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• W2179663693 abstract "AbstractAquifers are one of the main water supply resources for drinking, agricultural, and industrial purposes. Therefore, it is crucial to study and evaluate different remediation methodologies that can be used to enhance the quality of groundwater. In situ bioremediation is one of the most efficient and cost-effective cleanup methodologies to treat groundwater pollution. This methodology relies on the microorganisms of a contaminated aquifer to treat polluted groundwater. This paper presents a multiobjective simulation-optimization (S-O) model to achieve the best in situ bioremediation system design for a groundwater with contaminated dissolved hydrocarbons. Minimizing the design and operational costs along with the sum of squared cleanup standard violations (SCSV) are the two main objectives of this study. The results of optimization are presented in the form of Pareto possibility frontiers. A model from the literature and a nondominated sorting genetic algorithm are used for groundwater simulation an..." @default.
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• W2179663693 date "2016-04-01" @default.
• W2179663693 modified "2023-10-16" @default.
• W2179663693 title "Optimal In Situ Bioremediation Design of Groundwater Contaminated with Dissolved Petroleum Hydrocarbons" @default.
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• W2179663693 doi "https://doi.org/10.1061/(asce)hz.2153-5515.0000304" @default.
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