Application of the Fuzzy Logic Model for Prediction of the Monthly Evaporation Rate
Journal Title: GRD Journal for Engineering - Year 2019, Vol 4, Issue 0
Abstract
Evaporation is the most influencing parameter of the hydrologic cycle and it is a key component playing an important role for development and the management of various water resource projects in arid/semi-arid climatic regions. Fuzzy logic is being used widely as the decision-making tool. In various past studies, Fuzzy Logic has been used to predict the values of various hydrological parameters with much less error. Present study intended to determine the application of Fuzzy Logic to predict the monthly evaporation. A Fuzzy model was developed from the observed data of average monthly maximum temperature, wind speed, relative humidity, and water temperature from Jan-2017 to Jan-2018. The predicted values of evaporation, by Fuzzy model, are compared with the actual field observations to evaluate its performance.
Authors and Affiliations
Keval Jariwala, S. I. Waikhom, V. G. Yadav
Keywords
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