• DocumentCode
    510133
  • Title

    Fuzzy Evaluation of River Basin Water Resources Allocation

  • Author

    Wang, Haofang ; Chen, Wenyan

  • Author_Institution
    Sch. of Civil Eng., Shandong Univ., Jinan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    496
  • Lastpage
    499
  • Abstract
    River basin water resources allocation is a complicated multi-scale system related to water resources, social economy and ecological environment. Water quantities allocated to living, industry, agriculture and ecology are chosen as the four indicators to evaluate the river basin water resources allocation´s effect on social economic sustainable development in this paper. Making use of variable fuzzy evaluation method to evaluate Haihe river basin water resources allocation scheme. The evaluation results show that the allocation scheme is reasonable, and the water users are able to basically meet the development needs in 2010 level year. By adjusting the industrial structure, agricultural plant structure and improvement of water use efficiency, Haihe River basin will realize sustainable development. Therefore the allocation scheme is reasonable and practicable.
  • Keywords
    fuzzy set theory; sustainable development; water resources; ecological environment; multi-scale system; river basin water resources allocation; social economic sustainable development; social economy; variable fuzzy evaluation method; Agriculture; Economic indicators; Environmental economics; Environmental factors; Industrial economics; Plants (biology); Resource management; Rivers; Sustainable development; Water resources; Haihe River Basin; variable fuzzy evaluation; water resources allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.189
  • Filename
    5376280