Estimation of evaporation from reservoirs in arid and semi-arid regions is a crucial issue in water resource management. This paper presents the application of Artificial Neural Networks (ANN) and climate-based models (Penman, Priestley and Taylor, and Stephens and Stewart) for estimating evaporation from the Algardabiya Reservoir in Sirt, Libya. Daily meteorological data were collected from 2004 to 2006 and used to develop models for evaporation estimation. The meteorological variables included daily observations of air temperature, relative humidity, and wind speed. Statistical analysis was undertaken to verify the accuracy of the models. Results show that the ANN model estimations have better agreement with observed evaporation data compared to the climate-based models.

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