Genetic Programming-Based Empirical Model for Daily Reference Evapotranspiration Estimation

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

@Article{Guven:2008:clean,
  author =       "Aytac Guven and Ali Aytek and M. Ishak Yuce and 
                 Hafzullah Aksoy",
  title =        "Genetic Programming-Based Empirical Model for Daily
                 Reference Evapotranspiration Estimation",
  journal =      "CLEAN - Soil, Air, Water",
  year =         "2008",
  volume =       "36",
  number =       "10-11",
  pages =        "905--912",
  keywords =     "genetic algorithms, genetic programming,
                 Evapotranspiration Artificial intelligence, Gene
                 expression programming",
  DOI =          "DOI:10.1002/clen.200800009",
  abstract =     "Genetic programming (GP) is presented as a new tool
                 for the estimation of reference evapotranspiration by
                 using daily atmospheric variables obtained from the
                 California Irrigation Management Information System
                 (CIMIS) database. The variables employed in the model
                 are daily solar radiation, daily mean temperature,
                 average daily relative humidity and wind speed. The
                 results obtained are compared to seven conventional
                 reference evapotranspiration models including: (1) the
                 Penman-Monteith equation modified by CIMIS, (2) the
                 Penman-Monteith equation modified by the Food and
                 Agricultural Organization (FAO 56), (3) the
                 Hargreaves-Samani equation, (4) the solar
                 radiation-based ET0 equation, (5) the Jensen-Haise
                 equation, (6) the Jones-Ritchie equation, and (7) the
                 Turc method. Statistical measures such as average,
                 standard deviation, minimum and maximum values, as well
                 as criteria such as mean square error and determination
                 coefficient are used to measure the performance of the
                 model developed by employing GP. Statistics and scatter
                 plots indicate that the new equation produces quite
                 satisfactorily results and can be used as an
                 alternative to the conventional models.",
  notes =        "Acta hydrochimica et hydrobiologica

                 Correspondence to Ali Aytek, Gaziantep University,
                 Department of Civil Engineering, Hydraulics Division,
                 Gaziantep, Turkey",
}

Genetic Programming entries for Aytac Guven Ali Aytek M Ishak Yuce Hafzullah Aksoy

Citations