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

作者：Liu, Dedi^*; Chen, Xiaohong; Lou, Zhanghua

来源：Water Resources Management, 2010, 24(1): 63-81.

DOI：10.1007/s11269-009-9437-y

• Water allocation
• Saltwater intrusion
• BP artificial neural network
• Genetic algorithms
• Pearl River Delta

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.

• 出版日期2010-1
• 单位中山大学; 浙江大学