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Optimal irrigation water allocation in Hetao Irrigation District considering decision makers’ preference under uncertainties

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  • Zhang, Xiaoxing
  • Guo, Ping
  • Zhang, Fan
  • Liu, Xiao
  • Yue, Qiong
  • Wang, Youzhi

Abstract

In this study, a fuzzy multi-objective mλ-measure dependent-chance programming model was proposed to optimize limited irrigation water among three crops and five subareas in Hetao Irrigation District (HID) under uncertainties, with the objectives of ensuring food security and maximizing economic benefits. Three levels of droughts (100%, 85%, and 70% of annual average water diversion) that may happen in HID were set as future possible droughts scenarios. The optimization model considered the detailed physical process of soil water balance, which is necessary for irrigation districts where groundwater recharge plays a major role when available water limited. Moreover, sensitivities of crop yield to water deficit during crop growth periods were involved in model formulation to reflect the difference of crop water demand in different subareas. In optimization model, mλ-measure was introduced into the first objective to quantify optimistic and pessimistic decision attitudes of decision makers, and a series of alternatives were obtained. The obtained results indicate that: (1) the irrigation water of wheat, maize, and sunflower at rapid growth stage and middle growth stage should be preferentially guaranteed due to their high water-deficit sensitivities. The water demand at initial growth stage and late growth stage can be satisfied by soil water and groundwater recharge. (2) maize has the priority of irrigation in almost all subareas while sunflower has to face water deficit when drought occurs. (3) allocating more irrigation water to Yongji and Jiefangzha subareas can help increase food production. (4) the irrigation water allocated to grain crops increases along with the decrease of λ, representing decision makers’ more conservative preference. The optimization model and results in this study provide decision makers abundant water-allocation schemes under drought conditions.

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  • 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).
    • Handle: RePEc:eee:agiwat:v:246:y:2021:i:c:s0378377420322149
    DOI: 10.1016/j.agwat.2020.106670
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    2. Xu, Xianghui & Chen, Yingshan & Zhou, Yan & Liu, Wuyuan & Zhang, Xinrui & Li, Mo, 2023. "Sustainable management of agricultural water rights trading under uncertainty: An optimization-evaluation framework," Agricultural Water Management, Elsevier, vol. 280(C).
    3. Zhang, Xiaoxing & Guo, Ping & Guo, Wenxian & Gong, Juan & Luo, Biao, 2021. "Optimization towards sustainable development in shallow groundwater area and risk analysis," Agricultural Water Management, Elsevier, vol. 258(C).
    4. Liu, Xiuxia & Ma, Shimeng & Fang, Yu & Wang, Sufen & Guo, Ping, 2023. "A novel approach to identify crop irrigation priority," Agricultural Water Management, Elsevier, vol. 275(C).
    5. Zhang, Fan & Cui, Ningbo & Guo, Shanshan & Yue, Qiong & Jiang, Shouzheng & Zhu, Bin & Yu, Xiuyun, 2023. "Irrigation strategy optimization in irrigation districts with seasonal agricultural drought in southwest China: A copula-based stochastic multiobjective approach," Agricultural Water Management, Elsevier, vol. 282(C).
    6. Jing Tang & Xiaoyong Zhang & Zhengchao Chen & Yongqing Bai, 2022. "Crop Identification and Analysis in Typical Cultivated Areas of Inner Mongolia with Single-Phase Sentinel-2 Images," Sustainability, MDPI, vol. 14(19), pages 1-16, October.
    7. 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.

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