Author(s)

B. Dixon

Abstract

Modeling ground-water vulnerability reliably and cost effectively from nonpoint source pollution at a regional scale remains a major challenge. In recent years, Geographic Information Systems (GIS), neural networks and fuzzy logic techniques have been used in several hydrological studies; however, very few of these research studies undertook an extensive sensitivity analysis. Therefore, the overall objective of this research was to examine the sensitivity of neuro-fuzzy models in a spatial context by integrating GIS and neuro-fuzzy techniques. The specific objective was to assess the sensitivity of neuro-fuzzy models by varying input parameters to the models. The research reports a case study of Woodruff County, located in the Mississippi Delta part of Arkansas, US. This

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