gis modeling of source areas of agricultural nonpoint source pollution
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January 19, 2004 USDA Conesus Lake Project
GIS Modeling of Source Areas of Agricultural Nonpoint Source
Pollution
GIS Modeling of Source Areas of Agricultural Nonpoint Source
Pollution
James Zollweg, Ph.D.SUNY-Brockport Earth Sciences
Water Resources Program
January 19, 2004 USDA Conesus Lake Project
OverviewOverviewNature/history of modeling workPhilosophy of this approachSand Point Gully study area Goals
January 19, 2004 USDA Conesus Lake Project
Runoff and Soil Moisture Modeling with SMR
Runoff and Soil Moisture Modeling with SMR
Variable Source Area Hydrology
Critical Source Areas for Nonpoint Source Pollution
January 19, 2004 USDA Conesus Lake Project
Runoff and Soil Moisture Modeling with SMR
Runoff and Soil Moisture Modeling with SMR
SMR – The Soil Moisture Routing Model
GIS is the Ideal Environmental Modeling Platform
Spatially-distributed, Physically-based
January 19, 2004 USDA Conesus Lake Project
Runoff and Soil Moisture Modeling with SMR
Runoff and Soil Moisture Modeling with SMR
Coded and Running in Lennon Hall Using Visual BASIC within ArcGIS 8.2
Complete Control of Code
Easy to Integrate Additional Environmental Modeling Concepts
Private Function HM_NeighborFlow(sStorage As String, _ pInterflowRaster As IRaster, ierr As Integer) As Boolean '----------------------------------------------------------------------------- ' The storage is adjusted for the amount leaving, the interflow and the amount ' entering from neighbor cells. The maps north, northeast, east, southeast, ' south, southwest, west and northwest represent the fraction of flow heading ' in 'that' direction from the current cell. Therefore to find the amount ' entering the current cell one needs to look at the neighbor cells and the ' corresponding maps which point to the current cell. For example, if the ' current cell is (i,j) and one looks to the north (i-1,j) one would use the ' south map to get the fraction of flow since the current cell is south of its ' north neighbor. ' --------------------------------------------------------------- ' | cell: (i-1, j-1) | cell: (i-1, j) | cell: (i-1, j+1) | ' | map: southeast | map: south | map: southwest | ' --------------------------------------------------------------- ' | cell: (i-1, j) | cell: (i, j) | cell: (i+1, j+1) | ' | map: east | map: none | map: west | ' --------------------------------------------------------------- ' | cell: (i+1, j-1) | cell: (i+1, j) | cell: (i+1, j+1) | ' | map: northeast | map: north | map: northwest | ' ---------------------------------------------------------------
(148 pages of code)
January 19, 2004 USDA Conesus Lake Project
Relationship Between Soil Test P and Dissolved P in Runoff
From: Daniel, et al. (1994)
0 10 20 30 40 50SOIL TEST P (kg P/ha)
0.0
0.2
0.4
0.6
DIS
SO
LV
ED
P (
mg
/L)
Land Use
Cropped
Grassed
(top 1 cm of soil)
January 19, 2004 USDA Conesus Lake Project
OverviewOverviewNature/history of modeling workPhilosophy of this approachSand Point Gully study area Goals
January 19, 2004 USDA Conesus Lake Project
Pertinent GIS featurespreserves physical meaning throughoutallows internal validationprovides visualization of input data and model results“integrates” point processes to watershed scaleflexible/modifiable/adaptable
January 19, 2004 USDA Conesus Lake Project
SMR
PhosphorousTransport
NitrogenTransport
StreamflowSaturated
Areas
integrated nutrient
management
design hydrology
Regulatory agencies, Extension agencies, Farm managers
Action agencies, Consulting engineers
January 19, 2004 USDA Conesus Lake Project
OverviewOverviewNature/history of modeling workPhilosophy of this approachSand Point Gully study area Goals
January 19, 2004 USDA Conesus Lake Project
Slope
Top
ogra
ph
ic A
ccu
mu
lati
onT
opog
rap
hic
Acc
um
ula
tion
Erosion Model
Dietrich (1992)
January 19, 2004 USDA Conesus Lake Project
OverviewOverviewNature/history of modeling workPhilosophy of this approachSand Point Gully study area Goals
January 19, 2004 USDA Conesus Lake Project
GoalsCorrectly model streamflow
Verify soil moisture distribution7 years worth of improvements and enhancements
Correctly model water quality characteristicsSoil erosion + sediment modules completeInvestigate use of QPF as a WQ management toolResults in time for grant re-submission
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