Can Ground Water Sampling Strategies Be Improved by Incorporating Fuzzy Logic in a Gis?

Contamination of ground water is a major concern for citizens as well as local, state, and federal agencies that are involved with the management, quality and quantity of water and human health. However, the generation of vulnerability maps or delineations of vulnerable zones in a map for monitoring purposes are difficult since ground water contamination depends upon numerous, complex interacting parameters with inherent spatial and temporal uncertainty. Therefore, development of an affordable but reliable technique to generate a ground water vulnerability map at the watershed or county scale will be a useful ground water management tool. Environmental managers could use this tool to prioritize and guide sampling strategies.