• DocumentCode
    2752370
  • Title

    Neural network modelling of the 20-year flood event for catchments across the UK

  • Author

    Dawson, Christian W. ; Abrahart, Robert J. ; Shamseldin, Asaad Y. ; Wilby, Rob L. ; See, Linda M.

  • Author_Institution
    Dept. of Comput. Sci., Loughborough Univ., UK
  • Volume
    4
  • fYear
    2005
  • fDate
    July 31 2005-Aug. 4 2005
  • Firstpage
    2637
  • Abstract
    Limited use has been made of artificial neural networks for regionalisation purposes or for flood event estimation in ungauged catchments. This paper uses data from the Centre for Ecology and Hydrology´s Flood Estimation Handbook to predict the 20-year flood event for 850 catchments across the UK. Neural network solutions and stepwise multiple linear regressions are compared. The neural network solutions provided superior flood event predictions and their use for subsequent hydrological modelling and flood engineering applications is recommended.
  • Keywords
    ecology; floods; neural nets; regression analysis; artificial neural networks; flood engineering; flood event estimation; hydrological modelling; Artificial neural networks; Floods; Frequency estimation; Geography; Hydrologic measurements; Hydrology; Neural networks; Predictive models; Rivers; Storms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-7803-9048-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.2005.1556319
  • Filename
    1556319