• DocumentCode
    2026259
  • Title

    Application of assessment model based on cloud model in water resources carrying capacity in Taohe river basin

  • Author

    Chen Haitao ; Duan Chunqing ; Lin Qiu ; Xiaonan Chen

  • Author_Institution
    Dept. of Water Sci., North China Inst. of Water Conservancy & Hdroelectric Power, Zhengzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    819
  • Lastpage
    822
  • Abstract
    In order to evaluate water resources capacity, a new assessment model based on cloud theory is proposed. Considering the fuzzy and stochastic feature in assessment, the new model can realize greatly the conversion from qualitative conception to quantitative model. Take the new model into evaluation of water resources carrying capacity. Evaluation model based on cloud theory can not only show the fuzzy feature of grade, but also indicate random attribute of the degree by hyper entropy. The method is developed to evaluate water resources carrying capacity of Taohe river basin, and the results show that new evaluation methods is feasible and can effectively evaluate water resources carrying level.
  • Keywords
    hydrological techniques; rivers; water resources; China; Taohe River basin; assessment model; cloud theory; evaluation model; fuzzy feature; hyper entropy; stochastic feature; water resource carrying capacity; water resource carrying level; Biological system modeling; Clouds; Entropy; Generators; Indexes; Rivers; Water resources; Taohe river basin; cloud theory; evaluation methods; water resources carrying capacity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569210
  • Filename
    5569210