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Managing agricultural water and land resources with tradeoff between economic, environmental, and social considerations: A multi-objective non-linear optimization model under uncertainty

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  • Li, Mo
  • Fu, Qiang
  • Singh, Vijay P.
  • Liu, Dong
  • Li, Tianxiao
  • Zhou, Yan

Abstract

This study presents an optimization model for the allocation of agricultural water and land resources under uncertainty. The model incorporates intuitionistic fuzzy numbers, fuzzy credibility-constrained programming, mixed-integer non-linear programming, and multi-objective programming into a general framework. The model is capable of (1) balancing the trade-off among economic, environmental, and social considerations in an irrigated agricultural system; (2) optimally allocating limited agricultural water and land resources simultaneously; and (3) dealing with the complexities of non-linearity and fuzzy uncertainties concurrently occurring in both parameters and constraints to objectively reflect practical issues in agricultural water and land resources allocations. The developed model is applied to a real case study in northeast China. The net system benefits, global warming potential, water pollution, resource allocation equity, and agricultural water and land allocation schemes among different subareas in different crop growth periods are obtained under various scenarios. The performance of the model is assessed with alternative schemes. The model can help decision makers realize how much confidence one can have in the optimal solutions and manage agricultural water and land resources in a more efficient and environment-friendly way.

Suggested Citation

  • Li, Mo & Fu, Qiang & Singh, Vijay P. & Liu, Dong & Li, Tianxiao & Zhou, Yan, 2020. "Managing agricultural water and land resources with tradeoff between economic, environmental, and social considerations: A multi-objective non-linear optimization model under uncertainty," Agricultural Systems, Elsevier, vol. 178(C).
    • Handle: RePEc:eee:agisys:v:178:y:2020:i:c:s0308521x19302793
    DOI: 10.1016/j.agsy.2019.102685
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    14. Zhang, Zepeng & Wang, Qingzheng & Guan, Qingyu & Xiao, Xiong & Mi, Jimin & Lv, Songjian, 2023. "Research on the optimal allocation of agricultural water and soil resources in the Heihe River Basin based on SWAT and intelligent optimization," Agricultural Water Management, Elsevier, vol. 279(C).
    15. 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).
    16. Gong, Xinghui & Zhang, Hongbo & Ren, Chongfeng & Sun, Dongyong & Yang, Jiantao, 2020. "Optimization allocation of irrigation water resources based on crop water requirement under considering effective precipitation and uncertainty," Agricultural Water Management, Elsevier, vol. 239(C).
    17. Li, Mo & Cao, Xiaoxu & Liu, Dong & Fu, Qiang & Li, Tianxiao & Shang, Ruochen, 2022. "Sustainable management of agricultural water and land resources under changing climate and socio-economic conditions: A multi-dimensional optimization approach," Agricultural Water Management, Elsevier, vol. 259(C).
    18. Hao Jin & Shuai Huang, 2021. "Are China’s Water Resources for Agriculture Sustainable? Evidence from Hubei Province," Sustainability, MDPI, vol. 13(6), pages 1-17, March.
    19. Juan Carlos Pérez-Mesa & Francisco Javier Pérez-Mesa & Juan José Tapia-León & Diego Luis Valera, 2022. "Scheduling vegetable sales to supermarkets in Europe: The tomato case," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(11), pages 403-412.
    20. Bingkui Qiu & Yan Tu & Guoliang Ou & Min Zhou & Yifan Zhu & Shuhan Liu & Haoyang Ma, 2023. "Optimal Modeling of Sustainable Land Use Planning under Uncertain at a Watershed Level: Interval Stochastic Fuzzy Linear Programming with Chance Constraints," Land, MDPI, vol. 12(5), pages 1-21, May.
    21. Li, Mo & Sun, Hao & Liu, Dong & Singh, Vijay P. & Fu, Qiang, 2021. "Multi-scale modeling for irrigation water and cropland resources allocation considering uncertainties in water supply and demand," Agricultural Water Management, Elsevier, vol. 246(C).
    22. Zhiguo Wang & Junbin Wang & Guoping Zhang & Zhixiong Wang, 2021. "Evaluation of Agricultural Extension Service for Sustainable Agricultural Development Using a Hybrid Entropy and TOPSIS Method," Sustainability, MDPI, vol. 13(1), pages 1-17, January.
    23. Zhang, Fan & Guo, Shanshan & Liu, Xiao & Wang, Youzhi & Engel, Bernard A. & Guo, Ping, 2020. "Towards sustainable water management in an arid agricultural region: A multi-level multi-objective stochastic approach," Agricultural Systems, Elsevier, vol. 182(C).
    24. Jorge A. Garcia & Angelos Alamanos, 2022. "Integrated modelling approaches for sustainable agri-economic growth and environmental improvement: Examples from Canada, Greece, and Ireland," Papers 2208.09087, arXiv.org.

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