A Fuzzy Simulation-Based Optimization Approach for Groundwater Remediation Design at Contaminated Aquifers
نویسندگان
چکیده
A fuzzy simulation-based optimization approach FSOA is developed for identifying optimal design of a benzene-contaminated groundwater remediation system under uncertainty. FSOA integrates remediation processes i.e., biodegradation and pump-and-treat , fuzzy simulation, and fuzzy-mean-value-based optimization technique into a general management framework. This approach offers the advantages of 1 considering an integrated remediation alternative, 2 handling simulation and optimization problems under uncertainty, and 3 providing a direct linkage between remediation strategies and remediation performance through proxy models. The results demonstrate that optimal remediation alternatives can be obtained to mitigate benzene concentration to satisfy environmental standards with a minimum system cost.
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