A Multiobjective Optimisation Model for Groundwater Remediation Design at Petroleum Contaminated Sites

Q. Yang, L. He () and H. Lu

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2013, vol. 27, issue 7, 2427 pages

Abstract: This study proposes a fuzzy multi-objective model for groundwater remediation in petroleum-contaminated aquifers. The optimisation system is designed based on the PAT technology, and includes two objectives (i.e. total pumping rate and average post-remedial contaminant concentration). The relationship between pumping rates and contamination concentrations at all monitoring wells after remediation are determined by a proxy model, which integrates simulation, inference, and optimisation technologies and is composed of intercept, linear, interactive, and quadratic options. Fuzzy algorithms are used to solve the formulated multi-objective optimisation problem to find optimal solutions. The model is then applied to a petroleum-contaminated aquifer in western Canada. The trade-off and λ analyses of the results indicate that the fuzzy multi-objective model has great potential in groundwater remediation applications as it can: (1) provide reliable groundwater remediation strategies, (2) reduce computational costs in the optimization processes, and (3) balance the trade-off between remediation costs and remediation outcomes. Copyright Springer Science+Business Media Dordrecht 2013

Keywords: Optimisation; Multi-objective; Groundwater remediation; Fuzzy; Petroleum contaminants (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/s11269-013-0294-3

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