New algebraic formulations of evapotranspiration extracted from gene-expression programming in the tropical seasonally dry regions of West Africa

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@Article{Traore20131,
  author =       "Seydou Traore and Aytac Guven",
  title =        "New algebraic formulations of evapotranspiration
                 extracted from gene-expression programming in the
                 tropical seasonally dry regions of West Africa",
  journal =      "Irrigation Science",
  year =         "2013",
  volume =       "31",
  number =       "1",
  pages =        "1--10",
  month =        jan,
  keywords =     "genetic algorithms, genetic programming, Gene
                 Expression Programming, Algebraic formulae, Burkina
                 Faso, Complex functions, Conventional methods, Critical
                 variables, Dry region, Meteorological data, Modelling
                 process, Predictive abilities, Reference
                 evapotranspiration, Sub-Saharan Africa, Weather data,
                 West Africa, Algebra,Meteorology, Water supply,
                 accuracy assessment, agrometeorology, climate
                 modelling, data set, seasonality, Burkina Faso, Joturus
                 pichardi",
  ISSN =         "0342-7188",
  URL =          "http://link.springer.com/article/10.1007%2Fs00271-011-0288-y",
  DOI =          "doi:10.1007/s00271-011-0288-y",
  size =         "10 pages",
  abstract =     "Within hydrological nonlinear complex functions,
                 taking only few parameters into the modelling process
                 is still a challenging task. The present paper has for
                 objective to investigate for the first time the
                 predictive ability of the Gene-expression Programming
                 (GEP) for modeling reference evapotranspiration (ETo)
                 using routing weather data from the tropical seasonally
                 dry regions of West Africa in Burkina Faso. The regions
                 under study are located in three agro-climatic zones,
                 Bobo Dioulasso in the Guinea Savanna zone, and Dedougou
                 and Fada N'Gourma in the Sudan zone, and Ouagadougou in
                 the Sudano-Sahelian Savanna zone. Several
                 meteorological data combinations are used as inputs to
                 the GEP to estimate ETo, and their performances are
                 evaluated using R-squared and RMSE. Statistically, it
                 was found that GEP can be an alternative to the
                 conventional methods, and its accuracy improves
                 significantly up to R-squared (0.979) and RMSE(0.108)
                 when critical variables are taking into account in the
                 model. The results revealed that GEP model is fairly a
                 promising approach with the advantage to provide
                 successfully simple algebraic formulas ease to use
                 without recourse to the full set of meteorological data
                 requirement for accurately estimate ETo in Sub-Saharan
                 Africa regions.",
  affiliation =  "Department of Irrigation Development and Planning of
                 the Ministry of Agricultural, Hydraulic and Fisheries
                 Resources, 03 BP 7053 Ouagadougou 03, Burkina Faso;
                 Department of Civil Engineering, University of
                 Gaziantep, 27310 Gaziantep, Turkey",
  correspondence_address1 = "Guven, A.; Department of Civil Engineering,
                 University of Gaziantep, 27310 Gaziantep, Turkey;
                 email: aguven@gantep.edu.tr",
  language =     "English",
  document_type = "Article",
}

Genetic Programming entries for Seydou Traore Aytac Guven

Citations