Water cycle estimation by neuro-fuzzy approach

Water cycle shows the continuous movement of water above and below surface. The water moves could involves the energy exchange which can lead to temperature changes. It is crucial to elaborate the energy exchange in relation to climate changing. Evapotranspiration is one of the most important part of the water cycle. Evaporation presents the water movement to the air and transpiration presents the water movements within a plant. Since the evapotranspiration is very important parameter for climate change, in this article the main aim was to estimate the evapotranspiration based on different climatic parameters such as air temperature, vapor pressure and humidity. Neuro-fuzzy approach was used for the process modeling since the evapotranspiration is very unpredictable factor with strong fluctuation through year. The results could be used for evapotranspiration estimation based on the climate data in order to improve water resources management for agricultural production and irrigation scheduling. (C) 2017 Elsevier B.V. All rights reserved.