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Deciding the embedding nonlinear model dimensions and data size prior to daily reference evapotranspiration modeling


Citation

Karimaldini, Fatemeh and Lee, Teang Shui and Abdollahi, Mohammadreza and Khalili, Najmeh (2010) Deciding the embedding nonlinear model dimensions and data size prior to daily reference evapotranspiration modeling. Australian Journal of Basic and Applied Sciences, 4 (11). pp. 5668-5674. ISSN 1991-8178

Abstract

Evapotranspiration is an integral part of the hydrologic cycle and an important component in water resource development and management. It is difficult to obtain an accurate formula for ETO estimation that is suitable to encompass all environments, because evapotranspiration is an incidental, nonlinear, complex and unsteady process. Soft computing models are able to handle noisy data from a dynamic and nonlinear system such as the evapotranspiration process. But, they do not have the ability of pre-processing before model development. In this study, the Gamma Test (GT) technique is applied to find the best input combination and number of sufficient data points for evapotranspiration modeling under humid and arid conditions. It was found that the minimum required variables to construct a good nonlinear model under arid conditions are the minimum and maximum air temperature and wind speed data. For humid conditions the minimum and maximum air temperature, solar radiation and mean relative humidity are the most effective variables.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: American-Eurasian Network for Scientific Information
Keywords: ANFIS model; Empirical formula; Evapotranspiration
Depositing User: Nabilah Mustapa
Date Deposited: 09 Dec 2015 06:25
Last Modified: 09 Dec 2015 06:25
URI: http://psasir.upm.edu.my/id/eprint/23151
Statistic Details: View Download Statistic

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