• DocumentCode
    3350792
  • Title

    Application of Genetic Programming to Identifying Water-Level and Storage-Capacity Curve of the Xingxingshao Reservoir

  • Author

    Li Hongyan ; Jiang Shan ; Bao Xinhua

  • Author_Institution
    Hydrol. & Water Resources Dept., Jilin Univ., Changchun
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Water-level and storage-capacity curve (WSC) fitting is the foundation and key link of reservoir flood routing programming. Also, its precision directly determines the accuracy of flood routing. In this paper, based on the measured hydrological data, the correlations of water-level and storage-capacity are identified using genetic programming (GP), and the equations of water-level and storage-capacity curve are established. Then, the research results are applied to the feasibility study to enhance the flood limit level of Xingxingshao reservoir. And the results indicate that, compared to the measured data, the water-level and storage-capacity curve identified by GP has a more satisfied accuracy, which provides a fundamental guarantee for the accurate flood routing.
  • Keywords
    curve fitting; genetic algorithms; geophysics computing; level measurement; reservoirs; Xingxingshao reservoir; genetic programming; reservoir flood routing programming; storage-capacity curve fitting; water-level curve; Floods; Genetic mutations; Genetic programming; Hydrology; Interpolation; Performance evaluation; Reservoirs; Routing; Water resources; Water storage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918182
  • Filename
    4918182