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Prediction and Modelling of the Flow of a Typical Urban Basin through Genetic Programming

  • Julian Dorado
  • Juan R. Rabuñal
  • Jerónimo Puertas
  • Antonino Santos
  • Daniel Rivero
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2279)

Abstract

Genetic Programming (GP) is an evolutionary method that creates computer programs that represent approximate or exact solutions to a problem. This paper proposes an application of GP in hydrology, namely for modelling the effect of rain on the run-off flow in a typical urban basin. The ultimate goal of this research is to design a real time alarm system to warn of floods or subsidence in various types of urban basin. Results look promising and appear to offer some improvement over stochastic methods for analysing river basin systems such as unitary radiographs.

Keywords

Genetic Programming Daily Flow Unitary Impulse Average Daily Flow Danish Hydraulic Institute 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Julian Dorado
    • 1
  • Juan R. Rabuñal
    • 1
  • Jerónimo Puertas
    • 2
  • Antonino Santos
    • 1
  • Daniel Rivero
    • 3
  1. 1.Fac. InformáticaUniv. da CoruñaA CoruñaSpain
  2. 2.E.T.S.I.C.C.P.Univ. da CoruñaA CoruñaSpain
  3. 3.Fac. InformáticaUniv. da CoruñaA CoruñaSpain

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