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Identification of optimal water transfer schemes for restoration of a eutrophic lake: An integrated simulation-optimization method
Dai, C. ; Tan, Q. ; Lu, W. T. ; Liu, Y. ; Guo, H. C.
刊名ECOLOGICAL ENGINEERING
2016
关键词EFDC Trophic state index Simulation-optimization Support vector regression Genetic algorithm Water transfer GENETIC ALGORITHM MODELING APPROACH SOUTHWEST CHINA TROPHIC STATE ERHAI LAKE QUALITY RIVER REGRESSION RESPONSES DIANCHI
DOI10.1016/j.ecoleng.2016.06.080
英文摘要This research developed an integrated simulation-optimization method (ISOM). This model incorporated eutrophication modeling, water resource allocation and trophic status assessment within a general modeling framework. In ISOM, the simulation effort [i.e. environmental fluid dynamics code (EFDC)] was used to forecast the concentration of water quality variables to evaluate the lake trophic status under various conditions, while the optimization studies were used to identify the optimal water transfer strategies from a number of alternatives. To solve the model, a surrogate-based genetic algorithm (GA) was proposed in which the support vector regression (SVR) was used to create a set of easy-to-use and rapid-response surrogates for identifying the functional relationships between water transfer and lake trophic status. By replacing the EFDC and the corresponding trophic state index (TSI) equations with the surrogates, the computation efficiency could be improved. The developed ISOM was applied to the inter-basin water transfer management of the Niulanjiang-Dianchi Water Transfer Project (NDWTP) to support the eutrophication restoration of Lake Dianchi. Optimal water transfer schemes for three different remediation durations were generated from the model. The results demonstrated that NDWTP could exert a positive influence on the ecology and environment of Lake Dianchi, and that the trophic level for the Lake Dianchi could be effectively mitigated through the adoption of optimal water transfer schemes. (C) 2016 Elsevier B.V. All rights reserved.; Major Science and Technology Program for Water Pollution Control and Treatment of China [2013ZX07102-006]; National Natural Science Foundation of China [41222002]; Collaborative Innovation Center for Regional Environmental Quality; SCI(E); EI; ARTICLE; daichao321@gmail.com; qian_tan@cau.edu.cn; luwt@pku.edu.cn; lyong@umich.edu; hcguo@pku.edu.cn; 409-421; 95
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/449997]  
专题环境科学与工程学院
推荐引用方式
GB/T 7714
Dai, C.,Tan, Q.,Lu, W. T.,et al. Identification of optimal water transfer schemes for restoration of a eutrophic lake: An integrated simulation-optimization method[J]. ECOLOGICAL ENGINEERING,2016.
APA Dai, C.,Tan, Q.,Lu, W. T.,Liu, Y.,&Guo, H. C..(2016).Identification of optimal water transfer schemes for restoration of a eutrophic lake: An integrated simulation-optimization method.ECOLOGICAL ENGINEERING.
MLA Dai, C.,et al."Identification of optimal water transfer schemes for restoration of a eutrophic lake: An integrated simulation-optimization method".ECOLOGICAL ENGINEERING (2016).
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