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Integrated agriculture water management optimization model for water saving potential analysis

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  • Zhang, Dongmei
  • Guo, Ping

Abstract

This paper studied on the quantification of agriculture water savings under water integrated optimal management and analyze the economic increment of agriculture water savings. First, an integrated agriculture water management optimization model composed of a planting structure optimization model and water resources allocation under conjunctive use of surface water and groundwater optimizing model is built in this paper and applied to Fendong District of Fenhe Region in Shanxi Province, China. Resilience of water utilization and saving inside agriculture have been fully developed through detailed expressions of demand process of multi crops and the interaction and transformation between surface water and groundwater. Optimal solutions of planting structure and corresponding water resources allocation scheme indicate that water demand and supply are more reasonable after assembling crop water demand to flood seasons. Water saving could be realized in the premise of maximum economic benefit after integrated optimization management. Next, active water saving and passive water saving scenario have been set to analyze the correlativity between water saving quantity and maximum economic benefit through adopting integrated agriculture water management optimization model. The results show that water saving potential and agriculture benefit demonstrate a negative correlation. The interval linear function of water saving-effect comprised of two scenarios is used to represent this negative correlation. Consequently, approximately 10% of surface water could be saved in Fenhe Region under current planting scale. Finally, an optimization model for agricultural water transfer are formulated to the further study on agriculture water savings reallocation by maximizing incremental benefit of water resources. The interval linear function of agriculture water saving-effect and water production function of the second industry and tertiary industry have been introduced to obtain agriculture water transfer trend under various circumstances. For Fenhe Region, agriculture water transferring to the second industry (533×104m3) and tertiary industry (235×104m3) could bring an incremental benefit about 8.66–8.94 billion RMB, and 90.2–93.1 RMB for 1m3 of irrigation water, which exhibits a huge potential of economic benefit of agriculture water savings. The results indicate that optimization model for agricultural water transfer is an efficient way to analyze economic value of irrigation water and provide agriculture water transfer strategies.

Suggested Citation

  • Zhang, Dongmei & Guo, Ping, 2016. "Integrated agriculture water management optimization model for water saving potential analysis," Agricultural Water Management, Elsevier, vol. 170(C), pages 5-19.
    • Handle: RePEc:eee:agiwat:v:170:y:2016:i:c:p:5-19
    DOI: 10.1016/j.agwat.2015.11.004
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    10. Giovanni Pino & Pierluigi Toma & Cristian Rizzo & Pier Paolo Miglietta & Alessandro M. Peluso & Gianluigi Guido, 2017. "Determinants of Farmers’ Intention to Adopt Water Saving Measures: Evidence from Italy," Sustainability, MDPI, vol. 9(1), pages 1-14, January.
    11. Zhang, Cheng-Yao & Oki, Taikan, 2023. "Water pricing reform for sustainable water resources management in China’s agricultural sector," Agricultural Water Management, Elsevier, vol. 275(C).
    12. Gao, Jie & Zhuo, La & Duan, Ximing & Wu, Pute, 2023. "Agricultural water-saving potentials with water footprint benchmarking under different tillage practices for crop production in an irrigation district," Agricultural Water Management, Elsevier, vol. 282(C).
    13. Zhang, Chenglong & Guo, Ping, 2018. "FLFP: A fuzzy linear fractional programming approach with double-sided fuzziness for optimal irrigation water allocation," Agricultural Water Management, Elsevier, vol. 199(C), pages 105-119.
    14. Luís Loures & José Gama & José Rato Nunes & António Lopez-Piñeiro, 2017. "Assessing the Sodium Exchange Capacity in Rainfed and Irrigated Soils in the Mediterranean Basin Using GIS," Sustainability, MDPI, vol. 9(3), pages 1-12, March.
    15. Luo, Jianmei & Zhang, Hongmei & Qi, Yongqing & Pei, Hongwei & Shen, Yanjun, 2022. "Balancing water and food by optimizing the planting structure in the Beijing–Tianjin–Hebei region, China," Agricultural Water Management, Elsevier, vol. 262(C).
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    17. 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).
    18. Luís Loures & Alejandro Chamizo & Paulo Ferreira & Ana Loures & Rui Castanho & Thomas Panagopoulos, 2020. "Assessing the Effectiveness of Precision Agriculture Management Systems in Mediterranean Small Farms," Sustainability, MDPI, vol. 12(9), pages 1-15, May.
    19. Nur Syuhada, C.I. & Mahirah, K. & Roseliza, M.A., 2020. "Dealing with attributes in a discrete choice experiment on valuation of water services in East Peninsular Malaysia," Utilities Policy, Elsevier, vol. 64(C).
    20. Wei Qu & Yanmei Tan & Zhentao Li & Eefje Aarnoudse & Qin Tu, 2020. "Agricultural Water Use Efficiency—A Case Study of Inland-River Basins in Northwest China," Sustainability, MDPI, vol. 12(23), pages 1-18, December.

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