Estimation of Actual Evapotranspiration in the Urmia Lake Watershed Using SEBS Remote Sensing Algorithm and NOAA Satellite Images

Document Type : Research Article

Authors

1 MSc. Student of irrigation and drainage, Arak University

2 Assistant professor of irrigation and drainage, Arak University

Abstract

Evapotranspiration is one of the main components of the water balance in each region and also one of the key factors for proper planning and improving water efficiency in Faryab lands. Due to covering large areas, satellite images have better application for regional studies than weather station data to overcome the spatial constraints of Point method. Therefore, the purpose of this study is to estimate the actual evapotranspiration of Urmia lake watershed using the SEBS remote sensing and AVHR sensor images.  First, 248 images were obtained from AVHR sensor and NOVAA satellite and after the investigating of non-cloudiness are used in the period of 1998-2009. In order to making the estimation of evaporation more accurate, the case study divided into three parts: Saqes,Urmia ,and Tabriz. Actual evaporation has been calculated accompanied with the agricultural land use maps and compared with the pure irrigation requirement of the area. By calculating the evaluation indices of the model for Tabriz plain, RMSE and coefficient of determination were 10.89 and 0.79 respectively. The results showed that the trend of evapotranspiration changes has consistency with the pure irrigation requirement and the SEBS model has a good accuracy in the estimating of actual evapotranspiration for agricultural lands in different parts of the Urmia lake watershed

Keywords

Main Subjects

References

[1].  Sun Z, Wei B, Su W, Shen W, Wang C, You D, Liu Z. Evapotranspiration estimation based on the SEBAL model in the Nansi Lake Wetland of China. Mathematical and Computer Modelling.2011; 54(3): 1086-1092.
[2].  Norman J M, Kustas W P, Humes KS. Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature. Agricultural and Forest Meteorology. 1995; 77(3): 263-293.
[3].  Su ZB. A Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes from point to continental scale. Paper presented at the Spectra Workshop. 2002.
[4].  Bastiaanssen W, Pelgrum H, Wang J, Ma Y, Moreno J, Roerink G,Van der Wal T. A remote sensing surface energy balance algorithm for land (SEBAL). Part 2: Validation. Journal of hydrology. 1998; 212: 213-229
[5].  Menenti M, Choudhury B J. Parameterization of land surface evapotranspiration using a location dependent potential evapotranspiration and surface temperature range. In H.J. Bolle (Ed.). Proceedings of exchange processes at the land surface for a range of space and time scales. 1993; 212: 561-568.
[6].  Hailegiorgis W S. Remote sensing analysis of summer time evapotranspiration using SEBS algorithm: A case study in the Regge and Dinkel, The Netherlands. MSc Thesis. International Institute for Geoformation Science and Earth Observation. The Netherlands. 2006.
[7].  Su Z, Yacob A, Wen J, Roerink G, He Y, Gao B. Boogaard H, van Diepen C. Assessing relative soil moisture with remote sensing data: theory. experimental validation and application to drought monitoring over the North China Plain Physics and Chemistry of the earth, parts A/B/C, 2003; 28(1-3):89-101.
[8].  Rahimi khob, A. Determination of regional evapotranspiration and reference transpiration using Nova satellite images; A case study of Urmia Lake basin. Ph.D. thesis, Tarbiat Modarres University. 2005. [Persian].
[9].  Ziaee R, Moghaddasi M, Payamzad Sh, Bagheri M H. Estimation and Evaluation of Evaporation from Water Levels Using the SEBS Remote Sensing Algorithm and Comparison with SEBAL Algorithm, Case Study: Lake Urmia" Master's Thesis, Department of Irrigation and Drainage Engineering. Arak University. 2014. [Persian].
[10].            Pakparvar M, Cornelis W, Pereira L S, Gabriels D, HosseiniMarandi H, Edraki M, Kowsar S A. Remote sensing estimation of actual evapotranspiration and crop coefficients for a multiple land use arid landscape of southern Iran with limited available data. Journal of Hydroinformatics, 2014;16(6):1441–1460.
[11].            Bagheri M H. Remote Sensing Technology Assessment in Basin Water Scale. Determining the Purpose of Underground Water Consumption Case Study: Lake Urmia Basin. M.Sc. thesis, Water Resources Engineering Department. Tarbiat Modarres University. 2011. [Persian].
[12].            Farhadi Bansouleh B. Karimi A.R. Hesadi H. Estimation of Actual Evapotranspiration in Mahidasht using SEBS Algorithm and LANDSAT Images. Journal of Water and Soil. 2016;30(3):706-716. [Persian].
[13].            Mohammad Ebrahim M, Mohammadrezapour O, Akbarzadeh seghaleh H. Evaluating SEBES Model to Estimate Actual Evapotranspiration using ‎MODIS Sensor Data in Regional Scale (Case Study: Sistan Plain. Eco hydrology. 2018;4(4):1141-1150. [Persian]
[14].            Mozzan Zadeh R, Senior S, Heroin B, Davari K. Drought Monitoring in Non-Aqueous Cultures Using Remote Sensing Techniques, Water Management and Irrigation Management, 2012;2(2):52-32.[Persian]
[15].            Zzine H, Bouziane A, Ouazar D. Seasonal comparisons of meteorological and agricultural drought indices in Morocco using open short time-series data. International Journal of applied Earth observation and Geo-information; 2014.p. 36-38.
 
[16].            Rezaei Moghadam M H, Valizadeh Kamran Kh, Rostamzadeh H, Rezaei Ali. Assessing the Efficiency of Data Sensor Data in Drought Estimation (Case Study: Urmia Lake Basin). Geography and Environmental Studies. 2012;2(2):37-52.[Persian].
[17].            Rahimi Ali, Evaluation of several methods for estimating ground surface temperature using NOAA satellite imagery in the catchment area of Lake Urmia. Research and development in agriculture and horticulture. 2005;5(68): 84-90.[Persian]
[18].            Quaidrari H, Goward S N, czajkowski K P, sobrino J K, vermot E. Land surface temperature estimation from AVHRR Thermal infrared measurements an assessment for the AVHRR Land Pathfinder data set. Remote sensing of Environment. 2002;81: 114-128.
[19].            Heydarnejad M, Zare Erani M, Pakparvar M. Determining the accuracy of the SEBS model for estimating actual evapotranspiration in Yazd region. Geographic deserts of desert areas. 2013:16-1.[Persian].
[20].            Santos C A C D, Bezerra B G, Silva B B D, Rao T V R. Assessment of daily actual evapotranspiration with SEBAL and SSEBI algorithms in cotton crop. Revista Brasileirade Meteorologia. 2010;25(3):383-392.
 
 
 
Iranian journal of Ecohydrology
Volume 5, Issue 4
January 2019
Pages 1285-1296

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History

  • Receive Date: 22 April 2018
  • Revise Date: 03 October 2018
  • Accept Date: 17 October 2018

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