IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/837919.html
   My bibliography  Save this article

Bilevel Multiobjective Programming Applied to Water Resources Allocation

Author

Listed:
  • Shiqi Fang
  • Ping Guo
  • Mo Li
  • Liudong Zhang

Abstract

Water allocation is an essential programming to support the sustainable development of Wuwei Basin, Gansu Province, China. To satisfy the demands of the decision makers (DMs) of each subarea and the total area, a bilevel multiobjective linear programming (BLMOLP) model is proposed. In the BLMOLP, DMs have a hierarchy of two levels—the upper level and the lower level DMs. In this paper, a fuzzy goal programming (FGP) approach is applied to solve the BLMOLP. Firstly, the upper level is solved and used as the tolerance for the lower level. Then the weights of each objective function in the lower level are evaluated. Finally, a satisfied optimization solution of the problem was calculated. The result suggests that the FGP is a simple and feasible approach to BLMOLP problems. The proposed method was applied to a case study for water resources allocation in Wuwei Basin. For four scenarios under consideration, the model can effectively balance the benefits among all regions and sections according to the priority of the upper level decision makers. The results indicate that comprehensive solutions have been obtained.

Suggested Citation

  • Shiqi Fang & Ping Guo & Mo Li & Liudong Zhang, 2013. "Bilevel Multiobjective Programming Applied to Water Resources Allocation," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-9, March.
  • Handle: RePEc:hin:jnlmpe:837919
    DOI: 10.1155/2013/837919
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2013/837919.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2013/837919.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2013/837919?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yunquan Zhang & Peiling Yang, 2022. "Agricultural Water Optimal Allocation Using Minimum Cross-Entropy and Entropy-Weight-Based TOPSIS Method in Hetao Irrigation District, Northwest China," Agriculture, MDPI, vol. 12(6), pages 1-18, June.
    2. Z. Ghaffari Moghadam & E. Moradi & M. Hashemi Tabar & A. Sardar Shahraki, 2023. "Developing a Bi-level programming model for water allocation based on Nerlove’s supply response theory and water market," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(6), pages 5663-5689, June.
    3. Shannak, Sa'd, 2022. "Optimizing dynamics of water-energy-food nexus in a desert climate," Energy Policy, Elsevier, vol. 164(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:837919. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.