Respectively, Agricultural Engineer and Associate Research Scientist, Texas Agricultural Experiment Station, Blackland Research Center, 808 East Blackland Road, Temple, Texas 76502; and Associate Professor, Department of Agricultural Engineering, Purdue University, 1146 AGEN, West Lafayette, Indiana 47907–1146.
A SPATIAL DECISION SUPPORT SYSTEM FOR ASSESSING AGRICULTURAL NONPOINT SOURCE POLLUTION1
Version of Record online: 8 JUN 2007
JAWRA Journal of the American Water Resources Association
Volume 30, Issue 3, pages 441–452, June 1994
How to Cite
Srinivasan, R. and Engel, B. A. (1994), A SPATIAL DECISION SUPPORT SYSTEM FOR ASSESSING AGRICULTURAL NONPOINT SOURCE POLLUTION. JAWRA Journal of the American Water Resources Association, 30: 441–452. doi: 10.1111/j.1752-1688.1994.tb03303.x
Paper No. 93107 of the Water Resources Bulletin. Discussions are open until February 1, 1995.
- Issue online: 8 JUN 2007
- Version of Record online: 8 JUN 2007
- distributed nonpoint source pollution modeling;
- decision support-system;
- Universal Soil Loss Equation;
ABSTRACT: A spatial decision support system (SDSS) was developed to assess agricultural nonpoint source (NPS) pollution using an NPS pollution model and geographic information systems (GIS). With minimal user interaction, the SDSS assists with extracting the input parameters for a distributed parameter NPS pollution model from user-supplied GIS base layers. Thus, significant amounts of time, labor, and expertise can be saved. Further, the SDSS assists with visualizing and analyzing the output of the NPS pollution simulations. Capabilities of the visualization component include displays of sediment, nutrient, and runoff movement from a watershed. The input and output interface techniques/algorithms used to develop the SDSS, along with an example application of the SDSS, are described.