Using of SEBAL algorithm and MODIS sensor images to estimate actual evapotranspiration (Case study: Urmia Lake catchment)

Document Type : Case study paper

Authors

1 university yazd

2 Assistant Professor, Faculty of Natural Resources and Desertification, Yazd University

3 Professor Baku State University of Civil Engineering

4 Associate Professor of Economics and Finance of the Russian Academy of Finance

Abstract

Evapotranspiration is one of the most effective components of the water balance of a catchment area in arid and semi-arid regions of the world, and its correct estimation is very important for the optimal management of the country's water resources. In this study, using SEBAL algorithm and MODIS sensor satellite images, was estimated the actual evapotranspiration rate of Lake Urmia catchment. Lysimetric data were used to evaluate the accuracy of the actual evapotranspiration rate results. A number of MODIS sensor products along with ground data were used to generate the three major semesters of energy balance fluxes. The converted images were imported into ILWIS software. Finally, R2, MBE and RMSE statistical indices were used to evaluate the performance of the algorithm.The results showed that the highest amount of net radiation reached the earth's surface occurred in May and the maximum amount of noticeable radiation flux occurred in April. Among the terms of energy balance fluctuations, the earth heat flux term has the least effect. The highest rate of actual evapotranspiration occurs in July and the total annual height of actual evapotranspiration is 1748 mm, of which about 65% occurs between May and October. The value of R2 index was 0.84, MBE was 0.53 mm and RMSE was 1.3 (indicating the acceptable accuracy of the algorithm). Spatial pattern of evapotranspiration showed that agricultural lands located in the western, southern and eastern parts of the catchment have the highest values of actual evapotranspiration height and time changes showed that the values of actual evapotranspiration height increased from April to July.

Keywords