Regression Models for Predicting Reference Evapotranspiration

N.Manikumari; G.Vinodhini

doi:https://doi.org/10.14445/22315381/IJETT-V38P224

Research Article | Open Access | Download PDF

Volume 38 | Number 1 | Year 2016 | Article Id. IJETT-V38P224 | DOI : https://doi.org/10.14445/22315381/IJETT-V38P224

Regression Models for Predicting Reference Evapotranspiration

N.Manikumari, G.Vinodhini

Citation :

N.Manikumari, G.Vinodhini, "Regression Models for Predicting Reference Evapotranspiration," International Journal of Engineering Trends and Technology (IJETT), vol. 38, no. 1, pp. 134-139, 2016. Crossref, https://doi.org/10.14445/22315381/IJETT-V38P224

Abstract

The FAO-56 Penman-Monteith method is a universally adopted method for computing Reference crop Evapotranspiration (ET0) approved worldwide to arrive Crop Evapotranspiration. The main focus of this work is to model the Reference evapotranspiration by three different regression models including the Multi Linear Regression (MLR) and Support Vector Regression (SVR) models. The analysis was carried out based on the data collected in the command area of Veeranam tank system during the period 1987 –2008 in India. Veeranam tank is one of the major irrigation tanks that forms part of Cauvery basin, the largest river basin of Tamilnadu, India. The results were compared with Penman–Monteith (FAO-PM) to select the best model. The results show that all models provided a closer agreement with the calculated values for FAOPM (R2 > 0.98). However, the SVR model gives better estimates than the other two models for estimating Reference evapotranspiration (ET0). The results showed that both SVR models provided better Root Mean Square (RMSE), Mean Absolute Error (MAE) and Correlation coefficient (R2).

Keywords

water; irrigation; regression; evapotranspiration.

References

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