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Impacts of irrigation efficiency on agricultural water-land nexus system management under multiple uncertainties—A case study in Amu Darya River basin, Central Asia

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  • Sun, J.
  • Li, Y.P.
  • Suo, C.
  • Liu, Y.R.

Abstract

Water and land are the two most critical resources for food production and they are intricately linked. Irrigation expansion, population growth, and climate change are threatening the sustainability of water-land nexus system (WLNS). In this study, a possibilistic-flexible chance-constrained programming (PFCP) method that is capable of addressing multiple uncertainties expressed as possibilistic distributions, flexible variables, and probabilistic distributions existed in WLNS is developed. PFCP can help gain in-depth analysis of the tradeoffs between system benefit and reliability of satisfying constraints. Then, the proposed PFCP method is applied to the lower reaches of Amu Darya River basin for assessing the impact of irrigation efficiency on the WLNS management, where 1080 scenarios are analyzed in association with different irrigation schemes, violation risk levels, and satisfactory degrees. A number of water and land resources allocation alternatives for different irrigation districts and crops are generated. Results indicate that the advanced irrigation modes (e.g., sprinkle and drip) can improve irrigation efficiency and raise unit water benefit from 0.15 US$/m3 to 0.24 US$/m3. Irrigation mode with efficiency of about 0.61 is an effective option in adaption to changed water availabilities, which is beneficial for pursuing balance between water and land relationships. These findings can support decision makers implementing comprehensive agricultural management strategies (e.g., the advancement of irrigation modes as well as the optimization of water and land allocation patterns) in responding to variations in water availability, electricity consumption, and market price.

Suggested Citation

  • Sun, J. & Li, Y.P. & Suo, C. & Liu, Y.R., 2019. "Impacts of irrigation efficiency on agricultural water-land nexus system management under multiple uncertainties—A case study in Amu Darya River basin, Central Asia," Agricultural Water Management, Elsevier, vol. 216(C), pages 76-88.
    • Handle: RePEc:eee:agiwat:v:216:y:2019:i:c:p:76-88
    DOI: 10.1016/j.agwat.2019.01.025
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    5. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    6. Yuhan Zhao & Yongxun Zhang & Xiande Li & Chen Qian, 2022. "Assessment on Land-Water Resources Carrying Capacity of Countries in Central Asia from the Perspective of Self-Supplied Agricultural Products," Land, MDPI, vol. 11(2), pages 1-19, February.
    7. 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).
    8. Shuang Liu & Geping Luo & Hao Wang, 2020. "Temporal and Spatial Changes in Crop Water Use Efficiency in Central Asia from 1960 to 2016," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
    9. 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).
    10. Yao, Liming & Li, Yalan & Chen, Xudong, 2021. "A robust water-food-land nexus optimization model for sustainable agricultural development in the Yangtze River Basin," Agricultural Water Management, Elsevier, vol. 256(C).
    11. Zuo, Qiting & Wu, Qingsong & Yu, Lei & Li, Yongping & Fan, Yurui, 2021. "Optimization of uncertain agricultural management considering the framework of water, energy and food," Agricultural Water Management, Elsevier, vol. 253(C).
    12. Hipólito-Valencia, Brígido J. & Mosqueda-Jiménez, Francisco Waldemar & Barajas-Fernández, Juan & Ponce-Ortega, José M., 2021. "Incorporating a seawater desalination scheme in the optimal water use in agricultural activities," Agricultural Water Management, Elsevier, vol. 244(C).
    13. Zheng Wang & Yue Huang & Tie Liu & Chanjuan Zan & Yunan Ling & Chenyu Guo, 2022. "Analysis of the Water Demand-Supply Gap and Scarcity Index in Lower Amu Darya River Basin, Central Asia," IJERPH, MDPI, vol. 19(2), pages 1-18, January.
    14. Wang, Yu & Lu, Yanli & Xu, Ye & Zheng, Lijun & Fan, Yurui, 2023. "A factorial inexact copula stochastic programming (FICSP) approach for water-energy- food nexus system management," Agricultural Water Management, Elsevier, vol. 277(C).
    15. Lilin Zou & Xumin Zheng & Yongsheng Wang, 2022. "Spatial‐temporal evolution and influence factors of China’s agricultural non‐point source pollution discharge intensity in recent 40 years," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1170-1189, September.

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