• DocumentCode
    3596873
  • Title

    Research on Parameter Sensitivity Analysis of Distributed Hydrological Model in Karst Watershed

  • Author

    Yu, Tian ; Xiaohui, Lei ; Hao, Wang ; Yunzhong, Jiang

  • Author_Institution
    Sch. of Civil Eng., Tianjin Univ., Tianjin, China
  • Volume
    1
  • fYear
    2010
  • Firstpage
    200
  • Lastpage
    203
  • Abstract
    Irrational use of water resources in Karst regions, resulting in the fragile environment for further deterioration, native vegetation degradation, soil erosion, desertification intensified, frequent occurrence of floods, therefore, it is import to explore the methodologies to accurately simulate the water cycle process in Karst river basin. The paper applies local sensitivity analysis method and LH-OAT algorithm to distributed hydrological simulation of Karst river basin, finds out the most sensitive parameters, simulation results has improved significantly, the Nash efficient coefficient increases from 0.3 to 0.7, and the difference of annual runoff in each year is less than 15%, provides a good suggestion for the future construction and application of distributed hydrological model in typical Karst watershed, which has significant scientific meaning.
  • Keywords
    distributed processing; geographic information systems; hydrological techniques; parameter estimation; sensitivity; water resources; Karst river basin; Karst watershed; distributed hydrological model; local sensitivity analysis; parameter sensitivity analysis; water cycle process; water resources; Algorithm design and analysis; Analytical models; Calibration; Computational modeling; Rivers; Sensitivity analysis; Karst watershed; LH-OAT algorithm; distributed hydrological model; parameter sensitivity analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications (IFITA), 2010 International Forum on
  • Print_ISBN
    978-1-4244-7621-3
  • Electronic_ISBN
    978-1-4244-7622-0
  • Type

    conf

  • DOI
    10.1109/IFITA.2010.104
  • Filename
    5635123