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January 19, 2004USDA Conesus Lake Project GIS Modeling of Source Areas of Agricultural Nonpoint Source Pollution James Zollweg, Ph.D. SUNY-Brockport Earth Sciences Water Resources Program
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January 19, 2004USDA Conesus Lake Project Overview Nature/history of modeling work Philosophy of this approach Sand Point Gully study area Goals
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January 19, 2004USDA Conesus Lake Project Runoff and Soil Moisture Modeling with SMR Variable Source Area Hydrology Critical Source Areas for Nonpoint Source Pollution
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January 19, 2004USDA Conesus Lake Project Runoff and Soil Moisture Modeling with SMR SMR – The Soil Moisture Routing Model GIS is the Ideal Environmental Modeling Platform Spatially-distributed, Physically-based
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January 19, 2004USDA Conesus Lake Project 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)
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January 19, 2004USDA Conesus Lake Project Brown Watershed – Tributary of WD38, Klingerstown, PA
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January 19, 2004USDA Conesus Lake Project Relationship Between Soil Test P and Dissolved P in Runoff From: Daniel, et al. (1994)
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January 19, 2004USDA Conesus Lake Project UTM Northing UTM Easting P LOSS - 4/25/92
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January 19, 2004USDA Conesus Lake Project Overview Nature/history of modeling work Philosophy of this approach Sand Point Gully study area Goals
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January 19, 2004USDA Conesus Lake Project Pertinent GIS features preserves physical meaning throughout allows internal validation provides visualization of input data and model results “integrates” point processes to watershed scale flexible/modifiable/adaptable
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January 19, 2004USDA Conesus Lake Project FIELD STUDIES COMPUTER MODELING
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January 19, 2004USDA Conesus Lake Project SMR Phosphorous Transport Nitrogen Transport Streamflow Saturated Areas integrated nutrient management design hydrology Regulatory agencies, Extension agencies, Farm managers Action agencies, Consulting engineers
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January 19, 2004USDA Conesus Lake Project Overview Nature/history of modeling work Philosophy of this approach Sand Point Gully study area Goals
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January 19, 2004USDA Conesus Lake Project
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January 19, 2004USDA Conesus Lake Project
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January 19, 2004USDA Conesus Lake Project
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January 19, 2004USDA Conesus Lake Project Field Verification of Soil Moisture Status
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January 19, 2004USDA Conesus Lake Project Suggests SOF, SOF w/erosion, and subsurface stormflow
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January 19, 2004USDA Conesus Lake Project Erosion Model (Rose, 1999)
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January 19, 2004USDA Conesus Lake Project Slope Topographic Accumulation Erosion Model Dietrich (1992)
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January 19, 2004USDA Conesus Lake Project Overview Nature/history of modeling work Philosophy of this approach Sand Point Gully study area Goals
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January 19, 2004USDA Conesus Lake Project Goals Correctly model streamflow Verify soil moisture distribution 7 years worth of improvements and enhancements Correctly model water quality characteristics Soil erosion + sediment modules complete Investigate use of QPF as a WQ management tool Results in time for grant re-submission
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