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Simulation-Based Inexact Rough-Interval Programming for Agricultural Irrigation Management: A Case Study in the Yongxin County, China

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  • H. Lu
  • G. Huang
  • L. He

Abstract

A simulation-based inexact rough-interval programming approach is proposed for agricultural irrigation management in a China’s rural region. The conjunctive use of multiple water sources is examined under a set of land-area, water-availability, environmental-standard, capital, and technical constraints. The formulated model presents capability in interpreting implication of various water-supply means on agricultural water-allocation plans, as well as handling highly-uncertain parameters existing in many real-world practices. A case study in the central-south China demonstrates the applicability of the proposed model. The modelling inputs of economy-related parameters are identified as conventional intervals based on the statistical data, while those of water availability are characterized as rough intervals by converting the predicted values from a distributed hydrological model. Scenarios of groundwater supplementation rates being 0, 20, 30 and 40 %, respectively are considered to generate optimal irrigation plans. Reasonable results are obtained, which are then used to analyze the impact of water-supplier variation on planning sustainable development strategies. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • H. Lu & G. Huang & L. He, 2012. "Simulation-Based Inexact Rough-Interval Programming for Agricultural Irrigation Management: A Case Study in the Yongxin County, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(14), pages 4163-4182, November.
    • Handle: RePEc:spr:waterr:v:26:y:2012:i:14:p:4163-4182
    DOI: 10.1007/s11269-012-0138-6
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    References listed on IDEAS

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    2. Mojtaba Shourian & S. Jamshid Mousavi, 2017. "Performance Assessment of a Coupled Particle Swarm Optimization and Network Flow Programming Model for Optimum Water Allocation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4835-4853, December.
    3. Wang, Youzhi & Guo, Shanshan & Yue, Qing & Mao, Xiaomin & Guo, Ping, 2021. "Distributed AquaCrop simulation-nonlinear multi-objective dependent-chance programming for irrigation water resources management under uncertainty," Agricultural Water Management, Elsevier, vol. 247(C).
    4. Jiaqi Zhang & Li He & Hongwei Lu & Jing Li, 2014. "Importance Analysis of Groundwater Remediation Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(1), pages 115-129, January.
    5. Ajay Singh & Sudhindra Panda, 2013. "Optimization and Simulation Modelling for Managing the Problems of Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(9), pages 3421-3431, July.
    6. Li, X.M. & Lu, H.W. & Li, J. & Du, P. & Xu, M. & He, L., 2015. "A modified fuzzy credibility constrained programming approach for agricultural water resources management—A case study in Urumqi, China," Agricultural Water Management, Elsevier, vol. 156(C), pages 79-89.
    7. Chen, Shu & Shao, Dongguo & Gu, Wenquan & Xu, Baoli & Li, Haoxin & Fang, Longzhang, 2017. "An interval multistage water allocation model for crop different growth stages under inputs uncertainty," Agricultural Water Management, Elsevier, vol. 186(C), pages 86-97.
    8. Zhang, Y.M. & Lu, H.W. & Nie, X.H. & He, L. & Du, P., 2014. "An interactive inexact fuzzy bounded programming approach for agricultural water quality management," Agricultural Water Management, Elsevier, vol. 133(C), pages 104-111.
    9. Singh, Ajay, 2014. "Simulation–optimization modeling for conjunctive water use management," Agricultural Water Management, Elsevier, vol. 141(C), pages 23-29.
    10. Zhisong Chen & Huimin Wang & Xiangtong Qi, 2013. "Pricing and Water Resource Allocation Scheme for the South-to-North Water Diversion Project in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1457-1472, March.

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