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

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

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.

Suggested Citation

  • A. L. Yang & G. H. Huang & Y. R. Fan & X. D. Zhang, 2012. "A Fuzzy Simulation-Based Optimization Approach for Groundwater Remediation Design at Contaminated Aquifers," Mathematical Problems in Engineering, Hindawi, vol. 2012, pages 1-13, February.
    • Handle: RePEc:hin:jnlmpe:986867
    DOI: 10.1155/2012/986867
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    Cited by:

    1. An, Da & Xi, Beidou & Ren, Jingzheng & Wang, Yue & Jia, Xiaoping & He, Chang & Li, Zhiwei, 2017. "Sustainability assessment of groundwater remediation technologies based on multi-criteria decision making method," Resources, Conservation & Recycling, Elsevier, vol. 119(C), pages 36-46.

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