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 James Zollweg, Ph.D. SUNY-Brockport Earth Sciences Water Resources Program

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GIS Modeling of Source Areas of Agricultural Nonpoint Source Pollution. James Zollweg, Ph.D. SUNY-Brockport Earth Sciences Water Resources Program. Overview. Nature/history of modeling work Philosophy of this approach Sand Point Gully study area Goals. - PowerPoint PPT Presentation

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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

Brown Watershed – Tributary of WD38, Klingerstown, PA

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)

USDA Conesus Lake ProjectJanuary 19, 2004

UTM Northing UTM Easting

P LOSS - 4/25/92

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

FIELDSTUDIES

COMPUTER MODELING

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

January 19, 2004 USDA Conesus Lake Project

January 19, 2004 USDA Conesus Lake Project

January 19, 2004 USDA Conesus Lake Project

Field Verification of Soil Moisture Status

January 19, 2004 USDA Conesus Lake Project

Suggests SOF, SOF w/erosion, and subsurface stormflow

January 19, 2004 USDA Conesus Lake Project

Erosion Model (Rose, 1999)

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