A Model for the Optimal Allocation of Water Resources in a Saltwater Intrusion Area: A Case Study in Pearl River Delta in China

被引:70
|
作者
Liu, Dedi [1 ]
Chen, Xiaohong [2 ]
Lou, Zhanghua [1 ]
机构
[1] Zhejiang Univ, Inst Hydrol & Water Resources, Hangzhou 310058, Zhejiang, Peoples R China
[2] Sun Yat Sen Univ, Ctr Water Resource & Environm, Guangzhou 510275, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Water allocation; Saltwater intrusion; BP artificial neural network; Genetic algorithms; Pearl River Delta; GENETIC ALGORITHM; DEFICIT IRRIGATION; OPTIMIZATION; MANAGEMENT; SEARCH; DESIGN;
D O I
10.1007/s11269-009-9437-y
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper presents a model for the optimal allocation of water resources in saltwater intrusion areas. The model is comprised of four modules: a joint operation of river and reservoirs module (JORRM), a saltwater intrusion analysis module (SIAM), an economic analysis and in-stream ecology demand module (EAIEDM) and a water allocation module (WAM). Considering the social, economic and environmental aspects, the model has three objectives: the maximization of economic interest (OF (1)), maximization of social satisfaction (OF (2)) and the minimization of the amounts of polluted water (OF (3)). A genetic algorithm is also employed to optimize the module. The model has then been applied to a case study of optimization of water resources for the Pearl River Delta in China. The results indicate that there is water shortage in Pearl River Delta and engineering projects are needed to satisfy water demand during the dry season when saltwater intrusion happens. The model provides a useful tool for the operation of reservoirs and freshwater allocation in saltwater intrusion area.
引用
收藏
页码:63 / 81
页数:19
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