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Genetic Programming: An Approach for Evapotranspiration Modeling

Publication Date : 10/07/2015



Author(s) :

Shreenivas N. Londhe , Girija S. Mulay.


Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India



Abstract :

Estimation of evapotranspiration (ET) requires knowledge of the values of many climatic variables, some of which require special equipment and careful observations. Although ET is an important component of water balance, the data required for its accurate estimation are commonly available only at widely spaced measurement stations. Genetic programming (GP) is the technique adopted in this paper for modeling of evapotranspiration using 3 stations of Florida. Models were created using measured inputs (solar radiation, mean temperature, average relative humidity and wind speed) and observed output (evapotranspiration). The results obtained were compared with convention evapotranspiration estimation. The criterions of root mean square error and coefficient of correlation are used to measure the performance of the model developed by employing GP. The error measures indicate that the new equation produced by G and can be used as an alternative to the conventional models.


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