Abstract
The concept of visualization in hydrologic modeling is discussed. A concept for integrating a knowledge-based system for analyzing simulation results is introduced. Visualization and expert, computer-based analysis when combined together produces a powerful tool for spatial data analysis and decision support. An application of such an integrated system in the context of nonpoint source (NPS) pollution control has been discussed to demonstrate these concepts. After a simulated implementation of the BMP recommendations, about 40 percent of the reduction in the area contributing above threshold limits (5 t/ac/yr) while 60 percent reduction in terms of volume of soil was observed over the watershed, for given rainfall conditions. The system provides an unique opportunity to evaluate and visualize the effects of alternative management practices used for erosion control. It was found that with appropriate land management, about at least a 40 percent reduction in the area exceeding the threshold can be obtained for rainfall ranging from 0.5 to 5 inches. A methodology for addressing nutrient management has been developed as well. Although the domain specific nature of the system limits the alternatives assessed, the system addresses the need for GIS based data analysis and interpretation, and also generates an optimum best management practices (BMPS) map for NPS pollution control.
Mohite, Mahendra P. (1993). Knowledge-based modeling using GIS: nonpoint source pollution application. Master's thesis, Texas A&M University. Available electronically from
https : / /hdl .handle .net /1969 .1 /ETD -TAMU -1993 -THESIS -M6974.