DECISION MAKING USING FUZZY SETS FOR OPTIMAL WATER QUALITY MANAGEMENT

摘要

This paper presents a fuzzy sets-based framework to determine an optimal wasteloadrnallocation among contributing sources to meet dissolved oxygen (DO) standards for arnreceiving water. The framework consists of a water quality simulation model (FDOM)rnlinked to a multi-objective optimization procedure (FLOWLAP). The investigationrndemonstrates that fuzzy sets can effectively represent uncertainties encountered inrnthe modeling and optimization process. Water quality model results are validated withrnoutput from the EPA model, QUAL2E. The optimization procedure is illustrated in anrnexample involving a river system receiving pollutant loadings from both point andrnnonpoint sources. This technique can be used to obtain cost-effective solutions tornwater quality management problems by incorporating significant sources ofrnuncertainty in the decision-making process. Fuzzy set techniques are combined withrna trade-off analysis to address the uncertainty-optimization issue. The frameworkrnevaluates uncertainty in the modeling and optimization process to identify a most costeffectivernmanagement strategy.