Rainfall-runoff modelling using genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @Article{Rodriguez-Vazquez:2012:JH,
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author = "K. Rodriguez-Vazquez and M. L. Arganis-Juarez and
C. Cruickshank-Villanueva and R. Dominguez-Mora",
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title = "Rainfall-runoff modelling using genetic programming",
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journal = "Journal of Hydroinformatics",
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year = "2012",
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volume = "14",
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number = "1",
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pages = "108--121",
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keywords = "genetic algorithms, genetic programming, NARMAX model,
rainfall-runoff modelling",
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ISSN = "1464-7141",
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URL = "http://www.iwaponline.com/jh/014/0108/0140108.pdf",
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DOI = "doi:10.2166/hydro.2011.105",
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size = "14 pages",
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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.",
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notes = "ARMAX, flood",
- }
Genetic Programming entries for
Katya Rodriguez-Vazquez
Maritza Liliana Arganis Juarez
Carlos Cruickshank Villanueva
Ramon Dominguez Mora
Citations