Daily Evapotranspiration Modeling from Limited Weather Data by Using Neuro-Fuzzy Computing Technique
Publication: Journal of Irrigation and Drainage Engineering
Volume 138, Issue 1
Abstract
Evapotranspiration is an integral part of the hydrologic cycle and an important component in water resource development and management, especially in the arid and semiarid conditions such as those found in Iran in which water resources are limited. The standard Food and Agricultural Organization of the United Nations (FAO)-56 Penman-Monteith (PM) equation requires several meteorological inputs for estimating reference evapotranspiration ( ) that are not usually available in most of the stations. This paper investigates the potential of the adaptive neuro-fuzzy computing technique (ANFIS) for daily reference evapotranspiration modeling under arid conditions from limited weather data. The gamma test technique is applied to find the best input combination and number of sufficient data points for the model calibration. The training and testing data sets are chosen on the basis of the -fold method of cross-validation to obtain the optimal classifier. The estimates of ANFIS models are compared with calibrated FAO-56 reduced-set PM approaches and some calibrated empirical equations such as Hargreaves, Priestley-Tailor, Makkink, and Blaney-Criddle equations. The FAO-56 full-set PM is adopted as the reference equation, and it is applied to calibrate other equations and ANFIS models. The comparison results indicate that when similar meteorological inputs are used, the ANFIS models performed better than all the methods pursued. This fact strongly suggests using ANFIS technique as an accurate estimator method even in the absence of complete weather data. The minimum required data to construct a good ANFIS model under arid conditions are the minimum and maximum air temperatures and wind speed data.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 138 • Issue 1 • January 2012
Pages: 21 - 34
Copyright
© 2012 American Society of Civil Engineers.
History
Received: Apr 5, 2010
Accepted: Jan 21, 2011
Published online: Jan 24, 2011
Published in print: Jan 1, 2012
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