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Irrigation water resources optimization with consideration of the regional agro-hydrological process of crop growth and multiple uncertainties

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  • Wang, Youzhi
  • Guo, Ping

Abstract

The spatial heterogeneity of yield caused by the interactions between soil types, and crop types, the nonlinear relationship between yield and irrigation, and risks and uncertainties in the process of decision making make water allocation become a challenging task. To address the above problems, this paper proposed a framework that couples the distributed AquaCrop simulation model with a risk-based probabilistic-possibilistic programming with fuzzy random coefficients optimization model. Compared with the conventional optimization models, it can make the optimal water allocation schemes based on the actual crop growth process, at the same time with considerations of multiple uncertainties expressed as fuzzy random variables and stochastic variables, and the water-shortage risk expressed as the water uniform-scarcity index (WUSI). Besides, it can address the relationship between the objective function with fuzzy random coefficient and fuzzy goals set by decision-makers through the permissible levels. Moreover, three risk scenarios with three water availability-violated probabilities, three allowable water-shortage risk levels, and three predefined objective-probability levels of water allocation, yield, and permissible level are examined, and influenced degrees of above risk parameters on system’s outputs are explored by the sensitivity analysis method. The developed model is used to a case study of irrigation water resources management in the Yingke district (YID), Heihe River Basin, China. The results show that the optimal water allocation schemes and permissible level have different responses on risk parameters and the developed model can tradeoff the relationships amid water allocation, water-shortage risk, yield, and permissible levels. It can help managers to identify desired decision alternatives in water allocation schemes among different crops in different soil types and different risk levels.

Suggested Citation

  • Wang, Youzhi & Guo, Ping, 2021. "Irrigation water resources optimization with consideration of the regional agro-hydrological process of crop growth and multiple uncertainties," Agricultural Water Management, Elsevier, vol. 245(C).
    • Handle: RePEc:eee:agiwat:v:245:y:2021:i:c:s0378377420321776
    DOI: 10.1016/j.agwat.2020.106630
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    References listed on IDEAS

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    1. Li, Xuemin & Zhang, Chenglong & Huo, Zailin & Adeloye, Adebayo J., 2020. "A sustainable irrigation water management framework coupling water-salt processes simulation and uncertain optimization in an arid area," Agricultural Water Management, Elsevier, vol. 231(C).
    2. Ruihuan Li & Ping Guo & Jianbing Li, 2018. "Regional Water Use Structure Optimization Under Multiple Uncertainties Based on Water Resources Vulnerability Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(5), pages 1827-1847, March.
    3. Li, Jiang & Song, Jian & Li, Mo & Shang, Songhao & Mao, Xiaomin & Yang, Jian & Adeloye, Adebayo J., 2018. "Optimization of irrigation scheduling for spring wheat based on simulation-optimization model under uncertainty," Agricultural Water Management, Elsevier, vol. 208(C), pages 245-260.
    4. Jiang, Yao & Xu, Xu & Huang, Quanzhong & Huo, Zailin & Huang, Guanhua, 2015. "Assessment of irrigation performance and water productivity in irrigated areas of the middle Heihe River basin using a distributed agro-hydrological model," Agricultural Water Management, Elsevier, vol. 147(C), pages 67-81.
    5. Quddus, Md Abdul & Chowdhury, Sudipta & Marufuzzaman, Mohammad & Yu, Fei & Bian, Linkan, 2018. "A two-stage chance-constrained stochastic programming model for a bio-fuel supply chain network," International Journal of Production Economics, Elsevier, vol. 195(C), pages 27-44.
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    Cited by:

    1. Wang, Youzhi & Guo, Xinwei & Zhang, Fan & Yin, Huijuan & Guo, Ping & Zhang, Wenge & Li, Qiangkun, 2022. "The spatially-distributed ANN-optimization approach for water-agriculture-ecology nexus management under uncertainties and risks," Agricultural Water Management, Elsevier, vol. 271(C).
    2. Zhang, Chenglong & Li, Xuemin & Guo, Ping & Huo, Zailin, 2021. "Balancing irrigation planning and risk preference for sustainable irrigated agriculture: A fuzzy credibility-based optimization model with the Hurwicz criterion under uncertainty," Agricultural Water Management, Elsevier, vol. 254(C).

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