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ارزیابی و واسنجی مدل بیلان انرژی سطحی SEBS در برآورد تبخیر-تعرق دشت‌ ابراهیم آباد متأثر از پخش سیلاب میانکوه مهریز-استان یزد

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار پژوهشی ، بخش تحقیقات حفاظت خاک و آبخیزداری ، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی، سازمان آموزش تحقیقات و ترویج کشاورزی، یزد، ایران.

2 دانشیار، گروه مدیریت مناطق خشک و بیابانی، دانشکده منابع طبیعی و کویر شناسی ، دانشگاه یزد، یزد، ایران.

3 دانش آموخته کارشناسی ارشد سنجش از دور و سیستم اطلاعات جغرافیایی، گروه جغرافیا-بخش برنامه ریزی محیطی، دانشکده علوم انسانی و اجتماعی ، دانشگاه یزد ، یزد، ایران.

10.22077/jaaq.2025.10202.1130

چکیده

برآورد تبخیر و تعرق به عنوان یکی ‌از عوامل مؤثر در مدیریت منابع آب و کشاورزی بسیار ضروری است. روش‌های مختلفی برای این کار وجود دارد که به فراخور دقت مورد نیاز در برآورد و نوع کاربرد، مورد استفاده قرار می‌گیرد. در این پژوهش به منظور ارزیابی دقت مدل سبس، در برآورد تبخیر و تعرق واقعی در بازه زمانی 2015 لغایت 2019 از 19 تصویر ماهواره‌ای لندست‌8 برای حوزه میانکوه با استفاده از نرم‌افزار الویس، نقشه‌های روزانه تبخیر و تعرق برای حوزه میانکوه تهیه شد. با استفاده از داده‌های ایستگاه هواشناسی، تبخیر و تعرق مرجع از روش فائو پنمن مانتیث به صورت روزانه محاسبه شد. که بعد از محاسبه میزان تبخیر و تعرق روزانه برای مدل از تبخیر و تعرق پتانسیل برای ارزیابی نتایج تحقیق استفاده شده است. ارزیابی نتایج به دست آمده از مدل سبس با داده‌های تبخیر و تعرق روزانه (پنمن مانتیث) با استفاده از چهار شاخص ضریب همبستگی(R2)، ریشه میانگین مربعات خطا(RMSE) و میانگین قدر مطلق خطا(MAD) و نش- ساتکلیف (NS) سنجیده شد که اندازه‌های این سه شاخص به ترتیب 64/0، 8/1 ،4/2 و 62/0 محاسبه شد که نشان از دقت خوب مدل سبس برای برآورد تبخیر و تعرق واقعی در منطقه مطالعه شده می باشد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Evaluation and calibration of the SEBS surface energy balance model in estimating evapotranspiration in the Ibrahim Abad plain affected by the flood water spreading of the Mehriz Miankouh-Yazd province

نویسندگان [English]

  • Jalal Barkhordari 1
  • Mohammad Hosain Mokhtari 2
  • Hajar Payandeh 3

1 Research Assistant Professor, Soil Conservation and Watershed Management Research Department, Agricultural and Natural Resources Research and Education Center, Agricultural Research and Extension Education Organization, Yazd, Iran.

2 Associate Professor, Department of Arid and Desert Area Management, Faculty of Natural Resources and Desert Studies, University of Yazd, Yazd, Iran.

3 MSc Graduated in Remote Sensing and Geographic Information Systems (RS & GIS), Department of Geography – Environmental Planning Division, Faculty of Humanities and Social Sciences, University of Yazd, Yazd, Iran.

چکیده [English]

Estimation of evapotranspiration is very essential as one of the effective factors in water resources and agriculture management. There are different methods for this task that are used according to the accuracy required in the estimation and the type of application. In this research, in order to evaluate the accuracy of the SEBS model in estimating actual evapotranspiration in the period 2015-2019, daily evapotranspiration maps for the Miankauh basin were prepared from 19 Landsat 8 satellite images for the Miankauh basin using Elvis software. Using meteorological station data, reference evapotranspiration was calculated daily using the FAO Penman Monteith method. After calculating the daily evapotranspiration for the model, potential evapotranspiration was used to evaluate the research results. The evaluation of the results obtained from the SEBS model with daily evapotranspiration data (Penman Monteith) was measured using four indices: correlation coefficient (R2), root mean square error (RMSE), mean absolute error (MAD), and Nash-Sutcliffe (NS). The values of these three indices were calculated as 0.64, 1.8, 2.4, and 0.62, respectively, which indicates the sufficient accuracy of the SEBS model for estimating real evapotranspiration in the studied area.

کلیدواژه‌ها [English]

  • Actual evapotranspiration
  • Remote sensing
  • Landsat 8
  • SEBS
  • Yazd Miankauh basin
مراجع
Ali Asgharzadeh, H, & Sanaie Nejad, S.H. (2006). Estimation of plant evapotranspiration using remote sensing data and geographic information system in the Tang-Knesht watershed of Kermanshah. National Conference on Irrigation and Drainage Network Management. (In Persian)
Allen, R.G., M. Tasumi and A. Morse. (2011).Satellite-based evapotranspiration by METRIC and Landsat for western states water management. US Bureau of Reclamation Evapotranspiration Workshop, Feb 8–10, 2005, Ft. Collins. https://doi.org/10.1061/40792(173)556
Barkhordari, J., Zareh, M.M., & Khosrowshahi, M. (2005). Study of land cover changes in the watershed of Esteghlal Minab Dam using RS and GIS. Quarterly Journal of Soil and Water Conservation, 1 (2), 31-47. https://www.sid.ir/paper/455128/fa. (In Persian)
Chen, X., Su, Z., Ma, Y., Yang, K., Wen, J., & Zhang, Y. (2013). An Improvement of Roughness Height Parameterization of the Surface Energy Balance System (SEBS) over the Tibetan Plateau. Journal of Applied Meteorology and Climatology, 52(3), 607-622. https://doi.org/10.1175/jamc-d-12-056.1
Derardja, B., Khadra, R., Abdelmoneim, A. A. A., El- Shirbeny, M. A., Valsamidis, T., De    Pasquale, V., Deflorio, A.M., & Volden, E. (2024). Advancements in Remote Sensing for Evapotranspiration Estimation: A Comprehensive Review of Temperature-Based Models. Remote Sensing, 16(11). https://doi.org/10.3390/rs16111927
Fazel Pouraghdaei M.R, Malekinezhad, H., Ekhtesasi M.R, & Barkhordari, J. (2018). The Effects of Flood Spreading on Qanat Discharge using Standard Discharge Index (Case Study: Qanats of Myankooh of Mehriz). J Watershed Manage Res. 9(17), 235-245. https://doi.org/10.29252/jwmr.9.17.235 (In Persian)
Khayat, A. , Akhondi, Z. & Khozeymehnezhad, H. (2024). Evaluation of the accuracy of fuzzy neural network in estimating the discharge of Qanats in Birjand city. Journal of Aquifer and Qanat, 5(1), 45-58. https://doi.org/10.22077/jaaq.2025.8597.1086 (In Persian)
Li, F., & Lyons, T. J. (2002). Remote estimation of regional evapotranspiration. Environmental Modelling & Software, 17(1), 61-75. https://doi.org/10.1016/ S13648152(01)00053-6
Pakparvar, M., Cornelis, W., Pereira, L.S., Gabriels, D., HosseiniMarandi, H., Edraki, M, & Kowsar, S.A. (2014). Remote sensing estimation of actual evapotranspiration and crop coefficients for a multiple land use arid landscape of southern Iran with limited available data. Journal of Hydroinformatics,16 (6), 1441–1460. https://doi.org/10.2166/hydro.2014.140
Pereira, L.S., Allen, R., Smiith, M., & Raes, D. (2015). Crop evapotranspiration estimation with FAO56: Past and future. Agricultural Water Management 147: 4-20
Ghanbari, Y., & Esmaeilzadeh, H. (2025). Land Use/Land Cover Changes Detection in Cities and the Resulting Environmental Risks (Case Study: District 18 of Tehran Metropolis). Geography and Environmental Sustainability, 15(2), 125-141. https://doi.org/10.22126/GES.2025.11656.2829(In Persian)
Ghiat, I., Mackey, H.R., & Al-Ansari, T. (2021). A Review of Evapotranspiration  Measurement Models, Techniques and Methods for Open and Closed Agricultural Field Applications. Water, 13(18). https://doi.org/10.3390/w13182523
Gong, L. Xu, C.-y. Chen, D. Halldin, S. and Chen, Y.D. (2006). Sensitivity of the Penman–Monteith reference evapotra nspiration to key climatic variables in the Changjiang (Yangtze River) basin. Journal of Hydrology, 329(3), 620-629.
Mohammad Ibrahim, Masoud. (2015). "Estimating Actual Evapotranspiration at Regional Scale Using the SEBS Model (Case Study: Sistan Plain)". Master's Thesis in Water Resources Engineering, University of Zabol.
Nash, J.E. & J.V. Sutcliffe. (1970), River flow forecasting through conceptual models part I  A discussion of principles,Volume 10, Issue 3,  Pages 282-290. https://doi.org/10.1016/0022-1694(70)90255-6
Nisa, Z., Khan, M. S., Govind, A., Marchetti, M., Lasserre, B., Magliulo, E., & Manco, A. (2021). Evaluation of SEBS, METRIC-EEFlux, and QWaterModel Actual Evapotranspiration for a Mediterranean Cropping System in Southern Italy. Agronomy, 11(2), 345.
Qamarnia, H., & Rezvani, S.V. (2014). Calculation and zoning of evapotranspiration using the SEBAL algorithm in western Iran (Mian Darband Plain), Water and Soil, 28(1), 81-72. https://doi.org/10.22067/jsw.v0i0.20634 (In Persian)
Omidvar, J., Davari, K., Arshad, S., Mousavi, Bayegi, M., Akbari, M. & Fari Hosseini, A. (2012). Estimation of Evapotranspiration Actual Using Sensor Aster and Model Metric. Irrigation and Water Engineering, 3(1), 38-49. (In Persian)
Pareeth, S., & Karimi, P. (2023). Evapotranspiration estimation using Surface Energy Balance Model and medium resolution satellite data: An operational approach for continuous monitoring. Sci Rep, 13(1), 12026. https://doi.org/10.1038/s41598-023-38563-2
Pakparvar M., Cornelis W., Pereira L S., Gabriels D., HosseiniMarandi H,. Edraki M., & Kowsar S A. (2014) Remote sensing estimation of actual evapotranspiration and crop coefficients for a multiple land use arid landscape of southern Iran with limited available data. Journal of Hydroinformatics;16 (6):1441–1460.
Payandeh, H. (1400). Calibration and evaluation of the Sabal, Sabs and Metric energy balance models in evapotranspiration zoning using remote sensing in the Yazd Miankouh Plain, Master's thesis in Remote Sensing and Geographic Information Systems, Yazd University. 138 pages. (In Persian)
Piri Poshtkouhizadeh, H. (2015). Estimation of real evapotranspiration using SEBAL and SEBS algorithms and OLI sensor images (Dasht Naz-Sari case study). Master's thesis in agricultural meteorology, Sari University of Agricultural Sciences and Natural Resources. 124 pages. (In Persian)
Raisi, A., Mozaffari Gh., & Ghaffarian Malmiri, H. (2013). Evaluation and comparison of wheat plant evapotranspiration estimation using the Sebal algorithm and Penman-Monteith method in the Chah Nimeh region of Sistan and Baluchestan, Journal of Physical Geography, Year 15, No. 60, 17-37, pp. https://doi.org/20.1001.1.20085656.1402.16.60.1.0 (In Persian)
Rostamizad, G., Pakparvar, M. and Abdinejhad, P. (2023). Evaluation and Calibration of SEBS Surface Energy Balance Model in Determining Evapotranspiration of Plains Affected by Flood Spreading (Qaracherian-Zanjan Province). Watershed Management Research, 36(4), 17-31. https://doi.org/10.22092/wmrj.2023.360611.1503 (In Persian)
Rezaei, M. (2025). A Comprehensive Overview of Single-Source and Dual-Source Energy Balance Algorithms ‎for Estimating Actual Evapotranspiration. Journal of Water and Sustainable Development, 11(4), 1-14. https://doi.org/10.22067/jwsd.v11i4.2407-1345
Sharifi, R., Barzegari Banadkooki, F., & Rostami zad, G. (2025). Evaluating the Efficiency of the SEBS Model in Estimating Actual Evapotranspiration: Emphasizing the Role of Flood Spreading in Sustainable Water Resources Management in the Chandab Plain, Tehran. Jwmseir; 19 (68), https://doi.org/10.22034/19.68.5
Shi, T.T., Guan, D.X., Wu, J.B., Wang, A.Z., Jin, C.J., & Han, S.J. (2008). Comparison of methods for estimating evapotranspiration rate of dry forest canopy: Eddy covariance, Bowen ratio energy balance, and Penman‐Monteith equation. Journal of Geophysical Research: Atmospheres, 113(D19).  https://doi.org/10.1029/2008JD010174
Sokolov, A.A., & Chapman, T.G. (1974). Methods for water balance computations, UNESCO Reports in Hydrology, Paris.
Sun Z., Wei B., Su W., Shen W., Wang C., You D. and Liu Z. 2011. Evapotranspiration estimation based on the SEBAL model in the Nansi LakeWetland of China. Mathematical and Computer Modelling 54: 1086–1092.
Su, Z. (2002). The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes SEBS-The Surface Energy Balance. Hydrology and Earth System Sciences. 6(1): 85-100.
Sharafi, M. and Samadian Fard, S. (2022). The role of kernel functions in increasing the accuracy of daily evaporation prediction in wet and dry regions of Iran. Journal of Aquifer and Qanat, 2(1), 147-157. https://doi.org/10.22077/jaaq.2022.1871 (In Persian)
Wu, B., Zhu, W., Yan, N., Xing, Q., Xu, J., Ma, Z., & Wang, L. (2020). Regional Actual Evapotranspiration Estimation with Land and Meteorological Variables Derived from Multi-Source Satellite Data. Remote Sensing, 12(2). https://doi.org/10.3390/rs12020332
Wang, Z., Wang, Z., Song, L., & Li, T. (2025). Characterization of spatial and temporal distribution of evapotranspiration in the Dawen River Basin and analysis of driving factors. Environmental Earth Sciences, 84(3), 81. https://doi.org/10.1007/s12665-024-12078-z
Tabatabaei, S. M. (2024). Investigating the successful methods of reviving the Qanat Through physical protection and artificial nutrition Case Study; Khamsian Qanat Ashkezar, Mazreano of Dehshir and Dihok Kharanagh. Journal of Aquifer and Qanat, 4(2), 67-82. https://doi.org/10.22077/jaaq.2024.7340.1065 (In Persian)
آبخوان و قنات
دوره 6، شماره 2
آذر 1404
صفحه 155-174
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