Development and Evaluation of an Agricultural
Chemical Fate Modeling System Using GIS

College of Natural Resources, University of Wisconsin Stevens Point
February 21, 2001

Mission

The goal of this project is to develop and evaluate a coupled system made up of a Geographic Information System (GIS) and an agricultural chemical simulation model.  This system is intended to provide the ability to spatially model runoff and leaching of agricultural chemicals such as pesticides and nitrogen.  This tool would provide a robust capability for modeling potential future impacts to surface and groundwater from agricultural activity. 

Project Summary

Two graduate students at the University of Wisconsin Stevens Point have developed a system that couples together an agricultural chemical simulation model with ArcView, which is a popular GIS software package. This system couples ESRI’s ArcView 3.2 and a created Visual Basic software package with a popular chemical fate model called Pesticide Root Zone Model (PRZM3) for spatial modeling of pesticide and nitrate movement. The system includes the development of graphical user interfaces (GUI) using Visual Basic to simplify the entering of model input data as well as for linking to chemical, crop, and soil databases. The users can run a single simulation for site-specific research or multiple simulations to conduct research on a regional scale. We call this part of the system Visual PRZM3.

Visual PRZM3 is then coupled with ArcView to form an extension called ArcPRZM3, which provides an efficient way of simulating agricultural chemical fate at various scales. Customized tools in ArcView have been developed for deriving spatially dependent variables from soils, digital elevation models (DEM), and land cover themes. The soil database is produced from the Soil Survey Geographic Database (SSURGO).  Graphical user interfaces and tools have been developed using Avenue programming in ArcView. These interfaces and tools allow for simple processing of model outputs and subsequent representation in the form of tables, charts, and maps.

Arc PRZM3 is currently in its beta version and is under review by users from several agencies.  Any other potentially interested parties are welcome to contact any of the researchers who are listed below.  The software, documentation, and example data can be provided. 

Research

One graduate student at UWSP is using Arc PRZM3 to predict pesticides contamination for the ground water in the Arkansas Delta. The Mississippi Delta Region of eastern Arkansas (the Arkansas Delta) is one of most famous regions of United States for agricultural production. Due to its high agricultural production, fertilizers and pesticides are used extensively, which has posed a potential threat to ground water in that region. The simulation results from Arc PRZM3 will be compared with the well data for pesticides and nitrates. This application will help us to check the capability and accuracy of the system.

A second student is using the system to make predictions of nitrate and pesticide leaching for several sites at an agricultural research station in Columbia County, Wisconsin.  Simulations will be carried out using SSURGO data and detailed site-specific soil data.  The simulation results will be compared with one and another and to actual leaching data that was collected in 1997-98.  This comparison will give us a good idea of how useful the SSURGO database and the Arc PRZM3 system will be for conducting vulnerability assessments in regards to contamination by agricultural chemicals.  A vulnerability assessment for Dane County, Wisconsin will also be carried out using ArcPRZM3. 

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Contact Information

Dr. Hangsheng Lin,
Associate Professor of Soils and GIS
College of Natural Resources
Stevens Point, Wisconsin
54481-3897

hlin@uwsp.edu
715-346-4187

Tahir Ali Akbar ,
Graduate Student
College of Natural Resources
Stevens Point, Wisconsin
54481-3897

Takba972@uwsp.edu

John DeGroote,
Graduate Student
College of Natural Resources
Stevens Point, Wisconsin
54481-3897

Jdegr088@uwsp.edu

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