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Planning water-food-ecology nexus system under uncertainty: Tradeoffs and synergies in Central Asia

Author

Listed:
  • Ma, Y.
  • Li, Y.P.
  • Huang, G.H.
  • Zhang, Y.F.
  • Liu, Y.R.
  • Wang, H.
  • Ding, Y.K.

Abstract

Vicious competition for limited water resources hinders the synergetic and sustainable development of Central Asian countries, which further threatens food security and exacerbates ecological degradation. In this study, a copula-based bi-level decentralized programming (CBDP) method is developed and applied to planning water-food-ecology (WFE) nexus system. CBDP has advantages in balancing tradeoffs between different decision levels, analyzing synergies among multiple managers and reflecting joint risks of interrelated uncertain parameters. Then, a CBDP-WFE model is formulated for Central Asia, where the upper-level model aims to maximize system benefit for the region (i.e. regional-scale), and the lower-level model involves five objectives to maximize five countries’ benefits (i.e. national-scale) respectively. Totally 108 scenarios are designed to analyze the impacts of joint constraint-violation risk, agricultural irrigation efficiency, and ecological water demand. Results reveal that (i) improving agricultural irrigation efficiency can optimize the water allocation pattern as well as increase the system benefit; (ii) in order to restore the regional eco-environment, the proportion of ecological water allocation should increase from 7% (of the current level) to 14.9–23.8% (by 2050); (iii) water allocations to Uzbekistan and Tajikistan should be properly controlled especially when available water is scarce. The results are helpful for managers in not only making decisions of water allocation among multiple users and countries but also gaining insight into synergetic management of WFE nexus under various system conditions.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:agiwat:v:266:y:2022:i:c:s0378377422000968
    DOI: 10.1016/j.agwat.2022.107549
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    References listed on IDEAS

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    1. Hong Wang & Xiaodong Zhang, 2018. "A Decentralized Bi-Level Fuzzy Two-Stage Decision Model for Flood Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(5), pages 1615-1629, March.
    2. Zhang, Xiaodong & Vesselinov, Velimir V., 2016. "Energy-water nexus: Balancing the tradeoffs between two-level decision makers," Applied Energy, Elsevier, vol. 183(C), pages 77-87.
    3. Olli Varis, 2014. "Resources: Curb vast water use in central Asia," Nature, Nature, vol. 514(7520), pages 27-29, October.
    4. Li, Y.P. & Liu, J. & Huang, G.H., 2014. "A hybrid fuzzy-stochastic programming method for water trading within an agricultural system," Agricultural Systems, Elsevier, vol. 123(C), pages 71-83.
    5. Edward Frees & Emiliano Valdez, 1998. "Understanding Relationships Using Copulas," North American Actuarial Journal, Taylor & Francis Journals, vol. 2(1), pages 1-25.
    6. Chen, Shu & Xu, Jijun & Li, Qingqing & Tan, Xuezhi & Nong, Xizhi, 2019. "A copula-based interval-bistochastic programming method for regional water allocation under uncertainty," Agricultural Water Management, Elsevier, vol. 217(C), pages 154-164.
    7. Arora, S.R. & Gupta, Ritu, 2009. "Interactive fuzzy goal programming approach for bilevel programming problem," European Journal of Operational Research, Elsevier, vol. 194(2), pages 368-376, April.
    8. 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).
    9. Guangquan Zhang & Jie Lu, 2010. "Fuzzy bilevel programming with multiple objectives and cooperative multiple followers," Journal of Global Optimization, Springer, vol. 47(3), pages 403-419, July.
    10. Yue, Qiong & Guo, Ping, 2021. "Managing agricultural water-energy-food-environment nexus considering water footprint and carbon footprint under uncertainty," Agricultural Water Management, Elsevier, vol. 252(C).
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