Comparison of the Remote Sensing Based-Energy Balance Models for Estimating Evaporation from Salin Lakes

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Khorsand Movaghar Mostafa; Sima Somayeh

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Journal: ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY Year:2019 | Volume:7 | Issue:2 Page(s): 155-175

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Title

Comparison of the Remote Sensing Based-Energy Balance Models for Estimating Evaporation from Salin Lakes

Author(s)

Khorsand Movaghar Mostafa | Sima Somayeh | Issue Writer Certificate

Keywords

EvaporationQ1

EvapotranspirationQ1

Energy BalanceQ1

Remote sensing based-modelsQ1

Urmia Lake ovinceQ2

Abstract

Evaporation is one of the principal components of the water balance equation in a basin. For large water bodies located in arid regions, particularly in endorheic basins, Evaporation loss is remarkable. Because of the considerable variation of hydro-meteorological variables over large basins, several models have been developed to estimate evapo-transpiration using remote sensing data. However, performance of such models over water bodies are questionable as they neither consider the lake geomorphology nor the water quality. Estimating Evaporation from saline lakes is more difficult than that of the fresh water because the interaction of salinity and Evaporation should also be considered. This study aims at comparing three Energy Balance models (EBMs) based on remote sensing data for estimating the rate of Evaporation from Urmia Lake, one of the largest hypersaline lake worldwide. To do this, for 5 clear sky days in 2010, three commonly used RS-Based EBMs including SEBAL, SEBS and SDDE were applied using MODIS satellite imageries and results were compared against each other. Although all three models are capable of capturing spatial variations of meteorological variables over the lake, the only model which has been specially developed for water bodies and can completely reflect the effect of water salinity on Evaporation is SDDE. The results indicate that the lowest lake-averaged Evaporation rate is obtained in the SEBAL V. 1 and SEBAL V. 2 models, respectively. While the highest lake-averaged Evaporation rates varies between the SEBS and SDDE models during the study days. Moreover, the Evaporation rates from the lake decreases from the central deep parts toward the coasts in SEBAL and SDDE. This pattern is more homogeneous in SDDE. However, for the SEBS model, the spatial variation of the wind strongly depends on the spatial pattern of the wind speed. Comparison of the models with the pan Evaporation data show that for most of the studied days, pan Evaporation rates are less than the models estimations. Therefore, single-station pan Evaporation measurements are inadequate to be used as representatives of Evaporation from large lakes.

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APA: Copy

Khorsand Movaghar, Mostafa, & Sima, Somayeh. (2019). Comparison of the Remote Sensing Based-Energy Balance Models for Estimating Evaporation from Salin Lakes. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, 7(2 ), 155-175. SID. https://sid.ir/paper/230128/en

Vancouver: Copy

Khorsand Movaghar Mostafa, Sima Somayeh. Comparison of the Remote Sensing Based-Energy Balance Models for Estimating Evaporation from Salin Lakes. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY[Internet]. 2019;7(2 ):155-175. Available from: https://sid.ir/paper/230128/en

IEEE: Copy

Mostafa Khorsand Movaghar, and Somayeh Sima, “Comparison of the Remote Sensing Based-Energy Balance Models for Estimating Evaporation from Salin Lakes,” ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, vol. 7, no. 2 , pp. 155–175, 2019, [Online]. Available: https://sid.ir/paper/230128/en

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