Reference evapotranspiration prediction using Heuristic approach with gamma test based on climate data

dc.contributor.advisorPravendra Kumar
dc.contributor.authorGupta, Sanjeev
dc.date.accessioned2021-03-23T05:45:50Z
dc.date.available2021-03-23T05:45:50Z
dc.date.issued2021-02
dc.description.abstractAccurate estimation of reference evapotranspiration (ETo) is critically significant in crop modelling, hydrological water simulation, irrigation scheduling and sustainable management because it accounts for more than two-thirds of global precipitation losses. Therefore, ETo based estimation is a key issue in the hydrological cycle. In this study, FAO-56 based Penman-Monteith (PM) method was used to estimate daily ETo which was considered as output to calibrate the models. Different soft computing and statistical techniques such as ANN, wavelet coupled ANN (WANN), ANFIS and MNLR were used to predict daily reference evapotranspiration in area of GKVK, Bengaluru. By using Gamma test, the best input combination of climatic variables (mean relative humidity, wind speed, sunshine hour, saturated and actual vapour pressure and solar radiation) was determined. The performance of the calibrated models was assessed qualitatively by visual interpretation and quantitatively using statistical and hydrological indicators such as coefficient of determination (R2), root mean square error (RMSE), coefficient of efficiency (CE) and Willmott index (WI). Additionally, sensitivity analysis was performed for the best developed model to see the effect of each parameter on model performance. The WANN-11 model was found as the best model compared to ANN-10, ANFIS-06 and MNLR models for prediction of reference evapotranspiration of the study area.en_US
dc.identifier.urihttps://krishikosh.egranth.ac.in/handle/1/5810162794
dc.keywordsevapotranspiration, Heuristic analysis, gamma radiation, climate change, data analysisen_US
dc.language.isoEnglishen_US
dc.pages129en_US
dc.publisherG.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand)en_US
dc.research.problemEvapotranspirationen_US
dc.subSoil and Water Conservationen_US
dc.themeClimate Changeen_US
dc.these.typeM.Tech.en_US
dc.titleReference evapotranspiration prediction using Heuristic approach with gamma test based on climate dataen_US
dc.typeThesisen_US
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