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A Bi-Level Waste Load Allocation Model Based on Water Function Zoning for Sichuan-Neijiang

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 362))

Abstract

Water pollution is becoming very serious currently, and has been a major bottleneck in China’s economic and social sustainable development. rivers has no clear division of functions and protection requirements early, there has been no clear goals of water conservation, which has affected the overall water resources management and protection work carried out. So it is urgent for local basin management committee to reasonably allocate waste based on the water function zoning. In this paper, focus on water function zoning waste load allocations, and develops equilibrium strategies to balance the needs of both the first level and the second level water function zoning. In order to solve the problem between the two level function zoning, a bi-level optimization model is proposed to minimize water pollution. Finally, a practical case from Neijiang segment of Tuojiang, a typical developing city with typical water function zoning, is given to demonstrate the effectiveness of the proposed model. Some operational policies are developed to assist decision-makers cope with pollution limitation for water function zoning.

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Acknowledgments

The work is supported by the National Natural Science Foundation of China (Grant No. 71301109), the Western and Frontier Region Project of Humanity and Social Sciences Research, Ministry of Education of China (Grant No. 13XJC630018), the Philosophy and Social Sciences Planning Project of Sichuan Province (Grant No. SC12BJ05), and the Initial Funding for Young Teachers of Sichuan University (Grant No. 2013SCU11014).

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Correspondence to Liming Yao .

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Hou, S., Song, X., Yao, L. (2015). A Bi-Level Waste Load Allocation Model Based on Water Function Zoning for Sichuan-Neijiang . In: Xu, J., Nickel, S., Machado, V., Hajiyev, A. (eds) Proceedings of the Ninth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47241-5_17

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  • DOI: https://doi.org/10.1007/978-3-662-47241-5_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47240-8

  • Online ISBN: 978-3-662-47241-5

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