Estimating reference evapotranspiration for Shahat region in Libya  using genetic programming

Osama A. Abdelatty; Mohamed A. Momen

doi:10.54172/2ma3bd67

Authors

Osama A. Abdelatty Department of Soil and Water, Faculty of Agriculture, Omar Al-Mukhtar University, Libya Author
Mohamed A. Momen Department of Soil and Water, Faculty of Agriculture, Omar Al-Mukhtar University, Libya Author

DOI:

https://doi.org/10.54172/2ma3bd67

Keywords:

Reference Evapotranspiration, Genetic Programming, FAO Penman-Monteith Equation, Shahat Region

Abstract

This study was conducted to estimate the reference evapotranspiration (ETo) for Shahat region in Libya using the genetic programming (GP) model compared to the FAO Penman-Monteith equation (FPM56). The climatic data of Shahat Meteorological Station was used for the period from 1963 to 1999. Six different combinations of available meteorological variables were used, such as the average air temperature (T_mean), the average relative humidity (RH_mean), and the extraterrestrial radiation (R_a). The latter is calculated as a function of the location and time during the year. The GP model was trained using 70% of the climatic data and tested using the remaining 30%. The values of the statistical indicators obtained in this study showed that the root mean square error (RMSE), coefficient of determination (R²), and Nash-Sutcliffe coefficient of efficiency (NSE) ranged between 0.26 and 0.98 (mm.day^-1); 0.67 and 0.98; 0.66 and 0.98, respectively during the testing period. Therefore, GP models represent a great option to estimate ETo, when climatic data are scarce.

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