F A; S A; K KH; J B
Abstract
Evapotranspiration is one of the important components of hydrologicalcycle whose accurate estimate is needed for design and management ofirrigation systems, simulation of crops products, and programming waterresources management. In this research, to predict monthly referenceevapotranspiration, ANFIS ...
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Evapotranspiration is one of the important components of hydrologicalcycle whose accurate estimate is needed for design and management ofirrigation systems, simulation of crops products, and programming waterresources management. In this research, to predict monthly referenceevapotranspiration, ANFIS and GP models were employed and 38 years(1973-2010) of data were collected from six synoptic weather stationslocated in the northwest of Iran. At first, monthly referenceevapotranspiration was estimated by FAO-Penman-Montieth method forthe selected stations and was considered as the output of GP and ANFISmodels. Then, a regression equation between effective meteorologicalparameters and evapotranspiration was fitted and different input patternsfor the models were determined. Relative humidity as the less effectiveparameter was deleted from input of the models. Also, in this study, toinvestigate effect of “memory” on prediction of evapotranspiration, one,two, three and four months lags were used as the input of the models.Results showed that both models estimated monthly evapotranspirationwith high accuracy, but ANFIS model was better than GP model.