FUZZY UNCERTAINTY BASED DESIGN OF GROUNDWATER QUALITY MONITORING NETWORKS

A fuzzy logic based framework is proposed for optimal design of groundwater quality monitoring networks under uncertainty. Spatiotemporal concentration values are considered as fuzzy numbers. Fuzzy kriging based concentration estimation algorithm is incorporated within the decision model formulation. Monitoring network design methodology incorporating fuzzy mass estimation error and spatial coverage of the designed network is developed. Multiobjective evolutionary algorithm is utilized for solving the monitoring network design model. Performance of the proposed methodology is evaluated for a hypothetical illustrative system. Evaluation results indicate that the proposed methodology perform satisfactorily under uncertain system conditions. These performance evaluation results demonstrate the potential applicability of the proposed methodology.

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