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 JWARP  Vol.11 No.2 , February 2019
Study on Daily ET Based on SEBAL Model in a Typical Watershed of the Loess Plateau of China
Abstract: Under the double impact of global climate change and human intervention, surface evapotranspiration (ET), as an important part of hydrological cycle, is affecting watershed land-use planning and economic development. The Loess Plateau is mostly arid and semi-arid areas and its ecological environment is fragile. Drought and soil erosion not only reflects the regional climate change, but also human social activities and ecosystems. In particular, these processes are directly related to the thermal and water gradients exchange in the soil-vegetation-atmosphere system. Luoyugou watershed, a typical Loess Plateau watershed, is selected for this study. Estimating ET through SEBAL (Surface Energy Balance Algorithm for Land) model demonstrates that the SEBAL model in the watershed is more applicable. At the same time, ET seasonal variation is got, combined with the corresponding periods of the land-use changes for analysis. The results show that ET in the Northwest of the basin is higher than the East on the spatial distribution, especially in the high vegetation coverage area. Land use changes significantly in the watershed over the past 20 years, mainly transferring from sloping terraces to the terraces and woodland. ET significantly increased area accounts for 47.6% of the total area in the valley, however, conspicuously reduced area accounts for 13.2%. The daily ET of different land use types had significant differences with the ET of water land and wood land was the largest. It is important that this study on the ET distribution can aid policy and decision makers for land use planning and environmental construction in Luoyugou watershed.
Cite this paper: Zhang, X. , Fang, Y. , Gao, Y. , Yu, X. and Zhang, D. (2019) Study on Daily ET Based on SEBAL Model in a Typical Watershed of the Loess Plateau of China. Journal of Water Resource and Protection, 11, 181-199. doi: 10.4236/jwarp.2019.112011.
References

[1]   Yi, Y.H., Yang, D.W., Liu, Y. and Xu, D. (2008) Review of Study on Regional ET Modeling Based on Remote Sensing. Journal of Hydraulic Engineering, 39, 1118-1124.

[2]   Mo, X.G. (1996) Review on Regional Evaporation. Advances in Water Science, 7, 180-185.

[3]   Cao, X.M., Wang, J.L., Chen, X., Gao, Z.Q., Yang, F. and Shi, J.K. (2013) Multiscale Remote-Sensing Retrieval in the Evapotranspiration of Haloxylon ammodendron in the Gurbantunggut Desert, China. Environmental Earth Sciences, 69, 1549-1558.
https://doi.org/10.1007/s12665-012-1989-0

[4]   Bastiaanssen, W.G.M. (2000) SEBAL-Based Sensible and Latent Heat Fluxes in the Irrigated Gediz Basin, Turkey. Journal of Hydrology, 229, 87-100.
https://doi.org/10.1016/S0022-1694(99)00202-4

[5]   Boegh, E., Soegaard, H. and Thomsen, A. (2002) Evaluating Evapotranspiration Rates and Surface Conditions Using Landsat TM to Estimate Atmospheric Resistance and Surface Resistance. Remote Sensing of Environment, 79, 329-343.
https://doi.org/10.1016/S0034-4257(01)00283-8

[6]   Zeng, L.H. and Song, K.S. (2008) Applying Landsat Data and SEBAL Model to Inverse Regional ET and Its Parameters Estimation. Remote Sensing Technology and Application, No. 6, 255-263.

[7]   Allen, R.G., Tasumi, M., Morse, A. and Trezza, R. (2005) A Landsat-Based Energy Balance and Evapotranspiration Model in Western US Water Rights Regulation and Planning. Irrigation and Drainage Systems, 19, 251-268.
https://doi.org/10.1007/s10795-005-5187-z

[8]   Ricardo, M.G., Terry, M. and David, W.M. (2005) The Inappropriate Use of Crop Transpiration Coefficients (Kc) to Estimate Evapotranspiration in Arid Ecosystems: A Review. Arid Land Research and Management, 19, 285-295.
https://doi.org/10.1080/15324980590951469

[9]   Kimura, R., Bai, L., Fan, J., Takayama, N. and Hinokidani, O. (2007) Evapo-Transpiration Estimation over the River Basin of the Loess Plateau of China Based on Remote Sensing. Journal of Arid Environments, 68, 53-65.
https://doi.org/10.1016/j.jaridenv.2006.03.029

[10]   Wim, J.T., William, P.K., Martha, C.A. and Andrew, N.F. (2007) An Intercomparison of the Surface Energy Balance Algorithm for Land (SEBAL) and the Two-Source Energy Balance (TSEB) Modeling Schemes. Remote Sensing of Environment, 108, 369-384.
https://doi.org/10.1016/j.rse.2006.11.028

[11]   Bala, A., Rawat, K.S. and Misra, A.K. (2015) Assessment and Validation of Evapotranspiration Using SEBAL Algorithm and Lysimeter Data of IARI Agricultural Farm. Geocarto International, 2015, 739-764.

[12]   Chang, Y., Ding, Y. and Zhao, Q. (2016) Remote Estimation of Terrestrial Evapotranspiration by Landsat 5 TM and the SEBAL Model in Cold and High-Altitude Regions: A Case Study of the Upper Reach of the Shule River Basin, China. Hydrological Processes, 31, 1-11.

[13]   Bhattarai, N., Quackenbush, L.J. and Im, J. (2017) A New Optimized Algorithm for Automating Endmember Pixel Selection in the SEBAL and METRIC Models. Remote Sensing of Environment, 196, 178-192.
https://doi.org/10.1016/j.rse.2017.05.009

[14]   Pan, Z.Q., Liu, G.H. and Zhou, C.H. (2003) Dynamic Analysis of Evapotranspiration Based on Remote Sensing in Yellow River Delta. Journal of Geographical Sciences, 13, 408-415.
https://doi.org/10.1007/BF02837878

[15]   Yu, X.X., Zhang, X.M. and Li, J.L. (2009) Process and Mechanism of Soil Erosion. Beijing Science Press, Beijing, 48-54.

[16]   Shen, Z.H., Zhang, X.S. and Jin, Y.X. (2000) Gradient Analysis of the Influence of Mountain Topography on Vegetation Pattern. Acta Phytoecologica Sinica, 24, 430-435.

[17]   Mohamed, E., Psilovikos, A., Manakos, I. and Perakis, K. (2011) Application of the Sebs Water Balance Model in Estimating Daily Evapotranspiration and Evaporative Fraction from Remote Sensing Data over the Nile Delta. Water Resources Management, 25, 2731-2742.
https://doi.org/10.1007/s11269-011-9835-9

[18]   Tian, H., Wen, J., Wang, C.H., Liu, R. and Lu, D.R. (2012) Effect of Pixel Scale on Evapotranspiration Estimation by Remote Sensing over Oasis Areas in North-Western China. Environmental Earth Sciences, 67, 2301-2313.
https://doi.org/10.1007/s12665-012-1677-0

[19]   Pang, Z.G., Fu, J.E. and Li, J.R. (2004) Remote Sensing Model for Estimating ET Based on Energy Balance. Advances in Water Science, 15, 364-369.

[20]   Toby Carlson, N., William, C.J. and Robert, G.R. (1995) A New Look at the Simplified Method for Remote Sensing of Daily Evapotranspiration. Remote Sensing of Environment, 54, 161-167.
https://doi.org/10.1016/0034-4257(95)00139-R

[21]   José, L.C., Christopher, M.U.N., John, H.P. and William, P.K. (2008) Daily Evapotranspiration Estimates from Extrapolating Instantaneous Airborne Remote Sensing ET Values. Irrigation Sciences, 27, 67-81.
https://doi.org/10.1007/s00271-008-0122-3

[22]   Ma, Y.M., Wang, J.M., Menenti, M. and Bastiaanssen, W. (1999) Estimation of Flux Densities over the Heterogeneous Land Surface with the Aid of Satellite Remote Sensing and Field Observation. ACTA Meteorologica Sinica, 57, 180-189.

[23]   Ma, Y.M., Liu, D.S., Wang, J.M., Huang, R.H., Su, Z.B. and Gao, F. (2003) Study on Land Surface Parameters over Inhomogeneous Landscape of Dunhuang Area by Using Satellite Data. Plateau Meteorology, 22, 531-536.

[24]   Dale, A.Q. and Jeffrey, C.L. (1999) Thermal Infrared Remote Sensing for Analysis of Landscape Ecological Processes: Methods and Applications. Landscape Ecology, 14, 577-598.
https://doi.org/10.1023/A:1008168910634

[25]   Xu, X.K. and Liu, S.H. (2002) Deriving Monthly Means Surface Albedo of China. Acta Meteorologica Sinica, 60, 215-220.

[26]   Chen, Y.H., Li, X.B. and Shi, P.J. (2001) Estimation of Regional Evapotranspiration over Northeast China Using Remote Sensing. Journal of Geographical Sciences, 11, 140-148.
https://doi.org/10.1007/BF02888684

[27]   (2002) Landsat-7 Science Data User’s Handbook. Landsat Project Science Office, NASA Goddard Space Flight Center, Greenbelt.

[28]   Guo, X.Y. (2005) ET Distribution of the Heihe River Basin Using Remote Sensing Data. Progress in Natural Science, 15, 1266-1270.

[29]   Zohrab, S., Rawazir, A.S., Bleiweiss, M., Skagges, R. and Longworth, J. (2009) Using Remote Sensing to Evaluate the Spatial Variability of Evapotranspiration and Crop Coefficient in the Lower Rio Grande Valley, New Mexico. Irrigation Science, 28, 93-100.
https://doi.org/10.1007/s00271-009-0178-8

[30]   Li, S.B. and Zhao, C.Y. (2006) Estimating ET Based on Energy Balance in Guanchuan River Basin Using Remote Sensing. Remote Sensing Technology and Application, 21, 521-526.

[31]   Liu, C.S., Gao, Z.Q. and Gao, W. (2007) Retrieval ET and Land Surface Temperature in Response to Land Use/Cover Change Based on Remote Sensing Data. Transactions of the CSAE, 23, 1-8.

 
 
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