DECISION SUPPORT SYSTEM FOR ESTIMATING REFERENCE EVAPOTRANSPIRATION WITH LIMITED METEOROLOGICAL DATA 1987
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Date
2015-05
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JAU,JUNAGADH
Abstract
Reference evapotranspiration (ETo) determination is a key factor for
water balance and irrigation scheduling. The FAO-56 Penman-Monteith
equation has been accepted universally for estimating of reference
evapotranspiration (ETo). This method demands number of climatic parameters
that are not always available in ungauged basin of India. The purpose of this
work is to present the new empirical equation for daily, weekly and monthly
estimation of ETo for study region, Junagadh (Gujarat), using limited number of
readily available weather parameters and to be able to estimate ETo with a
satisfactory degree of accuracy compared with Penman-Monteith estimations
(FAO-56 PM). To attain these four approaches adopted.
Temperature models with original coefficient were evaluated by
comparing with FAG 56 PM method. If satisfactory accuracy is not attained by the models, they are evaluated with recalibrated coefficients to get accuracy of prediction at par with FAQ 56 PM. Regression based equation were developed as a function of different combination of agro meteorological variables to predict reference evapotranspiration. ANN was also used to know the principal
components affecting the nonlinear ETo process.