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Water Resources Allocation in Transboundary River Basins Based on a Game Model Considering Inflow Forecasting Errors

Author

Listed:
  • Jisi Fu

    (Hohai University)

  • Ping-an Zhong

    (Hohai University
    Hohai University)

  • Juan Chen

    (Hohai University
    Hohai University)

  • Bin Xu

    (Hohai University)

  • Feilin Zhu

    (Hohai University)

  • Yu Zhang

    (Hohai University)

Abstract

Dynamic transboundary water resources allocation based on inflow prediction results is an important task for water resources management in river basins. This paper takes the watershed management agency as the leader and the associated area as the follower, and proposes a two-level asymmetric Nash-Harsanyi Leader-Follower game model considering inflow forecasting errors. In the proposed model, the Monte Carlo method is used to analyze the uncertainty of various stakeholder allocation results and the response regularity to the total water resource uncertainty. The quantitative relationship between the allocation results of stakeholders and the mean and standard deviation of total water resource uncertainty is subsequently established. The Huaihe River basin in China is selected as a case study. The results show the following: (1) the water allocated to the watershed management agency and three provinces has a normal distribution when the inflow forecasting error obeys the normal distribution; (2) the sum of the mean of the water allocated to stakeholders equals the mean of the forecast water resource and the sum of the standard deviations of the water allocated to stakeholders equals the standard deviation of the forecast water resource; (3) the mean and standard deviation of the allocation results have a good linear relationship with the mean and standard deviation of forecast water resource; (4) the distribution parameters of the stakeholder allocation results can be directly derived from the distribution parameters of the forecast information, thus aiding the stakeholders in making decisions and improving the practical value of the method.

Suggested Citation

  • Jisi Fu & Ping-an Zhong & Juan Chen & Bin Xu & Feilin Zhu & Yu Zhang, 2019. "Water Resources Allocation in Transboundary River Basins Based on a Game Model Considering Inflow Forecasting Errors," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(8), pages 2809-2825, June.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:8:d:10.1007_s11269-019-02259-y
    DOI: 10.1007/s11269-019-02259-y
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    References listed on IDEAS

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    1. Madani, Kaveh & Dinar, Ariel, 2012. "Non-cooperative institutions for sustainable common pool resource management: Application to groundwater," Ecological Economics, Elsevier, vol. 74(C), pages 34-45.
    2. Cem P. Cetinkaya & Mert Can Gunacti, 2018. "Multi-Criteria Analysis of Water Allocation Scenarios in a Water Scarce Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(8), pages 2867-2884, June.
    3. Mehmet Kucukmehmetoglu & Jean-Michel Guldmann, 2004. "International Water Resources Allocation and Conflicts: The Case of the Euphrates and Tigris," Environment and Planning A, , vol. 36(5), pages 783-801, May.
    4. Ali Reza Nafarzadegan & Hassan Vagharfard & Mohammad Reza Nikoo & Ahmad Nohegar, 2018. "Socially-Optimal and Nash Pareto-Based Alternatives for Water Allocation under Uncertainty: an Approach and Application," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(9), pages 2985-3000, July.
    5. Dagmawi Mulugeta Degefu & Weijun He & Liang Yuan & Jian Hua Zhao, 2016. "Water Allocation in Transboundary River Basins under Water Scarcity: a Cooperative Bargaining Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4451-4466, September.
    6. Dan Yan & Mingtian Yao & Fulco Ludwig & Pavel Kabat & He Qing Huang & Ronald W. A. Hutjes & Saskia E. Werners, 2018. "Exploring Future Water Shortage for Large River Basins under Different Water Allocation Strategies," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(9), pages 3071-3086, July.
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    2. Xin Liu & Xuefeng Sang & Jiaxuan Chang & Yang Zheng, 2021. "Multi-Model Coupling Water Demand Prediction Optimization Method for Megacities Based on Time Series Decomposition," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 4021-4041, September.

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