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Rational Function Method for Allocating Water Resources in the Coupled Natural-Human Systems

Author

Listed:
  • Dedi Liu

    (Wuhan University
    Wuhan University)

  • Shenglian Guo

    (Wuhan University
    Wuhan University)

  • Pan Liu

    (Wuhan University
    Wuhan University)

  • Hui Zou

    (Wuhan University
    Wuhan University)

  • Xingjun Hong

    (Wuhan University)

Abstract

Allocating water resources in coupled natural-human systems is largely determined by available water (W), water demand (D), water demand and the regional characteristics of water resources management (m). As the interactions among these factors have evolved with hydrological and societal changes in the environment, water resources allocation models based on optimization and simulation techniques become more complicated and are challenged to meet the requirements of generating detailed but simple simulations that yield practical allocation results. Unlike the simulation-optimization model, we have proposed a rational function method for allocating water resources based on the physical mechanism of water use. The validity of the proposed method has been examined through the comparison of results from the Mike Basin optimal water resources allocation model. The sensitivity and the controlling factors of the rational function method are analyzed theoretically and applied in our case study. The result of the absolute value of mean percentage error (MPE) in every study unit is less than 2%, which indicates that the estimated the amounts of water resources allocation from proposed model agree well with the performance of the MIKE BASIN model. We have also identified two critical values at W / D = 1 and m = 2. The index of water richness (W / D) plays more important role than m when m > 2 and a lesser role when m

Suggested Citation

  • Dedi Liu & Shenglian Guo & Pan Liu & Hui Zou & Xingjun Hong, 2019. "Rational Function Method for Allocating Water Resources in the Coupled Natural-Human Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(1), pages 57-73, January.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:1:d:10.1007_s11269-018-2088-0
    DOI: 10.1007/s11269-018-2088-0
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    References listed on IDEAS

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    1. Low, Bobbi & Costanza, Robert & Ostrom, Elinor & Wilson, James & Simon, Carl P., 1999. "Human-ecosystem interactions: a dynamic integrated model," Ecological Economics, Elsevier, vol. 31(2), pages 227-242, November.
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    3. Dedi Liu & Xiaohong Chen & Teddy Nakato, 2012. "Resilience Assessment of Water Resources System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(13), pages 3743-3755, October.
    4. Dedi Liu & Xiaohong Chen & Zhanghua Lou, 2010. "A Model for the Optimal Allocation of Water Resources in a Saltwater Intrusion Area: A Case Study in Pearl River Delta in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(1), pages 63-81, January.
    5. K. Hassaballah & A. Jonoski & I. Popescu & D. Solomatine, 2012. "Model-Based Optimization of Downstream Impact during Filling of a New Reservoir: Case Study of Mandaya/Roseires Reservoirs on the Blue Nile River," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(2), pages 273-293, January.
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    Cited by:

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    2. Dahai Yu & Chang You, 2024. "Exploring the Impact of Climate Variables and Scenario Simulation on Ecosystem Service Value Profits and Losses in China," Land, MDPI, vol. 13(11), pages 1-26, November.

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