Journal of Ecohydrology

Journal of Ecohydrology

Estimation of Real Evapotranspiration of Wheat and Rapeseed Using SEBAL Algorithm (Case Study: Esmaeil Abad Agricultural Research Station in Qazvin Province)

Document Type : Research Article

Authors
Mahdi Younesi 1
Mahmoud Mashal 2
Afshin Yousef Gomrokchi 3
1 .Sc. Student of Irrigation and Drainage, Department of Irrigation and Drainage Engineering, College of Aburaihan, University of Tehran, Tehran, Iran
2 Department of Irrigation and Drainage Engineering, College of Aburaihan, University of Tehran, Tehran, Iran
3 Agricultural Engineering Research Department, Qazvin Agricultural and Natural Resources Research and Education Center, AREEO, Qazvin, Iran
10.22059/ije.2022.339191.1609
Abstract
Evapotranspiration is a complex phenomenon that depends on many factors and data, so determining it is very difficult and costly. In most methods mainly aimed at estimating evapotranspiration, point measurements have been used to estimate this variable. Therefore, it is only suitable on a local scale and cannot be extended to large basins due to the dynamics and regional changes of evapotranspiration (ET). One of the remote sensing algorithms for estimating real evapotranspiration is the Surface Energy Balance Algorithms for Land (SEBAL). In this algorithm, by estimating all energy components on the land surface such as pure radiation flux, soil heat flux, and tangible heat flux, using the energy balance equation, evapotranspiration is used. The aim of this study is to compare the estimation of real evapotranspiration using SEBAL algorithm in wheat and rapeseed crops with the results of estimating evapotranspiration by Penman-Monteith-FAO method in the field of Esmaeil Abad Agricultural Research Station in 2019-2020. Single-sample T-test of ground surface temperature reflection index showed that the spectral reflection of wheat and rapeseed crops during phenological growth period had a significant difference. The results showed that the computational values of the two models are relatively good and the mean value of square root of error (RMSE) in estimating real evapotranspiration for wheat and rapeseed plants was 3.04 and 2.09 mm/day, respectively, and the coefficient of explanation (R2) was 0.78 and 0.81, respectively. The results showed that SEBAL algorithm model in comparison with Penman-Monteith-FAO model (based on up-to-date meteorological data) The amount of evapotranspiration for wheat and rapeseed plants is lower.
Keywords
Evapotranspiration
SEBAL
Penman-Monteith
Remote Sensing
Qazvin
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Journal of Ecohydrology
Volume 9, Issue 3
Autumn 2022
Pages 475-487

  • Receive Date 27 February 2022
  • Revise Date 19 April 2022
  • Accept Date 21 May 2022
  • First Publish Date 23 September 2022
  • Publish Date 23 September 2022