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Mouhouche B
Mouhouche B
Algeria
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Research Article
Conceptual Reference Evapotranspiration Models for Different Time Steps
Author(s): Laaboudi A, Mouhouche B and Draoui BLaaboudi A, Mouhouche B and Draoui B
The evapotranspiration is one of the basic components of the hydrologic cycle and is essential for estimating irrigation water requirements. The use of Artificial Neural Networks (ANNs) in estimation of reference evapotranspiration has received enormous interest in the present decade. This paper describes the results obtained using neural network techniques to improve the accuracy of reference evapotranspiration estimation in different situations. Because the Neural networks are proved to be parsimonious universal approximators of nonlinear function, we have exploited this property to build various models in situation of lack of meteorological parameters and in different time steps. The FAO-56 Penman–Monteith equation (PM) was used to compute the reference evapotranspiration values. The study showed that the neural network technique performed the best models even when it is fear.. View More»
DOI: 10.4172/2157-7463.1000123