publication . Article . Other literature type . 2018

Identification of Groundwater Pollution Sources by a SCE-UA Algorithm-Based Simulation/Optimization Model

Huang, Linxian; Wang, Lichun; Zhang, Yongyong; Xing, Liting; Hao, Qichen; Xiao, Yong; Yang, Lizhi; Zhu, Henghua;
Open Access
  • Published: 11 Feb 2018 Journal: Water, volume 10, page 193 (eissn: 2073-4441, Copyright policy)
  • Publisher: MDPI AG
Abstract
Prevention and remediation strategies for groundwater pollution can be successfully carried out if the location, concentration, and release history of contaminants can be accurately identified. This, however, presents a challenge due to complex groundwater systems. To address this issue, a simulation-optimization (S/O) model by integrating MODFLOW and MT3DMS into a shuffled complex evolution (SCE-UA) optimization algorithm was proposed; this coupled model can identify the unknown groundwater pollution source characteristics. Moreover, the Grids Traversal algorithm was used for automatically searching all possible combinations of pollution source location. The pe...
Subjects
free text keywords: Geography, Planning and Development, Aquatic Science, Biochemistry, Water Science and Technology, Environmental remediation, Observational error, Groundwater, Artificial neural network, Pollution, media_common.quotation_subject, media_common, Algorithm, Geology, MODFLOW, Computer simulation, Groundwater pollution, inverse problem, SCE-UA, S/O model, Grids Traversal algorithm, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500
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publication . Article . Other literature type . 2018

Identification of Groundwater Pollution Sources by a SCE-UA Algorithm-Based Simulation/Optimization Model

Huang, Linxian; Wang, Lichun; Zhang, Yongyong; Xing, Liting; Hao, Qichen; Xiao, Yong; Yang, Lizhi; Zhu, Henghua;