A Fuzzy Simulation-Based Optimization Approach for Groundwater Remediation Design at Contaminated Aquifers

A. L. Yang, G. H. Huang, Y. R. Fan and X. D. Zhang

Mathematical Problems in Engineering, 2012, vol. 2012, 1-13

Abstract:

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.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:986867

DOI: 10.1155/2012/986867

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