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A comparative spectral assessment approach of SEBAL and SEBS for actual evaporation estimation in Ardabil Province

Year 2024, Volume: 9 Issue: 2, 131 - 146
https://doi.org/10.26833/ijeg.1344679

Abstract

Evapotranspiration is a crucial process in the Earth's water and climate cycle, responsible for transforming water from liquid to water vapor. This transformation plays a vital role in the global water cycle and has a significant impact on the climate, weather patterns, and precipitation in various regions. In this study, actual evapotranspiration in the Mughan plain of Ardabil province has been estimated using spectral data from the OLI and TIRS sensors of the Landsat 8 satellite. The SEBAL (Surface Energy Balance Algorithm for Land) and SEBS (Surface Energy Balance System) methods have been employed to calculate these phenomena. SEBAL is an energy balance algorithm designed for land surfaces, utilizing satellite data to estimate actual evapotranspiration accurately. Similarly, SEBS is a surface energy balance system that provides a more precise estimation of evapotranspiration and transpiration rates. Data from the OLI and TIRS sensors of Landsat 8 were collected from the study area for this research. By applying the SEBAL and SEBS methods to these data, actual evapotranspiration values in the Mughan plain were obtained. The results indicated that SEBAL showed a broader range of actual evapotranspiration values (0.74 to 5.8 mm) compared to SEBS (1.25 to 8.85 mm), highlighting its ability to distinguish different regions with varying evapotranspiration rates. However, SEBAL's implementation is more computationally demanding than SEBS, making the calculation process time-consuming. Overall, both algorithms demonstrated relatively high capabilities in calculating instantaneous evapotranspiration using spectral data. The findings of this study can be valuable for water resources and agricultural management in the research area, as well as for water resource planning and environmental studies.

References

  • Erdoğan, A., Görken, M., Kabadayı, A., & Temizel, S. (2022). Evaluation of green areas with remote sensing and GIS: A case study of Yozgat city center. Advanced Remote Sensing, 2(2), 58–65.
  • Kotan, B., Tatmaz, A., Kılıç, S., & Erener, A. (2021). LST change for 16-year period for different land use classes. Advanced Remote Sensing, 1(1), 38-45.
  • Çelik, M. Ö., & Yakar, M. (2023). Arazi kullanımı ve arazi örtüsü değişikliklerinin uzaktan algılama ve cbs yöntemi ile izlenmesi: Mersin, Türkiye örneği. Türkiye Coğrafi Bilgi Sistemleri Dergisi, 5(1), 43-51. https://doi.org/10.56130/tucbis.1300704
  • Matinfar, H. R., & Soorghali, M. (2014). Estimate evapotranspiration (ET) using SEBS model based on Landsat 5 (TM) thermal data and GIS. Indian Journal of Fundamental and Applied Life Sciences, 4(3), 30-34.
  • Asadi, M., & Kamran, K. V. (2022). Comparison of SEBAL, METRIC, and ALARM algorithms for estimating actual evapotranspiration of wheat crop. Theoretical and Applied Climatology, 149(1), 327-337. https://doi.org/10.1007/s00704-022-04026-3
  • Yang, Y., Sun, H., Xue, J., Liu, Y., Liu, L., Yan, D., & Gui, D. (2021). Estimating evapotranspiration by coupling Bayesian model averaging methods with machine learning algorithms. Environmental Monitoring and Assessment, 193, 1-15. https://doi.org/10.1007/s10661-021-08934-1
  • Wei, J., Cui, Y., & Luo, Y. (2023). Rice growth period detection and paddy field evapotranspiration estimation based on an improved SEBAL model: Considering the applicable conditions of the advection equation. Agricultural Water Management, 278, 108141. https://doi.org/10.1016/j.agwat.2023.108141
  • Ma, Y., Sun, S., Li, C., Zhao, J., Li, Z., & Jia, C. (2023). Estimation of regional actual evapotranspiration based on the improved SEBAL model. Journal of Hydrology, 619, 129283. https://doi.org/10.1016/j.jhydrol.2023.129283
  • Orhan, O., Dadaser-Celik, F., & Ekercin, S. (2019). Investigating land surface temperature changes using Landsat-5 data and real-time infrared thermometer measurements at Konya closed basin in Turkey. International Journal of Engineering and Geosciences, 4(1), 16-27. https://doi.org/10.26833/ijeg.417151
  • Waters, R., Allen, R., Tasumi, M., Trezza, R., & Bastiaanssen, W. (2002). Surface energy balance algorithms for land. Advanced Training and User’s Manual.
  • Jensen, M. E., Burman, R. D., & Allen, R. G. (1990). Evapotranspiration and irrigation water requirements: a manual. ASCE manuals and reports on engineering practice (USA), 70.
  • Bastiaanssen, W. G. M. (2000). SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey. Journal of hydrology, 229(1-2), 87-100. https://doi.org/10.1016/S0022-1694(99)00202-4
  • Jackson, R. D., Idso, S. B., Reginato, R. J., & Pinter Jr, P. J. (1981). Canopy temperature as a crop water stress indicator. Water Resources Research, 17(4), 1133-1138. https://doi.org/10.1029/WR017i004p01133
  • Jackson, R. D., Idso, S. B., Reginato, R. J., & Pinter Jr, P. J. (1981). Canopy temperature as a crop water stress indicator. Water resources research, 17(4), 1133-1138. https://doi.org/10.1029/WR017i004p01133
  • Su, Z. (2002). The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes. Hydrology and Earth System Sciences, 6(1), 85-100. https://doi.org/10.5194/hess-6-85-2002
Year 2024, Volume: 9 Issue: 2, 131 - 146
https://doi.org/10.26833/ijeg.1344679

Abstract

References

  • Erdoğan, A., Görken, M., Kabadayı, A., & Temizel, S. (2022). Evaluation of green areas with remote sensing and GIS: A case study of Yozgat city center. Advanced Remote Sensing, 2(2), 58–65.
  • Kotan, B., Tatmaz, A., Kılıç, S., & Erener, A. (2021). LST change for 16-year period for different land use classes. Advanced Remote Sensing, 1(1), 38-45.
  • Çelik, M. Ö., & Yakar, M. (2023). Arazi kullanımı ve arazi örtüsü değişikliklerinin uzaktan algılama ve cbs yöntemi ile izlenmesi: Mersin, Türkiye örneği. Türkiye Coğrafi Bilgi Sistemleri Dergisi, 5(1), 43-51. https://doi.org/10.56130/tucbis.1300704
  • Matinfar, H. R., & Soorghali, M. (2014). Estimate evapotranspiration (ET) using SEBS model based on Landsat 5 (TM) thermal data and GIS. Indian Journal of Fundamental and Applied Life Sciences, 4(3), 30-34.
  • Asadi, M., & Kamran, K. V. (2022). Comparison of SEBAL, METRIC, and ALARM algorithms for estimating actual evapotranspiration of wheat crop. Theoretical and Applied Climatology, 149(1), 327-337. https://doi.org/10.1007/s00704-022-04026-3
  • Yang, Y., Sun, H., Xue, J., Liu, Y., Liu, L., Yan, D., & Gui, D. (2021). Estimating evapotranspiration by coupling Bayesian model averaging methods with machine learning algorithms. Environmental Monitoring and Assessment, 193, 1-15. https://doi.org/10.1007/s10661-021-08934-1
  • Wei, J., Cui, Y., & Luo, Y. (2023). Rice growth period detection and paddy field evapotranspiration estimation based on an improved SEBAL model: Considering the applicable conditions of the advection equation. Agricultural Water Management, 278, 108141. https://doi.org/10.1016/j.agwat.2023.108141
  • Ma, Y., Sun, S., Li, C., Zhao, J., Li, Z., & Jia, C. (2023). Estimation of regional actual evapotranspiration based on the improved SEBAL model. Journal of Hydrology, 619, 129283. https://doi.org/10.1016/j.jhydrol.2023.129283
  • Orhan, O., Dadaser-Celik, F., & Ekercin, S. (2019). Investigating land surface temperature changes using Landsat-5 data and real-time infrared thermometer measurements at Konya closed basin in Turkey. International Journal of Engineering and Geosciences, 4(1), 16-27. https://doi.org/10.26833/ijeg.417151
  • Waters, R., Allen, R., Tasumi, M., Trezza, R., & Bastiaanssen, W. (2002). Surface energy balance algorithms for land. Advanced Training and User’s Manual.
  • Jensen, M. E., Burman, R. D., & Allen, R. G. (1990). Evapotranspiration and irrigation water requirements: a manual. ASCE manuals and reports on engineering practice (USA), 70.
  • Bastiaanssen, W. G. M. (2000). SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey. Journal of hydrology, 229(1-2), 87-100. https://doi.org/10.1016/S0022-1694(99)00202-4
  • Jackson, R. D., Idso, S. B., Reginato, R. J., & Pinter Jr, P. J. (1981). Canopy temperature as a crop water stress indicator. Water Resources Research, 17(4), 1133-1138. https://doi.org/10.1029/WR017i004p01133
  • Jackson, R. D., Idso, S. B., Reginato, R. J., & Pinter Jr, P. J. (1981). Canopy temperature as a crop water stress indicator. Water resources research, 17(4), 1133-1138. https://doi.org/10.1029/WR017i004p01133
  • Su, Z. (2002). The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes. Hydrology and Earth System Sciences, 6(1), 85-100. https://doi.org/10.5194/hess-6-85-2002
There are 15 citations in total.

Details

Primary Language English
Subjects Geomatic Engineering (Other)
Journal Section Articles
Authors

Khalil Valizadeh Kamran 0000-0003-4648-842X

Mahmoud Sourghali 0009-0007-4374-2767

Samaneh Bagheri 0000-0003-3889-6685

Early Pub Date July 23, 2024
Publication Date
Published in Issue Year 2024 Volume: 9 Issue: 2

Cite

APA Valizadeh Kamran, K., Sourghali, M., & Bagheri, S. (2024). A comparative spectral assessment approach of SEBAL and SEBS for actual evaporation estimation in Ardabil Province. International Journal of Engineering and Geosciences, 9(2), 131-146. https://doi.org/10.26833/ijeg.1344679
AMA Valizadeh Kamran K, Sourghali M, Bagheri S. A comparative spectral assessment approach of SEBAL and SEBS for actual evaporation estimation in Ardabil Province. IJEG. July 2024;9(2):131-146. doi:10.26833/ijeg.1344679
Chicago Valizadeh Kamran, Khalil, Mahmoud Sourghali, and Samaneh Bagheri. “A Comparative Spectral Assessment Approach of SEBAL and SEBS for Actual Evaporation Estimation in Ardabil Province”. International Journal of Engineering and Geosciences 9, no. 2 (July 2024): 131-46. https://doi.org/10.26833/ijeg.1344679.
EndNote Valizadeh Kamran K, Sourghali M, Bagheri S (July 1, 2024) A comparative spectral assessment approach of SEBAL and SEBS for actual evaporation estimation in Ardabil Province. International Journal of Engineering and Geosciences 9 2 131–146.
IEEE K. Valizadeh Kamran, M. Sourghali, and S. Bagheri, “A comparative spectral assessment approach of SEBAL and SEBS for actual evaporation estimation in Ardabil Province”, IJEG, vol. 9, no. 2, pp. 131–146, 2024, doi: 10.26833/ijeg.1344679.
ISNAD Valizadeh Kamran, Khalil et al. “A Comparative Spectral Assessment Approach of SEBAL and SEBS for Actual Evaporation Estimation in Ardabil Province”. International Journal of Engineering and Geosciences 9/2 (July 2024), 131-146. https://doi.org/10.26833/ijeg.1344679.
JAMA Valizadeh Kamran K, Sourghali M, Bagheri S. A comparative spectral assessment approach of SEBAL and SEBS for actual evaporation estimation in Ardabil Province. IJEG. 2024;9:131–146.
MLA Valizadeh Kamran, Khalil et al. “A Comparative Spectral Assessment Approach of SEBAL and SEBS for Actual Evaporation Estimation in Ardabil Province”. International Journal of Engineering and Geosciences, vol. 9, no. 2, 2024, pp. 131-46, doi:10.26833/ijeg.1344679.
Vancouver Valizadeh Kamran K, Sourghali M, Bagheri S. A comparative spectral assessment approach of SEBAL and SEBS for actual evaporation estimation in Ardabil Province. IJEG. 2024;9(2):131-46.