A coupled simulation-optimization approach for groundwater remediation design under uncertainty: An application to a petroleum-contaminated site |
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| Authors: | L He GH Huang HW Lu |
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| Institution: | 1. Department of Civil Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada;2. Faculty of Engineering, University of Regina, Regina, SK S4S 0A2, Canada;3. Chinese Research Academy of Environmental Science, North China Electric Power University, Beijing 100012-102206, China;4. Faculty of Engineering, University of Regina, Regina, SK S4S 0A2, Canada;1. Department of Chemical Engineering, Rovira i Virgili University, Tarragona 43007, Spain;2. Sonny Astani Department of Civil and Environmental Engineering, University of Southern California, Los Angeles 90089, CA, USA;3. Hydrogeology Group, Department of Geotechnical Engineering and Geosciences, University Politècnica de Catalunya-BarcelonaTech, Barcelona 08034, Spain;1. Department of Civil and Environmental Engineering, University of California, Los Angeles, CA, 90095, USA;2. Tianjin Key Laboratory of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China;3. Brook Byers Institute for Sustainable Systems, School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA;1. Civil and Environmental Engineering Faculty, Tarbiat Modares University, PO Box 14115-397, Tehran, Iran;2. Department of Water Resources Engineering, Tarbiat Modares University, PO Box 14115-336, Tehran, Iran;1. State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, PR China;2. Beijing Key Laboratory of Water Resources and Environmental Engineering, China University of Geosciences, Beijing 100083, PR China;3. Research Institute of Safety and Environment Technology, China National Petroleum Corporation, Beijing 102206, PR China;4. Department of Civil and Architectural Engineering, University of Wyoming, Laramie, WY 82071, USA;5. Advanced Environmental Technologies LLC., Fort Collins, CO 80525, USA;1. Key Laboratory of Surficial Geochemistry, Ministry of Education, Department of Hydrosciences, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210093, China;2. Key Laboratory of Earth Fissures Geological Disaster, Ministry of Land and Resources, Geological Survey of Jiangsu Province, Nanjing 210018, China;3. Department of Geological Sciences, University of Alabama, Tuscaloosa, AL 35487, USA;4. PKU Center for Water Research, Peking University, Beijing 100871, China |
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| Abstract: | This study provides a coupled simulation–optimization approach for optimal design of petroleum-contaminated groundwater remediation under uncertainty. Compared to the previous approaches, it has the advantages of: (1) addressing the stochasticity of the modeling parameters in simulating the flow and transport of NAPLs in groundwater, (2) providing a direct and response-rapid bridge between remediation strategies (pumping rates) and remediation performance (contaminant concentrations) through the created proxy models, (3) alleviating the computational cost in searching for optimal solutions, and (4) giving confidence levels for the obtained optimal remediation strategies. The approach is applied to a practical site in Canada for demonstrating its performance. The results show that mitigating the effects of uncertainty on optimal remediation strategies (through enhancing the confidence level) would lead to the rise of remediation cost due to the increase in the total pumping rate. |
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