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:: Volume 11, Issue 4 (2-2024) ::
jgit 2024, 11(4): 1-20 Back to browse issues page
Evaluation of SEBAL and METRIC algorithms to estimate evaporation over fresh and saline water bodies (case study: Urmia Lake, Dez reservoir, and Karkhe reservoir)
Ramin Ghahreman , Majid Rahimzadegan *
Faculty of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran
Abstract:   (288 Views)
Evaporation over the surface of water bodies is regarded as one of the main sources of water loss. Various model based on satellite imagery have been introduced to estimate evaporation. Accurate realization of performance of each model to estimate evaporation over water bodies is one of the critical issues in the water balance and water resource management. Hence, the purpose of this study was implementation and evaluation of initial version of Surface Energy Balance Algorithm for Land (SEBAL) and Mapping Evapotranspiration at high Resolution and with Internalized Calibration (METRIC) algorithms over Urmia Lake, Karkhe reservoir, and Dez reservoir. It was performed using 25 Moderate Resolution Imaging Spectroradiometer (MODIS) images in 2020.  Regarding restriction on accessibility to the required meteorological data to run the relevant models in Iran, the consequences of using various synoptic station data, which located at the lake neighborhood was investigated. The obtained results of monthly mean evaporation showed that METRIC model over saline water has good efficiency against the measurement value with coefficient of determination (R2)=0.98 and Root Mean Square Error (RMSE) of 0.13(mm), and over the freshwater with R2=0.89 and RMSE=0.7(mm). The difference was that the bias of METRIC model on saline water is higher than freshwater. Nevertheless, due to inaccessibility to the daily solar net radiation and according to the results, initial version of SEBAL model over saline and fresh water have resulted in more bias and unacceptable result against in situ measurement. The analysis of the results showed that because of the Dez and Karkhe reservoir have same climate condition and their geographical location is close to each other, the obtained result of evaporation value in both of dam were close to each other.
Keywords: Energy balance, Urmia lake, reference evapotranspiration, Evaporation, Remote sensing
Full-Text [PDF 1535 kb]   (109 Downloads)    
Type of Study: Research | Subject: RS
Received: 2021/08/27 | Accepted: 2021/11/8 | ePublished ahead of print: 2024/02/18 | Published: 2024/03/4
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Ghahreman R, Rahimzadegan M. Evaluation of SEBAL and METRIC algorithms to estimate evaporation over fresh and saline water bodies (case study: Urmia Lake, Dez reservoir, and Karkhe reservoir). jgit 2024; 11 (4) :1-20
URL: http://jgit.kntu.ac.ir/article-1-849-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 11, Issue 4 (2-2024) Back to browse issues page
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
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