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Development of an uncertain water-food-energy nexus model for pursuing sustainable agricultural and electric productions

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  • Sun, J.
  • Li, Y.P.
  • Suo, C.
  • Liu, J.

Abstract

Agricultural and electric productions are the main water consumers. They are intricately interlinked and complicated. An uncertain water-food-energy (WFE) nexus model could well reflect the complex relationships among water, agriculture, and electricity. Chance-constrained fuzzy fractional programming (CFFP) method is proposed to reflect the uncertainties in WFE nexus system. It can handle multi-objectives expressed as output/input ratio problems in a fuzzy and random environment. Then, the CFFP-based WFE model is applied to Kaikong watershed (a water-scarce region in northwest China). Water resources utilization, agricultural land allocation and electricity generation are incorporated into the nexus framework for pursuing the maximum water use efficiency (i.e., unit water benefit). Uncertainties in water availability, water demand, and pollutant/CO2 emission have synergistic effects on agricultural and electric productions. The unit water benefit ranges from 0.852 to 0.926 $/m3 across 144 scenarios. Results suggest that, at the end of planning horizon, irrigated agricultural area should be controlled below 203.4 × 103 ha, and vegetable is encouraged. Proportion of fossil-energy power (i.e. coal- and gas-fired electricity) is optimized within 53.1 %–60.4 % in adaption to water and environment constraints. The obtained results can efficiently help optimize use of limited resources, and provide a synergic management strategy for regional sustainability.

Suggested Citation

  • Sun, J. & Li, Y.P. & Suo, C. & Liu, J., 2020. "Development of an uncertain water-food-energy nexus model for pursuing sustainable agricultural and electric productions," Agricultural Water Management, Elsevier, vol. 241(C).
  • Handle: RePEc:eee:agiwat:v:241:y:2020:i:c:s0378377420301219
    DOI: 10.1016/j.agwat.2020.106384
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    References listed on IDEAS

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    Cited by:

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    2. Li, Mo & Li, Haiyan & Fu, Qiang & Liu, Dong & Yu, Lei & Li, Tianxiao, 2021. "Approach for optimizing the water-land-food-energy nexus in agroforestry systems under climate change," Agricultural Systems, Elsevier, vol. 192(C).
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    4. Zolghadr-Asli, Babak & McIntyre, Neil & Djordjevic, Slobodan & Farmani, Raziyeh & Pagliero, Liliana, 2023. "The sustainability of desalination as a remedy to the water crisis in the agriculture sector: An analysis from the climate-water-energy-food nexus perspective," Agricultural Water Management, Elsevier, vol. 286(C).
    5. Yi Cheng, 2023. "Analysis of Development Strategy for Ecological Agriculture Based on a Neural Network in the Environmental Economy," Sustainability, MDPI, vol. 15(8), pages 1-17, April.
    6. Yue, Qiong & Guo, Ping & Wu, Hui & Wang, Youzhi & Zhang, Chenglong, 2022. "Towards sustainable circular agriculture: An integrated optimization framework for crop-livestock-biogas-crop recycling system management under uncertainty," Agricultural Systems, Elsevier, vol. 196(C).
    7. Ma, Y. & Li, Y.P. & Huang, G.H. & Zhang, Y.F. & Liu, Y.R. & Wang, H. & Ding, Y.K., 2022. "Planning water-food-ecology nexus system under uncertainty: Tradeoffs and synergies in Central Asia," Agricultural Water Management, Elsevier, vol. 266(C).
    8. Yao, Liming & Li, Yalan & Chen, Xudong, 2021. "A robust water-food-land nexus optimization model for sustainable agricultural development in the Yangtze River Basin," Agricultural Water Management, Elsevier, vol. 256(C).
    9. Radmehr, Riza & Ghorbani, Mohammad & Ziaei, Ali Naghi, 2021. "Quantifying and managing the water-energy-food nexus in dry regions food insecurity: New methods and evidence," Agricultural Water Management, Elsevier, vol. 245(C).
    10. Wang, Shuhang & Wang, Xu & Fu, Zhenghui & Liu, Feng & Xu, Ye & Li, Wei, 2022. "A novel energy-water nexus based CHP operation optimization model under water shortage," Energy, Elsevier, vol. 239(PA).

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