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

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Li:2009:APPEEC,
  author =       "Hongyan Li and Shan Jiang and Xinhua Bao",
  title =        "Application of Genetic Programming to Identifying
                 Water-Level and Storage-Capacity Curve of the
                 Xingxingshao Reservoir",
  booktitle =    "Asia-Pacific Power and Energy Engineering Conference,
                 APPEEC 2009",
  year =         "2009",
  month =        mar,
  pages =        "1--3",
  keywords =     "genetic algorithms, genetic programming, Xingxingshao
                 reservoir, reservoir flood routing programming,
                 storage-capacity curve fitting, water-level curve,
                 curve fitting, geophysics computing, level measurement,
                 reservoirs",
  DOI =          "doi:10.1109/APPEEC.2009.4918182",
  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.",
  notes =        "Also known as \cite{4918182}",
}

Genetic Programming entries for Hongyan Li Shan Jiang Xinhua Bao

Citations