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Optimal allocation of water quantity and waste load in the Northwest Pearl River Delta, China

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Abstract

The Northwest Pearl River Delta is one of the most developed areas in China and has faced serious water problems because of its fast economic growth, urbanisation and other developments. It is widely believed that an integrated management of the socio-economic factors cross individual administrative cities is an effective way to solve the water problems. To serve this purpose, this paper aims to develop an integrated model for the optimal allocation of water quantity and waste load. In order to consider the interaction between water quantity and waste load allocation, the Saint-Venant equations were used to simulate dynamic water flow for the water quantity allocation, whereas the one dimensional advection–dispersion mass transport equation was used to simulate water quality for the waste load allocation. In addition to the maximisation of the economic benefits, which is often considered as an objective of optimal water resource allocation models, the minimisation of water shortages and maximisation of waste load were also introduced as objectives of the model. To solve the multi-objective allocation model, a second generation non-dominated sorting genetic algorithm was employed because of its computational efficiency and running time. The results indicate that it is a serious task to reduce the COD in the Northwest Pearl River Delta since the maximum waste load allocations under water quality targets is less than the present amount of waste discharged into rivers in the study area.

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Acknowledgments

The authors gratefully acknowledge financial support from the National Natural Science Foundation of China (Nos. 51190094, 51379148, 51179130), the Open Fund of the State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (2012490611) and CSIRO Computational and Simulation Sciences TCP. The anonymous referees are also acknowledged for their valuable comments which greatly improved the quality of this paper.

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Authors and Affiliations

  1. State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072, China

    Dedi Liu & Shenglian Guo

  2. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, China

    Dedi Liu

  3. CSIRO Mathematical and Information Sciences, Private Bag 5, Wembley, WA, 6913, Australia

    Quanxi Shao

  4. China Institute of Water Resources and Hydropower Research, Beijing, 100038, China

    Yunzhong Jiang

  5. Center for Water Resource and Environment, Sun Yat-sen University, Guangzhou, 510275, China

    Xiaohong Chen

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  1. Dedi Liu
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Correspondence to Dedi Liu.

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Liu, D., Guo, S., Shao, Q. et al. Optimal allocation of water quantity and waste load in the Northwest Pearl River Delta, China. Stoch Environ Res Risk Assess 28, 1525–1542 (2014). https://doi.org/10.1007/s00477-013-0829-4

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