Rainfall-runoff modelling using genetic programming

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

@Article{Rodriguez-Vazquez:2012:JH,
  author =       "K. Rodriguez-Vazquez and M. L. Arganis-Juarez and 
                 C. Cruickshank-Villanueva and R. Dominguez-Mora",
  title =        "Rainfall-runoff modelling using genetic programming",
  journal =      "Journal of Hydroinformatics",
  year =         "2012",
  volume =       "14",
  number =       "1",
  pages =        "108--121",
  keywords =     "genetic algorithms, genetic programming, NARMAX model,
                 rainfall-runoff modelling",
  ISSN =         "1464-7141",
  URL =          "http://www.iwaponline.com/jh/014/0108/0140108.pdf",
  DOI =          "doi:10.2166/hydro.2011.105",
  size =         "14 pages",
  abstract =     "This paper presents the application of genetic
                 programming to the generation of models to assess the
                 total runoff of a basin starting from the total
                 rainfall in it and using data recorded in a sub-basin
                 at the valley of Mexico (the Mixcoac sub-basin to the
                 west of Mexico City). The modelling process is
                 developed contrasting two types of models with
                 different complexity degree: (1) a nonlinear model
                 whose complexity is resolved using multi-objective
                 optimisation and (2) a nonlinear model with a given
                 structure obtained by means of a physical
                 interpretation of the dynamics of the direct and the
                 base flow. Data from two storms (rainfall and runoff),
                 one in 1997 and another in 1998, were used in testing
                 the models. First, the storm in 1997 was used for the
                 calibration step and that in 1998 for the validation
                 step. Afterwards, the order was reversed. An
                 interpretation of the results, focused on the
                 applicability and possible improvement of the models in
                 forecasting runoff, is made through their discussion
                 and is summarised in the conclusions.",
  notes =        "ARMAX, flood",
}

Genetic Programming entries for Katya Rodriguez-Vazquez Maritza Liliana Arganis Juarez Carlos Cruickshank Villanueva Ramon Dominguez Mora

Citations