• DocumentCode
    2041495
  • Title

    Regional frequency analysis of rainfall extremes in the Pearl River Basin using L-moments method

  • Author

    Yang, Tao ; Wang, Xiaoyan ; Hao, Xiaobo ; Li, Huihui

  • Author_Institution
    State Key Lab. of Hydrol.-Water Resources & Hydraulics Eng., Hohai Univ., Nanjing, China
  • Volume
    6
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    2647
  • Lastpage
    2651
  • Abstract
    This paper presents a method for regional frequency analysis of rainfall-extreme regimes in the Pearl River Basin (PRB) using the well-known L-moments approach. Results indicate that: (1) The entire Pearl River Basin (40 sites) can be categorized into 6 regions by cluster analysis together with consideration of the topography and spatial patterns of mean precipitation in the basin. The results of goodness-of-fit measures indicate that the GNO, GLO, GEV, and PE3 distributions fit well for most of the basin for different HOM regions, but their performances are slightly different in term of curve fitting; (2) The estimated quantiles and their biases approximated by Monte Carlo simulation demonstrate that the results are reliable enough for the return periods of less than 100 years; (3) The spatial variations of precipitation in different return periods (Return period=1, 10, 50 and 100 years) increase from the upstream to downstream at the regional scale. To the best of our knowledge, this study is the first attempt to conduct a systematic regional frequency analysis on various annual precipitation extremes in the Pearl River Basin and even in China. These findings are expected to contribute to exploring the complex spatio-temporal patterns of extreme rainfall in this basin in order to reveal the underlying linkages between precipitation and floods from a broad geographical perspective.
  • Keywords
    Monte Carlo methods; floods; rain; rivers; statistical analysis; topography (Earth); China; GEV distribution; GLO distribution; GNO distribution; HOM regions; L-moments approach; Monte Carlo simulation; PE3 distribution; Pearl River Basin; annual precipitation extremes; cluster analysis; complex spatiotemporal patterns; curve fitting; floods; mean precipitation; rainfall-extreme regimes; regional frequency analysis; regional scale; return periods; spatial patterns; spatial variations; topography; Artificial neural networks; Estimation; Floods; Monte Carlo methods; Rivers; Systematics; Water resources;
  • 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.2010.5569801
  • Filename
    5569801