predicting water use in urban residential...
TRANSCRIPT
![Page 1: Predicting Water Use in Urban Residential Landscapesriogrande.tamu.edu/reports/2003/2003-216/sr2003-216.pdfR. D. Havlak, R. H. White, D. R. Chalmers, W. A. Mackay, J. C. Thomas During](https://reader034.vdocument.in/reader034/viewer/2022050600/5fa88437f9bad13ea431c0ef/html5/thumbnails/1.jpg)
Predicting Water Use Predicting Water Use in Urban Residential in Urban Residential
LandscapesLandscapes
R. D. Havlak, R. H. White, D. R. Chalmers, W. A. Mackay,J. C. Thomas
![Page 2: Predicting Water Use in Urban Residential Landscapesriogrande.tamu.edu/reports/2003/2003-216/sr2003-216.pdfR. D. Havlak, R. H. White, D. R. Chalmers, W. A. Mackay, J. C. Thomas During](https://reader034.vdocument.in/reader034/viewer/2022050600/5fa88437f9bad13ea431c0ef/html5/thumbnails/2.jpg)
During the summer, it is estimated that 25 During the summer, it is estimated that 25 to 60 % of the water used by residential to 60 % of the water used by residential customers is applied to the landscape.customers is applied to the landscape.
![Page 3: Predicting Water Use in Urban Residential Landscapesriogrande.tamu.edu/reports/2003/2003-216/sr2003-216.pdfR. D. Havlak, R. H. White, D. R. Chalmers, W. A. Mackay, J. C. Thomas During](https://reader034.vdocument.in/reader034/viewer/2022050600/5fa88437f9bad13ea431c0ef/html5/thumbnails/3.jpg)
9478
6250
3429
196
4
0 10 20 30 40 50 60 70 80 90 100
Percentage
Act
ivit
y
Aeration
Soil testing
Disease Control
Dethatching
Clippings removal
Weed Control
Insect Control
Fertilizer
Irrigation
Texas Single Family Home LawnsTexas Single Family Home LawnsMaintenance PracticesMaintenance Practices
Source: The Economic Impact of the Texas Turfgrass IndustrySource: The Economic Impact of the Texas Turfgrass Industry
![Page 4: Predicting Water Use in Urban Residential Landscapesriogrande.tamu.edu/reports/2003/2003-216/sr2003-216.pdfR. D. Havlak, R. H. White, D. R. Chalmers, W. A. Mackay, J. C. Thomas During](https://reader034.vdocument.in/reader034/viewer/2022050600/5fa88437f9bad13ea431c0ef/html5/thumbnails/4.jpg)
Take a Look at theTake a Look at the“Whole Landscape”“Whole Landscape”
üü In urban landscapes, irrigation In urban landscapes, irrigation requirements have been determined for requirements have been determined for turfgrasses but turfgrasses but notnot for most landscape for most landscape species. (Costello et al, 2000)species. (Costello et al, 2000)
üü Evidence that homeowner irrigation Evidence that homeowner irrigation practices did practices did notnot change substantially with change substantially with changes in landscape design. changes in landscape design. (Peterson et al, 1999)(Peterson et al, 1999)
![Page 5: Predicting Water Use in Urban Residential Landscapesriogrande.tamu.edu/reports/2003/2003-216/sr2003-216.pdfR. D. Havlak, R. H. White, D. R. Chalmers, W. A. Mackay, J. C. Thomas During](https://reader034.vdocument.in/reader034/viewer/2022050600/5fa88437f9bad13ea431c0ef/html5/thumbnails/5.jpg)
PROGRAM GOALS
• To Replace water-thirsty turf with trees and shrubs • To save time by installing low maintenance shrubs and mulch• To choose the right plant for the right place• To reduce future demand on the water utility and create
beautiful, drought tolerant landscapes.
Austin, Texas
WaterWise Landscape Rebate Program
![Page 6: Predicting Water Use in Urban Residential Landscapesriogrande.tamu.edu/reports/2003/2003-216/sr2003-216.pdfR. D. Havlak, R. H. White, D. R. Chalmers, W. A. Mackay, J. C. Thomas During](https://reader034.vdocument.in/reader034/viewer/2022050600/5fa88437f9bad13ea431c0ef/html5/thumbnails/6.jpg)
Do Trees and Shrubs Do Trees and Shrubs Influence Water Use?Influence Water Use?
üü In typical clayIn typical clay--loam soils, most tree roots loam soils, most tree roots are usually located less than 8 to 12 are usually located less than 8 to 12 inches below the surface and grow inches below the surface and grow outward far beyond the branch tips of the outward far beyond the branch tips of the tree. (Perry, 1982)tree. (Perry, 1982)
üü Does actual landscape water use change Does actual landscape water use change substantially when trees and shrubs are substantially when trees and shrubs are added? Does actual homeowner water added? Does actual homeowner water use change?use change?
![Page 7: Predicting Water Use in Urban Residential Landscapesriogrande.tamu.edu/reports/2003/2003-216/sr2003-216.pdfR. D. Havlak, R. H. White, D. R. Chalmers, W. A. Mackay, J. C. Thomas During](https://reader034.vdocument.in/reader034/viewer/2022050600/5fa88437f9bad13ea431c0ef/html5/thumbnails/7.jpg)
![Page 8: Predicting Water Use in Urban Residential Landscapesriogrande.tamu.edu/reports/2003/2003-216/sr2003-216.pdfR. D. Havlak, R. H. White, D. R. Chalmers, W. A. Mackay, J. C. Thomas During](https://reader034.vdocument.in/reader034/viewer/2022050600/5fa88437f9bad13ea431c0ef/html5/thumbnails/8.jpg)
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MONTHMONTH
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Bermuda/RyegrassBermuda/Ryegrass
MesquiteMesquite
OakOak
WillowWillowF
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Devitt et al. 1995Devitt et al. 1995
J. of Turfgrass Management 1:47J. of Turfgrass Management 1:47--6262
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Research ObjectivesResearch Objectives
1.1. Determine if correlations exist for water Determine if correlations exist for water use between 6 landscape speciesuse between 6 landscape species
2.2. Identify water use patterns for a Identify water use patterns for a landscape and its plant componentslandscape and its plant components
3.3. Compare daily water use versus Compare daily water use versus potential evapotranspiration for a multiple potential evapotranspiration for a multiple plant species landscapeplant species landscape
![Page 10: Predicting Water Use in Urban Residential Landscapesriogrande.tamu.edu/reports/2003/2003-216/sr2003-216.pdfR. D. Havlak, R. H. White, D. R. Chalmers, W. A. Mackay, J. C. Thomas During](https://reader034.vdocument.in/reader034/viewer/2022050600/5fa88437f9bad13ea431c0ef/html5/thumbnails/10.jpg)
Research Objectives (cont.)Research Objectives (cont.)
4.4. Establish seasonal water use coefficients Establish seasonal water use coefficients for a landscape and its plant componentsfor a landscape and its plant components
5.5. Evaluate actual water use between xeric Evaluate actual water use between xeric and mesic landscapes, trained and and mesic landscapes, trained and untrained homeowners, and 2 untrained homeowners, and 2 –– 5, 5, 8 8 –– 12, and 20+ year old landscapes 12, and 20+ year old landscapes
![Page 11: Predicting Water Use in Urban Residential Landscapesriogrande.tamu.edu/reports/2003/2003-216/sr2003-216.pdfR. D. Havlak, R. H. White, D. R. Chalmers, W. A. Mackay, J. C. Thomas During](https://reader034.vdocument.in/reader034/viewer/2022050600/5fa88437f9bad13ea431c0ef/html5/thumbnails/11.jpg)
Research LocationsResearch Locations
Brazos County
Hidalgo County
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ResearchResearchMaterials and MethodsMaterials and Methods
1.1. Texas Texas ELITEELITE ProgramProgram””EEfficient fficient LLandscape andscape IIrrigation rrigation TThrough hrough EEducation”ducation”
•• Collaborative effort with Hidalgo Co. CEACollaborative effort with Hidalgo Co. CEA--Hort and Master Gardener volunteersHort and Master Gardener volunteers
•• Evaluating actual water use by trained vs. Evaluating actual water use by trained vs. untrained homeowners with xeric and untrained homeowners with xeric and mesic landscape typesmesic landscape types
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ResearchResearchMaterials and MethodsMaterials and Methods
1.1. Texas Texas ELITEELITE Program (cont.)Program (cont.)””EEfficient fficient LLandscape andscape IIrrigation rrigation TThrough hrough EEducation”ducation”
Twelve (12) LandscapesTwelve (12) Landscapes
6 xeric landscapes and 6 mesic landscapes6 xeric landscapes and 6 mesic landscapes
3 response unit sites (trained)3 response unit sites (trained)3 standard practice sites (untrained) 3 standard practice sites (untrained)
![Page 14: Predicting Water Use in Urban Residential Landscapesriogrande.tamu.edu/reports/2003/2003-216/sr2003-216.pdfR. D. Havlak, R. H. White, D. R. Chalmers, W. A. Mackay, J. C. Thomas During](https://reader034.vdocument.in/reader034/viewer/2022050600/5fa88437f9bad13ea431c0ef/html5/thumbnails/14.jpg)
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ResearchResearchMaterials and MethodsMaterials and Methods
2.2. Effects of Landscape Maturity on Effects of Landscape Maturity on Homeowner Water UseHomeowner Water Use
•• Collaborative effort with City of College Collaborative effort with City of College Station Station -- Water Conservation personnelWater Conservation personnel
•• Evaluate 1997 Evaluate 1997 -- 2002 water use data2002 water use dataüü 2 2 –– 5 year old landscapes5 year old landscapesüü 8 8 –– 12 year old landscapes12 year old landscapesüü 20+ year old landscapes20+ year old landscapes
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0
5
10
15
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40
1 2 3 4 5 6 7 8 9 10 11 12
MONTH
WA
TER
US
E (
1000
gal
lons
)
0
5
10
15
20
25
30
35
40
PE
T (
1000
gal
lon
s) 2 - 5
8 - 12
20+
PET
Water Use Data Comparisons for 2-5, 8-12,and 20+ Year Old Landscapes (2000)
(Based on a 7000 sq. ft. landscapeand a 0.6 landscape coefficient)
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ResearchResearchMaterials and MethodsMaterials and Methods
3.3. Rainfall Interception by Tree CanopiesRainfall Interception by Tree Canopies
•• 3 Post Oak and 3 Live Oak trees3 Post Oak and 3 Live Oak treesüü 6 rainfall gauges randomly placed 6 rainfall gauges randomly placed
beneath canopybeneath canopyüü Data collected and gauges randomly Data collected and gauges randomly
rearranged after each rainfall eventrearranged after each rainfall eventüü 3 rainfall gauges in non3 rainfall gauges in non--canopy areascanopy areas
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ResearchResearchMaterials and MethodsMaterials and Methods
4.4. Soil Water Dynamics in a Landscape Soil Water Dynamics in a Landscape With Multiple Vegetation TypesWith Multiple Vegetation Types•• Location: Weslaco Ext. & Res. CenterLocation: Weslaco Ext. & Res. Center•• Soil type: Willacy fine sandy loam Soil type: Willacy fine sandy loam •• Nov. 2002: Installed 192 ECHO volumetric Nov. 2002: Installed 192 ECHO volumetric
soil moisture sensorssoil moisture sensorsØØ 64 sensor locations64 sensor locations——3 sensors/location3 sensors/locationüü 0” 0” –– 8” depth8” depth (A) (A) üü 8” 8” –– 16” depth16” depth (B)(B)üü 16” 16” –– 24” depth24” depth (C)(C)
![Page 20: Predicting Water Use in Urban Residential Landscapesriogrande.tamu.edu/reports/2003/2003-216/sr2003-216.pdfR. D. Havlak, R. H. White, D. R. Chalmers, W. A. Mackay, J. C. Thomas During](https://reader034.vdocument.in/reader034/viewer/2022050600/5fa88437f9bad13ea431c0ef/html5/thumbnails/20.jpg)
Landscape Vegetation Types Landscape Vegetation Types EvaluatedEvaluated
üü Mature Walnut Tree/St. AugustinegrassMature Walnut Tree/St. Augustinegrass–– Measurements from 10’, 20’, and 30’ from Measurements from 10’, 20’, and 30’ from
the base of the treethe base of the tree
üü Crepe Myrtles/St. AugustinegrassCrepe Myrtles/St. Augustinegrassüü St. AugustinegrassSt. Augustinegrassüü Rose BushesRose Bushesüü Ficus HedgeFicus Hedgeüü Dwarf Yaupon HedgeDwarf Yaupon Hedge
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ResearchResearchMaterials and MethodsMaterials and Methods
Data Collection and AnalysisData Collection and Analysis
•• Daily soil water content (inches)Daily soil water content (inches)•• Daily soil water loss (inches)Daily soil water loss (inches)
--Soil depths = A, B, C, A+B, B+C, TotalSoil depths = A, B, C, A+B, B+C, Total--LLcc values = actual ET/potential ETvalues = actual ET/potential ET
•• Daily PET and rainfall data collected from Daily PET and rainfall data collected from nearby weather stationnearby weather station
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Sensor Response to a 1.0" Rainfall Event
15
20
25
30
35
0 800 1600 2400
Time (Hours)
Vo
lum
etri
c W
ater
C
on
ten
t (%
)
Sensor #40Measurements
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Sensor Response to Soil Moisture Fluctuations
2424.224.424.624.8
2525.225.425.625.8
26
0 8 16 24 32 40 48
Time (Hours)
Vo
lum
etri
c W
ater
C
on
ten
t (%
) Sensor #30Measurements
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Total Increase in Soil Moisture vs.
Daily Rainfall
-1.5-1
-0.50
0.51
1.5
35 45 55 65 75
Time (Days)
So
il W
ater
L
oss
/Gai
n (I
nch
es)
LandscapeRainfall
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Total Soil Water Loss vs. Potential Evapotranspiration (PET)
0
0.05
0.1
0.15
0.2
89 90 91 92 93 94 95 96 97
Time (Days)
So
il W
ater
Lo
ss (I
nch
es)
TR-10
TR-20
TR-30
SA
Landscape
PET
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Total Daily Water Loss Compared to PET (Between Rainfall Events)
May 2 - May 14
0.00
0.05
0.10
0.15
0.20
0.25
0.30
122 124 126 128 130 132 134
Time (Days)
So
il W
ater
Lo
ss (I
nch
es)
TR-10
TR-20
TR-30
SA
PET
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Total Daily Water Loss Compared to PET (Between Rainfall Events)
June 8 - June 13
0.00
0.05
0.10
0.15
0.20
0.25
0.30
159 160 161 162 163 164 165
Time (Days)
So
il W
ater
Lo
ss (
Inch
es)
TR-10
TR-20
TR-30
SA
PET
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Soil Water Loss by Depth for St. Augustinegrass (June 8-13)
0
0.05
0.1
0.15
0.2
0.25
0.3
159 160 161 162 163 164 165
Time (Days)
So
il W
ater
Lo
ss (I
nch
es)
0"-8"
8"-16"
16"-24"
Total
PET
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Soil Water Loss by Depth for Tree-30 (June 8-13)
0
0.05
0.1
0.15
0.2
0.25
0.3
159 160 161 162 163 164 165
Time (Days)
So
il W
ater
Lo
ss (
Inch
es)
0"-8"
8"-16"
16"-24"
Total
PET
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Total Daily Water Loss Compared to PET (Between Rainfall Events)
June 8 - June 13
0
0.05
0.1
0.15
0.2
0.25
0.3
159 160 161 162 163 164 165
Time (Days)
Soi
l Wat
er L
oss
(Inc
hes)
FI
DY
RB
CM
PET
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Landscape Coefficient Compared to PET(May 31 - June 13)
00.10.20.30.40.50.60.70.80.9
1
1 3 5 7 9 11 13
Time (Days)
PE
T (
Inch
es)
Lc
(Per
cen
t)
Lc
PET
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Weekly Summation of Soil Water Loss
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
1.60
1.80
0.00 5.00 10.00 15.00 20.00 25.00
Time (Weeks)
So
il W
ater
Lo
ss (I
nch
es)
Landscape
PET
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Monthly Summation of Soil Water Loss(February and March)
0
0.5
1
1.5
2
2.5
3
3.5
February March
Time (Months)
So
il W
ater
Lo
ss (
Inch
es)
TR-10TR-20
TR-30SAFI
DYRBCM
LandscapePET
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Monthly Summation of Soil Water Loss(April and May)
00.5
11.5
22.5
33.5
44.5
55.5
April May
Time (Months)
So
il W
ater
Lo
ss (
Inch
es)
TR-10
TR-20
TR-30
SA
FI
DY
RB
CM
Landscape
PET
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April 12, 2003April 12, 2003
Total Actual ETTotal Actual ET
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April 12, 2003April 12, 2003
Actual ET 4Actual ET 4--6 pm6 pm
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June 8, 2003Total ET
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June 9, 2003Total ET
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June 10, 2003Total ET
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June 11, 2003Total ET
![Page 45: Predicting Water Use in Urban Residential Landscapesriogrande.tamu.edu/reports/2003/2003-216/sr2003-216.pdfR. D. Havlak, R. H. White, D. R. Chalmers, W. A. Mackay, J. C. Thomas During](https://reader034.vdocument.in/reader034/viewer/2022050600/5fa88437f9bad13ea431c0ef/html5/thumbnails/45.jpg)
June 12, 2003Total ET
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June 13, 2003Total ET
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AcknowledgementsAcknowledgements
Funding:Funding:
üü USDAUSDA--Cooperative State Research, Cooperative State Research, Education, and Extension ServiceEducation, and Extension Service
--Rio Grande Basin Initiative Rio Grande Basin Initiative üü Texas Water Resource InstituteTexas Water Resource Instituteüü Texas Texas TurfgrassTurfgrass AssociationAssociation
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AcknowledgementsAcknowledgements
Collaborations:Collaborations:
üü Weslaco Ext. and Res. Center personnelWeslaco Ext. and Res. Center personnelüü Hidalgo Co. Master Gardener volunteersHidalgo Co. Master Gardener volunteersüü Hidalgo Co. CEAHidalgo Co. CEA--HortHort (Barbara (Barbara StorzStorz))üü City of College Station personnelCity of College Station personnelüü TurfgrassTurfgrass Staff Staff –– Texas A&M UniversityTexas A&M University