This is an outdated version published on 04-10-2024. Read the most recent version.
Forthcoming

Estimation of actual evapotranspiration using surface energy balance algorithm for land in the lower Bhavani basin

Authors

DOI:

https://doi.org/10.14719/pst.4576

Keywords:

Evapotranspiration, land cover, SEBAL, surface parameters

Abstract

Evapotranspiration is a vital process that substantially sustains the hydrothermal balance. The spatial and temporal distribution of evapotranspiration is critical for the management of water resources and drought monitoring at a regional scale. Surface Energy Balance Algorithm for Land (SEBAL) was employed to compute daily actual evapotranspiration in the lower Bhavani basin using Landsat 8 imagery, weather data and digital elevation model. The study aimed to analyze the spatial and temporal distribution of evapotranspiration. In addition, the influence of surface parameters such as surface albedo, land surface temperature, normalized difference vegetation index and net radiation flux on evapotranspiration was also investigated. The results revealed that SEBAL estimates agreed to 86.5 per cent with pan evaporation. Surface evapotranspiration showed seasonal variability with lower rates during winter and recorded maximum evapotranspiration during summer. Land use classes such as flooded vegetation and water bodies were found to have higher rates of mean daily evapotranspiration, whereas bare soil had lower evapotranspiration. Net radiation was noticed to have a significant impact on daily evapotranspiration among surface parameters. Hence, SEBAL can produce accurate evapotranspiration estimates for the study area. Moreover, vegetation cover and hydrothermal conditions significantly affect the surface parameters, which considerably affect surface evapotranspiration.

Downloads

Download data is not yet available.

References

Zhang K, Chen H, Ma N, Shang S, Wang Y, Xu Q, Zhu G. A global dataset of terrestrial evapotranspiration and soil moisture dynamics from 1982 to 2020. Scientific Data. 2024; 11(1):445. https://doi.org/10.1038/s41597-024-03271-7

Xu S, Yu Z, Yang C, Ji X, Zhang K. Trends in evapotranspiration and their responses to climate change and vegetation greening over the upper reaches of the Yellow River Basin. Agricultural and Forest Meteorology. 2018; 263:118-29.. https://doi.org/10.1016/j.agrformet.2018.08.010

Novak V. Evapotranspiration in the soil-plant-atmosphere system. In: Novak V, editor. Evapotranspiration: a component of the water cycle. Dordrecht. 2012; 1-13. https://doi.org/10.1007/978-94-007-3840-9_1

Katul GG, Oren R, Manzoni S, Higgins C, Parlange MB. Evapotranspiration: A process driving mass transport and energy exchange in the soil?plant?atmosphere?climate system. Reviews of Geophysics. 2012; 50(3):1-25. https://doi.org/10.1029/2011RG000366

Li ZL, Tang R, Wan Z, Bi Y, et al. A review of current methodologies for regional evapotranspiration estimation from remotely sensed data. Sensors. 2009; 9(05):3801-53. https://doi.org/10.3390/s90503801

Fisher JB, Melton F, Middleton E, Hain C, Anderson M, et al. The future of evapotranspiration: Global requirements for ecosystem functioning, carbon and climate feedbacks, agricultural management, and water resources. Water Resources Research. 2017; 53(4):2618-26. https://doi.org/10.1002/2016WR020175

Chandel A. Satellite-Based Remote Sensing Approaches for Estimating Evapotranspiration from Agricultural Systems. In: Priyadarshan PM, Jain SM, Penna S, Al-Khayri, JM, editors. Digital Agriculture: A Solution for Sustainable Food and Nutritional Security. Switzerland: Cham; 2024. 281-23. https://doi.org/10.1007/978-3-031-43548-5_9

Dimitriadou S, Nikolakopoulos KG. Evapotranspiration trends and interactions in light of the anthropogenic footprint and the climate crisis: A review. Hydrology. 2021; 8(4):163. https://doi.org/10.3390/hydrology8040163

Raza A, Hu Y, Acharki S, Buttar NA, et al. Evapotranspiration importance in water resources management through cutting-edge approaches of remote sensing and machine learning algorithms. In: Pande CB, Kumar M, Kushwaha NL, editors. Surface and groundwater resources development and management in semi-arid region: strategies and solutions for sustainable water management. Switzerland: Cham; 2023. 1-20. https://doi.org/10.1007/978-3-031-29394-81

Acharya B, Sharma V. Comparison of satellite driven surface energy balance models in estimating crop evapotranspiration in semi-arid to arid inter-mountain region. Remote Sensing. 2021; 13(9):1822. https://doi.org/10.3390/rs13091822

Zhang K, Kimball JS, Running SW. A review of remote sensing based actual evapotranspiration estimation. Wiley interdisciplinary reviews: Water. 2016; 3(6):834-53. https://doi.org/10.1002/wat2.1168

Ghorbanpour AK, Kisekka I, Afshar A, Hessels T, et al. Crop water productivity mapping and benchmarking using remote sensing and Google Earth Engine cloud computing. Remote Sensing. 2022; 14(19):4934. https://doi.org/10.3390/rs14194934

A Pawar PS, Misra AK, Rawat KS. Estimation and validation of actual evapotranspiration for wheat crop using SEBAL model over Hisar district, Haryana, India. Current Science. 2017; 10:134-41. https://doi.org/10.18520/cs/v113/i01/134-141

Bastiaanssen WG, Menenti M, Feddes RA, Holtslag AA. A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation. Journal of Hydrology. 1998; 212:198-212. https://doi.org/10.1016/S0022-1694(98)00253-4

Cha M, Li M, Wang X. Estimation of seasonal evapotranspiration for crops in arid regions using multisource remote sensing images. Remote Sensing. 2020; 12(15):2398. https://doi.org/10.3390/rs12152398

Liou YA, Kar SK. Evapotranspiration estimation with remote sensing and various surface energy balance algorithms - A review. Energies. 2014; 7(5):2821-49. https://doi.org/10.3390/en7052821

Tan L, Zheng K, Zhao Q, Wu Y. Evapotranspiration estimation using remote sensing technology based on a SEBAL model in the upper reaches of the Huaihe river basin. Atmosphere. 2021; 12(12):1599. https://doi.org/10.3390/atmos12121599

Shamloo N, Taghi Sattari M, Apaydin H, Valizadeh Kamran K, Prasad R. Evapotranspiration estimation using SEBAL algorithm integrated with remote sensing and experimental methods. International Journal of Digital Earth. 2021; 14(11):1638-58. https://doi.org/10.1080/17538947.2021.1962996

Ghaderi A, Dasineh M, Shokri M, Abraham J. Estimation of actual evapotranspiration using the remote sensing method and SEBAL algorithm: a case study in Ein Khosh Plain, Iran. Hydrology. 2020; 7(2):36. https://doi.org/10.3390/hydrology7020036

Bastiaanssen WG. SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey. Journal of Hydrology. 2000; 229(1-2):87-100.

Bastiaanssen WG, Noordman EJ, Pelgrum H, Davids G, Thoreson BP, Allen RG. SEBAL model with remotely sensed data to improve water-resources management under actual field conditions. Journal of Irrigation and Drainage Engineering. 2005; 131(1):85-93. https://doi.org/10.1061/(ASCE)0733-9437(2005)131:1(85)

Bastiaanssen WG, Pelgrum H, Wang J, Ma Y, Moreno JF, et al. A remote sensing surface energy balance algorithm for land (SEBAL). : Part 2: Validation. Journal of Hydrology. 1998; 212:213-29. https://doi.org/10.1016/S0022-1694(98)00254-6

Kong J, Hu Y, Yang L, Shan Z, Wang Y. Estimation of evapotranspiration for the blown-sand region in the Ordos basin based on the SEBAL model. International Journal of Remote Sensing. 2019; 40(5-6):1945-65. https://doi.org/10.1080/01431161.2018.1508919

Chen X, Yu S, Zhang H, Li F, Liang C, Wang Z. Estimating the actual evapotranspiration using remote sensing and SEBAL model in an arid environment of Northwest China. Water. 2023; 15(8):1555. https://doi.org/10.3390/w15081555

Abrishamkar M, Ahmadi A. Evapotranspiration estimation using remote sensing technology based on SEBAL algorithm. Iranian Journal of Science and Technology, Transactions of Civil Engineering. 2017; 41:65-76. https://doi.org/10.1007/s40996-016-0036-x

Sun Z, Wei B, Su W, Shen W, et al. Evapotranspiration estimation based on the SEBAL model in the Nansi Lake Wetland of China. Mathematical and Computer Modelling. 2011; 54(3-4):1086-92. https://doi.org/10.1016/j.mcm.2010.11.039

Yang L, Li J, Sun Z, Liu J, et al. Daily actual evapotranspiration estimation of different land use types based on SEBAL model in the agro-pastoral ecotone of northwest China. Plos One. 2022; 17(3). https://doi.org/10.1371/journal.pone.0265138

Sugathan N, Biju V, Renuka G. Influence of soil moisture content on surface albedo and soil thermal parameters at a tropical station. Journal of Earth System Science. 2014; 123:1115-28. https://doi.org/10.1007/s12040-014-0452-x

Zhang X, Jiao Z, Zhao C, Qu Y, Liu Q, et al. Review of land surface albedo: variance characteristics, climate effect and management strategy. Remote Sensing. 2022; 14(6). https://doi.org/10.3390/rs14061382

Singh S, Kushwaha SK, Jain K. A Correlation analysis of land surface temperature and evapotranspiration in AN urban setting. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2023; 48:1569-74. https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1569-2023

Sun Z, Wang Q, Batkhishig O, Ouyang Z. Relationship between evapotranspiration and land surface temperature under energy-and water-limited conditions in dry and cold climates. Advances in Meteorology. 2016; 2016(1). https://doi.org/10.1155/2016/1835487

Aidoo K, Browne Klutse NA, Asare K, Botchway CG, Fosuhene S. Mapping evapotranspiration of agricultural areas in Ghana. The Scientific World Journal. 2021; 2021(1). https://doi.org/10.1155/2021/8878631

Xiaoming C, Anming B, Lanhai L. A study of retrieval land surface temperature and evapotranspiration in response to LUCC based on remote sensing data in Sanggong River. In: International Conference on Environmental Science and Information Application Technology, 2009 Jul 4; China. IEEE; 2009. 325-29. https://doi.org/10.1109/ESIAT.2009.328

Islam MM, Mamun MM. Variations of NDVI and its association with rainfall and evapotranspiration over Bangladesh. Rajshahi University Journal of Science and Engineering. 2015; 43:21-28. https://doi.org/10.3329/rujse.v43i0.26160

Published

04-10-2024

Versions

How to Cite

1.
Pavithran P, S Pazhanivelan, A P Sivamurugan, K P Ragunath, S Selvakumar, K Vanitha, P Kannan. Estimation of actual evapotranspiration using surface energy balance algorithm for land in the lower Bhavani basin. Plant Sci. Today [Internet]. 2024 Oct. 4 [cited 2024 Nov. 4];. Available from: https://horizonepublishing.com/journals/index.php/PST/article/view/4576

Issue

Section

Research Articles

Most read articles by the same author(s)