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Assessment and management of composite risk in irrigated agriculture under water-food-energy nexus and uncertainty

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  • Zhang, Tianyuan
  • Tan, Qian
  • Wang, Shuping
  • Zhang, Tong
  • Hu, Kejia
  • Zhang, Shan

Abstract

Growing demands for water, energy, and food put many systems at a composite risk of resource shortages. There was a lack of approaches capable of effectively assessing tridimensional composite risk and describing non-linear correlations among subsystem risks within a Water-Energy-Food (WEF) nexus system. In this study, an integrated approach was developed to assess the composite risk of WEF nexus systems and generate risk-based plans. Specifically, a composite risk assessment model that could capture the interdependence among the risk for water, energy, and food shortage was proposed. Furthermore, a generalized Copula-based chance-constrained programming model and its solving algorithm were developed. The proposed approach has been applied to an agricultural WEF nexus system in northern China, where the shortage of water, energy and / or land affected agricultural outputs. Results show that the composite risk of the entire system would be higher than the maximum value among subsystem risks, but less than their sum. Higher composite risks could bring higher benefits. Under a certain composite risk, the overall system benefit would vary with different combinations of subsystem risks; and it could be promoted through coordinating resources supplied by different subsystems. A risk - benefit frontier consisting of optimal solutions corresponding to different combinations of composite and subsystem risks was identified through Monte Carlo simulation. The scheme that could generate 12.76 billion Yuan under a moderate composite risk level of 0.22 was recommended for the study problem. Accordingly, net irrigation water, energy for agriculture, and effective irrigation area should be no less than 1.66 × 109 m3, 81.08 × 103 tce, and 509.12 × 103 hm2, respectively.

Suggested Citation

  • Zhang, Tianyuan & Tan, Qian & Wang, Shuping & Zhang, Tong & Hu, Kejia & Zhang, Shan, 2022. "Assessment and management of composite risk in irrigated agriculture under water-food-energy nexus and uncertainty," Agricultural Water Management, Elsevier, vol. 262(C).
    • Handle: RePEc:eee:agiwat:v:262:y:2022:i:c:s0378377421005990
    DOI: 10.1016/j.agwat.2021.107322
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    as
    1. Adenike K. Opejin & Rimjhim M. Aggarwal & Dave D. White & J. Leah Jones & Ross Maciejewski & Giuseppe Mascaro & Hessam S. Sarjoughian, 2020. "A Bibliometric Analysis of Food-Energy-Water Nexus Literature," Sustainability, MDPI, vol. 12(3), pages 1-18, February.
    2. Yu, L. & Xiao, Y. & Jiang, S. & Li, Y.P. & Fan, Y.R. & Huang, G.H. & Lv, J. & Zuo, Q.T. & Wang, F.Q., 2020. "A copula-based fuzzy interval-random programming approach for planning water-energy nexus system under uncertainty," Energy, Elsevier, vol. 196(C).
    3. Cai, Yanpeng & Cai, Jianying & Xu, Linyu & Tan, Qian & Xu, Qiao, 2019. "Integrated risk analysis of water-energy nexus systems based on systems dynamics, orthogonal design and copula analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 99(C), pages 125-137.
    4. Chen, F. & Huang, G.H. & Fan, Y.R. & Chen, J.P., 2017. "A copula-based fuzzy chance-constrained programming model and its application to electric power generation systems planning," Applied Energy, Elsevier, vol. 187(C), pages 291-309.
    5. Bieber, Niclas & Ker, Jen Ho & Wang, Xiaonan & Triantafyllidis, Charalampos & van Dam, Koen H. & Koppelaar, Rembrandt H.E.M. & Shah, Nilay, 2018. "Sustainable planning of the energy-water-food nexus using decision making tools," Energy Policy, Elsevier, vol. 113(C), pages 584-607.
    6. Ji, Ling & Zhang, Beibei & Huang, Guohe & Wang, Peng, 2020. "A novel multi-stage fuzzy stochastic programming for electricity system structure optimization and planning with energy-water nexus - A case study of Tianjin, China," Energy, Elsevier, vol. 190(C).
    7. Bahram Saghafian & Hossein Mehdikhani, 2014. "Drought characterization using a new copula-based trivariate approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 72(3), pages 1391-1407, July.
    8. Huang, G. H., 1998. "A hybrid inexact-stochastic water management model," European Journal of Operational Research, Elsevier, vol. 107(1), pages 137-158, May.
    9. Kole, Erik & Koedijk, Kees & Verbeek, Marno, 2007. "Selecting copulas for risk management," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2405-2423, August.
    10. Ribeiro, Andreia F.S. & Russo, Ana & Gouveia, Célia M. & Páscoa, Patrícia, 2019. "Copula-based agricultural drought risk of rainfed cropping systems," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    11. Amjath-Babu, T.S. & Sharma, Bikash & Brouwer, Roy & Rasul, Golam & Wahid, Shahriar M. & Neupane, Nilhari & Bhattarai, Utsav & Sieber, Stefan, 2019. "Integrated modelling of the impacts of hydropower projects on the water-food-energy nexus in a transboundary Himalayan river basin," Applied Energy, Elsevier, vol. 239(C), pages 494-503.
    12. Catherine Bruneau & Alexis Flageollet & Zhun Peng, 2020. "Economic and financial risk factors, copula dependence and risk sensitivity of large multi-asset class portfolios," Post-Print hal-02877941, HAL.
    13. Sun, Can & Bie, Zhaohong & Xie, Min & Jiang, Jiangfeng, 2016. "Fuzzy copula model for wind speed correlation and its application in wind curtailment evaluation," Renewable Energy, Elsevier, vol. 93(C), pages 68-76.
    14. Sadeghi, Seyed Hamidreza & Sharifi Moghadam, Ehsan & Delavar, Majid & Zarghami, Mahdi, 2020. "Application of water-energy-food nexus approach for designating optimal agricultural management pattern at a watershed scale," Agricultural Water Management, Elsevier, vol. 233(C).
    15. Detlef P. Van Vuuren & David L. Bijl & Patrick Bogaart & Elke Stehfest & Hester Biemans & Stefan C. Dekker & Jonathan C. Doelman & David E. H. J. Gernaat & Mathijs Harmsen, 2019. "Integrated scenarios to support analysis of the food–energy–water nexus," Nature Sustainability, Nature, vol. 2(12), pages 1132-1141, December.
    16. Catherine Bruneau & Alexis Flageollet & Zhun Peng, 2020. "Economic and financial risk factors, copula dependence and risk sensitivity of large multi-asset class portfolios," Annals of Operations Research, Springer, vol. 284(1), pages 165-197, January.
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