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Sustainable management of agricultural water and land resources under changing climate and socio-economic conditions: A multi-dimensional optimization approach

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  • Li, Mo
  • Cao, Xiaoxu
  • Liu, Dong
  • Fu, Qiang
  • Li, Tianxiao
  • Shang, Ruochen

Abstract

Conflict between limited water supply and the ever-increasing water demand poses the challenge of synergetic management of agricultural water and land resources (AWLR). Sustainable development strategy and changing environment increase the multi-dimensional characteristic and complexity of the management of AWLR. This paper establishes a model framework for the multi-dimensional optimization of AWLR in a changing environment. The model framework is advantageous of: (1) Comprehensively allocating water and land resources on the basis of clarifying their interactions; (2) Balancing incompatible goals from multiple dimensions including resources, society, economy, ecology, and environment; (3) proposing alternative allocation schemes of AWLR that can response to the changing environment of both natural and socio-economic changes. Allocation schemes of AWLR based on the model framework are generated, analyzed and evaluated. The comprehensiveness, equilibrium, and security of multi-dimensional targets help obtain the optimum adaptation allocation plans of AWLR to cope with changing environment. The real-world case study in Songhua River Basin in Northeast China verifies the feasibility and practicality of the model framework. The study found that the model framework can manage AWLR in a sustainable way and meanwhile provide decision makers alternatives plans of AWLR for different natural and social changing environments, which will further contribute to the alleviation of agricultural water scarcity and the promotion of agricultural sustainable development.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:agiwat:v:259:y:2022:i:c:s0378377421005126
    DOI: 10.1016/j.agwat.2021.107235
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    as
    1. Lukas Gudmundsson & Sonia I. Seneviratne & Xuebin Zhang, 2017. "Anthropogenic climate change detected in European renewable freshwater resources," Nature Climate Change, Nature, vol. 7(11), pages 813-816, November.
    2. Tang, Yikuan & Zhang, Fan & Wang, Sufen & Zhang, Xiaodong & Guo, Shanshan & Guo, Ping, 2019. "A distributed interval nonlinear multiobjective programming approach for optimal irrigation water management in an arid area," Agricultural Water Management, Elsevier, vol. 220(C), pages 13-26.
    3. 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).
    4. Bojan Srdjevic & Yvonilde Medeiros, 2008. "Fuzzy AHP Assessment of Water Management Plans," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(7), pages 877-894, July.
    5. 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).
    6. P. Greve & T. Kahil & J. Mochizuki & T. Schinko & Y. Satoh & P. Burek & G. Fischer & S. Tramberend & R. Burtscher & S. Langan & Y. Wada, 2018. "Global assessment of water challenges under uncertainty in water scarcity projections," Nature Sustainability, Nature, vol. 1(9), pages 486-494, September.
    7. Linker, Raphael, 2020. "Unified framework for model-based optimal allocation of crop areas and water," Agricultural Water Management, Elsevier, vol. 228(C).
    8. Fan, Xing & Zhang, Wen & Chen, Weiwei & Chen, Bin, 2020. "Land–water–energy nexus in agricultural management for greenhouse gas mitigation," Applied Energy, Elsevier, vol. 265(C).
    9. Dai, Z.Y. & Li, Y.P., 2013. "A multistage irrigation water allocation model for agricultural land-use planning under uncertainty," Agricultural Water Management, Elsevier, vol. 129(C), pages 69-79.
    10. Kevin E. Trenberth & John T. Fasullo & Theodore G. Shepherd, 2015. "Attribution of climate extreme events," Nature Climate Change, Nature, vol. 5(8), pages 725-730, August.
    11. Yang, Gaiqiang & Li, Xia & Huo, Lijuan & Liu, Qi, 2020. "A solving approach for fuzzy multi-objective linear fractional programming and application to an agricultural planting structure optimization problem," Chaos, Solitons & Fractals, Elsevier, vol. 141(C).
    12. Various, 1973. "Conference Programs," NBER Chapters, in: The New Realities of the Business Cycle, pages 126-131, National Bureau of Economic Research, Inc.
    13. de Sousa Xavier, António Manuel & Costa Freitas, Maria de Belém & de Sousa Fragoso, Rui Manuel, 2015. "Management of Mediterranean forests — A compromise programming approach considering different stakeholders and different objectives," Forest Policy and Economics, Elsevier, vol. 57(C), pages 38-46.
    14. Vanham, D. & Hoekstra, A. Y. & Wada, Y. & Bouraoui, F. & de Roo, A. & Mekonnen, M. M. & van de Bund, W. J. & Batelaan, O. & Pavelic, Paul & Bastiaanssen, W. G. M. & Kummu, M. & Rockstrom, J. & Liu, J., "undated". "Physical water scarcity metrics for monitoring progress towards SDG target 6.4: An evaluation of indicator 6.4.2 “Level of water stressâ€," Papers published in Journals (Open Access) H048267, International Water Management Institute.
    15. Li, Mo & Fu, Qiang & Singh, Vijay P. & Liu, Dong, 2018. "An interval multi-objective programming model for irrigation water allocation under uncertainty," Agricultural Water Management, Elsevier, vol. 196(C), pages 24-36.
    16. Fujimori, S. & Kainuma, M. & Masui, T. & Hasegawa, T. & Dai, H., 2014. "The effectiveness of energy service demand reduction: A scenario analysis of global climate change mitigation," Energy Policy, Elsevier, vol. 75(C), pages 379-391.
    17. Parviz Fattahi & Saeed Fayyaz, 2010. "A Compromise Programming Model to Integrated Urban Water Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(6), pages 1211-1227, April.
    Full references (including those not matched with items on IDEAS)

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