Application of SEBAL model to estimate Evapotranspiration in Doon Valley, India
DOI:
https://doi.org/10.53550/Keywords:
Doon Valley, Evapotranspiration, GIS, Remote sensing, SEBALAbstract
The knowledge of actual water use for different land uses particularly for agricultural crops is considered as one of the major factors for water resource planning and irrigation water management. However, actual water use of a land use is mainly determined by its actual evapotranspiration (ET ). In recent times, with the advent of new satellite technology, spatio-temporal evapotranspiration can be measured from remotely sensed surface temperature using various surface energy balance algorithms.In this study, SEBAL (Surface Energy Balance Algorithm for Land) techniquehas been used to measure the spatial variation of actual evapotranspiration (ET ) from Landsat 5 image prevailing in the Doon Valley, Uttarakhand, India. This particular method utilizes the combination of meteorological observations with information extracted from remote sensing data to calculate evapotranspiration and other energy exchanges at earth's surface. The result shows that SEBALET varies between 3.3mmday and 4.9mmday in the study area. The estimated ET was compared with the vegetation indices and surface temperature to see their variations among the classified land cover classes. Terraced agriculture has the highest ET(4.9mmday ) partly due to its crop growth stage as compared to other land cover classes. Spatio-temporal distribution of actual ET can assist us to better understand evapotranspiration pattern of different land use systems and would help to establish links between land use, water allocation, and water use planning.
References
Alexandridis, T. and Chemin, Y. 2001. Irrigation water consumption through remote sensing: Comparison at different scales in Zhanghe irrigation system, China. Presented in First International Conference on “Water Resources Management ”. Halkidiki, Greece, 10 p.
Allen, R.G., Pereira, L.S., Raes, D. and Smith, M. 1998. Crop Evapotranspiration. Food and Agric. Organ. of the U. N. (FAO), Rome, Italy. ISBN 92-5-104219-5. 290 p.
Bandara, K.M.P.S. 2006. Assessing irrigation performance by using remote sensing. Doctoral thesis, Wageningen University, Wageningen, The Netherlands.
Bastiaanssen, W.G.M., Noordman, E.J.M., Pelgrum, H., David, G., Thoreson, B.P. and Allen, R.G. 2005. SEBAL model with remotely sensed data to improve water resources management under actual field conditions. J. Irrig. Drain. Eng 131:85-93.
Bastiaanssen,W.G.M. 2000. SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin,Turkey. J. Hydrol ., 229:87-100.
Bastiaanssen, W.G.M., Ahmad, M.D. and Chemin, Y. 2002.Satellite surveillance of evaporative depletion across the Indus Basin. Water Resour. Res. 38(12): 1273-1281.
Bastiaanssen, W.G.M., Menenti, M., Feddes, R.A. and Holtslag, A.A.M. 1998. A remote sensing surface energy balance algorithm for land (SEBAL) 1: Formulation. J. Hydrol., 212:198-212.
Bastiaanssen, W.G.M., Noordman, E.J.M., Pelgrumm, H., Davids, G., Thoreson, B.P. and Allen, R.G. 2005. SEBAL model with remotelysensed data to improve water-resources management under actual field conditions. J. Irrig. Drain. Eng 131(1): 85-93.
Brutsert,W. 1979. Heat and mass transfer to&from surface with complete vegetation similar permeable roughness. Bound. Layer Meteor16:365-388.
Doorenbos, J. and Pruitt, W.O. 1977. Irrigation guidelines for computing crop water requirements. Irrigation and Drainage paper No. 24, FAO, Rome, Italy.
Farah, H.O., Bastiaanssen,W.G.M. and Feddes, R.A. 2004. Evaluation of the temporal variability of the evaporative fraction in a tropical watershed. Int. J. Appl. Earth Obs. Geoinf 5:129-140.
Jana, C., Alam, N.M., Shrimali, S.S., Kumar, G., Ghosh, B.N. and Mishra, P.K. 2015. Rainfall extremity in Doon Valley of Uttarakhand reorienting Agricultural Management. 11(2): Int. J. Agril. Stat. Sci., 425-431.
Kustas, W.P. and Norman, J.M. 1996.Use of remote sensing for evapotranspiration monitoring over land surfaces. Hydrol. Sci. J., 41(4):495-516.
Kustas, W.P., Diak, R. and Moran, M.S. 2003. Remote sensing of evaporation. In Stewart, B.A. and Howell, T.A. (Eds.) s. Marcell Dekker,NewYork. Encyclopedia ofWater Science pp. 267-274.
Liou, Y.A. and Kar, S.K. 2014. Evapotranspiration Estimation with Remote Sensing and Various Surface Energy Balance Algorithms-A Review.Energies. 7: 2821-2849; doi:10.3390/en7052821.
Majnooni-Heris, A., Sadraddini, A.A., Nazemi, A.H., Shakiba, M.R., Neyshabouri, M.R. and Hakki,T.I. 2012. Determination of single and dual crop coefficients and ratio of transpiration to evapotranspiration for canola. Ann. Biol. Res., 3(4):1885-1894.
Papadavid, G., Hadjimitsis, D.G., Toulios, L. and Michaelides, S. 2013.A Modified SEBAL Modeling Approach for Estimating Crop Evapotranspiration in Semi-arid Conditions. Water Resour. Manag.,27:3493-3506.
Petra, J.G., Hellegers, J., Soppe, R., Perry, C.J., Bastiaanssen, W.G.M. 2010. Remote Sensing and Economic Indicators for Supporting Water Resources Management Decisions. 24:2419-2436.
Rogers, J.S., Allen, L.H. Jr. and Calvert, D.V. 1983. Evapotranspiration from a humid-region developing citrus grove with a grass cover. 26:1778-1792.
Spiliotopoulos, M., Loukas, A. and Vasiliades, L. 2008. Actual evapotranspiration estimation from satellite-based surface energy balance model in Thessaly, Greece. EGU General Assembly, 13-18
April 2008,Vienna,Austria, Geophysical Research Abstracts. 10. Tuya, S., Batjargal, Z., Kajiwara, K., and Honda,Y. 2005. Satellite-derived estimates of evapotranspiration in the arid and semi-arid region of Mongolia. 62(5): 517-526.
Zohu, X., Bi, S., Yang, Y., Tina, F. and Ren, D. 2014. Comparison of ET estimations by the three-temperature model, SEBALmodel and eddy covariance observations. 519:769-776.
