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Multi-Objective Surface Water Resource Management Considering Conflict Resolution and Utility Function Optimization

Author

Listed:
  • Hadi Tarebari

    (Islamic Azad University)

  • Amir Hossein Javid

    (Islamic Azad University)

  • Seyyed Ahmad Mirbagheri

    (K. N. Toosi University of Technology)

  • Hedayat Fahmi

    (Ministry of Energy (MOE))

Abstract

In the present research, a multi-objective model is developed for surface water resource management in the river basin area which is connected to the lake. This model considers different components of sustainable water resource management including economic, social and environmental aspects, and simultaneously tries to resolve conflicts between different stakeholders by means of non-symmetric Nash bargaining, which is linked to the multi-objective optimization method. This study proposes a new methodology to improve Nash Conflict Resolution through finding the optimum degree of the utility function. The proposed model is examined in the Zarrineh River basin in Iran. The results show that the amount of available resources or volume of reservoirs play a significant role in determining the optimal degree of the utility function and efficiency of the proposed method in such a way that the higher amount of resources or the larger reservoirs will result in the higher optimal degree of the utility function. In the proposed multi-objective model, two different amounts of surface water inflow are considered. The first assumed amount is the long-term average flow rate and the second one is equal to 80% of the first mode, which is reduced based on the estimated impacts of climate changes. This multi-objective allocation model could supply 100 and 97.5% of the environmental demand of Lake Urmia in the first and second situations, respectively.

Suggested Citation

  • Hadi Tarebari & Amir Hossein Javid & Seyyed Ahmad Mirbagheri & Hedayat Fahmi, 2018. "Multi-Objective Surface Water Resource Management Considering Conflict Resolution and Utility Function Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(14), pages 4487-4509, November.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:14:d:10.1007_s11269-018-2051-0
    DOI: 10.1007/s11269-018-2051-0
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    Cited by:

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    2. Kian Fadaeizadeh & Mojtaba Shourian, 2019. "Determination of the Optimal River Basin-Wide Agricultural Water Demand Quantities Meeting Satisfactory Reliability Levels," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(8), pages 2665-2676, June.
    3. Wencong Yue & Zhongqi Liu & Meirong Su & Meng Xu & Qiangqiang Rong & Chao Xu & Zhenkun Tan & Xuming Jiang & Zhixin Su & Yanpeng Cai, 2022. "Inclusion of Ecological Water Requirements in Optimization of Water Resource Allocation Under Changing Climatic Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 551-570, January.
    4. Xiang Zhang & Liangkun Deng & Bi Wu & Shichun Gao & Yi Xiao, 2022. "Low-Impact Optimal Operation of a Cascade Sluice-Reservoir System for Water-Society-Ecology Trade-Offs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 6131-6148, December.
    5. Mengjie Yang & Kai Yang & Yue Che & Shiqiang Lu & Fengyun Sun & Ying Chen & Mengting Li, 2021. "Resolving Transboundary Water Conflicts: Dynamic Evolutionary Analysis Using an Improved GMCR Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3321-3338, August.

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