Estimation of evaporation from reservoirs at arid and semi-arid regions is a very crucial issue. This paper presents application of Artificial Neural Networks (ANN) and climate based models (Penman, Priestley and Taylor and Stephens and Stewart), for estimation of evaporation from Algardabiya Reservoir, Sirt, Libya. The daily meteorological data were collected from the year of 2004 to 2006 and used to develop the model for evaporation estimation. The measured meteorological variables include daily observations of air temperature, relative humidity, and wind speed. The statistical analysis was undertaken to verify the accuracy of the studied models. The results of the climate based models and ANN models are compared with observed evaporation data from the reservoir. The comparison show that there is better agreement between the ANN model estimations and observed evaporation than the climate based models.

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