A Fuzzy Simulation-Based Optimization Approach for Groundwater Remediation Design at Contaminated Aquifers. (28th February 2012)

• Record Type: Journal Article
• Authors: Yang, A. L.; Huang, G. H.; Fan, Y. R.; Zhang, X. D.
• Other Names: Jiang J. Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2012(2012)
• Publication Date: 2012-02-28
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2012/986867
• Languages: English
• ISSNs: 1024-123X

Abstract

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.