Daily reference evapotranspiration modelling by using genetic programming approach in the Basque Country (Northern Spain)

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@Article{Shiri2012302,

• author = "Jalal Shiri and Ozgur Kisi and Gorka Landeras and Jose Javier Lopez and Amir Hossein Nazemi and Louis C. P. M. Stuyt",
• title = "Daily reference evapotranspiration modelling by using genetic programming approach in the Basque Country (Northern Spain)",
• journal = "Journal of Hydrology",
• volume = "414-415",
• pages = "302--316",
• year = "2012",
• ISSN = "0022-1694",
• DOI = "doi:10.1016/j.jhydrol.2011.11.004",
• URL = "http://www.sciencedirect.com/science/article/pii/S0022169411007670",
• keywords = "genetic algorithms, genetic programming, Evapotranspiration, Neuro-fuzzy system, ET_0 equations, Basque Country",
• abstract = "Evapotranspiration, as a major component of the hydrological cycle, is of importance for water resources management and development, as well as for estimating the water budget of irrigation schemes. This study presents a Gene Expression Programming (GEP) approach, for estimating daily reference evapotranspiration (ET0) in four weather stations in Basque Country (Northern Spain), for a 5-year period (1999-2003). The data set comprising air temperature, relative humidity, wind speed and solar radiation was employed for modelling ET0 using FAO-56 Penman Monteith equation as the reference. The GEP results were compared with the Adaptive Neuro-Fuzzy Inference System (ANFIS), Priestley-Taylor and Hargreaves-Samani models. Based on the comparisons, the GEP was found to perform better than the ANFIS, Priestley-Taylor and Hargreaves-Samani models. The ANFIS model is ranked as the second best model.",

}

Genetic Programming entries for Jalal Shiri Ozgur Kisi Gorka Landeras Jose Javier Lopez Amir Hossein Nazemi Louis C P M Stuyt

Citations