Application of AI Techniques for Identification of Unknown Groundwater Pollution Sources

A new methodology for the identification of unknown sources of groundwater pollution is developed. This methodology is based on the concept of statistical pattern recognition using Bayes’ Optimal Decision Rule. The function of the pattern recognition system is to match statistically an observed set of concentrations in the field with a comparable set obtained by simulating groundwater transport for various disposal conditions. In order to make the application of this methodology easier, an Expert System (ES) was developed. The performance of the pattern recognition system and the ES was evaluated for a selected area.