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A Model Coupling Water Resource Allocation and Canal Optimization for Water Distribution

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  • Yu Fan

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Institute of Water Resources and Hydropower Research
    National Center of Efficient Irrigation Engineering and Technology Research)

  • Haorui Chen

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Institute of Water Resources and Hydropower Research
    National Center of Efficient Irrigation Engineering and Technology Research)

  • Zhanyi Gao

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Institute of Water Resources and Hydropower Research
    National Center of Efficient Irrigation Engineering and Technology Research)

  • Benyan Fang

    (Yellow River Irrigation Service Center of Binzhou Municipality)

  • Xiangkun Liu

    (Yellow River Irrigation Service Center of Binzhou Municipality)

Abstract

During a certain water distribution process in irrigated areas, the water resource allocation model can generate the distribution scheme of different water users in different regions to obtain the different water distributions of the canals that supply water to the water users. Based on the amount of water distribution, the canal optimization water distribution model was established, and indicators such as water allocation duration and leakage loss were obtained. Leakage loss affects the net water allocation of users and then affects the water fee income and equity of the water resource allocation model. Therefore, the water resource allocation model and canal optimization water distribution model are mutually influenced. The coupled model should be considered while modelling the process of water distribution to obtain more reasonable water resource allocation results. The coupled model comprehensively considers the objectives of water fee income, equity, leakage loss and water distribution duration, and the results can help irrigation area managers obtain a more practical water distribution scheme. The applicability and practicability of the method were verified by applying the model to the limited water resource allocation scenario in the BoJiLi Yellow River irrigation area. The results showed that the coupled model provides a promising way of optimizing the water distribution scheme, i.e., less water leakage losses, more total water allocation guarantees, less total water shortages, and more irrigated water from the reservoir (upstream) to farmland (downstream), thus promoting fairness and increasing the water fee income.

Suggested Citation

  • Yu Fan & Haorui Chen & Zhanyi Gao & Benyan Fang & Xiangkun Liu, 2023. "A Model Coupling Water Resource Allocation and Canal Optimization for Water Distribution," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1341-1365, February.
  • Handle: RePEc:spr:waterr:v:37:y:2023:i:3:d:10.1007_s11269-023-03437-9
    DOI: 10.1007/s11269-023-03437-9
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    References listed on IDEAS

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    1. Mehdi Kazemi & Omid Bozorg-Haddad & Elahe Fallah-Mehdipour & Xuefeng Chu, 2022. "Optimal water resources allocation in transboundary river basins according to hydropolitical consideration," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 1188-1206, January.
    2. Xu Xu & Guanhua Huang & Zhongyi Qu & Luis Pereira, 2011. "Using MODFLOW and GIS to Assess Changes in Groundwater Dynamics in Response to Water Saving Measures in Irrigation Districts of the Upper Yellow River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(8), pages 2035-2059, June.
    3. 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.
    4. Jiang, Yao & Xu, Xu & Huang, Quanzhong & Huo, Zailin & Huang, Guanhua, 2016. "Optimizing regional irrigation water use by integrating a two-level optimization model and an agro-hydrological model," Agricultural Water Management, Elsevier, vol. 178(C), pages 76-88.
    5. Jing Tian & Shenglian Guo & Dedi Liu & Zhengke Pan & Xingjun Hong, 2019. "A Fair Approach for Multi-Objective Water Resources Allocation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(10), pages 3633-3653, August.
    6. Zhang, Xiaoxing & Guo, Ping & Zhang, Fan & Liu, Xiao & Yue, Qiong & Wang, Youzhi, 2021. "Optimal irrigation water allocation in Hetao Irrigation District considering decision makers’ preference under uncertainties," Agricultural Water Management, Elsevier, vol. 246(C).
    7. Ijaz Ahmad & Fan Zhang, 2022. "Optimal Agricultural Water Allocation for the Sustainable Development of Surface and Groundwater Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(11), pages 4219-4236, September.
    8. Suryavanshi, A. R. & Reddy, J. Mohan, 1986. "Optimal operation schedule of irrigation distribution systems," Agricultural Water Management, Elsevier, vol. 11(1), pages 23-30, March.
    9. Sethi, Laxmi Narayan & Panda, Sudhindra N. & Nayak, Manoj K., 2006. "Optimal crop planning and water resources allocation in a coastal groundwater basin, Orissa, India," Agricultural Water Management, Elsevier, vol. 83(3), pages 209-220, June.
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