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Balancing water saving, market attractiveness, and pollution control in crop spatial planting structure planning of arid regions

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  • Hao, Longbin
  • Zhang, Shouhong
  • Zhang, Fan
  • Ren, Yufei
  • Zhang, Xinyu
  • Yan, Jing

Abstract

In arid regions, agricultural production and ecological health heavily depend on limited water resources, necessitating the implementation of additional water-saving measures to promote sustainable development. Crop spatial planting structure optimization, as an effective water-saving measure, has been widely utilized to enhance water-use efficiency by aligning the supply and demand of different crops. Besides water-saving benefits, crop planting also offers advantages in terms of market proximity and pollution control. Therefore, this study endeavors to integrate the Von Thunen's agricultural location theory, an agricultural non-point source pollution model, and 0–1 integer multi-objective programming into a unified framework to optimize crop spatial planting structure in arid regions. This approach is applied to a case study in the middle reaches of the Heihe River in northwest China. Results indicate that: (1) The grid-based 0–1 integer multi-objective approach can effectively make tradeoff among market attractiveness, pollution control, and crop suitability for crop planting structure planning in arid regions. (2) Optimal crop planting structure can increase agricultural planting profits by 4.679 billion CNY, while reduces system agricultural non-point source pollution and total water allocation by 34.72 % and 10.19 %, respectively. (3) The multi-objective approach shows better performance than single-objective models by comparing the Synthetic Degree (SD), Sustainability Index (SI), and Approximation Degree (AD). The advantages and successful application of proposed approach indicate that it is universality and effectiveness in addressing agricultural resource management issues in arid regions.

Suggested Citation

  • Hao, Longbin & Zhang, Shouhong & Zhang, Fan & Ren, Yufei & Zhang, Xinyu & Yan, Jing, 2025. "Balancing water saving, market attractiveness, and pollution control in crop spatial planting structure planning of arid regions," Agricultural Water Management, Elsevier, vol. 309(C).
    • Handle: RePEc:eee:agiwat:v:309:y:2025:i:c:s0378377425000629
    DOI: 10.1016/j.agwat.2025.109348
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    1. Xiaoling Su & Jianfang Li & Vijay Singh, 2014. "Optimal Allocation of Agricultural Water Resources Based on Virtual Water Subdivision in Shiyang River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(8), pages 2243-2257, June.
    2. Farooq, Muhammad & Hussain, Mubshar & Ul-Allah, Sami & Siddique, Kadambot H.M., 2019. "Physiological and agronomic approaches for improving water-use efficiency in crop plants," Agricultural Water Management, Elsevier, vol. 219(C), pages 95-108.
    3. S. Chadha & Veena Chadha, 2007. "Linear fractional programming and duality," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 15(2), pages 119-125, June.
    4. Abbas Amini Fasakhodi & Seyed Nouri & Manouchehr Amini, 2010. "Water Resources Sustainability and Optimal Cropping Pattern in Farming Systems; A Multi-Objective Fractional Goal Programming Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(15), pages 4639-4657, December.
    5. 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.
    6. 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).
    7. Timler, Carl & Alvarez, Stéphanie & DeClerck, Fabrice & Remans, Roseline & Raneri, Jessica & Estrada Carmona, Natalia & Mashingaidze, Nester & Abe Chatterjee, Shantonu & Chiang, Tsai Wei & Termote, Ce, 2020. "Exploring solution spaces for nutrition-sensitive agriculture in Kenya and Vietnam," Agricultural Systems, Elsevier, vol. 180(C).
    8. Chen, Mengting & Luo, Yufeng & Shen, Yingying & Han, Zhenzhong & Cui, Yuanlai, 2020. "Driving force analysis of irrigation water consumption using principal component regression analysis," Agricultural Water Management, Elsevier, vol. 234(C).
    9. Roos, Anders & Eggers, Jeannette & Mark-Herbert, Cecilia & Lindhagen, Anders, 2018. "Using von Thünen rings and service-dominant logic in balancing forest ecosystem services," Land Use Policy, Elsevier, vol. 79(C), pages 622-632.
    10. Zhang, Fan & Zhang, Chenglong & Yan, Zehao & Guo, Shanshan & Wang, Youzhi & Guo, Ping, 2018. "An interval nonlinear multiobjective programming model with fuzzy-interval credibility constraint for crop monthly water allocation," Agricultural Water Management, Elsevier, vol. 209(C), pages 123-133.
    11. Liuyue He & Sufen Wang & Congcong Peng & Qian Tan, 2018. "Optimization of Water Consumption Distribution Based on Crop Suitability in the Middle Reaches of Heihe River," Sustainability, MDPI, vol. 10(7), pages 1-17, June.
    12. Hamidreza Majedi & Hossein Fathian & Alireza Nikbakht-Shahbazi & Narges Zohrabi & Fatemeh Hassani, 2021. "Multi-Objective Optimization of Integrated Surface and Groundwater Resources Under the Clean Development Mechanism," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2685-2704, June.
    13. Benjamin H. Stevens, 1968. "Location Theory And Programming Models: The Von Thünen Case," Papers in Regional Science, Wiley Blackwell, vol. 21(1), pages 19-34, January.
    14. Zhang, Fan & Cai, Yanpeng & Tan, Qian & Wang, Xuan, 2021. "Spatial water footprint optimization of crop planting: A fuzzy multiobjective optimal approach based on MOD16 evapotranspiration products," Agricultural Water Management, Elsevier, vol. 256(C).
    15. Kang, Shaozhong & Gu, Binjie & Du, Taisheng & Zhang, Jianhua, 2003. "Crop coefficient and ratio of transpiration to evapotranspiration of winter wheat and maize in a semi-humid region," Agricultural Water Management, Elsevier, vol. 59(3), pages 239-254, April.
    16. Jiang, Xuelian & Kang, Shaozhong & Tong, Ling & Li, Fusheng & Li, Donghao & Ding, Risheng & Qiu, Rangjian, 2014. "Crop coefficient and evapotranspiration of grain maize modified by planting density in an arid region of northwest China," Agricultural Water Management, Elsevier, vol. 142(C), pages 135-143.
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