A Fuzzy Adaptive Partitioning Algorithm (FAPA) for Global Optimization: Implementation in Environmental Site Characterization

Abstract

Environmental site investigations are carried out prior to the reclamation of industrially contaminated sites. It is required to take samples and analyze the laboratory reports to find out the distribution of contaminants over the site. In this study it is proposed to modify and implement the global optimization method, Fuzzy Adaptive Partitioning Algorithm (FAPA), in order to identify the topology of polluted areas in a given industrial site. The primary objective is to locate contaminated zones accurately and to reduce the size of the area that is subjected to expensive sampling methods (such as deep drilling). A secondary objective is to decrease the number of samples taken during a quick screening that is carried out as a preliminary investigation. If these objectives are achieved, a considerable cost reduction occurs in the process of site characterization.

This research is part of the project PURE-EVK1-1999-00153: Protection of Groundwater Resources at Industrially Contaminated Sites under EU 5^th Framework R&D Program.