Evaluation the Effect of Uncertainties Caused by Soil Moisture Adjusted Factor on Actual Evapotranspiration Prediction

Document Type : Original Article

Author

Assistant Professor, Department of Soil and Water Engineering, Faculty of Agriculture, Shahrood University., Shahrood., Iran

Abstract

Since a significant amount of precipitation in the agricultural watersheds is used by evapotranspiration, so this parameter plays an important role in water budget and water resources management. Therefore, accurate estimation of this component is very important. SEBAL (Surface Energy Balance Algorithm for Land) belongs to the methods of estimating the actual evapotranspiration (ETact) which is based on remote sensing technique. In the structure of this algorithm several indices and empirical coefficients are used, each of them is effective for estimating actual evapotranspiration. In this study the effect of the uncertainty caused by the soil adjusted vegetation index (SAVI) values in the form of SEBAL algorithm was investigated on ETact prediction on the part of Neyshabour watershed. To determine the optimize value of SAVI, 2013 and 2014 MODIS satellite images were used and the effect of SAVI values uncertainty on ETact prediction was discussed in 2014. Comparison between estimated values and microlysimeter measurements of ETact in the discussed polygon showed that the minimum and maximum error of ETact estimation has been obtained for the amount of 0.2 (R2=0.99, RMSE=0.07) and 1 (R2=0.12, RMSE=0.6) for L coefficient in the SAVI index structure. The results of t-test also showed the significant differences at 95% (p<0.05) between measured and predicted values of ETact, using the whole rangeof L coefficient, except 0.2. 

Keywords

References

حسن پور،ب.، میرزایی،ف.، ارشد،ص و کوثری،ه. 1391. مقایسه الگوریتم­های SEBAL و S-SEBI در برآورد تبخیر و تعرق در منطقه کرج. نشریه آب و خاک، 26 .6: 1360-1371.
خاوریان نهزک،ح. 1383. برآورد تبخیر و تعرق با استفاده از تصاویر سنجنده MODIS. پایان­نامه کارشناسی ارشد، دانشکده علوم انسانی، دانشگاه تربیت مدرس تهران.
قمرنیا،ه و رضوانی،س. 1393. محاسبه و پهنه­بندی تبخیر- تعرق با استفاده از الگوریتم سبال (SEBAL) در غرب ایران (دشت میان­دربند). نشریه آب و خاک. 28. 1: 72-81.
مکاری،م.، قهرمان،ب و ثنایی نژاد،س.ح. 1394. بهینه کردن شاخص SAVI و برآورد تبخیر- تعرق واقعی با استفاده از تصاویر ماهواره­ای لندست 8، نشریه آبیاری و زهکشی ایران. 3. 9: 459-469. 
مهندسین مشاور سازآب شرق. 1392. مطالعات بهم پیوسته منابع آب حوضه نیشابور، گزارش­های هواشناسی، هیدرولوژی و خاک­شناسی، مشهد.
Allen,R.G., Tasumi,M., Trezza,R., Waters,R and Bastiaanssen,W.G.M. 2002. SEBAL: Surface Energy Balance Algorithms for Land, Advanced Training and Users Manual. Version 1.0. 1-98.
Bastiaanssen,W.G.M. 2000. SEBAL-based sensible and latent heat fluxes in the irrigated Gediz basin, Turkey. Journal of Hydrology. 229: 87-100.
Bastiaanssen,W.G.M., Molden,D.G and Makin,I.W. 2000. Remote sensing for irrigated agriculture: examples from research and possible applications. Agricultural water management. 46: 137-155.
Bausch,W.C. 1993. Soil background effects on reflectance-based crop coefficients for corn. Remote Sensing of Environment. 46: 213-222.
Gebremichael,M., Wang,J and Sammis,T.W. 2010. Dependence of remote sensing evapotranspiration algorithm on spatial resolution. Atmospheric research. 96: 489-495.
Gonzalez Dugo,M.P., Neale,C.M.U., Mateos,L., Kustas,W.P., Prueger,J.H., Anderson,M.C and Li,F. 2009. A comparison of operational remote sensing-based models for estimating crop evapotranspiration. Agricultural and Forest Meteorology. 149: 1843-1853.
Green,C.H and Griensven,A.V. 2008. Autocalibration in hydrologic modelling: Using SWAT 2005 in small-scale watersheds. Environmental modelling and software. 23: 422-434.
Hong,S.H., Hendrickx,S.H and Borchers,B. 2009. Up-scaling of SEBAL derived evapotranspiration maps from Landsat (30m) to MODIS (250m) scale. Journal of Hydrology. 370: 122-138.
Karatas,B.S., Akkuzu,E., Unal,H.B., Asik,S and Avci,M. 2009. Using satellite remote sensing to assess irrigation performance in Water User Associations in the Lower Gediz Basin, Turkey. Agricultural Water Management. 96: 982–990.
Moriasi,D.N., Arnold,J.G., Van Liew,M.W., Binger,R.L., Harmel,R.D  and Veith,T. 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of American Society of Agricultural and Biological Engineers. 50.3: 885-900.
Mu,Q., Heinsch,F.A., Zhao,M and Running,S.W. 2007. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sensing of Environment. 111: 519–536.
Mutiga,J.K., Su,Z and Woldai,T. 2010. Using satellite remote sensing to assess evapotranspiration: Case study of the upper Ewaso Ng'iro north basin, Kenya. International Journal of Applied Earth Observation and Geoinformation. 125: S100-S108.
Rondeaux,G., Steven,M and Baret,F. 1996. Optimization of soil-adjusted vegetation indices. Remote Sensing of Environment. 48: 119-126.
Rwasoka,D.T., Gumindoga,W and Gwenzi,J. 2011. Estimation of actual evapotranspiration using the surface energy balance system (SEBS) algorithm in the upper Manyame catchment in Zimbabwe. Physic and chemistry of the earth. 36: 736-746.
Shu,Y., Stisen,S., Jensen,K.H and Sandholt,I. 2011. Estimation of regional evapotranspiration over the North China Plain using geostationary satellite data. International Journal of Applied Earth Observation and Geoinformation. 13: 192–206.
Sun,Z., Wang,Q., Matsushita,B., Fukushima,T., Ouyang,Z and Watanabe,M. 2009. Development of a simple remote sensing evapotranspiration model (Sim-ReSET): Algorithm and model test. Journal of Hydrology. 376: 476-485.
Iranian Journal of Irrigation & Drainage
Volume 10, Issue 4 - Serial Number 58
September and October 2016
Pages 454-465

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