Ram Naresh*, Mukesh Kumar, Sanjay Kumar and M.S. Sidhpuria
Department of Soil and Water Engineering, CCS HAU Hisar
Email: ramnaresh.hau@gmail.com
Received-07.02.2022, Revised-18.02.2022, Accepted-26.02.2022
Abstract: The study was conducted to evaluate performance of fuzzy logic (FL) models to estimate reference evapotranspiration (ET0) for semi-arid region of Haryana state and results were compared against standard FAO Penman-Monteith method. 10 years data (2009-2018) consisted of maximum temperature, minimum temperature, relative humidity; wind speed and sun shine hours was acquired from the Meteorological observatory at CCS HAU Hisar. FL with grid partition and eight membership functions, two optimization methods and two output types were evaluated to reach at the best performance. The models output were evaluated using four different statistical parameters viz. root mean square error (RMSE), correlation coefficient (R) and model efficiency (ME). Performance for FL with grid partition was found best with hybrid optimization, linear type output and triangular membership function with RMSE, R, R2 and ME values of 0.314, 0.984, 0.969 and 0.967 respectively Study outcome recommends FL with grid partition as a handy tool in quick and accurate prediction of reference evapotranspiration.
Keywords: Evapotranspiration, Penman-Monteith, fuzzy logic, training method, grid partition
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