .0 .0 .0 .0 .0 .0Douglas 26 127 37 26 DBC .0 .0 .0 .0 .0 .0
Polk 63 150 47 27 AAD .0 .0 .0 .0 .0 .0Polk 63 150 48 16 DDDD 19.0 13.7 26.6 1.8 .0 .0Polk 63 150 48 24 CCAC .0 .0 .0 .0 .0 .0Polk 63 150 47 29 ABD 9.9 5.0 13.8 5.8 .0 6.4Polk 61 147 47 18 DCCC .0 .0 .0 .0 .0 .0Polk 61 147 47 18 CDDD .0 .0 .0 .0 .0 .0Polk 63 150 46 25 DDB .0 .0 .0 .0 .0 .0Polk 63 150 48 21 DADB .0 .0 .0 1.3 .0 .0Polk 63 150 48 16 BBCC .0 .0 .0 .0 .0 .0Polk 63 150 45 8 ABDA .0 .0 .0 .0 .0 .0Polk 63 150 45 8 BDACPolk 63 150 45 4 BCDC .0 .0 .0 .0 .0 .0
Wilkin 57 133 47 28 DBBC .0 .0 .0 .0 .0 .0Wilkin 56 132 47 11 ACD .0 .0 .0 .0 .0 .0
Red Lake 63 150 44 30 CAA .0 .0 .0 .0 .0 .0Polk 61 147 46 20 CAAB .0 .0 .0 .0 .0 .0Polk 61 148 49 23 BBDC 208894 5282065 .0 .0 .0 .0 .0 .0Polk 61 148 48 30 BDD .0 .0 .0 .0 .0 .0Polk 61 149 49 26 C .0 .0 .0 .0 .0 .0
Marshall 68 156 47 19 CBB .0 .0 .0 .0 .0 .0Polk 61 149 49 36 CCC 21.6 9.6 29.0 6.9 2.9 .0Polk 61 147 49 26 DD .0 .0 .0 .0 .0 .0
Hubbard 12 141 34 31 ACD .0 .0 .0 .0 .0 .0Beltrami 62 152 30 31 BDD .0 .0 .0 .0 .0 .0Wadena 12 134 34 25 BDC .0 .0 .0 .0 .0 .0Morrison 14 132 31 24 BCB 1.1 .9 1.4 .8 .3 .5Wadena 13 134 33 18 CCA .0 .0 .0 .0 .0 7.8Wadena 13 134 34 3 DCB 11.8 12.7 9.5 7.7 7.2 9.9
Sherburne 17 35 29 17 CDD 35.2 38.9 40.9 20.6 7.8 16.4Sherburne 17 35 29 17 CDD .0 .0 .0 20.6 7.8 16.4
Brown 29 110 31 20 BAA .0 .0 .0 .0 .0 .0Rice 39 109 20 9 DBC .0 .0 .0 .0 .0 .2
Houston 42 104 4 6 BDB .0 1.5 1.5 1.8 .0 1.4Clay 60 142 45 15 ADA .0 .0 .0 .0 .0 .0
Wilkin 56 132 46 18 BBD 0 0 0 0 0 0Wilkin 56 132 46 18 BBD .0 .0 .0 .0 .0 .0Polk 63 150 47 28 DADA .0 .0 .0 .0 .0 .0Polk 61 148 49 36 CAC 13.2 12.0 34.0 19.6 .0 .0Polk 63 150 49 1 BAA .0 .0 .0 .0 .0 .0Polk 67 150 48 5 BBD .0 .0 .0 .0 .0 .0
Marshall 67 154 50 7 AACA .0 .0 .0 .0 .0 .0Stearns 16 124 33 13 BADB 361531 5046142 6.1 8.3 7.6 3.7 2.8 5.6
Le Sueur 33 111 24 33 CAA .0 .0 .0 .0 .0 .0Le Sueur 33 110 24 5 BCA .0 .0 .0 .0 .0 .1Le Sueur 33 110 24 5 CAD .0 .0 .0 .0 .0 .0Le Sueur 33 110 24 5 CBC .0 .0 .0 .0 .0 .0Le Sueur 33 111 24 32 DBB .0 .0 .0 .0 .0 .0
Rice 39 110 21 35 BCC .0 .0 .0 .0 .0 .0Polk 61 149 49 22 DD .0 .0 .0 .0 .0 .0Polk 63 150 47 30 ACB .0 .0 .0 .0 .0 .0Pope 18 124 36 6 ADC .0 .0 .0 .0 .0 19.5Polk 67 154 50 7 CDAC .8 .0 10.3 .0 6.5 .0Polk 63 150 48 17 ACC .0 .0 .0 .0 .0 .0Polk 63 150 47 29 BDA .0 .0 .0 .0 .0 .0Polk 63 150 47 29 BBC .0 .0 .0 .0 .0 .0Polk 63 150 48 27 BAA .0 .0 .0 .0 .0 .0Polk 63 150 48 27 BBB .0 .0 .0 .0 .0 .0Polk 63 150 48 27 CBA .0 .0 .0 .0 .0 .0Polk 61 147 49 12 BDAB .0 .0 .0 .0 .0 .0
Wadena 13 134 34 33 BAB 14.4 14.8 1.7 9.2 10.2 19.7Polk 61 149 49 35 ACB .0 .0 .0 .0 .0 .0
Otter Tail 56 137 39 19 BAB .0 .0 .0 .0 .0 .0Marshall 68 156 49 1 BDD .0 .0 .0 .0 .0 .0Kittson 70 160 46 17 AB .0 .0 .0 .0 .0 .0Kittson 70 160 46 8 BDAA 23.0 25.0 29.0 11.0 12.5 20.1
Otter Tail 56 134 43 10 CCB .0 .0 .0 .0 .0 .0Todd 14 133 32 32 DBC .0 .0 .0 .0 .0 .0Todd 14 133 32 33 CDD .0 .0 .0 .0 .0 .0
Kittson 69 160 48 27 DCA .0 .0 .0 .0 .0 .0Polk 67 152 50 15 ABB .0 .0 .0 .0 .0 .0
Otter Tail 56 134 43 10 DCB .0 .0 .0 .0 .0 .0Marshall 69 158 47 27 BBC .0 .0 .0 .0 .0 .0Carlton 5 47 17 20 BCC .0 .0 .0 .0 .0 .0
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003Wadena 13 134 34 20 BCAKanabec 36 40 24 35 DADB .0 .0 .0 .0 .0 .0Wadena 13 134 34 19 BAB .0 .0 .0 .0 .0 .0
Polk 63 151 49 17 CAC .0 .0 .0 .0 .0 .0Otter Tail 56 136 40 21 DCC 1.9 3.7 2.0 3.1 2.1 1.9
Polk 63 151 49 27 CCB .0 .0 .0 .0 .0 .0Otter Tail 56 136 39 18 BCD .0 .0 .0 .0 .0 .0
Wilkin 57 136 47 22 BCC .0 .0 .0 .0 .0 .0Wadena 13 134 35 12 ABC 11.2 15.9 9.7 5.7 7.6 10.9Wadena 13 134 35 12 CCA 15.8 25.5 11.9 8.1 8.3 14.8Benton 17 36 30 26 ABDC 419243 5048434 30.4 44.2 35.7 25.9 15.5 28.6
Todd 14 131 34 21 CCD .0 .0 .0 .0 .0 .0Otter Tail 13 135 36 28 AAB 3.5 3.5 3.0 .0 3.0 3.5
Polk 61 147 44 20 CBDC 18.4 20.9 22.8 17.9 18.7 10.8Otter Tail 56 133 39 22 ACA .0 .0 .0 .0 .0 .0
Lake of the Woods 78 158 31 19 BBDPolk 63 151 49 28 AA .0 .0 .0 .0 .0 .0
Otter Tail 13 133 37 12 DCBC .0 .0 .0 .0 .0 .0Pope 26 124 36 19 ACD .0 .0 .0 .0 .0 .0
Stearns 17 122 28 13 ACB .0 .0 .0 .0 .0 .0Wadena 13 134 34 11 BCA 11.0 12.2 11.8 8.4 8.0 11.2
Isanti 21 37 23 31 CDA .0 .0 .0 .0 .0 .0Wright 18 119 25 33 BAC 5.3 6.0 .0 6.4 .9 .0Stearns 16 125 32 31 BBDD 362500 5050786 11.7 6.5 14.4 10.5 2.5 9.2Stearns 16 125 32 30 CDCD 4.8 .0 14.4 .0 .2 29.7
Morrison 15 127 31 2 DCA 3.3 2.5 2.0 .7 .0 .0Wadena 13 134 34 31 BBB 12.7 14.1 12.3 7.1 6.3 8.0Stearns 17 122 28 24 BCD .0 .0 .0 .0 .0 .0Martin 30 103 33 11 DDB .0 .0 .0 .0 .0 20.4
Douglas 14 127 37 27 DDBD 320640 5071590 12.7 20.7 27.6 8.7 5.3 15.9Polk 63 150 49 1 BAA .0 .0 8.6 .0 .0 .0
Otter Tail 56 136 40 13 BAC 3.0 7.7 9.7 9.3 9.4 8.0Benton 17 36 30 23 AAC .0 .0 .0 .0 .0 .0Isanti 21 34 22 6 AB .0 .0 .0 .0 .0 .0
Morrison 15 128 29 7 CAC 12.6 13.4 13.4 13.7 12.9 9.4Stearns 16 125 33 1 ACDD .0 .0 .0 .0 .0 .0Stearns 16 125 33 1 DDDA 362233 5057742 11.4 13.3 13.9 8.2 4.9 6.3Stearns 16 124 33 1 ACA 14.7 8.4 5.3 5.9 12.6 16.8
Swift 26 120 41 16 CCC 12.0 9.0 16.7 12.0 10.5 21.8Wabasha 40 109 9 17 BBC
Anoka 21 33 23 29 A .0 .0 21.2 2.2 12.1 20.9Pope 18 124 36 9 CDB 6.5 3.3 7.6 7.1 3.8 3.2
Otter Tail 13 133 37 13 DAAB 12.2 5.4 8.1 3.5 5.9 8.2Wadena 13 134 34 7 BDC 10.5 13.2 10.7 7.3 5.9 6.6Chisago 37 35 20 17 BCC 0 0 0 0 0 0Chisago 37 35 20 17 BCC .0 .0 .0 .0 .0 .0
Todd 14 133 32 34 ABBA 368791 5128384 50.8 .3 5.4 17.3 2.5 8.5Renville 28 112 33 28 DDC 5.4 5.9 5.5 3.0 2.2 7.6
Pope 26 125 37 35 ADC .0 .0 .0 .0 .0 .0Stearns 16 124 33 1 DAA .0 .0 .0 .0 4.0 4.9Wadena 13 134 34 22 BBBB 13.8 15.3 11.8 6.9 6.9 14.0Wadena 13 134 34 21 ABD 10.8 7.0 17.1 11.3 11.5 11.4Wadena 13 134 34 17 AA 28.7 31.2 50.3 21.8 19.4 38.2Wadena 12 134 34 25 BDC 10.1 8.7 4.8 9.8 8.8 4.4St Louis 3 50 14 34 BAAC 568525 5180760 .0 .0 .0 .3 .8 4.5Wadena 13 134 34 1 CABD 352618 5145486 6.8 19.3 13.5 7.7 6.0 3.2Wadena 12 137 34 28 BAC 9.6 11.3 5.3 3.6 7.2 .0Carver 33 114 24 3 DAA .0 .0 .0 .0 .0 .0
Stevens 55 126 43 33 BDB .0 .0 .0 .0 1.0 .8Douglas 26 130 38 9 BCD .0 .0 .0 .0 .0 .0
Todd 14 133 32 33 CDD .0 .0 .0 .0 .0 .0Benton 15 38 32 10 BDDB 397731 5072891 26.5 4.0 9.5 8.7 8.0 5.7Wadena 13 134 33 9 DABC .0 3.9 2.2 2.2 .0 1.4
Blue Earth 32 108 25 1 BCC .0 .0 .0 .0 .0 .0Goodhue 41 110 17 28 CDDWadena 13 134 35 4 CBD .0 .0 .0 .0 .0 .0
Itasca 9 54 24 20 ADAA .0 11.4 7.3 1.8 .0 .0Carver 33 114 24 12 DBA .0 .0 .0 .0 .0 .0Kittson 70 160 46 17 DAA 41.0 53.0 44.0 31.0 .0 .0Pope 18 124 36 9 AC .0 .0 .0 .0 .0 .0
Dakota 38 27 22 5 CA .0 .0 .0 .0 .0 .0Morrison 15 40 31 19 BBD 5.0 5.3 5.4 3.8 1.0 .0Wadena 13 134 34 22 CDA 2.2 3.5 1.2 .3 .0 .0Otter Tail 56 136 40 12 CBC 6.3 9.8 5.1 5.0 .0 .0Wadena 13 134 34 8 DBAA 33.1 34.2 26.8 19.9 .0 .0Morrison 15 127 29 21 ABCA 9.5 8.9 7.7 8.8 .0 .0
Todd 13 133 35 33 BDC 16.0 14.2 13.8 15.9 .0 .0Winona 43 105 7 20 AA .0 .0 .3 .0 .0 .0Wadena 13 134 34 21 DBC 12.4 10.1 10.4 9.5 9.5 .0
Itasca 7 54 25 21 ABDC 460599 5221931 2.0 2.4 .0 .0 .0 .0Stearns 16 126 32 21 DCDA 366743 5062397 5.5 10.8 4.5 .0 .0 .0
Otter Tail 56 136 40 27 AAC 2.0 3.2 .0 .0 .0 .0Todd 14 133 32 34 BABD 368423 5128289 10.0 3.8 .0 .0 .0 .0
County Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003Douglas 26 128 40 2 DDB .0 .0 .0 .0 .0 .0Douglas 26 128 40 2 DDD .0 .0 .0 .0 .0 .0Wadena 13 134 34 9 BC 13.8 18.6 .0 .0 .0 .0
Todd 14 132 33 14 ADCB 361485 5123066 3.8 6.7 .0 .0 .0 .0Otter Tail 56 135 39 33 ADBA 300569 5149062 20.0 .0 .0 .0 .0 .0
Todd 16 127 33 12 ABBC 361983 5076723 7.2 12.2 .0 .0 .0 .0Otter Tail 56 136 41 28 ADAA 281951 5161011 4.0 .0 .0 .0 .0 .0Otter Tail 56 136 41 22 CCBB 282117 5161835 .0 .0 .0 .0 .0 .0Otter Tail 56 134 40 22 CCAB 291253 5142230 1.4 .0 .0 .0 .0 .0Morrison 10 128 31 14 CCBA 379493 5083443 .0 .0 .0 .0 .0 .0Morrison 10 128 31 13 AADD 382507 5084204 .0 .0 .0 .0 .0 .0Stearns 16 126 34 35 AADC 350909 5060715 11.3 .0 .0 .0 .0 .0Wright 18 121 25 25 DDCA 439665 5011474 .0 .0 .0 .0 .0 .0
Otter Tail 56 136 40 27 DACD 292798 5159878 7.8 .0 .0 .0 .0 .0Wadena 12 134 33 20 BBBC 355300 5141410 1.8 .0 .0 .0 .0 .0Morrison 10 128 30 19 CBBA 382719 5082107 2.7 .0 .0 .0 .0 .0Kittson 70 160 46 17 DDDD 234509 5397527 13.0 .0 .0 .0 .0 .0Stearns 16 123 31 8 DACC 375536 5036867 .0 .0 .0 .0 .0 .0
Watonwan 31 107 31 29 ACAD 373850 4878164 .0 .0 .0 .0 .0 .0Watonwan 31 107 31 28 ABAC 375290 4878538 4.6 .0 .0 .0 .0 .0Otter Tail 56 136 40 11 ABBC 294161 5165718 3.7 .0 .0 .0 .0 .0Sherburne 17 34 30 23 BCCD 418185 5030350 .4 .0 .0 .0 .0 .0
Stearns 16 124 30 13 BDAB 361512 5045948 12.5 .0 .0 .0 .0 .0Sherburne 17 33 28 1 CDDD 439820 5024650 1.2 .0 .0 .0 .0 .0Sherburne 17 35 28 33 ACAD 435407 5036792 .2 .0 .0 .0 .0 .0Sherburne 17 35 28 28 ABBD 435288 5038798 .0 .0 .0 .0 .0 .0Sherburne 17 35 28 21 DADD 435901 5039437 .0 .0 .0 .0 .0 .0
Itasca 9 54 23 27 ACDD 481615 5219778 .0 .0 .0 .0 .0 .0Todd 14 131 34 17 CCAA 345867 5112992 .0 .0 .0 .0 .0 .0Cass 12 134 32 20 DCAA 365993 5140083 .0 .0 .0 .0 .0 .0
Otter Tail 56 136 40 12 CDDC 295473 5164225Stevens 23 124 42 26 ABDB 273664 5045416Stevens 23 124 42 13 AACB 275533 5048589Stevens 23 124 42 13 AACD 275629 5048526Wadena 13 134 34 27 AACC 349991 5139731
Pope 26 125 37 26 BCCB 320341 5053144Pope 26 126 38 9 DADC 309268 5067429
Stevens 23 123 43 1 BCDD 264787 5042094Stevens 23 124 42 25 BABA 274693 5045589
use_2002 use_2001 use_2000 use_1999 use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_1988
.4 .4 .3 .4 .9 .5 .0 .4 .4 .3 .7 .5 .4 1.1 1.8
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 8.1 5.8 9.4 3.6 8.0 2.9 6.0 3.4 4.6 5.3 24.7
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .3
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.9 .5
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .09.2 .0 5.4 11.7 15.6 .0 .0 3.9 11.7 31.9 39.1 64.7 34.7 29.7 31.2
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 3.6 4.0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 1.1
.0 .0 .0 .0 .0 .0 .3 .2 .3 .1 1.1 1.1 .9 4.0 3.4
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 4.1 12.4
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .012.3 .0 .0 3.8 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 40.3
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 10.8
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 1.7 .1
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 5.6
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
2.3 6.2 9.1 6.4 6.3 5.0 6.7 6.0 6.2 .6 7.6 5.9 9.9 16.4 21.5.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 1.0 .70 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 6.5 .0 15.0 30.0 39.0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 1.0 1.3 1.3
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .03.3 2.3 2.3 2.9 2.3 .5 2.8 2.5 1.2 .0 .0 .0 .4 5.9 2.79.6 8.6 5.6 4.3 4.8 5.7 8.5 7.6 4.9 .0 3.3 7.7 6.6 5.9 4.3
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 2.1 .0 1.8 2.2 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .9 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .5
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.2 2.3
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 6.2 13.9
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
8.5 14.4 15.5 13.9 22.0 8.7 12.5 1.5 5.9 .0 5.0 4.4 8.8 38.1 23.1.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 4.2 10.5
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 1.0 21.5 43.7
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.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 2.9 .0 0.0 7.7
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
use_2002 use_2001 use_2000 use_1999 use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_1988.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 18.0 2.8
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 11.6 9.3 4.0 12.1 8.1 11.8 8.1 9.6 3.5 12.4 12.8 12.1 0.0 44.6
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
10.8 .0 10.8 10.8 14.4 10.8 10.8 .0 7.3 .0 .0 15.6 7.4 22.8 22.7
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 10.0 .7 .0 .0 .0 .1 .7 1.0 .0 .4 .0 .2 3.9 5.4
.0 9.9 1.8 .0 .0 .0 11.2 8.9 4.5 .0 .0 11.1 4.7 25.5 50.82.2 2.3 .0 .0 2.1 .0 .0 .0 .0 .0 3.0 .0 .0 0.0 .0.0 .0 .0 .0 .1 .1 .1 .3 .3 .2 .6 .9 .7 1.2 1.5
.0 .0 .0 .0 6.6 .0 5.5 .0 .0 .0 .0 .0 .0 8.7 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 12.7 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.2 .2
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .2 .0 .0 .0 .0 .0 .0 .0 2.3 11.5 7.5
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 7.2
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 3.1 5.5 12.0 12.0 10.57.2 12.2 7.7 8.3 11.4 5.4 12.7 9.9 9.7 3.1 6.8 4.4 9.3 13.1 5.9.0 .0 .0 .0 2.0 6.2 .0 2.6 .0 .0 4.3 4.5 5.9 9.2 4.2.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
11.0 5.8 10.2 12.0 11.6 6.2 10.9 11.3 7.1 .0 9.4 11.8 7.8 13.4 16.2
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 2.4 6.9
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 6.8 17.5
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.7 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 2.4
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 50.8 10.5 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .01.8 1.8 1.7 1.3 1.9 1.8 1.8 1.7 1.9 .3 3.0 1.6 1.8 1.9 1.6.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 3.8 5.4.0 .0 .0 .0 .0 .0 5.0 .0 2.3 .0 9.2 4.3 5.4 9.5 28.0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.3 .4
.0 .0 48.1 .0 .0 .0 .0 .0 .0 .0 31.9 7.8 26.1 41.1 44.811.0 16.5 15.2 5.6 15.7 8.7 12.7 2.9 .0 6.2 8.2 9.4 6.5 16.4 25.5
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 1.1 3.6
8.4 14.0 11.6 9.8 12.6 9.1 11.9 8.9 11.4 2.2 8.5 15.9 13.3 10.5 16.6
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.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 6.1 .6
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.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .04.5 8.9 3.2 4.0 9.0 9.7 7.8 8.2 .0 .0 11.7 .0 3.6 13.7 9.4
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.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 12.1 10.6
use_2002 use_2001 use_2000 use_1999 use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_1988.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 2.9 2.2 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 6.5.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 26.0 .0 .0 .0 .0 0.0 .0
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4.1 2.6 4.7 .8 4.0 1.4 6.7 6.7 3.5 .0 2.2 4.3 3.3 7.0 8.8.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 45.7 55.5.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
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.0 .0 .0 .0 1.0 .0 3.5 .0 .0 .0 .0 .0 2.4 6.7 11.9
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.0 .0 .0 .0 .0 .0 .0 13.0 11.9 2.2 8.4 2.8 .0 4.9 13.9
.0 .0 10.2 .0 9.4 .0 15.2 .0 .0 .0 9.4 3.5 .0 15.2 9.4
.0 2.9 2.7 2.2 2.0 2.3 6.0 4.3 1.2 .0 7.5 .0 3.7 12.0 8.9
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.0 17.3 13.0 .0 8.6 5.2 3.9 5.2 2.6 .0 7.8 6.5 .0 9.8 9.5
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.9 .9 2.7 .2 .4 1.5 3.2 3.5 1.5 .5 2.7 .0 .3 2.5 3.1
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.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
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.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 1.1 0.5 2.7
.0 .0 .0 .0 .0 .0 .6 .0 .0 .0 .0 .0 .0 4.9 7.7
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 3.2 6.21.4 1.2 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 4.0 2.4 2.0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 1.7.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 6.5
.0 .0 .0 3.6 .0 .0 6.5 4.0 2.9 .0 .0 .0 .0 0.0 .01.0 3.0 2.8 2.2 3.3 1.6 4.1 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 3.8.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.6 1.5 1.3 1.2 1.7 .1 1.6 .1 .8 .0 1.6 1.2 2.0 2.0 3.0
.0 .7 .8 1.3 .0 .0 .1 81.5 .0 .0 .4 .2 1.4 0.0 .0
.5 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .08.8 7.5 10.8 5.6 3.0 4.2 7.7 3.6 9.3 1.7 3.9 7.8 4.0 3.2 4.3.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 4.3 6.4 7.0 4.3 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 2.7 5.85.8 3.8 6.1 .0 6.2 3.8 8.9 3.1 6.1 .0 5.5 5.7 15.5 13.5 9.4.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 2.5 .0
7.1 2.4 7.4 1.2 1.9 .1 7.6 4.8 5.8 1.7 4.6 7.8 8.8 111.5 8.7
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .04.4 .0 5.9 5.3 6.3 9.8 4.8 9.7 .0 4.0 8.7 5.5 2.3 0.0 59.3.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 7.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 16.7.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
7.2 9.6 1.4 .6 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 6.3.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 2.7.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 7.7
5.9 8.0 7.1 9.2 .0 1.2 7.3 6.8 6.2 .0 2.9 3.4 1.0 7.2 8.7.0 .0 .0 .0 .0 .0 1.5 .0 1.0 .5 .0 1.0 .5 0.0 3.8.0 .0 .0 2.5 .0 .0 3.1 .0 2.1 1.0 .0 .6 1.3 0.0 .0.0 .0 .0 .0 .0 .0 .0 .7 3.3 .0 .5 .0 .0 3.9 3.3.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.8 .9
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .1
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .02.3 8.0 7.7 8.6 12.0 6.5 15.1 15.1 10.8 .0 7.2 9.4 12.0 24.0 17.3.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 3.9 13.1.0 3.6 .0 .0 .0 .0 11.5 .0 .0 .0 2.3 .0 4.5 6.9 8.4.0 4.3 5.2 4.3 2.2 2.2 2.3 1.7 1.2 .0 3.5 .0 .0 0.0 16.0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 4.9
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 1.7 3.711.7 14.2 14.7 13.7 10.0 10.2 14.5 6.6 10.0 .0 4.4 7.0 6.1 7.7 17.4
.1 .1 .1 .0 .2 .1 .1 .2 .0 .2 .2 .2 .2 0.2 .5
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 1.712.2 10.1 14.1 7.4 10.6 8.1 22.5 10.7 12.0 .0 8.9 8.5 5.4 2.4 8.1
.0 .0 .0 .0 .0 .0 .0 .1 .0 .0 .0 .2 .0 0.5 1.7
.0 3.5 .0 .0 .0 .0 1.9 1.7 1.2 1.6 3.2 2.4 9.9 14.3 16.9
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 3.0 3.1 .0 0.0 .02.0 6.5 5.0 5.5 5.2 3.3 6.6 3.0 3.0 4.5 5.9 6.0 4.8 0.0 3.8.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 12.4 13.2
use_2002 use_2001 use_2000 use_1999 use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_1988.0 .0 .0 .0 .0 1.9 3.8 3.8 .0 .0 4.1 4.5 11.8 34.7 22.5.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 5.4 23.7.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 2.4 .0 .0 5.5 3.2 10.9 1.2 .0 .0 .0 .0 4.8 12.4 14.4.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.3 .3 .3 .1 .3 .4 .4 .4 .4 .4 .7 1.2 1.2 1.5 1.1.1 .4 .4 .3 .4 .4 .4 .4 .2 .1 .1 .8 .7 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 11.9 .0 13.0 .0 12.9 12.9 .0
4.9 4.5 3.0 1.6 2.6 2.8 2.6 2.5 1.8 1.7 1.4 .4 .6 1.4 .6.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.2 .7.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 3.2.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 7.6.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .3.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 18.0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 2.7 .0
1.9 8.0 7.3 6.2 .8 4.0 6.0 3.6 3.7 1.5 3.2 4.8 5.4 4.7 2.5.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .1.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
4.9 14.9 8.0 5.4 7.3 6.9 12.6 9.2 6.9 2.2 8.6 .0 .0 0.0 .0.0 1.1 .0 .0 .0 .0 .8 .5 .0 .0 .0 .0 .0 2.4 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 2.0 1.5.0 .0 .0 .0 3.0 .0 2.1 .0 .0 .0 1.5 .0 .4 1.7 .0.0 .0 .0 .0 .0 .0 1.4 .7 .0 .0 .0 .0 .0 2.1 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 2.9 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .2 0.2 .5.0 .0 .0 7.4 9.0 6.6 6.0 8.1 1.4 1.1 3.6 2.3 .0 0.0 .0
2.9 4.2 14.0 14.3 11.0 9.2 18.9 9.9 9.0 4.8 16.0 23.8 9.4 23.5 .0.0 .0 .0 6.7 5.2 .4 4.2 1.6 3.6 2.8 5.6 2.8 .0 0.0 .0
6.8 4.7 9.9 3.6 10.8 5.2 18.2 12.7 11.6 .0 17.8 15.2 17.0 17.6 .0.0 .0 3.4 5.5 9.7 2.9 2.7 1.3 4.8 4.8 2.1 22.0 18.2 0.0 .0.0 .0 .0 .0 12.0 5.7 5.2 8.4 3.2 4.3 4.2 25.3 25.8 0.0 .0.0 .0 4.1 .0 4.3 2.6 4.5 1.4 1.9 3.5 .0 .0 14.1 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
2.1 7.0 4.0 5.1 4.9 1.4 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 6.2 5.8 12.6 .0.0 .0 .0 .0 .0 5.5 9.0 .0 8.5 1.4 10.3 1.1 4.3 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 4.7 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 1.4 1.7 .0.0 .0 .0 .0 .0 .0 .0 .0 11.9 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 3.1 2.3 .0 .0 3.4 3.9 0.0 .0
2.9 7.2 2.2 1.4 5.8 .0 8.4 .0 4.8 .0 3.8 2.9 4.8 0.0 .029.3 13.4 7.3 12.4 16.1 5.2 19.2 18.7 9.2 7.7 23.3 23.3 30.2 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 1.214.4 15.4 17.9 9.5 16.2 16.1 14.0 10.7 21.6 3.6 10.8 16.3 10.7 17.1 20.3
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 1.4
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 10.1 2.9 .0 1.4 5.8 9.2 .0 0.0 .02.6 4.6 1.9 8.6 5.4 3.1 10.4 7.7 5.6 5.2 6.6 6.4 9.2 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 8.1 4.3.0 .6 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
2.7 5.3 .0 .0 8.1 2.1 9.3 4.1 4.2 1.4 1.7 6.7 3.7 0.0 .0.0 .0 .0 .0 .0 .0 .0 1.4 .0 .0 .0 2.5 8.3 0.0 .0.0 .0 .0 .0 .0 .0 3.9 3.3 .0 .0 1.1 3.4 4.1 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 1.2 .0 .0 .0 1.2 .6 .7 1.2 .0.0 .0 .0 .0 .0 .0 1.3 .0 .0 .0 1.2 .6 .8 1.2 .0.0 .3 .4 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 2.1 1.3 .0
3.9 7.4 8.7 .0 .0 .0 6.4 .0 .0 .0 5.0 .0 .0 10.2 .0.0 .0 .4 .0 .8 .8 .9 .9 .4 .4 .5 .7 .5 0.0 .0
4.3 5.8 4.5 .0 6.7 6.9 2.6 .0 .0 .0 2.5 .0 .0 34.8 .0.0 .0 .0 .0 .0 .0 16.8 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 13.9 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .4 .4 .4 .0 .0 .0 2.2 .0 .0 0.0 .0.0 3.5 2.7 9.8 6.5 6.5 6.5 .0 .4 .0 .0 5.0 .0 0.0 .0.0 3.5 4.3 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 5.4 9.8 2.2 2.2 2.2 .0 .0 .0 .0 2.5 .0 0.0 .0
4.1 4.4 6.8 .0 8.6 .0 .0 .0 .0 .0 1.4 .0 .0 0.0 .0
.0 2.7 2.3 1.9 1.1 .8 1.5 1.5 .0 .0 1.1 .4 1.4 0.0 .05.7 14.4 10.4 6.1 13.0 4.4 11.7 7.9 7.3 2.2 9.5 8.3 16.7 17.3 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
3.0 20.0 21.0 20.0 20.0 16.0 21.0 16.0 18.0 9.0 17.4 14.4 7.4 16.7 .0
use_2002 use_2001 use_2000 use_1999 use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_1988.0 3.7 2.0 .5 2.1 .0 5.4 1.0 2.8 1.3 1.4 .0 1.0 0.0 .0.0 8.0 4.5 .0 6.5 2.7 7.6 .0 .0 .0 1.7 .0 .0 0.0 .0.0 35.2 46.4 .0 32.4 9.9 29.0 .0 .0 .0 9.8 .0 .0 23.3 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 3.8 .0.0 6.9 11.0 .0 3.1 1.9 4.4 .0 .0 .0 .0 .0 .0 3.8 .0.0 .0 .0 .0 .0 .0 5.9 .0 .0 .0 .0 .0 .0 1.4 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 1.7 .0 .0 .0 1.7 .0 .0 .0 .0 .0 .0 2.0 .0.6 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 2.6 .0
2.3 6.5 3.2 3.2 3.2 3.2 6.7 1.7 1.6 1.9 5.0 3.2 3.3 9.7 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 3.3 6.4 .0 .0 15.7 .0
8.2 12.7 9.2 9.2 8.1 10.4 12.3 .0 6.0 3.3 .0 22.5 12.0 0.0 .02.9 8.0 3.2 4.0 6.3 11.1 10.0 5.7 5.7 1.8 5.5 4.8 3.8 24.4 .02.7 9.4 9.6 13.1 9.2 .0 15.1 6.7 7.0 2.3 15.8 10.6 7.5 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .7 0.0 .0.0 2.5 .9 2.2 1.3 1.1 2.5 2.2 2.2 1.9 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
3.0 .0 .0 .0 1.2 1.0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
3.5 3.5 3.5 9.2 4.6 .0 .0 .0 .0 .0 .0 .0 7.1 0.9 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 5.7 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .4 .3 .7 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .7 .9 1.8 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .2 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
4.2 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .04.7 2.3 10.3 .0 4.5 3.5 1.0 .0 .0 .0 2.6 .0 .0 0.0 .0.0 .0 .0 .0 .0 3.3 3.2 3.1 .0 .0 .0 .0 .0 0.0 .0
2.7 7.3 11.2 9.5 3.6 3.7 18.5 7.8 7.6 .1 1.9 1.8 1.8 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 11.1 .0 1.5 20.0 20.2 20.4 0.0 .0
13.6 .0 .0 .0 19.0 .0 7.3 .0 18.0 .0 4.2 21.3 25.6 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 6.8 0.0 .0
4.3 .0 8.7 .0 4.9 .0 13.8 16.7 6.6 .0 .0 7.6 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 14.8 20.0 13.2 13.5 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 6.5 .0 0.0 .00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 2.1 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 8.1 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
16.9 21.5 19.2 9.8 19.2 19.2 22.6 9.1 21.1 .0 6.7 7.7 10.1 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 3.9 4.3 17.2 14.0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
4.7 .0 17.2 .0 12.4 7.4 20.2 25.0 3.5 43.4 49.4 49.3 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 2.4 8.1 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 3.0 .0 25.0 22.2 8.0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .3 .3 .1 .0 .1 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .3 .7 .7 .5 .5 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 21.7 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 3.8 .0 2.3 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 5.2 0.0 .0
16.1 28.4 27.6 26.9 13.0 9.0 28.1 10.5 12.5 6.0 14.9 10.5 .0 6.0 .01.2 4.9 1.1 1.0 .6 .9 2.1 2.1 1.7 1.2 2.5 2.3 7.4 15.3 .0.9 2.5 2.0 2.6 3.8 1.8 2.2 1.5 2.4 1.1 1.8 .8 .7 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .1 0.0 .0
39.6 36.3 29.0 13.7 10.6 18.4 29.4 16.4 12.2 5.4 5.9 13.9 28.0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
12.1 16.0 15.3 6.8 19.2 9.3 10.4 9.3 16.2 2.9 9.3 13.6 .0 0.0 .03.2 .0 4.1 .0 9.0 .0 4.1 .0 5.1 .0 2.8 9.8 8.0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .2 .0 .0 0.0 .0
39.0 38.4 38.0 38.7 12.4 25.9 4.3 19.9 31.8 .0 29.2 18.5 .0 0.0 .0
use_2002 use_2001 use_2000 use_1999 use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_1988.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 20.0 1.0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 4.3 .0 .0 .0 .0 3.3 4.1 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
1.8 1.7 4.1 .0 11.0 .6 17.9 11.6 .0 25.0 25.1 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 9.6 .0 .0 41.3 .0 0.0 .0
3.4 .0 13.6 .0 15.0 .1 7.1 2.4 2.8 16.0 40.7 40.8 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 8.1 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 4.1 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 6.0 7.6 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 3.3 .0 .0 5.4 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 6.9 8.8 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .4 .0 .0 .0 .6 2.8 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 1.0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 2.8 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 2.5 .0 0.0 .0
.0 .0 .0 .4 5.5 2.3 21.0 5.0 10.0 8.0 9.0 15.8 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 3.0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .1 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .7 3.1 .0 0.0 .0
.7 .6 .8 .8 1.1 1.1 1.0 .6 .6 .5 .8 .4 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .06.6 7.1 7.9 5.0 4.8 5.3 7.9 6.5 6.5 .0 7.1 6.5 .0 0.0 .015.3 19.6 6.6 14.0 22.2 9.0 22.2 35.9 31.9 .0 13.9 31.9 .0 0.0 .0
.0 19.6 6.6 9.3 10.1 9.6 10.1 .0 .0 12.0 13.9 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .4 1.0 2.5 .0 .0 0.0 .0
.0 .0 .2 .0 .0 .0 .0 .0 .2 .0 .4 .5 .0 0.0 .0
.9 .0 .9 .0 .0 .7 .9 .7 .0 .0 .8 .8 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 1.3 .0 .0 0.0 .0.0 .0 .0 .4 6.7 2.9 12.0 7.0 1.0 10.0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 11.6 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 10.0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 2.7 1.8 .6 1.7 .0 .0 0.0 .0
1.5 7.5 6.5 6.4 3.6 .0 6.0 5.0 4.7 .0 4.1 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .2 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .1 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
9.5 20.8 14.1 16.9 12.2 6.0 15.8 7.7 12.0 5.5 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 2.1 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 1.2 .0 2.3 2.6 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 2.0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 2.5 .0 .0 .0 0.0 .0
11.2 17.9 38.2 10.2 11.0 14.6 9.9 8.2 8.1 1.1 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 2.9 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .2 1.8 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 5.2 7.3 .0 .0 .0 .0 0.0 .0
10.4 .0 11.0 9.6 10.1 .0 .0 1.4 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 13.8 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 9.9 6.1 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
use_2002 use_2001 use_2000 use_1999 use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_1988
.0 .6 1.7 1.0 1.7 .9 .8 2.2 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 4.9 .0 .0 5.3 .0 .0 .0 .0 .0 .0 0.0 .01.9 2.0 1.5 .2 1.8 1.9 1.9 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 25.7 26.9 .0 .0 .0 .0 .0 .0 0.0 .0
7.8 21.3 5.9 5.4 .6 1.0 4.2 .0 .0 .0 .0 .0 .0 0.0 .09.7 4.6 4.9 2.9 9.6 .6 2.6 .0 .0 .0 .0 .0 .0 0.0 .013.0 39.5 17.1 18.4 24.4 15.6 36.8 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 4.2 4.2 .0 .0 .0 .0 .0 .0 0.0 .02.1 2.1 .0 .0 3.6 3.3 3.5 .0 .0 .0 .0 .0 .0 0.0 .010.8 19.1 7.4 13.0 10.7 6.1 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 2.6 3.7 1.3 3.8 1.9 .0 .0 .0 .0 .0 .0 .0 0.0 .01.8 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
7.2 10.0 10.8 10.8 6.6 7.9 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .8 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 3.5 .0 5.7 .0 4.3 .0 .0 .0 .0 .0 .0 .0 0.0 .0.9 6.4 6.8 12.5 1.1 2.0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 33.3 15.1 33.3 11.7 .9 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .1 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
3.5 9.2 4.4 4.5 9.2 7.6 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 1.0 .0 1.0 2.7 .0 .0 .0 .0 .0 .0 .0 0.0 .0
20.4 20.4 20.4 20.4 17.5 1.1 .0 .0 .0 .0 .0 .0 .0 0.0 .02.4 21.9 11.6 11.9 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 4.1 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
4.9 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
9.4 9.4 8.5 2.2 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 2.9 .0 1.6 .7 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
2.5 5.9 2.1 5.2 3.1 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .09.6 42.0 3.3 13.3 .0 .0 .0 .0 .0 .0 .0 .0 .0 5.3 .016.3 25.0 16.0 28.6 19.2 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
6.6 41.9 16.2 .8 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .04.1 7.9 4.6 6.5 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .04.2 5.0 7.1 3.4 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .09.0 12.1 4.6 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .05.8 4.6 5.3 .3 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .04.8 7.2 14.0 10.8 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 17.1 9.5 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.7 8.4 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
14.6 11.3 16.9 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .017.3 17.3 27.6 5.9 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .026.7 23.5 26.1 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .09.1 6.9 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .1 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
1.7 2.5 4.3 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .08.7 4.5 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.7 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 5.8 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
2.3 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.4 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .02.2 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
use_2002 use_2001 use_2000 use_1999 use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_1988.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
Appendix E – c. MN DNR Water Quantities from Surface Water for Wild Rice Uses
Permit Installation Permittee Use ID Usename Category Permit Volume (MG)1954-0171 1 GODWARD FARMS 296 Wild Rice Irrigation Major Crop Irrigation 30.01956-0313 1 HEINEMAN, WALTER E 296 Wild Rice Irrigation Major Crop Irrigation 47.41960-0219 1 COTE, ROBERT 296 Wild Rice Irrigation Major Crop Irrigation 13.11961-0776 1 ANDERSON, BERNARD L 296 Wild Rice Irrigation Major Crop Irrigation 161.31964-0162 1 BERGER, RAY E 296 Wild Rice Irrigation Major Crop Irrigation 168.01964-0162 2 BERGER, RAY E 296 Wild Rice Irrigation Major Crop Irrigation 168.01964-0162 3 BERGER, RAY E 296 Wild Rice Irrigation Major Crop Irrigation 168.01967-0238 1 BERGER, RAY E 296 Wild Rice Irrigation Major Crop Irrigation 74.01967-0238 2 BERGER, RAY E 296 Wild Rice Irrigation Major Crop Irrigation 74.01967-0238 3 BERGER, RAY E 296 Wild Rice Irrigation Major Crop Irrigation 74.01967-0239 1 BRINK, RICHARD 296 Wild Rice Irrigation Major Crop Irrigation 23.31967-0239 2 BRINK, RICHARD 296 Wild Rice Irrigation Major Crop Irrigation 23.31967-1063 1 JACOBSON COMPANY 296 Wild Rice Irrigation Major Crop Irrigation 75.01967-1136 1 EISEL, CLAYTON 296 Wild Rice Irrigation Major Crop Irrigation 6.71967-1249 1 LEECH RIVER WILD RICE FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 173.01968-0025 1 LEONHARDT, D & G 296 Wild Rice Irrigation Major Crop Irrigation 138.01968-0025 2 LEONHARDT, D & G 296 Wild Rice Irrigation Major Crop Irrigation 138.01968-0025 3 LEONHARDT, D & G 296 Wild Rice Irrigation Major Crop Irrigation 138.01968-0226 1 DUSOLD GROUP 296 Wild Rice Irrigation Major Crop Irrigation 100.01968-0304 1 HALAMA, VELMER 296 Wild Rice Irrigation Major Crop Irrigation 19.51968-0374 1 GODWARD WILD RICE FARMS 296 Wild Rice Irrigation Major Crop Irrigation 709.01968-0374 2 GODWARD WILD RICE FARMS 296 Wild Rice Irrigation Major Crop Irrigation 709.01968-0374 3 GODWARD WILD RICE FARMS 296 Wild Rice Irrigation Major Crop Irrigation 709.01968-0374 4 GODWARD WILD RICE FARMS 296 Wild Rice Irrigation Major Crop Irrigation 709.01968-0374 5 GODWARD WILD RICE FARMS 296 Wild Rice Irrigation Major Crop Irrigation 709.01968-0374 6 GODWARD WILD RICE FARMS 296 Wild Rice Irrigation Major Crop Irrigation 709.01968-0374 7 GODWARD WILD RICE FARMS 296 Wild Rice Irrigation Major Crop Irrigation 709.01968-0416 1 SONJU & HENDERSON 296 Wild Rice Irrigation Major Crop Irrigation 40.01968-0433 1 GEERDES, JERRY A 296 Wild Rice Irrigation Major Crop Irrigation 71.01968-0433 2 GEERDES, JERRY A 296 Wild Rice Irrigation Major Crop Irrigation 71.01968-0642 1 BURR, HARLAN 296 Wild Rice Irrigation Major Crop Irrigation 40.01968-0748 1 REESE, MIKE 296 Wild Rice Irrigation Major Crop Irrigation 65.51968-0748 2 REESE, MIKE 296 Wild Rice Irrigation Major Crop Irrigation 65.51968-0748 3 REESE, MIKE 296 Wild Rice Irrigation Major Crop Irrigation 65.51968-0849 1 GILBERTSON, STEVEN A 296 Wild Rice Irrigation Major Crop Irrigation 145.01968-0849 2 GILBERTSON, STEVEN A 296 Wild Rice Irrigation Major Crop Irrigation 145.01968-0849 3 GILBERTSON STEVEN A 296 Wild Rice Irrigation Major Crop Irrigation 145.01968-0849 3 GILBERTSON, STEVEN A 296 Wild Rice Irrigation Major Crop Irrigation 145.01968-0881 1 FLORHAUG, JOHN 296 Wild Rice Irrigation Major Crop Irrigation 16.01968-0881 2 FLORHAUG, JOHN 296 Wild Rice Irrigation Major Crop Irrigation 16.01968-1155 1 POTOCNIK, THOMAS J 296 Wild Rice Irrigation Major Crop Irrigation 1.71968-1358 1 CLEARWATER RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 835.01968-1406 1 LEECH LAKE RESERVATION 296 Wild Rice Irrigation Major Crop Irrigation 26.71968-1406 2 LEECH LAKE RESERVATION 296 Wild Rice Irrigation Major Crop Irrigation 26.71968-1412 1 PUETZ, RAYMOND M 296 Wild Rice Irrigation Major Crop Irrigation 60.01968-1432 1 KROENING, GEORGE 296 Wild Rice Irrigation Major Crop Irrigation 26.61968-1491 1 F & S FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 53.01968-1491 2 F & S FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 53.01968-1496 1 BRINK, RICHARD 296 Wild Rice Irrigation Major Crop Irrigation 6.71968-1592 1 BRANDON, DUANE K 296 Wild Rice Irrigation Major Crop Irrigation 6.71968-1603 1 BOWE, MIKE 296 Wild Rice Irrigation Major Crop Irrigation 28.01969-0020 1 RICHARDS, DONALD R 296 Wild Rice Irrigation Major Crop Irrigation 80.01969-0020 2 RICHARDS, DONALD R 296 Wild Rice Irrigation Major Crop Irrigation 80.01969-0035 1 LINDQUIST, WILLIAM A 296 Wild Rice Irrigation Major Crop Irrigation 16.01969-0047 1 LUKO, JOHN W 296 Wild Rice Irrigation Major Crop Irrigation 98.01969-0047 2 LUKO, JOHN W 296 Wild Rice Irrigation Major Crop Irrigation 98.01969-0058 1 K D WILD RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 150.01969-0058 2 K D WILD RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 150.01969-0431 1 FORSTER, RANDY & BILLIE JO 296 Wild Rice Irrigation Major Crop Irrigation 533.01969-0431 2 FORSTER, RANDY & BILLIE JO 296 Wild Rice Irrigation Major Crop Irrigation 533.01969-0752 1 WALTON FARMS 296 Wild Rice Irrigation Major Crop Irrigation 300.01969-0752 2 WALTON FARMS 296 Wild Rice Irrigation Major Crop Irrigation 300.01969-0932 1 STELTER LLC 296 Wild Rice Irrigation Major Crop Irrigation 172.01969-0932 2 STELTER LLC 296 Wild Rice Irrigation Major Crop Irrigation 172.01969-0932 3 STELTER LLC 296 Wild Rice Irrigation Major Crop Irrigation 172.01969-1002 EAST VOYAGEURS WILD RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 575.01969-1002 JD15 VOYAGEURS WILD RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 575.01969-1002 SOUTH VOYAGEURS WILD RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 575.01969-1002 TAMR VOYAGEURS WILD RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 575.01969-1002 WEST VOYAGEURS WILD RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 575.01969-1151 1 WYANT, CLINTON W 296 Wild Rice Irrigation Major Crop Irrigation 4.2
Permit Installation Permittee Use ID Usename Category Permit Volume (MG)1969-1180 1 MOHS, EDWARD 296 Wild Rice Irrigation Major Crop Irrigation 195.51969-1180 2 MOHS, EDWARD 296 Wild Rice Irrigation Major Crop Irrigation 195.51969-1217 1 OLIN, LARRY M 296 Wild Rice Irrigation Major Crop Irrigation 80.01969-1259 1 LEGO BROTHERS 296 Wild Rice Irrigation Major Crop Irrigation 35.01969-1275 1 CLEARWATER RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 160.01969-1351 1 GODWARD WILD RICE FARMS 296 Wild Rice Irrigation Major Crop Irrigation 40.01970-0023 1 BRANDON, DUANE K 296 Wild Rice Irrigation Major Crop Irrigation 29.01970-0023 2 BRANDON, DUANE K 296 Wild Rice Irrigation Major Crop Irrigation 29.01970-0023 3 BRANDON, DUANE K 296 Wild Rice Irrigation Major Crop Irrigation 29.01970-0136 1 BURR, HARLAN 296 Wild Rice Irrigation Major Crop Irrigation 20.01970-0430 1 ORJALA, CARL 296 Wild Rice Irrigation Major Crop Irrigation 60.01970-0430 2 ORJALA, CARL 296 Wild Rice Irrigation Major Crop Irrigation 60.01970-0829 1 REESE, MIKE 296 Wild Rice Irrigation Major Crop Irrigation 129.51970-0829 2 REESE, MIKE 296 Wild Rice Irrigation Major Crop Irrigation 129.51970-0870 1 NORTH STAR ENTERPRISES INC 296 Wild Rice Irrigation Major Crop Irrigation 993.01970-0870 2 NORTH STAR ENTERPRISES INC 296 Wild Rice Irrigation Major Crop Irrigation 993.01970-0870 3 NORTH STAR ENTERPRISES INC 296 Wild Rice Irrigation Major Crop Irrigation 993.01970-0870 B-1 NORTH STAR ENTERPRISES INC 296 Wild Rice Irrigation Major Crop Irrigation 993.01970-0870 B-2 NORTH STAR ENTERPRISES INC 296 Wild Rice Irrigation Major Crop Irrigation 993.01970-0870 B-3 NORTH STAR ENTERPRISES INC 296 Wild Rice Irrigation Major Crop Irrigation 993.01970-0870 B-4 NORTH STAR ENTERPRISES INC 296 Wild Rice Irrigation Major Crop Irrigation 993.01970-0870 B-5 NORTH STAR ENTERPRISES INC 296 Wild Rice Irrigation Major Crop Irrigation 993.01970-0870 JD#2 NORTH STAR ENTERPRISES INC 296 Wild Rice Irrigation Major Crop Irrigation 993.01970-0870 PRIVD NORTH STAR ENTERPRISES INC 296 Wild Rice Irrigation Major Crop Irrigation 993.01970-0870 RUFF NORTH STAR ENTERPRISES INC 296 Wild Rice Irrigation Major Crop Irrigation 993.01970-0943 1 ANDERSON, BERNARD L 296 Wild Rice Irrigation Major Crop Irrigation 16.71970-0943 2 ANDERSON, BERNARD L 296 Wild Rice Irrigation Major Crop Irrigation 16.71970-1066 1 RACER, JOHN E 296 Wild Rice Irrigation Major Crop Irrigation 51.81970-1198 1 HORACHEK BROTHERS 296 Wild Rice Irrigation Major Crop Irrigation 349.01970-1199 1 DEL-LYNN FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 978.01970-1199 2 DEL-LYNN FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 978.01970-1199 3 DEL-LYNN FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 978.01970-1199 4 DEL-LYNN FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 978.01970-1199 5 DEL-LYNN FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 978.01970-1199 6 DEL-LYNN FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 978.01970-1199 7 DEL-LYNN FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 978.01970-1199 8 DEL-LYNN FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 978.01970-1222 1 T P FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 100.01970-1261 1 SUNDRUD, ORDEAN 296 Wild Rice Irrigation Major Crop Irrigation 400.01970-1261 1 SUNDRUD, ORDEAN 296 Wild Rice Irrigation Major Crop Irrigation 400.01970-1268 1 THULIN CREA, RALPH L 296 Wild Rice Irrigation Major Crop Irrigation 3.71970-1271 1 DITTBERNER, RALPH D 296 Wild Rice Irrigation Major Crop Irrigation 16.71971-0052 1 NELSON, CLIFTON 296 Wild Rice Irrigation Major Crop Irrigation 60.01971-0396 1 NORD, WILLYS O 296 Wild Rice Irrigation Major Crop Irrigation 5.01971-0424 1 AUNE, ROY V 296 Wild Rice Irrigation Major Crop Irrigation 16.31971-0441 1 STIMAC, JUANITA 296 Wild Rice Irrigation Major Crop Irrigation 6.71971-0451 1 DANKWART, WILLIAM E 296 Wild Rice Irrigation Major Crop Irrigation 271.41971-0490 1 BILYEU, GLEN D 296 Wild Rice Irrigation Major Crop Irrigation 53.31971-0583 1 MICHAEL AND CHRIS NISTLER 296 Wild Rice Irrigation Major Crop Irrigation 85.01971-0583 2 MICHAEL AND CHRIS NISTLER 296 Wild Rice Irrigation Major Crop Irrigation 85.01971-0659 CLRW CLEARWATER RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 1,312.01971-0659 JD-2 CLEARWATER RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 1,312.01971-0659 RBB7 CLEARWATER RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 1,312.01971-0659 RUFF CLEARWATER RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 1,312.01971-0705 1 BLACK GOLD DEVELOPMENT 296 Wild Rice Irrigation Major Crop Irrigation 250.01971-1008 1 BLUE VALLEY SOD CO 296 Wild Rice Irrigation Major Crop Irrigation 36.01971-1136 1 ROULAND, ROBERT 296 Wild Rice Irrigation Major Crop Irrigation 39.11971-1136 2 ROULAND, ROBERT 296 Wild Rice Irrigation Major Crop Irrigation 39.11971-1209 1 HOWARD, CLARENCE 296 Wild Rice Irrigation Major Crop Irrigation 60.01971-1209 2 HOWARD, CLARENCE 296 Wild Rice Irrigation Major Crop Irrigation 60.01971-1295 1 MOHS, EDWARD 296 Wild Rice Irrigation Major Crop Irrigation 19.51971-1363 1 LINDQUIST, WILLIAM JR 296 Wild Rice Irrigation Major Crop Irrigation 13.01971-1407 1 WYANT, CLINTON W 296 Wild Rice Irrigation Major Crop Irrigation 13.31971-1428 1 BRINK, RICHARD 296 Wild Rice Irrigation Major Crop Irrigation 9.01971-1450 1 ANDERSON, ARCHIE W 296 Wild Rice Irrigation Major Crop Irrigation 3.01971-1466 1 GILBERTSON, STEVEN A 296 Wild Rice Irrigation Major Crop Irrigation 145.01971-1466 2 GILBERTSON, STEVEN A 296 Wild Rice Irrigation Major Crop Irrigation 145.01972-0042 1 GULLY FARMS ENTERPRISES 296 Wild Rice Irrigation Major Crop Irrigation 586.51972-0042 G-1 GULLY FARMS ENTERPRISES 296 Wild Rice Irrigation Major Crop Irrigation 586.51972-0042 G-2 GULLY FARMS ENTERPRISES 296 Wild Rice Irrigation Major Crop Irrigation 586.51972-0042 G-3 GULLY FARMS ENTERPRISES 296 Wild Rice Irrigation Major Crop Irrigation 586.51972-0056 1 SARA BAY COMPANY 296 Wild Rice Irrigation Major Crop Irrigation 10.01972-0059 1 GODWARD WILD RICE FARMS 296 Wild Rice Irrigation Major Crop Irrigation 177.0
Permit Installation Permittee Use ID Usename Category Permit Volume (MG)1972-0059 2 GODWARD WILD RICE FARMS 296 Wild Rice Irrigation Major Crop Irrigation 177.01972-0065 1 CARIBOU CORP 296 Wild Rice Irrigation Major Crop Irrigation 67.01972-0167 1 MOHS, ANTHONY 296 Wild Rice Irrigation Major Crop Irrigation 200.01972-0199 1 BURR, HARLAN 296 Wild Rice Irrigation Major Crop Irrigation 100.01972-0199 2 BURR, HARLAN 296 Wild Rice Irrigation Major Crop Irrigation 100.01972-0224 1 U OF MN 296 Wild Rice Irrigation Major Crop Irrigation 60.01972-0224 2 U OF MN 296 Wild Rice Irrigation Major Crop Irrigation 60.01972-0224 CREEK U OF MN 296 Wild Rice Irrigation Major Crop Irrigation 60.01972-0337 1 LAKE, WILLIAM F 296 Wild Rice Irrigation Major Crop Irrigation 3.01972-0391 1 MACKIE, ROBERT W 296 Wild Rice Irrigation Major Crop Irrigation 5.51972-0402 1 BISKEY, RICHARD J 296 Wild Rice Irrigation Major Crop Irrigation 13.31972-0507 1 R V AUNE 296 Wild Rice Irrigation Major Crop Irrigation 16.31972-0519 1 OKUBO, JOHN 296 Wild Rice Irrigation Major Crop Irrigation 20.01972-0783 1 LAPORT, ORV & WAYNE 296 Wild Rice Irrigation Major Crop Irrigation 50.81972-0783 2 LAPORT, ORV & WAYNE 296 Wild Rice Irrigation Major Crop Irrigation 50.81972-0861 1 GUNVALSON BROTHERS 296 Wild Rice Irrigation Major Crop Irrigation 421.01972-0861 H-3 GUNVALSON BROTHERS 296 Wild Rice Irrigation Major Crop Irrigation 421.01972-0882 1 GODWARD FARMS 296 Wild Rice Irrigation Major Crop Irrigation 107.01972-0896 1 LAKELAND WILD RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 953.01972-0896 2 LAKELAND WILD RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 953.01972-0896 C-1 LAKELAND WILD RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 953.01972-0896 C-2 LAKELAND WILD RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 953.01972-0896 C-3 LAKELAND WILD RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 953.01972-0896 C-4 LAKELAND WILD RICE INC 296 Wild Rice Irrigation Major 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PINE LAKE WILD RICE FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 1,628.01972-1046 G-2 PINE LAKE WILD RICE FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 1,628.01972-1046 G-3 PINE LAKE WILD RICE FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 1,628.01972-1046 H-10 PINE LAKE WILD RICE FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 1,628.01972-1046 H-11 PINE LAKE WILD RICE FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 1,628.01972-1046 H-11 PINE LAKE WILD RICE FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 1,628.01972-1046 H-12 PINE LAKE WILD RICE FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 1,628.01972-1046 H-13 PINE LAKE WILD RICE FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 1,628.01972-1046 H-14 PINE LAKE WILD RICE FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 1,628.01972-1046 H-9 PINE LAKE WILD RICE FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 1,628.01972-1056 1 RENNEMO, WALLACE 296 Wild Rice Irrigation Major Crop Irrigation 103.01972-1056 2 RENNEMO, WALLACE 296 Wild Rice Irrigation Major Crop Irrigation 103.01972-1056 3 RENNEMO, WALLACE 296 Wild Rice Irrigation Major Crop Irrigation 103.01972-1079 1 GUNVALSON BROTHERS 296 Wild Rice Irrigation Major Crop Irrigation 50.01972-1095 1 GUNVALSON & IMLE 296 Wild Rice Irrigation Major Crop Irrigation 163.01972-1112 1 REESE, MIKE 296 Wild Rice Irrigation Major Crop Irrigation 193.11972-1148 1 ASSOCIATED INVESTORS 296 Wild Rice Irrigation Major Crop Irrigation 118.01972-1149 1 RED LAKE INDIANS TRIBAL ADMIN 296 Wild Rice Irrigation Major Crop Irrigation 1,050.01972-1149 2 RED LAKE INDIANS TRIBAL ADMIN 296 Wild Rice Irrigation Major Crop Irrigation 1,050.01972-1149 3 RED LAKE INDIANS TRIBAL ADMIN 296 Wild Rice Irrigation Major Crop Irrigation 1,050.01972-1164 1 HORNOF, FRANK J 296 Wild Rice Irrigation Major Crop Irrigation 12.01972-1164 2 HORNOF, FRANK J 296 Wild Rice Irrigation Major Crop Irrigation 12.01972-1168 1 RADNIEKI, RICHARD 296 Wild Rice Irrigation Major Crop Irrigation 116.01973-3025 1 MACGREGOR WILD RICE 296 Wild Rice Irrigation Major Crop Irrigation 114.01973-3025 2 MACGREGOR WILD RICE 296 Wild Rice Irrigation Major Crop Irrigation 114.01973-4009 1 RENNEMO, WALLACE 296 Wild Rice Irrigation Major Crop Irrigation 146.71973-4021 1 HAD INC 296 Wild Rice Irrigation Major Crop Irrigation 32.61973-4063 1 WAGNER, DUANE 296 Wild Rice Irrigation Major Crop Irrigation 29.01973-4081 1 RUTKOWSKI, WALLACE 296 Wild Rice Irrigation Major Crop Irrigation 65.01973-5011 1 ANDERSON, ARCHIE W 296 Wild Rice Irrigation Major Crop Irrigation 7.71973-5084 1 HENRY, ROBERT 296 Wild Rice Irrigation Major Crop Irrigation 40.01974-2091 1 NISTLER, MICHAEL 296 Wild Rice Irrigation Major Crop Irrigation 159.01974-2105 1 GAZELKA, EUGENE 296 Wild Rice Irrigation Major Crop Irrigation 13.31974-3016 1 SARA BAY COMPANY 296 Wild Rice Irrigation Major Crop Irrigation 100.01974-3089 1 PECK, MANFORD E 296 Wild Rice Irrigation Major Crop Irrigation 65.01974-3090 1 INVESTMENT RARITIES 296 Wild Rice Irrigation Major Crop Irrigation 25.01974-3115 1 GODWARD FARMS 296 Wild Rice Irrigation Major Crop Irrigation 69.01974-4054 1 SLETTA, ELIOT E 296 Wild Rice Irrigation Major Crop Irrigation 13.21975-1171 1 LUNDEEN, DARROW 296 Wild Rice Irrigation Major Crop Irrigation 50.0
Permit Installation Permittee Use ID Usename Category Permit Volume (MG)1975-2202 1 THOMPSON, DENNIS AND TIMOTHY 296 Wild Rice Irrigation Major Crop Irrigation 234.61975-2202 2 THOMPSON, DENNIS AND TIMOTHY 296 Wild Rice Irrigation Major Crop Irrigation 234.61975-2216 1 MANOMIN DEVELOPMENT CO 296 Wild Rice Irrigation Major Crop Irrigation 600.01975-2230 1 BROOKS, ERWIN R 296 Wild Rice Irrigation Major Crop Irrigation 125.01975-2266 1 SHIELDS, WILLIAM & LARRY SCOFIELD 296 Wild Rice Irrigation Major Crop Irrigation 318.01976-1007 1 AGASSIZ WILD RICE 296 Wild Rice Irrigation Major Crop Irrigation 27.01976-2022 1 HARRELL, PERCY WAYNE 296 Wild Rice Irrigation Major Crop Irrigation 100.01976-2143 1 GODWARD, THOMAS 296 Wild Rice Irrigation Major Crop Irrigation 80.01976-2247 1 WRIGHT, NORMAN C 296 Wild Rice Irrigation Major Crop Irrigation 10.01977-1353 1 HALAMA, VELMER 296 Wild Rice Irrigation Major Crop Irrigation 122.01977-2194 1 GODWARD WILD RICE FARMS 296 Wild Rice Irrigation Major Crop Irrigation 261.01977-2194 2 GODWARD WILD RICE FARMS 296 Wild Rice Irrigation Major Crop Irrigation 261.01977-2194 3 GODWARD WILD RICE FARMS 296 Wild Rice Irrigation Major Crop Irrigation 261.01977-2194 4 GODWARD WILD RICE FARMS 296 Wild Rice Irrigation Major Crop Irrigation 261.01977-2266 1 RICHARDS, DONALD E 296 Wild Rice Irrigation Major Crop Irrigation 150.01977-2266 2 RICHARDS, DONALD E 296 Wild Rice Irrigation Major Crop Irrigation 150.01977-2266 3 RICHARDS, DONALD E 296 Wild Rice Irrigation Major Crop Irrigation 150.01978-1043 1 MOHS, EDWARD 296 Wild Rice Irrigation Major Crop Irrigation 195.51978-2027 1 SAVAMCO INC 296 Wild Rice Irrigation Major Crop Irrigation 138.01979-1088 1 HORNOF, FRANK J 296 Wild Rice Irrigation Major Crop Irrigation 26.61979-1125 1 K D WILD RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 141.01979-1125 2 K D WILD RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 141.01979-1144 1 GUNVALSON & IMLE, E P & J 296 Wild Rice Irrigation Major Crop Irrigation 56.81979-1153 1 GUNVALSON FARMS 296 Wild Rice Irrigation Major Crop Irrigation 1,946.01979-1153 7 GUNVALSON FARMS 296 Wild Rice Irrigation Major Crop Irrigation 1,946.01979-1153 8 GUNVALSON FARMS 296 Wild Rice Irrigation Major Crop Irrigation 1,946.01979-1153 9 GUNVALSON FARMS 296 Wild Rice Irrigation Major Crop Irrigation 1,946.01979-1153 G-1 GUNVALSON FARMS 296 Wild Rice Irrigation Major Crop Irrigation 1,946.01979-1153 H-2 GUNVALSON FARMS 296 Wild Rice Irrigation Major Crop Irrigation 1,946.01979-1153 H-3 GUNVALSON FARMS 296 Wild Rice Irrigation Major Crop Irrigation 1,946.01979-1153 H-4 GUNVALSON FARMS 296 Wild Rice Irrigation Major Crop Irrigation 1,946.01979-1153 H-7 GUNVALSON FARMS 296 Wild Rice Irrigation Major Crop Irrigation 1,946.01979-1153 H-8 GUNVALSON FARMS 296 Wild Rice Irrigation Major Crop Irrigation 1,946.01979-1153 H-9 GUNVALSON FARMS 296 Wild Rice Irrigation Major Crop Irrigation 1,946.01979-1169 1 LINDQUIST, WILLIAM JR 296 Wild Rice Irrigation Major Crop Irrigation 50.01979-2106 1 SCHILLING, STEVEN M 296 Wild Rice Irrigation Major Crop Irrigation 18.01979-3198 1 LEECH RIVER WILD RICE 296 Wild Rice Irrigation Major Crop Irrigation 16.61979-3232 1 GIFFEN, ANDREW T 296 Wild Rice Irrigation Major Crop Irrigation 40.01980-1026 1 HILL, HOWARD D 296 Wild Rice Irrigation Major Crop Irrigation 22.01980-1026 1 HILL, HOWARD D 296 Wild Rice Irrigation Major Crop Irrigation 22.01980-1132 1 DIAMOND RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 200.01980-1132 2 DIAMOND RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 200.01980-1157 1 LANDRETH FARMS 296 Wild Rice Irrigation Major Crop Irrigation 500.01981-1022 1 GUNVALSON BROTHERS 296 Wild Rice Irrigation Major Crop Irrigation 190.01981-1098 1 GUNVALSON & IMLE 296 Wild Rice Irrigation Major Crop Irrigation 125.01981-1128 1 FIGLIUZZI, JOSEPH 296 Wild Rice Irrigation Major Crop Irrigation 54.01981-1242 1 REESE, MIKE 296 Wild Rice Irrigation Major Crop Irrigation 78.21981-1264 1 LANDRETH, GEORGE 296 Wild Rice Irrigation Major Crop Irrigation1981-2097 1 GODWARD, THOMAS 296 Wild Rice Irrigation Major Crop Irrigation 33.01982-1053 1 KROGSENG, RONALD P 296 Wild Rice Irrigation Major Crop Irrigation 40.01982-1091 1 GULLY FARMS ENTERPRISES 296 Wild Rice Irrigation Major Crop Irrigation 244.01982-1131 1 HALAMA, VELMER 296 Wild Rice Irrigation Major Crop Irrigation 13.01982-1193 1 FIGLIUZZI FAMILY TRUST 296 Wild Rice Irrigation Major Crop Irrigation 237.01982-2026 1 BLANCHARD, CHARLES 296 Wild Rice Irrigation Major Crop Irrigation 20.01982-2052 1 MACGREGOR WILD RICE 296 Wild Rice Irrigation Major Crop Irrigation 9,999.01983-1002 GRAV KOLLING, OLIVE 296 Wild Rice Irrigation Major Crop Irrigation 176.01983-1002 PUMP KOLLING, OLIVE 296 Wild Rice Irrigation Major Crop Irrigation 176.01983-1025 1 MOSTAD, MILO & GARY 296 Wild Rice Irrigation Major Crop Irrigation 100.01983-1025 2 MOSTAD, MILO & GARY 296 Wild Rice Irrigation Major Crop Irrigation 100.01983-1089 1 BREKKE, ROBERT 296 Wild Rice Irrigation Major Crop Irrigation 47.01983-1157 1 GAMBLE, BERT 296 Wild Rice Irrigation Major Crop Irrigation 19.01983-1194 1 LINDQUIST, WILLIAM A 296 Wild Rice Irrigation Major Crop Irrigation 61.01983-1200 1 AGASSIZ WILD RICE 296 Wild Rice Irrigation Major Crop Irrigation 80.01983-2046 1 MILLE LACS MEADOW 296 Wild Rice Irrigation Major Crop Irrigation 9.01984-2140 1 GEERDES, JERRY A 296 Wild Rice Irrigation Major Crop Irrigation 16.01984-2193 1 THORNBLOOM, LELAND 296 Wild Rice Irrigation Major Crop Irrigation 10.01984-3173 A GIFFEN RICE FARMS 296 Wild Rice Irrigation Major Crop Irrigation 333.01984-3173 B GIFFEN RICE FARMS 296 Wild Rice Irrigation Major Crop Irrigation 333.01984-4086 1 THOMPSON JR, JAMES S 296 Wild Rice Irrigation Major Crop Irrigation 96.01984-4087 1 THOMPSON REMAINDER TRUST 296 Wild Rice Irrigation Major Crop Irrigation 11.01985-1134 1 LEONHARDT, GARY 296 Wild Rice Irrigation Major Crop Irrigation 33.01985-1134 2 LEONHARDT, GARY 296 Wild Rice Irrigation Major Crop Irrigation 33.01985-1143 1 FRENZEL, MIKE 296 Wild Rice Irrigation Major Crop Irrigation 96.0
Permit Installation Permittee Use ID Usename Category Permit Volume (MG)1985-1154 1 LINDQUIST, WILLIAM LEE JR 296 Wild Rice Irrigation Major Crop Irrigation 13.31985-1179 1 K D WILD RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 66.71985-1179 2 K D WILD RICE INC 296 Wild Rice Irrigation Major Crop Irrigation 66.71985-1189 1 NELSON, DONALD K 296 Wild Rice Irrigation Major Crop Irrigation 51.01985-1213 1 LUCAS, MIKE 296 Wild Rice Irrigation Major Crop Irrigation 11.01985-1215 1 NISTLER, ANDREW 296 Wild Rice Irrigation Major Crop Irrigation 7.01985-2111 1 NISTLER, ANDREW 296 Wild Rice Irrigation Major Crop Irrigation 16.61985-2125 1 AD MAKEPEACE CO 296 Wild Rice Irrigation Major Crop Irrigation 104.01985-2126 1 AD MAKEPEACE CO 296 Wild Rice Irrigation Major Crop Irrigation 18.01985-2146 1 GLACIER FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 29.01986-1149 1 LEONHARDT, GARY 296 Wild Rice Irrigation Major Crop Irrigation 21.71986-2181 1 DELICACY FOODS INC 296 Wild Rice Irrigation Major Crop Irrigation 50.01986-3152 1 PASSARD, GARY 296 Wild Rice Irrigation Major Crop Irrigation 16.01987-1191 1 MALLARD WILD RICE 296 Wild Rice Irrigation Major Crop Irrigation 25.01987-1192 1 MALLARD WILD RICE 296 Wild Rice Irrigation Major Crop Irrigation 70.01987-1193 1 MALLARD WILD RICE 296 Wild Rice Irrigation Major Crop Irrigation 25.01987-2075 1 LITTLER, EVERT 296 Wild Rice Irrigation Major Crop Irrigation 6.71988-2108 1 GODWARD, THOMAS 296 Wild Rice Irrigation Major Crop Irrigation 37.01988-4241 1 BENTSEN LAKE INC 296 Wild Rice Irrigation Major Crop Irrigation 4.21991-1288 1 HOLMBERG, BRIAN W 296 Wild Rice Irrigation Major Crop Irrigation 26.01991-3232 1 PUETZ, RAYMOND M 296 Wild Rice Irrigation Major Crop Irrigation 59.01991-3232 2 PUETZ, RAYMOND M 296 Wild Rice Irrigation Major Crop Irrigation 59.01991-3232 3 PUETZ, RAYMOND M 296 Wild Rice Irrigation Major Crop Irrigation 59.01991-3244 1 LEECH RIVER WILD RICE FARMS INC 296 Wild Rice Irrigation Major Crop Irrigation 78.01992-1118 GRAV NORTH STAR ENTERPRISES 296 Wild Rice Irrigation Major Crop Irrigation 53.01992-1118 PUMP NORTH STAR ENTERPRISES 296 Wild Rice Irrigation Major Crop Irrigation 53.01992-1263 1 ROULAND, ROBERT 296 Wild Rice Irrigation Major Crop Irrigation 22.81992-1264 1 ROULAND, ROBERT 296 Wild Rice Irrigation Major Crop Irrigation 29.31996-1029 1 WISETH, LLOYD 296 Wild Rice Irrigation Major Crop Irrigation 36.01997-1057 H-18 GUNVALSON BROTHERS 296 Wild Rice Irrigation Major Crop Irrigation 305.01997-1057 H-19 GUNVALSON BROTHERS 296 Wild Rice Irrigation Major Crop Irrigation 305.01997-1320 1 MUTNANSKY, JOSEPH 296 Wild Rice Irrigation Major Crop Irrigation 70.01998-1125 1 MUTNANSKY, JIM 296 Wild Rice Irrigation Major Crop Irrigation 163.02000-1093 1 GUNVALSON FARMS 296 Wild Rice Irrigation Major Crop Irrigation 1,041.02000-1093 5 GUNVALSON FARMS 296 Wild Rice Irrigation Major Crop Irrigation 1,041.02000-1093 11 GUNVALSON FARMS 296 Wild Rice Irrigation Major Crop Irrigation 1,041.02000-1093 3-4 GUNVALSON FARMS 296 Wild Rice Irrigation Major Crop Irrigation 1,041.02000-1093 1-1A GUNVALSON FARMS 296 Wild Rice Irrigation Major Crop Irrigation 1,041.02001-1110 1 MUTNANSKY, JOSEPH 296 Wild Rice Irrigation Major Crop Irrigation 105.02001-1110 1 MUTNANSKY, JOSEPH 296 Wild Rice Irrigation Major Crop Irrigation 105.02003-2144 1 NISTLER, MICHAEL A 296 Wild Rice Irrigation Major Crop Irrigation 154.02005-2071 1 HAYWIRE POINT LLC 296 Wild Rice Irrigation Major Crop Irrigation 425.02005-2071 2 HAYWIRE POINT LLC 296 Wild Rice Irrigation Major Crop Irrigation 425.02005-2071 3 HAYWIRE POINT LLC 296 Wild Rice Irrigation Major Crop Irrigation 425.02005-2071 4 HAYWIRE POINT LLC 296 Wild Rice Irrigation Major Crop Irrigation 425.02005-2071 5 HAYWIRE POINT LLC 296 Wild Rice Irrigation Major Crop Irrigation 425.02005-2072 1 HAYWIRE POINT LLC 296 Wild Rice Irrigation Major Crop Irrigation 425.02006-0367 1 LINDQUIST, WILLIAM AND SUSAN 296 Wild Rice Irrigation Major Crop Irrigation 235.02006-0367 2 LINDQUIST, WILLIAM AND SUSAN 296 Wild Rice Irrigation Major Crop Irrigation 235.02006-0367 3 LINDQUIST, WILLIAM AND SUSAN 296 Wild Rice Irrigation Major Crop Irrigation 235.02006-0367 4 LINDQUIST, WILLIAM AND SUSAN 296 Wild Rice Irrigation Major Crop Irrigation 235.02006-0367 5 LINDQUIST, WILLIAM AND SUSAN 296 Wild Rice Irrigation Major Crop Irrigation 235.0
Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID County4,000 60 1 3 PELICAN BROOK 18 Crow Wing1,000 40 4 3 18-0181P 18 Crow Wing
40 4 4 COUNTY DITCH 15 18 Crow Wing90 4 3 TAMARAC RIVER 4 Beltrami
6,500 251 1 4 JUDICIAL DITCH 15 4 Beltrami6,500 251 1 3 TAMARAC RIVER 4 Beltrami6,500 251 1 3 TAMARAC RIVER 4 Beltrami3,600 110 1 3 TAMARAC RIVER 4 Beltrami3,600 110 1 3 TAMARAC RIVER 4 Beltrami3,600 110 1 4 4 Beltrami
70 1 4 31 Itasca70 1 4 31 Itasca
4,600 150 4 3 RICE RIVER 1 Aitkin40 4 3 NOKASIPPI RIVER 18 Crow Wing
2,500 260 4 3 LEECH LAKE RIVER 11 Cass2,000 276 1 4 4 Beltrami2,000 276 1 4 4 Beltrami2,000 276 1 4 4 Beltrami
307 4 4 4 Beltrami119 1 4 4 Beltrami
30,500 1418 1 4 COUNTY DITCH 22 1 Aitkin30,500 1418 1 4 COUNTY DITCH 22 1 Aitkin30,500 1418 1 4 COUNTY DITCH 22 1 Aitkin30,500 1418 1 4 COUNTY DITCH 22 1 Aitkin30,500 1418 1 4 COUNTY DITCH 22 1 Aitkin30,500 1418 1 4 COUNTY DITCH 22 1 Aitkin30,500 1418 1 3 LITTLE WILLOW RIVER 1 Aitkin1,500 200 4 3 LEECH LAKE RIVER 11 Cass
142 1 3 LOST 36 Koochiching142 1 3 LOST 36 Koochiching
5,000 80 4 4 1 Aitkin7,400 134 1 3 BATTLE S FORK 4 Beltrami7,400 134 3 4 4 Beltrami7,400 134 1 4 4 Beltrami
444 1 4 31 Itasca444 3 4 31 Itasca444 3 4 31 Itasca444 3 4 31 Itasca
1,000 20 4 3 BATTLE RIVER 4 Beltrami1,000 20 4 3 BATTLE 4 Beltrami
4 3 ST LOUIS RIVER 69 St Louis1025 1 3 CLEARWATER RIVER 15 Clearwater80 1 3 SWAMP CREEK 11 Cass80 3 3 STEAMBOAT 11 Cass
600 150 1 3 HAY CREEK 18 Crow Wing2,000 80 4 3 RICE RIVER 1 Aitkin5,000 80 4 4 JUDICIAL DITCH 31 4 Beltrami5,000 80 4 3 BATTLE RIVER 4 Beltrami
40 4 3 MISSISSIPPI RIVER 31 Itasca20 4 3 TAMARAC RIVER 4 Beltrami84 4 4 4 Beltrami160 4 3 RICE RIVER 1 Aitkin160 4 4 1 Aitkin48 1 4 JUDICIAL DITCH 10 4 Beltrami
2,500 300 1 3 BALL CLUB RIVER 31 Itasca2,500 300 1 3 BALL CLUB RIVER 31 Itasca5,200 224 1 4 JUDICIAL DITCH 8 4 Beltrami5,200 224 1 4 JUDICIAL DITCH 8 4 Beltrami16,000 850 1 3 MISSISSIPPI RIVER 1 Aitkin16,000 850 1 3 MISSISSIPPI RIVER 1 Aitkin
300 4 4 JUDICIAL DITCH 61 60 Polk300 4 4 JUDICIAL DITCH 91 60 Polk
5,000 211 1 4 JUDICIAL DITCH 31 4 Beltrami5,000 211 1 4 JUDICIAL DITCH 31 4 Beltrami5,000 211 1 4 JUDICIAL DITCH 31 4 Beltrami
1412 1 4 4 Beltrami1412 1 4 JUDICIAL DITCH 15 4 Beltrami1412 1 4 4 Beltrami1412 1 3 TAMARAC RIVER 4 Beltrami1412 1 4 4 Beltrami
1,200 13 4 4 WHITE ELK BROOK 1 Aitkin
Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID County3,400 240 1 3 BATTLE RIVER N BRANCH 4 Beltrami3,400 240 1 3 BATTLE RIVER N BRANCH 4 Beltrami1,200 240 1 4 JUDICIAL DITCH 14 4 Beltrami2,000 70 4 2 LEECH LAKE 11-0203P 11 Cass
480 4 4 JUDICIAL DITCH 14 4 Beltrami5,000 60 1 4 COUNTY DITCH 88 1 Aitkin
80 4 3 TAMARAC RIVER 4 Beltrami80 4 3 TAMARAC RIVER 4 Beltrami80 4 3 TAMARAC RIVER 4 Beltrami
5,000 40 4 4 1 Aitkin2,000 120 4 3 MISSISSIPPI RIVER 1 Aitkin2,000 120 4 4 1 Aitkin6,000 265 1 4 JUDICIAL DITCH 31-LAT 1 4 Beltrami6,000 265 1 4 JUDICIAL DITCH 31-BRCH 10 4 Beltrami
1219 3 3 CLEARWATER 15 Clearwater1219 3 3 CLEARWATER 15 Clearwater1219 3 3 RUFFY BROOK 15 Clearwater1219 1 3 CLEARWATER 15 Clearwater1219 1 3 CLEARWATER 15 Clearwater1219 1 3 CLEARWATER 15 Clearwater1219 1 3 CLEARWATER 15 Clearwater1219 1 3 CLEARWATER 15 Clearwater1219 1 4 JUDICIAL DITCH 2 15 Clearwater1219 1 4 PRIVATE DITCH 15 Clearwater1219 1 3 RUFFY BROOK 15 Clearwater100 4 3 TAMARAC RIVER 4 Beltrami100 4 3 TAMARAC RIVER 4 Beltrami40 4 3 SHELL RIVER 3 Becker523 4 3 RED LAKE RIVER 57 Pennington1200 4 3 CLEARWATER RIVER 15 Clearwater1200 4 3 CLEARWATER RIVER 15 Clearwater1200 4 3 CLEARWATER RIVER 15 Clearwater1200 4 4 WINSOR-HANGAARD DITCH 15 Clearwater1200 4 4 WINSOR-HANGAARD DITCH 15 Clearwater1200 4 4 WINSOR-HANGAARD DITCH 15 Clearwater1200 4 4 15 Clearwater1200 4 4 15 Clearwater
1,000 160 4 3 SNAKE RIVER 1 Aitkin400 4 3 RED LAKE RIVER 57 Pennington400 4 3 RED LAKE RIVER 57 Pennington22 4 2 MYRTLE LAKE 04-0304P 4 Beltrami50 4 3 56 Otter Tail
4 2 LEECH LAKE 11-0203P 11 Cass67 4 3 MISSISSIPPI RIVER 4 Beltrami50 4 4 4 Beltrami
700 10 4 3 PELICAN 18 Crow Wing333 1 3 CLEARWATER 60 Polk80 4 3 RAINY 36 Koochiching
3,000 192 1 3 CORMORANT SOUTH 4 Beltrami3,000 192 1 3 DETLING CREEK 4 Beltrami
1610 1 3 CLEARWATER RIVER 15 Clearwater1610 1 4 JUDICIAL DITCH 2 15 Clearwater1610 1 3 RUFFY BROOK 15 Clearwater1610 1 3 RUFFY BROOK 15 Clearwater250 4 3 RED LAKE RIVER 57 Pennington
6,000 1030 1 3 MISSISSIPPI RIVER 1 Aitkin205 4 4 COUNTY DITCH 89 60 Polk205 4 4 STATE DITCH 61 60 Polk90 4 3 RED LAKE RIVER 57 Pennington90 4 3 RED LAKE RIVER 57 Pennington
1,000 40 1 3 BATTLE RIVER S BRANCH 4 Beltrami1,000 40 1 4 4 Beltrami
74 4 3 WILLOW RIVER 1 Aitkin51 4 4 COUNTY DITCH 3 31 Itasca5 4 3 SWAN 31 Itasca
1,600 444 1 3 MISSISSIPPI RIVER 31 Itasca1,600 444 1 3 MISSISSIPPI RIVER 31 Itasca4,045 720 4 3 CLEARWATER RIVER 60 Polk4,045 720 4 3 CLEARWATER RIVER 60 Polk4,045 720 4 3 CLEARWATER RIVER 60 Polk4,045 720 4 3 CLEARWATER RIVER 60 Polk1,000 30 4 2 GUN LAKE 01-0099P 1 Aitkin5,000 266 1 4 COUNTY DITCH 88 1 Aitkin
Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID County5,000 266 3 4 COUNTY DITCH 88 1 Aitkin5,000 200 4 3 FLEMING 1 Aitkin3,000 400 1 3 RAPID RIVER S BRANCH 39 Lake of the Woods5,000 150 4 4 COUNTY DITCH 38 1 Aitkin5,000 150 4 4 COUNTY DITCH 38 1 Aitkin1,000 10 1 3 PRAIRIE RIVER 31 Itasca1,000 10 1 3 PRAIRIE RIVER 31 Itasca1,000 10 2 3 PEAR CREEK 31 Itasca667 5 4 2 SHERIFF LAKE 01-0027P 1 Aitkin
1,800 10 4 3 EMBARRASS RIVER 69 St Louis1,500 20 4 3 MOOSE 1 Aitkin
50 4 2 RED RIVER LAKE 04-0035P 4 Beltrami30 4 3 18 Crow Wing160 4 4 JUDICIAL DITCH 14 4 Beltrami160 4 4 JUDICIAL DITCH 20 4 Beltrami
4,000 517 4 3 CLEARWATER RIVER 57 Pennington4,000 517 4 3 CLEARWATER RIVER 57 Pennington3,000 213 1 3 LITTLE WILLOW RIVER 1 Aitkin
1170 4 3 CLEARWATER RIVER 15 Clearwater1170 4 4 CLEARWATER 15 Clearwater1170 4 3 CLEARWATER RIVER 15 Clearwater1170 4 3 CLEARWATER RIVER 15 Clearwater1170 4 4 CLEARWATER 15 Clearwater1170 4 4 CLEARWATER 15 Clearwater1170 4 4 CLEARWATER 15 Clearwater
22,185 2000 3 3 CLEARWATER RIVER 15 Clearwater22,185 2000 3 3 CLEARWATER RIVER 15 Clearwater22,185 2000 1 3 CLEARWATER RIVER 15 Clearwater22,185 2000 1 3 CLEARWATER RIVER 15 Clearwater22,185 2000 1 3 CLEARWATER RIVER 15 Clearwater22,185 2000 1 4 15 Clearwater27,350 2000 3 3 CLEARWATER RIVER 60 Polk27,350 2000 3 3 CLEARWATER RIVER 57 Pennington27,350 2000 3 3 CLEARWATER RIVER 60 Polk27,350 2000 3 3 60 Polk27,350 2000 1 3 CLEARWATER RIVER 60 Polk27,350 2000 1 3 CLEARWATER RIVER 60 Polk27,350 2000 1 3 CLEARWATER RIVER 60 Polk27,350 2000 1 3 CLEARWATER RIVER 60 Polk27,350 2000 1 3 CLEARWATER RIVER 60 Polk27,350 2000 1 3 CLEARWATER RIVER 60 Polk27,350 2000 1 4 RED LAKE CUTOFF DITCH 57 Pennington27,350 2000 1 4 RED LAKE CUTOFF DITCH 57 Pennington27,350 2000 3 3 CLEARWATER RIVER 60 Polk10,000 315 4 4 JUDICIAL DITCH 15 4 Beltrami10,000 315 4 4 JUDICIAL DITCH 15 4 Beltrami10,000 315 4 4 JUDICIAL DITCH 15 4 Beltrami
60 4 3 CLEARWATER RIVER 60 Polk195 4 3 CLEARWATER RIVER 57 Pennington
1,500 395 1 4 JUDICIAL DITCH 5 36 Koochiching240 4 3 CLEARWATER RIVER 15 Clearwater1260 4 3 CLEARWATER RIVER 15 Clearwater1260 4 3 CLEARWATER RIVER 15 Clearwater1260 4 3 CLEARWATER RIVER 26-3019P 15 Clearwater37 4 4 JUDICIAL DITCH 14 4 Beltrami37 4 3 JUDICIAL DITCH 30 4 Beltrami116 4 3 RED LAKE RIVER 57 Pennington
2,000 344 4 4 COUNTY DITCH 31 1 Aitkin2,000 344 4 4 COUNTY DITCH 31 1 Aitkin
440 4 3 JUDICIAL DITCH 15 4 Beltrami100 4 4 4 Beltrami35 4 3 CLEARWATER RIVER 15 Clearwater190 4 4 60 Polk
2,500 15 4 4 31 Itasca5,000 80 4 3 SWAN 31 Itasca
236 4 3 LITTLE TAMARAC 36 Koochiching18 4 3 69 St Louis
250 200 4 5 1 Aitkin1,500 160 4 4 1 Aitkin750 60 4 4 COUNTY DITCH 2 1 Aitkin
2,500 138 1 3 LITTLE WILLOW RIVER 1 Aitkin800 40 4 4 COUNTY DITCH 23 34 Kandiyohi
75 4 3 RED LAKE RIVER 57 Pennington
Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID County4,000 480 1 4 STATE DITCH 66 1 Aitkin4,000 480 1 4 STATE DITCH 66 1 Aitkin5,000 1200 4 3 MISSISSIPPI RIVER 1 Aitkin3,000 250 4 4 1 Aitkin3,000 635 1 4 COUNTY DITCH 27 1 Aitkin
80 1 4 4 Beltrami2,300 300 4 3 MISSISSIPPI RIVER 1 Aitkin1,500 160 1 4 STATE DITCH 63 1 Aitkin500 60 4 3 LITTLE WILLOW RIVER 1 Aitkin
250 1 4 4 Beltrami6,000 681 1 3 MISSISSIPPI RIVER 1 Aitkin6,000 681 3 4 COUNTY DITCH 22 1 Aitkin6,000 681 3 4 COUNTY DITCH 22 1 Aitkin6,000 681 3 4 COUNTY DITCH 22 1 Aitkin4,000 300 1 3 RICE RIVER 1 Aitkin4,000 300 1 3 RICE RIVER 1 Aitkin4,000 300 1 3 RICE RIVER 1 Aitkin800 400 1 3 BATTLE RIVER S BRANCH 4 Beltrami
413 1 7 GRAYLING MARSH 1 Aitkin80 4 4 JUDICIAL DITCH 14 4 Beltrami
6,000 216 1 4 JUDICIAL DITCH 8 4 Beltrami6,000 216 1 4 JUDICIAL DITCH 8 4 Beltrami1,000 70 1 4 60 Polk27,350 2389 3 3 CLEARWATER RIVER 60 Polk27,350 2389 3 3 CLEARWATER RIVER 60 Polk27,350 2389 3 3 CLEARWATER RIVER 60 Polk27,350 2389 3 3 CLEARWATER RIVER 60 Polk27,350 2389 1 3 CLEARWATER RIVER 60 Polk27,350 2389 1 3 CLEARWATER RIVER 57 Pennington27,350 2389 1 3 CLEARWATER RIVER 60 Polk27,350 2389 1 3 CLEARWATER RIVER 60 Polk27,350 2389 1 3 CLEARWATER RIVER 60 Polk27,350 2389 1 3 CLEARWATER RIVER 60 Polk27,350 2389 1 3 CLEARWATER RIVER 57 Pennington2,000 100 1 2 UPPER RED LAKE 04-0035P 4 Beltrami700 34 4 5 NEMADJI RIVER 9 Carlton300 4 4 11 Cass
3,000 60 4 5 11 Cass40 4 4 4 Beltrami40 4 4 4 Beltrami
8,000 600 1 4 JUDICIAL DITCH 20 39 Lake of the Woods8,000 600 1 4 JUDICIAL DITCH 20 39 Lake of the Woods10,000 1000 4 3 HAY CREEK 4 Beltrami
228 4 3 CLEARWATER RIVER 57 Pennington4,000 150 1 4 JUDICIAL DITCH BR #3 60 Polk5,000 65 4 4 JUDICIAL DITCH 31-BRCH 9 4 Beltrami10,000 160 1 4 JUDICIAL DITCH 14 4 Beltrami
4 3 DARRIGAN CREEK 4 Beltrami1,800 68 1 3 LITTLE WILLOW RIVER 1 Aitkin3,000 60 4 3 BATTLE S FORK 4 Beltrami2,350 235 4 3 CLEARWATER RIVER 60 Polk1,500 20 1 4 4 Beltrami2,000 365 1 4 JUDICIAL DITCH 31 4 Beltrami5,000 60 4 2 31 Itasca5,000 344 4 4 STATE DITCH 66 1 Aitkin
270 1 4 STATE DITCH 61 LAT #1 60 Polk270 1 4 STATE DITCH 61 LAT #1 60 Polk
2,000 200 4 4 4 Beltrami2,000 200 4 4 4 Beltrami
29 140 4 4 JUDICIAL DITCH 72 60 Polk3,000 60 4 3 CORMORANT S 4 Beltrami500 91 1 4 4 Beltrami
320 1 4 JUDICIAL DITCH 5 4 Beltrami1,500 20 4 4 1 Aitkin
32 1 3 LOST 36 Koochiching1,200 20 4 4 STATE DITCH 66 1 Aitkin4,500 600 4 2 LEECH LAKE 11-0203P 11 Cass4,500 600 4 2 LEECH LAKE 11-0203P 11 Cass4,000 144 4 3 OKABENA CREEK 32 Jackson1,200 16 4 3 OKABENA CREEK 32 Jackson3,500 60 1 4 4 Beltrami3,500 60 1 4 4 Beltrami
230 4 3 4 Beltrami
Permit GPM Permit Acres Status Res Code Resource Name PWI ID Well Num Well Depth County ID County1,200 60 1 4 JUDICIAL DITCH 10 4 Beltrami3,000 100 1 3 TAMARAC RIVER 4 Beltrami3,000 100 1 4 JUDICIAL DITCH 15 4 Beltrami
77 4 4 JUDICIAL DITCH 15 4 Beltrami2,700 20 4 4 4 Beltrami3,000 20 1 4 4 Beltrami
50 1 3 CORMORANT N 36 Koochiching6,000 188 4 4 STATE DITCH 66 1 Aitkin6,000 33 4 4 COUNTY DITCH 25 1 Aitkin
35 4 3 1 Aitkin1,500 40 1 4 4 Beltrami3,000 120 4 4 DITCH 66 1 Aitkin1,200 25 4 3 11 Cass
50 4 7 60 Polk100 140 4 4 60 Polk
50 4 4 60 Polk20 4 4 35-2005 69 St Louis
1,500 74 1 4 STATE DITCH 63 1 Aitkin750 1 2 BENTSEN LAKE 6 Big Stone
2,500 80 4 3 LOST RIVER 60 Polk400 6 1 4 18 Crow Wing400 6 1 4 18 Crow Wing400 6 1 4 18 Crow Wing500 157 4 3 LEECH LAKE RIVER 11 Cass
3,000 80 1 3 RUFFY BROOK 15 Clearwater3,000 80 1 3 RUFFY BROOK 15 Clearwater1,000 4 4 STATE DITCH 61 60 Polk5,000 4 3 LOST RIVER 60 Polk2,500 55 4 4 COUNTY DITCH 32 45 Marshall5,000 375 4 3 CLEARWATER RIVER 63 Red Lake5,000 375 4 3 CLEARWATER RIVER 63 Red Lake2,000 130 1 4 COUNTY DITCH 20 45 Marshall2,000 200 4 4 COUNTY DITCH 20 45 Marshall11,080 1278 3 3 CLEARWATER RIVER 63 Red Lake11,080 1278 1 3 CLEARWATER RIVER 57 Pennington11,080 1278 1 3 CLEARWATER RIVER 63 Red Lake11,080 1278 1 3 CLEARWATER RIVER 63 Red Lake11,080 1278 1 3 CLEARWATER RIVER 63 Red Lake2,000 160 1 4 45 Marshall2,000 160 1 4 45 Marshall900 236 1 3 LITTLE TANARAC RIVER 36 Koochiching
4,200 1275 1 4 STATE DITCH 88 1 Aitkin4,200 1275 1 4 STATE DITCH 88 1 Aitkin4,200 1275 1 4 STATE DITCH 88 1 Aitkin4,200 1275 1 4 STATE DITCH 88 1 Aitkin4,200 1275 1 4 STATE DITCH 88 1 Aitkin10,000 1275 1 3 MISSISSIPPI RIVER 1 Aitkin
720 1 4 4 Beltrami720 1 4 4 Beltrami720 1 4 4 Beltrami720 1 4 4 Beltrami720 1 4 4 Beltrami
Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003 use_2002 use_200111 136 27 8 BACD 28.5 .0 28.9 .0 32.3 .0 2.8 19.010 136 25 1711 138 25 21 A .0 .0 .0 .0 .0 .0 .0 .062 154 30 15 A62 154 30 10 DBB .0 31.0 17.8 20.0 10.7 .0 43.7 46.662 154 30 10 DAC 39.1 18.0 .0 3.0 12.1 18.6 .0 .062 154 30 11 CBB .0 .0 .0 .0 .0 9.8 .0 .062 154 30 16 ACC .0 15.0 .0 .0 16.3 14.4 .0 .062 154 30 16 BDB .0 12.0 .0 8.0 .0 .0 18.2 .062 154 30 16 ABA .0 .0 48.9 14.6 .0 .0 .0 14.47 56 27 22 CB 17.5 21.5 20.8 22.7 22.5 21.5 20.0 22.57 56 27 22 CB .0 .0 .0 .0 .0 .0 .0 .010 47 25 5 DCC .0 .0 .0 .0 .0 .0 .0 .010 43 31 12 CB8 144 28 2 CC .0 .0 .0 .0 .0 .0 .0 .062 155 31 27 BB 53.0 22.0 55.0 25.0 25.0 .0 14.0 58.062 155 31 27 AA 35.5 16.4 34.0 15.8 44.0 .0 38.0 5.562 155 31 27 CC 24.6 56.8 .0 1.4 .0 .0 35.6 .062 155 30 21 BBB .0 .0 .0 .0 .0 .0 .0 .062 155 30 33 AB 21.2 18.5 19.1 .0 22.6 18.5 19.6 12.010 48 26 8 AAD 65.5 53.7 48.2 37.6 63.5 40.4 73.2 63.710 48 26 17 AAD 144.7 73.9 64.7 82.7 23.8 73.6 29.2 85.010 48 26 17 ADD 114.8 132.8 86.8 .0 136.5 .0 90.7 118.510 48 26 9 BCC 111.5 43.7 62.5 80.0 81.5 105.8 .0 99.510 48 26 16 BBB 64.6 .0 74.0 45.5 63.5 24.0 65.0 23.410 48 26 16 BCC .0 130.1 68.8 42.5 43.4 91.3 74.3 56.010 48 26 8 CCA .0 .0 .0 .0 .0 .0 .0 .08 143 27 6 CDA .0 .0 .0 .0 .0 .0 .0 .062 154 29 21 AAA 32.0 32.0 48.0 47.0 47.0 47.0 71.0 70.062 154 29 22 BAA 17.0 17.0 .0 .0 .0 .0 .0 .010 48 25 2 BA .0 .0 .0 .0 .0 .0 .0 .062 152 32 14 DBBC 372487 5315706 38.1 38.5 17.0 .0 6.1 .0 33.3 47.662 152 32 14 BDA .0 .0 .0 .0 .0 .0 .0 .062 152 32 14 ACCC 372487 5315915 .0 .0 .0 33.6 .0 .0 .0 .07 144 25 4 ABB 88.0 66.0 107.5 142.0 115.0 32.0 30.0 31.07 144 25 4 AAB .0 .0 .0 .0 .0 .0 .0 .07 144 25 4 AAA .0 .0 .0 .0 .0 .0 .0 .07 144 25 4 AAA .0 .0 .0 .0 .0 .0 .0 .062 152 32 14 BDA .0 .0 .0 .0 .0 .0 .0 .062 152 32 14 DBC .0 .0 .0 .0 .0 .0 .0 .03 58 15 20 CD66 150 37 22 DCC 205.7 732.6 289.7 360.8 834.0 832.8 672.1 832.58 143 31 4 C .0 .0 .0 .0 .0 .0 .0 .08 143 31 5 DA .0 .0 .0 .0 .0 .0 .0 .010 44 31 34 DCD .0 18.0 26.1 39.9 .0 .0 27.0 26.810 47 25 9 DCCB .0 .0 .0 .0 .0 .0 .0 .062 152 31 4 DCD .0 .0 .0 .0 .0 .0 .0 .062 152 31 4 CAC .0 .0 .0 .0 .0 .0 .0 .07 144 25 4 ADCC .0 .0 .0 .0 .0 .0 .0 .062 154 30 16 CAB .0 .0 .0 .0 .0 .0 .0 .062 152 30 8 CCC .0 .0 .0 .0 .0 .0 .0 .010 47 26 1 D .0 .0 .0 .0 .0 .0 .0 .010 47 26 1 D62 153 30 14 D .0 17.9 .0 15.6 20.9 .0 20.9 23.57 144 25 6 BDA .0 .0 .0 .0 .0 .0 .0 .07 145 25 31 CDD .0 .0 .0 .0 .0 .0 .0 .062 154 30 16 CCB 44.0 40.8 66.3 28.0 15.9 .0 .0 .062 154 30 21 CCD 44.0 40.8 5.4 .0 .0 .0 59.5 50.39 48 25 6 BDCB 16.3 .0 17.9 .0 148.2 78.2 81.5 .09 48 25 6 BCD 396.2 260.7 4.9 17.9 .0 .0 97.7 81.566 150 40 14 C66 150 40 1662 152 31 16 AAAA 379749 5316544 .0 .0 60.0 15.0 60.0 .0 45.0 33.062 152 31 9 DADD 379752 531702062 153 31 16 ADDD 379720 531586262 154 30 1 AAA 154.6 56.7 173.9 170.5 168.2 86.9 153.9 165.162 154 30 1 BBB 132.1 132.5 197.1 163.4 113.2 34.2 93.8 111.162 154 30 12 BBC .0 73.9 .0 28.7 .0 .0 .0 .062 154 30 11 ADC .0 175.4 .0 .0 .0 106.9 .0 .062 155 30 35 DCB .0 10.2 42.3 58.6 28.9 73.3 57.9 78.29 49 26 14 AA .0 .0 .0 .0 .0 .0 .0 .0
Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003 use_2002 use_200162 152 32 11 DBBB .0 .0 .0 .0 .0 25.0 107.0 87.962 152 32 11 CDDD 65.6 52.5 52.8 52.5 65.6 .0 .0 .062 155 31 28 BBB .0 .0 32.6 20.0 33.9 .0 .0 27.28 143 29 14 DAD62 155 31 20 A .0 .0 .0 .0 .0 .0 .0 .09 49 25 1 AAA .0 72.3 .0 .0 .0 28.5 .0 .062 154 30 15 BB .0 .0 .0 .0 .0 .0 .0 .062 154 30 15 BB62 154 30 15 BB10 48 25 2 C .0 .0 .0 .0 .0 .0 .0 .010 48 26 22 CAC .0 .0 .0 .0 .0 .0 .0 .010 48 26 27 A62 152 31 9 AABB 379375 5318212 68.8 13.0 73.0 66.0 115.3 .0 66.0 76.062 152 31 9 AAAA 379779 5318195 .0 .0 .0 .0 .0 .0 .0 .066 150 37 22 CBD .0 .0 .0 .0 .0 .0 .0 .066 150 37 27 CDA .0 .0 .0 .0 .0 .0 .0 .066 150 37 28 CBA .0 .0 .0 .0 .0 .0 .0 .066 150 37 27 CDA 37.2 409.6 158.4 18.9 246.6 259.2 217.2 159.766 150 37 28 DBA 14.8 31.7 .0 .0 .0 69.2 25.3 .066 150 37 28 DBA 44.2 82.9 .0 .0 123.6 5.5 .0 .066 150 37 28 DBA 47.7 47.9 .0 .0 160.9 479.3 143.3 .066 150 37 27 CAC .0 .0 .0 .0 2.9 .0 .0 .066 150 37 29 BBB .0 81.5 457.4 36.8 .0 .0 .0 70.066 150 37 33 AAB .0 .0 .0 .0 .0 .0 .0 .066 150 37 28 CBA 569.1 163.4 .0 171.5 150.0 195.0 380.0 439.062 154 30 10 D62 154 30 15 A12 140 37 1863 153 40 30 DD66 151 38 9 ABC .0 .0 .0 .0 .0 .0 .0 .066 151 38 9 DAA .0 .0 .0 .0 .0 .0 .0 .066 151 38 15 ADB .0 .0 .0 .0 .0 .0 .0 .066 151 38 15 ACC .0 .0 .0 .0 .0 .0 .0 .066 151 38 16 DAD .0 .0 .0 .0 .0 .0 .0 .066 151 38 21 AAA .0 .0 .0 .0 .0 .0 .0 .066 151 38 21 DDD .0 .0 .0 .0 .0 .0 .0 .066 151 38 21 BBB .0 .0 .0 .0 .0 .0 .0 .036 45 23 33 AAB .0 .0 .0 .0 .0 .0 .0 .063 152 39 7 CA63 152 39 7 CA62 149 35 4 .0 .0 .0 .0 .0 .0 .0 .013 131 36 4 AC8 143 28 17 CA7 146 32 4 DD .0 .0 .0 .0 .0 .0 .0 .062 153 31 1 CA11 136 28 2 A .0 .0 .0 .0 .0 .0 .0 .066 151 39 5 ABB 70.5 63.5 97.1 85.7 .0 .0 .0 28.975 160 28 36 BA62 151 31 32 DBBC 376982 5301171 6.5 16.0 .0 .0 6.5 .0 .0 .062 151 31 32 CDCB 376806 5300542 26.1 33.3 .0 .0 .0 .0 .0 45.666 150 37 28 ACD 89.6 700.1 152.3 211.0 101.3 122.6 609.6 199.266 150 37 32 BCC 69.9 54.5 19.1 24.0 147.0 34.9 33.3 56.966 150 37 28 ACD .0 .0 .0 .0 .0 .0 .0 .066 150 37 33 BCD 335.0 408.4 133.4 144.2 731.8 715.2 400.1 682.863 152 39 8 AA10 47 26 6 ADCB .0 .0 .0 .0 .0 .0 .0 .066 150 39 21 AA .0 .0 .0 .0 .0 .0 .0 .066 150 39 21 AB .0 .0 .0 .0 .0 .0 .0 .063 153 40 34 BC63 153 40 34 BC62 152 30 31 DAD .0 1.4 17.0 15.8 13.6 14.5 14.7 13.662 153 31 10 DBA 12.2 .0 16.6 11.1 15.2 .0 16.3 16.19 49 25 20 CC .0 .0 .0 .0 .0 .0 .0 .07 144 25 4 .0 .0 .0 .0 .0 .0 .0 .09 55 23 31 BD .0 .0 .0 .0 .0 .0 .0 .07 145 25 32 DCC .0 .0 .0 8.7 6.2 48.0 48.0 46.07 144 25 5 AAAC .0 .0 .0 .0 .0 .0 .0 .066 151 39 2 DDA .0 .0 .0 .0 .0 .0 .0 .066 151 39 2 DDA .0 .0 .0 .0 .0 .0 .0 .066 151 39 2 DDA .0 .0 .0 .0 .0 35.0 40.0 50.066 151 39 2 DDA .0 .0 .0 .0 .0 60.0 55.0 70.010 48 25 17 CB .0 .0 .0 .0 .0 .0 .0 .09 49 24 6 CBB 54.0 76.5 .0 90.4 .0 47.0 79.6 .0
Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003 use_2002 use_20019 49 24 6 CBB .0 .0 .0 .0 .0 .0 .0 .010 48 25 31 ADD .0 .0 .0 .0 .0 .0 .0 .078 158 31 15 BBD 129.9 138.3 93.0 127.1 115.4 100.0 117.3 155.810 49 25 36 C .0 .0 .0 .0 .0 .0 .0 .010 49 25 36 C .0 .0 .0 .0 .0 .0 .0 .09 55 25 11 CBDD 10.8 13.9 18.6 15.7 20.1 25.6 18.1 15.09 55 25 11 CBDD 9.9 15.5 22.7 7.5 26.5 23.4 .4 .09 55 25 11 CADB .0 .0 .0 .0 .0 .0 .0 .010 47 23 1 DBDB 485746 5158758 .0 .0 .0 .0 .0 .0 .0 .03 60 15 13 DD9 51 26 25 AA62 153 31 1 CA .0 .0 .0 .0 .0 .0 .0 .010 45 29 35 CC62 155 31 28 BA .0 .0 .0 .0 .0 .0 .0 .062 155 31 28 CA .0 .0 .0 .0 .0 .0 .0 .066 152 39 32 DDD .0 .0 .0 .0 .0 .0 .0 .066 152 39 32 DDD .0 .0 .0 .0 141.4 205.2 199.0 247.310 48 26 18 CDBB 447010 5165600 102.5 73.7 80.5 74.9 44.3 98.5 .0 95.566 151 38 36 BCA .0 .0 .0 .0 .0 .0 .0 .066 151 38 34 B .0 .0 .0 .0 .0 .0 .0 .066 151 38 36 BCD .0 .0 .0 .0 .0 .0 .0 .066 151 38 36 BCD .0 .0 .0 .0 .0 .0 .0 .066 150 38 2 .0 .0 .0 .0 .0 .0 .0 .066 151 38 34 C .0 .0 .0 .0 .0 .0 .0 .066 150 38 2 DDD .0 .0 .0 .0 .0 .0 .0 .066 151 38 6 DAD .0 .0 .0 .0 .0 .0 .0 .066 151 38 6 DBB .0 .0 .0 .0 .0 .0 .0 8.766 151 38 6 DAD 578.2 740.8 301.1 55.7 84.3 342.7 450.8 486.866 151 38 6 DAD 133.1 293.8 197.7 494.9 548.4 265.0 279.4 428.766 151 38 6 DAD 30.7 59.0 129.1 112.0 312.9 249.0 82.4 88.566 151 38 17 DDA .0 .0 .0 .0 .0 .0 .0 .066 151 39 2 C .0 .0 .0 .0 .0 .0 .0 .066 152 39 36 AA .0 .0 .0 .0 .0 .0 .0 .066 151 39 1 D .0 .0 .0 .0 .0 .0 .0 .066 151 39 1 A .0 .0 .0 .0 .0 .0 .0 .066 151 39 2 DBDB 305106 5311270 113.1 51.9 41.8 157.9 .0 .0 .0 .066 151 39 2 DBDA 305104 5311272 .0 444.2 133.1 48.5 .0 .0 .0 .066 151 39 2 CAAD 304705 5311418 7.8 361.0 107.4 25.0 385.2 342.9 249.9 313.866 151 39 1 DAAA 307100 5311314 156.5 346.1 22.6 273.2 133.4 161.7 9.8 102.966 151 39 1 DAAA 307100 5311314 156.5 346.1 22.6 273.2 133.4 161.7 9.8 102.966 151 39 1 DAAA 307087 5311281 71.5 74.5 .0 25.7 37.9 1.3 .0 6.766 152 39 36 AAAA 307161 5313716 36.6 25.7 33.0 31.2 .0 .0 .0 .066 152 39 36 DAAD 307127 5312829 .0 .0 .0 .0 .0 .0 .0 .066 151 39 2 DBA .0 .0 .0 .0 16.1 120.2 41.1 145.062 155 30 35 DAA .0 .0 .0 .0 .0 .0 .0 .062 155 30 35 D .0 .0 .0 .0 .0 .0 .0 .062 154 30 11 ADC .0 .0 .0 .0 .0 .0 .0 .066 151 39 3 BCA .0 .0 .0 .0 .0 .0 .0 .066 152 39 33 C .0 .0 .0 .0 99.4 .0 .0 .062 155 29 32 AAAA 397300 5340312 106.1 121.6 110.2 91.0 89.0 1.1 100.0 79.466 151 38 15 C66 151 38 26 DDD .0 .0 .0 .0 .0 .0 .0 .066 151 38 23 BCB .0 .0 .0 .0 .0 .0 .0 .066 151 38 26 DDC .0 .0 .0 .0 .0 .0 .0 .062 155 31 19 CC .0 .0 .0 .0 .0 .0 .0 .062 155 31 19 .0 .0 .0 .0 .0 .0 .0 .063 152 40 2 DC10 48 25 30 ABD .0 .0 .0 .0 .0 .0 .0 .010 48 25 30 ABD .0 .0 .0 .0 .0 .0 .0 .062 154 30 1 C .0 .0 .0 .0 .0 .0 .0 .062 155 30 31 BCC .0 .0 .0 .0 .0 .0 .0 .066 150 37 16 ABD66 150 39 21 BAD .0 .0 .0 .0 .0 .0 .0 .09 55 23 31 CD .0 .0 .0 .0 .0 .0 .0 .09 55 23 31 DBA62 154 29 30 A73 60 17 33 CC10 48 26 24 AACD .0 .0 .0 .0 .0 .0 .0 .09 49 25 10 ACD9 50 25 11 C10 48 26 18 AADB 42.8 33.5 43.5 23.2 47.5 66.9 64.9 .019 119 35 25 DAC .0 .0 .0 .0 .0 .0 .0 .063 152 40 10 AAA
Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003 use_2002 use_200110 48 25 11 ACCC 86.5 15.8 .0 .0 .0 .0 .0 .010 48 25 11 ABBB .0 25.2 .0 .0 .0 .0 .0 .010 48 26 28 CAA10 48 25 110 48 27 36 AAB .0 110.4 94.0 .0 .0 .0 163.9 76.062 155 30 17 DAD .0 .0 .0 .0 .0 .0 .0 .09 50 24 27 DD .0 .0 .0 .0 .0 .0 .0 .010 48 27 27 BAB 51.0 59.4 28.5 41.2 46.5 45.5 26.3 63.510 47 27 962 155 30 22 BAA 82.5 63.5 80.2 99.8 71.7 .0 93.0 96.910 48 26 15 DBCB .0 .0 .0 .0 .0 .0 .0 .010 48 26 9 BCB .0 .0 .0 .0 .0 .0 .0 .010 48 26 16 BBB .0 .0 .0 .0 .0 .0 .0 .010 48 26 16 BCC .0 .0 .0 .0 .0 .0 .0 .010 47 26 1 ACAA 218.2 274.3 110.2 153.4 252.7 220.3 239.8 132.410 47 26 1 ACAA .0 .0 .0 .0 .0 .0 .0 .010 47 26 1 ACAA .0 .0 .0 .0 .0 .0 .0 .062 152 32 11 CDDD 35.7 39.1 44.2 45.6 39.1 92.7 35.7 26.09 48 23 17 DAD 27.5 25.7 26.9 24.4 19.9 16.6 18.6 .062 155 31 19 CCC .0 .0 .0 .0 .0 .0 .0 .062 153 30 6 DDD 49.7 51.7 82.0 26.9 41.6 .0 42.8 44.762 153 30 6 AAA 3.3 .0 .0 .0 .0 .0 .0 .066 150 39 17 DDD 35.6 .0 .0 16.0 58.0 56.7 40.3 29.666 151 39 4 A .0 .0 .0 .0 .0 .0 .0 .066 151 39 4 ABB .0 .0 .0 .0 217.4 .0 323.5 274.166 151 39 4 ABB .0 .0 .0 .0 359.4 359.4 157.7 391.866 151 39 4 ABB .0 .0 .0 .0 .0 .0 .0 .066 151 39 3 DBAA 303416 5311529 .0 .0 .0 .0 .0 .0 .0 .066 152 39 32 DDDD 300692 5312555 34.2 220.6 62.3 227.1 .0 .0 .0 .066 151 39 3 BBCB 302414 5312174 .0 .0 .0 .0 .0 .0 .0 .066 151 39 3 BCAA 302660 5311932 293.2 325.0 .0 .0 .0 .0 .0 .066 151 39 4 ABBB 301569 5312461 149.1 305.3 142.0 258.5 .0 .0 .0 .066 151 39 4 ABBB 301569 5312461 167.8 514.6 563.1 377.9 .0 .0 .0 .066 152 39 33 DBCC 301624 5312870 68.3 95.7 86.8 97.6 .0 .0 .0 .062 153 31 2 DBA 40.3 40.7 59.7 .0 .0 .0 48.9 37.15 46 17 33 CAC .0 .0 .0 .0 .0 .0 .0 .08 143 28 18 DDAD8 144 28 34 BAD .0 .0 .0 .0 .0 .0 .0 .062 155 30 26 CCA62 155 30 26 CCA78 158 30 7 BBB 13.3 .0 .0 .0 .0 .0 .0 .078 158 30 19 BBCC 162.9 179.2 181.9 179.2 169.4 162.9 149.9 167.862 150 32 10 BBA66 152 39 32 DBB .0 .0 .0 .0 69.9 89.5 131.6 139.866 150 39 9 CCC 75.7 89.3 89.4 63.1 80.6 .0 .0 .062 152 31 9 DADD .0 .0 55.0 30.0 48.0 .0 16.0 .062 155 31 19 CBBB 375057 5343195 .0 .0 .0 10.0 .0 .0 31.0 26.062 150 32 22 AAC10 48 26 18 AAAA 32.5 33.3 34.5 31.5 29.3 32.3 32.6 .062 152 31 19 ADA .0 .0 .0 .0 .0 .0 .0 .066 151 39 3 DBA .0 .0 .0 .0 .0 35.0 30.0 30.062 155 30 27 CBB .0 .0 .0 .0 .0 .0 .0 .062 152 31 15 AAAA .0 70.0 95.0 5.0 .0 30.0 75.0 73.077 149 29 13 AAD .0 .0 .0 .0 .0 .0 .0 .010 48 25 19 CCC .0 .0 .0 .0 .0 .0 .0 .066 150 39 16 CCCD 300567 5298070 .0 69.9 69.9 75.0 75.0 90.0 90.0 40.066 150 39 16 BBBB 300404 529961262 155 32 36 ADA .0 .0 .0 .0 .0 .0 .0 .062 153 31 31 BBD .0 .0 .0 .0 .0 .0 .0 .066 150 39 13 AAD .0 .0 .0 .0 .0 .0 .0 .062 151 32 25 BDD .0 .0 .0 .0 .0 .0 .0 .062 153 30 13 C 42.0 21.2 23.4 29.7 41.7 .0 34.6 44.562 155 30 7 BBD .0 .0 .0 .0 .0 .0 .0 84.721 45 26 23 ABC62 154 29 22 ABC 16.0 16.0 16.0 16.0 16.0 16.0 16.0 15.010 48 25 19 DA .0 .0 .0 .0 .0 .0 .0 .08 143 28 17 CAA .0 .0 .0 .0 .0 .0 .0 .08 143 28 19 AAA51 103 37 9 ABC .0 .0 .0 .0 .0 .0 .0 .051 103 37 10 BBC .0 .0 .0 .0 .0 .0 .0 .062 155 30 28 DCC 7.3 .0 .0 .0 .0 .0 8.7 8.262 155 30 28 CAA 16.4 .0 .0 .0 .0 .0 .0 17.262 151 32 13 BBB
Watershed Twp Rng Section Sub Sect XUTM YUTM use_2008 use_2007 use_2006 use_2005 use_2004 use_2003 use_2002 use_200162 153 30 15 DDD 22.8 19.4 27.9 17.9 25.4 .0 22.8 24.462 154 30 10 ADA 43.4 45.4 40.8 15.2 32.0 47.2 48.5 51.062 154 30 10 ACB 4.8 2.1 5.1 .0 .0 .0 .0 .062 155 30 22 CAA62 155 30 35 ADD62 151 30 23 AAA 5.4 5.4 5.4 4.3 6.1 .0 4.3 3.962 151 29 30 BD 13.6 13.6 13.6 13.6 10.9 .0 6.5 8.710 48 26 25 ABA .0 .0 .0 .0 .0 .0 .0 .010 48 26 23 CDA .0 .0 .0 .0 .0 .0 .0 .09 50 23 27 DDC62 155 30 27 BAA .0 .0 9.1 20.8 .0 .0 16.7 9.010 48 25 11 C .0 .0 .0 .0 .0 .0 .0 .09 141 25 29 CCA .0 .0 .0 .0 .0 .0 .0 .066 150 39 22 AC .0 .0 .0 .0 .0 .0 .0 .066 150 39 24 DAA .0 .0 .0 .0 .0 .0 .0 .066 150 39 24 DAA .0 .0 .0 .0 .0 .0 .0 .03 57 15 18 BAA10 48 27 33 AAAA 36.5 .0 37.4 .0 31.3 .0 31.5 25.122 122 46 12 ABA .0 .0 .0 .0 .0 .0 .0 .066 150 39 1 CBD .0 .0 .0 .0 .0 .0 .0 .010 44 31 34 DDC 49.0 39.0 .0 .0 5.2 .0 .0 .010 44 31 35 CDD .0 .0 .0 1.9 .0 .0 .0 .010 43 31 2 ABD .0 .0 .0 .0 2.8 3.9 .0 .08 144 28 34 BDA .0 .0 .0 .0 .0 .0 .0 .066 150 37 33 CBDA 15.0 31.5 18.6 .0 .0 .0 .0 36.066 150 37 33 CCAD 319833 5292762 17.3 16.4 34.2 29.5 54.7 51.7 33.4 9.066 150 39 14 CDD .0 .0 .0 .0 .0 .0 .0 .066 150 39 1 DDD .0 .0 .0 .0 .0 .0 .0 .065 155 39 27 CCD .0 .0 .0 .0 .0 .0 .0 .066 152 40 36 AAA .0 .0 .0 .0 144.9 36.5 123.0 237.366 152 40 25 BDC .0 .0 .0 .0 .0 .0 .0 .065 155 39 19 CCC 40.3 20.2 28.8 20.2 20.2 66.2 66.2 66.265 155 39 30 AAB .0 .0 .0 .0 .0 .0 .0 .066 152 40 36 AAA .0 .0 .0 .0 217.1 235.8 388.6 351.266 152 39 32 CDCC 299539 5312616 .0 .0 .0 28.9 .0 .0 .0 .066 152 40 25 BCCB 296114 5315278 308.7 205.1 .0 .0 .0 .0 .0 .066 152 40 25 CABB 296532 5315096 368.6 .0 127.6 180.8 .0 .0 .0 .066 152 40 36 AADA 297644 5314053 111.4 203.7 .0 .0 .0 .0 .0 .065 155 40 25 ABA .0 .0 .0 .0 .0 .0 .0 .065 155 40 25 ABA .0 .0 .0 .0 .0 .0 .0 .062 154 29 30 ADDD 395603 5331507 33.4 40.0 11.0 49.9 46.6 32.6 46.6 34.99 50 24 32 CCC .0 15.0 .0 90.0 .0 .0 .0 .09 50 24 29 CBB 40.0 44.0 .0 .0 .0 .0 .0 .09 50 24 29 ABA .0 18.0 93.0 149.0 .0 .0 .0 .09 50 24 28 BBB .0 .0 .0 .0 .0 .0 .0 .09 50 24 28 ABB .0 .0 .0 .0 .0 .0 .0 .09 50 24 34 BACB 471477 5180874 293.0 301.0 327.0 .0 .0 .0 .0 .062 155 30 21 BAA .0 13.3 65.7 .0 .0 .0 .0 .062 155 30 21 BBA 369.5 13.3 .0 .0 .0 .0 .0 .062 155 30 20 ADA .0 41.4 .0 .0 .0 .0 .0 .062 155 30 20 DAA .0 .0 .0 .0 .0 .0 .0 .062 155 30 21 BBB .0 32.7 .0 .0 .0 .0 .0 .0
use_2000 use_1999 use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_198834.4 33.6 47.2 .0 .0 .0 34.0 32.0 29.0 28.5 30.0 35.0 35.0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 86.2 63.9 50.5 59.2 62.4 16.0 40.9 63.5 98.8 81.5 34.1 81.8
.0 8.0 16.0 5.6 3.0 20.8 17.0 40.3 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 4.0 .0 .0 .0 .0 5.4 15.0 35.0 35.7 8.1 35.5
.0 .0 4.0 .0 .0 .0 14.0 9.2 .0 .0 .0 0.0 .0
.0 42.9 4.0 38.5 35.0 22.8 20.0 9.8 .0 .0 .0 0.0 .022.5 .0 21.0 23.0 .0 .0 17.0 18.0 21.0 16.0 12.0 21.0 40.4.0 .0 .0 .0 22.0 23.0 22.0 22.0 22.0 7.0 8.0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 .0 28.8 56.5 48.0 48.0 48.0 48.010.0 45.0 21.0 7.0 60.0 16.0 15.0 25.0 38.0 17.0 18.0 26.0 4.025.4 20.2 37.4 17.2 2.9 74.0 72.0 59.0 37.4 19.0 20.0 8.6 20.078.5 .0 41.0 36.7 .0 8.6 .0 .0 .0 .0 .0 0.0 .0.0 .0 98.0 48.2 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 4.3 10.6 13.0 9.8 .0 14.9 .0.0 97.2 66.4 96.3 130.0 .0 .0 51.6 100.4 42.1 439.9 195.5 .0
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63.0 4.3 66.1 10.8 52.9 51.0 75.6 60.4 .0 .0 17.1 82.4 .0.0 173.9 297.8 141.8 125.1 .0 240.8 261.7 249.3 120.2 146.1 262.5 155.3.0 9.6 127.2 135.6 128.3 .0 73.1 101.4 130.6 259.2 196.1 153.3 347.8
25.0 53.0 .0 .0 .0 .0 28.0 51.0 20.0 12.0 55.0 29.3 .0
152.3 149.5 165.7 79.0 121.8 .0 102.0 97.7 .0 .0 .0 0.0 .0109.6 170.3 154.2 165.4 143.3 118.3 .0 17.6 97.7 93.6 93.6 93.6 85.1
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use_2000 use_1999 use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_198884.9 52.1 88.4 92.7 90.1 91.9 78.1 81.9 86.4 90.9 74.9 72.9 70.6.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 33.0 26.1 40.0 40.0 24.4 17.3 31.3 40.7 23.3 25.0 14.7
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205.8 285.8 294.3 242.9 114.2 150.7 210.7 147.4 257.0 .0 .0 0.0 .018.9 .0 36.1 .0 .0 .0 .0 .0 44.6 .0 .0 0.0 .045.0 .0 42.6 .0 .0 .0 .0 34.5 549.6 .0 .0 0.0 .0
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307.7 390.0 301.2 290.0 410.0 407.3 240.0 195.8 .0 .0 .0 0.0 .0
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.0 45.7 40.6 44.0 48.9 49.0 100.0 .0 .0 .0 70.0 87.8 3.0
.0 45.7 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0235.3 134.9 545.6 303.5 .0 250.9 31.5 73.0 279.3 166.8 324.3 69.1 111.625.4 57.3 156.4 102.3 61.8 68.0 80.7 46.4 49.8 .0 .0 0.0 .0.0 .0 625.6 474.2 328.7 .0 .0 .0 .0 .0 .0 0.0 .0
711.2 1,089.2 .0 .0 .0 611.6 726.1 418.3 448.5 412.6 434.1 966.4 .0
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use_2000 use_1999 use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_1988.0 .0 .0 .0 .0 .0 100.0 .0 .0 .0 13.0 30.5 24.5.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
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6.7 11.3 4.6 9.9 8.9 16.1 19.9 9.4 22.6 .0 .0 0.0 24.77.8 .0 17.5 9.0 12.0 6.1 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
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.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 29.7 19.3
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 25.4 0.0 26.3
.0 115.7 .0 .0 .0 .0 .0 .0 .0 110.0 137.0 102.2 100.8141.0 .0 146.2 240.0 148.3 192.5 168.1 100.0 137.4 .0 .0 0.0 .0105.3 108.3 .0 89.5 83.5 .0 99.5 99.5 66.5 81.5 99.0 75.0 136.5
.0 .0 .0 .0 .0 .0 .0 .0 13.2 368.0 420.8 503.0 .5
.0 .0 .0 .0 .0 .0 .0 .0 2.6 .0 .0 0.0 .0
.0 369.4 369.4 375.8 316.9 431.2 339.7 513.5 .0 .0 .0 0.0 .0
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.0 .0 .0 .0 .0 .0 .0 .0 387.1 292.3 517.1 309.3 387.8
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.0 .0 .0 .0 .0 .0 378.8 272.2 456.2 306.0 354.3 305.7 313.6
.0 .0 .0 .0 .0 .0 104.0 155.2 180.6 170.5 121.8 82.0 80.3
.0 .0 .0 .0 .0 .0 254.3 341.7 367.1 186.5 38.4 48.1 192.6
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
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use_2000 use_1999 use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_1988.0 .0 .0 .0 .0 .0 .0 .0 52.1 22.0 35.8 65.2 54.3.0 .0 .0 .0 .0 .0 .0 .0 52.1 22.0 35.8 65.2 54.3
.0 40.8 136.6 147.2 48.7 165.7 150.1 115.4 .0 .0 243.0 142.0 237.6
.0 .0 .0 .0 .0 13.5 27.0 27.0 27.0 26.1 .0 0.0 3.398.7 99.6 99.2 98.7 97.2 98.8 95.9 95.9 97.9 94.1 99.4 116.3 95.574.4 75.6 78.5 75.5 .0 78.3 .0 75.0 70.0 67.2 32.0 48.0 80.0
.0 41.3 43.4 44.0 46.2 34.3 33.9 47.0 42.4 21.7 19.6 14.8 .0
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290.1 307.6 213.5 233.0 152.2 278.7 252.6 254.2 262.2 .0 .0 0.0 .0.0 249.9 92.8 220.8 224.7 133.3 160.1 187.0 138.3 .0 .0 0.0 .0
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.0 44.0 34.5 .0 27.1 32.5 .0 30.0 28.0 40.7 64.5 36.0 60.0
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.0 .0 .0 .0 .0 .0 5.3 4.9 7.6 6.0 5.6 0.0 .0
.0 78.0 78.0 76.0 75.0 65.0 60.0 59.0 42.0 47.0 72.5 45.6 50.0
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16.0 .0 14.0 .0 .0 16.0 15.0 15.6 13.0 10.4 10.4 16.3 5.2.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 20.0
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.0 .0 13.9 .0 22.2 6.5 9.8 .0 6.5 .0 6.0 8.6 .0
.0 24.5 .0 23.5 .0 .0 .0 12.8 13.1 6.5 .0 0.0 .0
use_2000 use_1999 use_1998 use_1997 use_1996 use_1995 use_1994 use_1993 use_1992 use_1991 use_1990 use_1989 use_198831.0 31.0 29.3 35.2 47.2 52.1 23.1 28.5 18.4 6.0 3.3 4.9 .038.3 53.6 53.6 28.8 35.1 48.5 31.5 .0 62.7 54.3 25.5 62.4 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.4 7.0 .0 9.0 7.0 7.6 .0 .0 .0 7.0 7.0 6.9 .013.6 16.6 16.0 .0 16.0 19.0 16.6 16.6 .0 16.6 16.6 16.3 16.3.0 .0 48.9 40.7 44.2 .0 .0 52.2 42.8 50.4 37.2 37.2 44.7.0 .0 .0 14.2 .0 .0 .0 7.0 7.9 10.7 5.1 8.0 7.8
9.8 6.6 14.7 7.8 .0 .0 .0 12.8 6.5 6.5 6.0 10.5 5.7.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 14.0 12.0 12.0 12.0 25.0 25.0 25.0 16.3 25.0 0.0 .0.0 12.0 .0 .0 12.0 12.0 70.0 70.0 70.0 29.6 50.0 0.0 .0.0 12.0 .0 .0 .0 12.0 25.0 25.0 25.0 14.7 25.0 0.0 .0
.0 34.1 36.2 35.5 .0 36.5 34.0 32.0 30.5 30.1 37.0 0.0 37.0
.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
.0 .0 .0 .0 .0 .0 26.0 26.0 1.7 .0 .0 0.0 .0
.0 6.0 7.0 27.0 20.0 19.0 .0 3.4 3.4 .0 .0 0.0 .0
.0 18.3 12.0 11.0 7.0 7.0 .0 3.0 3.0 .0 .0 0.0 .0
.0 3.0 .0 .0 .0 .0 3.9 3.0 5.5 3.5 .0 0.0 .0
.0 .0 .0 .0 .0 .0 3.8 16.7 34.1 .0 .0 0.0 .0
.0 20.0 12.0 20.0 22.0 5.1 5.8 20.9 .0 .0 .0 0.0 .048.2 15.8 23.2 7.5 .0 16.3 20.6 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 22.8 22.8 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 25.0 25.0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
286.0 .0 .0 28.3 46.9 .0 .0 .0 .0 .0 .0 0.0 .0.0 185.8 192.5 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
40.3 5.8 40.6 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
548.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
21.6 36.6 66.5 66.5 66.5 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0.0 .0 .0 .0 .0 .0 .0 .0 .0 .0 .0 0.0 .0
Notes
Appendix E - d. Minnesota Department of Natural Resources Codes
Appropriation Permit Index Notes
MN-DNR Water Appropriation permits are required for withdrawalsgreater than 10,000 gallons per day or one million gallons per year.
The permit index shows each installation of all active permits.Use, agricultural acreage, permitted pumping rate (GPM) and permitted volume (MGY) are repeated for each installation, but pertain to the permit as a whole.
Blank values mean no reported pumping.
Resource Codes
Resource Codes
1 Ground Water2 Lake3 Stream/River4 Ditch5 Dug Pit6 Quarry/Gravel Pit7 Wetland
Page 2Page 2
Status Codes
Status Codes
1 Active2 Standby3 Abandoned4 Terminated
Fee Status Codes
E Exempt from FeesN Non-Profit
Page 3Page 3
Use Codes
DNR Water Appropriation Use Codes
WATERWORKS WATER LEVEL MAINTENANCE211 Municipal 261 Basin (lake) level212 Private waterworks 262 Mine dewatering
(trailer courts, small housing units) 263 Quarry dewatering213 Commercial and Institutional 264 Sand/gravel pit dewatering
(business, industry, hospital) 265 Tile drainage and pumped sumps214 Cooperative waterworks 266 Dewatering215 Fire protection 269 Water level maintenance216 Campgrounds, waysides, highway rest areas217 Rural Water Districts SPECIAL CATEGORIES219 Waterworks 271 Pollution containment
272 Aquaculture (hatcheries, fisheries)POWER GENERATION 273 Snow making
221 Hydropower 274 Peat fire control222 Steam power cooling-once through 275 Livestock watering223 Steam power cooling-wet tower 276 Pipeline and tank testing224 Steam power cooling-ponds 277 Sewage treatment225 Steam power other than cooling 279 Special Categories226 Nuclear power plant229 Power generation NON-CROP IRRIGATION
281 Golf courseAIR CONDITIONING 282 Cemetery
231 Commercial building A/C 283 Landscaping232 Institutions (school, hospital) 284 Sod farms233 Heat pumps 285 Nursery234 Coolant pumps 286 Orchard235 District heating 289 Non-crop irrigation239 Once-through heating or A/C238 Air conditioning MAJOR CROP IRRIGATION
290 Major crop irrigationINDUSTRIAL 296 Wild rice irrigation
241 A i l l i (f d & li k)
Page 4
241 Agricultural processing (food & livestock)242 Pulp and paper processing243 Mine processing (not sand & gravel washing)244 Sand and gravel washing245 Industrial process cooling once-through246 Petroleum-chemical processing, ethanol247 Metal processing248 Non-metallic processing (rubber, plastic, glass)249 Industrial processing
TEMPORARY251 Construction (non-dewatering)252 Construction (dewatering)253 Pipeline & tank testing254 Landscape watering255 Pollution containment256 Water level maintenance257 Livestock waste treatment258 Temporary ag irrigation259 Temporary
Page 4
County Codes
County Codes1 Aitkin 52 Nicollet2 Anoka 53 Nobles3 Becker 54 Norman4 Beltrami 55 Olmsted5 Benton 56 Otter Tail6 Big Stone 57 Pennington7 Blue Earth 58 Pine8 Brown 59 Pipestone9 Carlton 60 Polk
10 Carver 61 Pope11 Cass 62 Ramsey12 Chippewa 63 Red Lake13 Chisago 64 Redwood14 Clay 65 Renville15 Clearwater 66 Rice16 Cook 67 Rock17 Cottonwood 68 Roseau18 Crow Wing 69 St. Louis19 Dakota 70 Scott20 Dodge 71 Sherburne21 Douglas 72 Sibley22 Faribault 73 Stearns23 Fillmore 74 Steele24 Freeborn 75 Stevens25 Goodhue 76 Swift26 Grant 77 Todd27 Hennepin 78 Traverse28 Houston 79 Wabasha29 Hubbard 80 Wadena
Page 5
30 Isanti 81 Waseca31 Itasca 82 Washington32 Jackson 83 Watonwan33 Kanabec 84 Wilkin34 Kandiyohi 85 Winona35 Kittson 86 Wright36 Koochiching 87 Yellow Medicine37 Lac Qui Parle38 Lake39 Lake of the Woods40 LeSueur41 Lincoln42 Lyon43 McLeod44 Mahnomen45 Marshall46 Martin47 Meeker48 Mille Lacs49 Morrison50 Mower51 Murray
Page 5
Crop Codes
Crop Code Crop Type10 Specialty11 Berries12 Vegetables13 Experimental Plots14 Flowers15 Melons20 Canning21 Sweet Corn22 Beans (snap)23 Peas30 Row Crops31 Corn (field, seed, popcorn)32 Potatoes33 Sugar Beets34 Soybeans35 Sunflowers36 Dried Beans40 Field Crops41 Wheat42 Other Small Grains43 Alfalfa44 Pasture45 Ground Cover80 Non-crop irrigation81 Golf Course82 Cemetary83 Landscaping ( parks, lawns )84 Sod (turf)85 Nursery
Page 6
y86 Orchard96 Wild Rice
Page 6