Sensitivity Analysis of Calculated Evapotranspiration Using Daily Energy Balance Model and Comparing it with SEBAL Model

Document Type : Original Article

Authors

1 M.Sc. Student of Remote Sensing and GIS, Department of Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran,

2 Associate Professor of Remote sensing and GIS Group, Department of Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran.

3 Associate Professor of Water Sciences and Engineering Department, Faculty of Engineering and Technology, Imam Khomeini International University, Qazvin, Iran

4 Assistant Professor of Civil, water and environmental Engineering Faculty, Abbaspour School of Engineering, Shahid Beheshti University, Tehran, Iran

5 Assistant Professor of Agricultural & Natural resources research centre Of Chaharmahal & Bakhtiari province, Shahrkord, Iran

Abstract

 
Nowadays, a lot of models are offered by researchers to estimate surface evapotranspiration (ET) based on meteorological and remote sensing data. Quality of prepared/processed input data has a pivot role on final accuracy of calculated actual ET. In this regard, inputs of a model should be evaluated cautiously before starting the study regarding the effect of each data on the model outputs as well as the required processing cost and time. In this study, actual ET in Shahrkord plain was calculated using Landsat8 satellite images and the proposed daily energy balance model. Results showed a good consistency with lysimeter, pan evaporation and potential ET. The sensitivity of calculated ET to key parameters of the model was then studied with different density of canopy and ET on Julian days of 147, 195, and 291 in 32 control points. Finally, these results were compared with the sensitivity analysis results of SEBAL model studied previously by Khavarian Nahzak (2004). The results showed that the data of group A including air temperature, land surface temperature (LST), income short radiation, and sunny hours, group B including relative humidity and albedo, and group C including the sensitivity of leaf area index and wind have high, medium to high, and low to medium sensitivity, respectively. Thus, it is recommended recording the most sensitive data with more accuracy. Finally, the sensitivity analysis results of proposed daily model showed a considerable similarity with SEBAL model, except for LST.

Keywords

References

 
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History

  • Receive Date: 20 June 2015
  • Accept Date: 30 December 2015

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