ارزیابی روش‌های تخمین تبخیرتعرق گیاه مرجع (مطالعه موردی: استان خوزستان)

حردانی, حامد; سلطانی محمدی, امیر

doi:10.30467/nivar.2026.575115.1371

ارزیابی روش‌های تخمین تبخیرتعرق گیاه مرجع (مطالعه موردی: استان خوزستان)

مقالات آماده انتشار

نوع مقاله : مقاله پژوهشی

نویسندگان

حامد حردانی ¹

امیر سلطانی محمدی ²

¹ گروه آبیاری و زهکشی، دانشکده مهندسی آب و محیط زیست، دانشگاه شهیدچمران اهواز، اهواز، ایران

² گروه آبیاری و زهکشی، دانشکده مهندسی آب و محیط زیست، دانشگاه شهیدچمران اهواز، اهواز، ایران.

10.30467/nivar.2026.575115.1371

چکیده

تخمین میزان دقیق مقدار تبخیرتعرق گیاه مرجع در برنامه‌ریزی آبیاری و تعیین دور آبیاری از اهمیت فراوانی برخوردار است. هدف از این پژوهش، مقایسه و ارزیابی چهارده روش مختلف تخمین تبخیرتعرق گیاه مرجع در سه دسته کلی مبتنی بر دما(هارگریوزسامانی، بلانی-کریدل،لیناکر و اسچندل)، تابش(پرستلی-تیلور،مک کینگ، تورک،جنسن –هیز و ایرماک) و انتقال جرم(مییر،دالتون،ترابرت، WMO و آلبرچت) در هشت ایستگاه مطالعاتی از سال 2007 تا ٢٠23 در استان خوزستان می‌باشد. نتایج این روش‌ها با نتایج حاصل از روش، فائو پنمن مانتیث، مقایسه گردید. ارزیابی عملکرد روش‌های مختلف با آماره‌های R2 ، RMSEوMBE صورت گرفت. نتایج نشان داد که در اکثر ایستگاه‌های مطالعاتی، در بین روش‌های مبتنی بر دما، روش لیناکر با R2 بین747/0 تا954/0 بهترین عملکرد و روش هارگریوز باR2 7/0تا91/0 بدترین عملکرد را ارائه داد. در بین روش‌های مبتنی بر تابش خورشید، روش جنسن -هیز با R2 بین723/0 تا936/0 بهترین عملکرد و روش پرستلی-تیلور باR2 27/0تا75/0 بدترین عملکرد را ارائه داد.در بین روش‌های مبتنی بر انتقال جرم،روش آلبرچت ب با R2 بین6/0 تا968/0در 75 درصد ایستگاه‌ها(شش ایستگاه)، روش دالتون با R2 982/0در ایستگاه ایذه و روش WMO با R2 967/0 در ایستگاه شوشتر بهترین عملکرد را داشتند. روش مییر در همه ایستگاه‌ها با R2 6/0تا9/0عملکرد ضعیف‌تری داشت. به پژوهشگران توصیه می‌شود که در صورت عدم دسترسی به اطلاعات کافی برای محاسبه تبخیرتعرق با روش مرجع فائو پنمن مانتیث (PMF-56)، از روش‌های یاد شده که بهترین نتایج را در ایستگاه‌های مطالعاتی در استان خوزستان داشتند،استفاده‌نمایند.

کلیدواژه‌ها

انتقال جرم

تابش

دما

فائو پنمن مانتیث

موضوعات

آب و هواشناسی

عنوان مقاله English

Evaluation of Methods for Estimating Reference Crop Evapotranspiration (Case Study: Khuzestan Province)

نویسندگان English

Hamed Hardani ¹

Amir Soltani Mohammadi ²

¹ Department of Irrigation and Drainage, Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran

² Department of Irrigation and Drainage, Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran

چکیده English

Estimating the accurate estimating the reference crop evapotranspiration is crucial in irrigation planning and determining irrigation intervals. The aim of this study was to compare and evaluate fourteen different methods for estimating reference crop evapotranspiration in three general categories: temperature-based (Hargreaves-Samani, Blaney-Criddle, Linacre, and Schendel), radiation-based (Priestley-Taylor, McKing, Turc, Jensen-Haise, and Irmak), and mass transfer-based (Meyer, Dalton, Trabert, WMO, and Albrecht) in eight study stations in Khuzestan province from 2007 to 2023. The results of these methods were compared with the results obtained from the FAO Penman-Monteith method. The performance evaluation of different methods was performed using R2, RMSE, and MBE statistics. The results showed that in most of the study stations, among the temperature-based methods, the Linacre method with R2 between 0.747 and 0.954 had the best performance, and the Hargreaves method with R2 between 0.7 and 0.91 had the worst performance. Among the solar radiation-based methods, the Jensen-Haise method with R2 between 0.723 and 0.936 had the best performance, and the Priestley-Taylor method with R2 between 0.27 and 0.75 had the worst performance. Among the mass transfer-based methods, the Albrecht method with R2 between 0.6 and 0.968 in 75% of the stations (six stations), the Dalton method with R2 of 0.982 in Izeh station, and the WMO method with R2 of 0.967 in Shushtar station had the best performance. The Meyer method had weaker performance in all stations with R2 between 0.6 and 0.9. Researchers are advised that if sufficient information is not available to calculate evapotranspiration using the FAO Penman-Monteith (PMF-56) reference method, they should use the aforementioned methods that had the best results in the study stations in Khuzestan province.

کلیدواژه‌ها English

Mass transfer

Radiation

Temperature

FAO Penman-Monteith

1. Babamiri, O., & Dinpazhoh, Y. (2017). Investigation of reference evapotranspiration trend in Urmia Lake basin. Knowledge of Water and Soil, 27(1), 267-279.

2. Pighan, K., Tafi, S., Miri, S., Soltani, M., & Pourmansouri, M. (2022). Evaluation of five different Valiantzas models in estimating reference evapotranspiration (Case study: Lorestan Province). Nivar, 46(116-117), 60-72.

3. Zartipour, E., Soltani Mohammadi, A., & Zartipour, A. (2019). Temporal and spatial monitoring of reference evapotranspiration estimation methods (Case study: Khuzestan Province).

4. Salemi Nasab, M., Koochakzadeh, A., Moshtagh, A., & Ansari, M. R. (2024). Ecological zoning of wheat production in Khuzestan Province using geographic information system and hierarchical analysis process.

5. Ghamarnia, H., & Yousofvand, M. (2019). Comparison of different methods for estimating reference evapotranspiration based on solar radiation methods in different climates of Iran.

6. Tafi, S., Boladi, A., Soltani Mohammadi, A., & Pighan, K. (2020). Comparison and evaluation of reference evapotranspiration estimation methods in three main categories based on temperature, radiation, and mass transfer (Case study: Lorestan Province).

7. Mohsenzadeh, R., & Fakouhi, N. (2019). Water crisis in the shadow of agricultural expansion and de-agriculturalization of the country: Explaining the relationship between water crisis in agriculture and dependence on oil. Local Development (Rural-Urban), 11(1), 267–292.

8. Moradi, H., & Maleki, S. (2025). Investigating the security challenges of drought and water crisis in Khuzestan Province.

9. Malekshahi, Darzi Naftchali, A., Abdollah, & Mohseni. (2019). Accuracy analysis of reference evapotranspiration estimation equations at daily, monthly, and seasonal scales in a humid region. Iranian Journal of Irrigation and Drainage Engineering, 10(2), 229-246.

10. Mahdizadeh, S., Khoshkha, F., Bahmanesh, J., & Delirhasannia, R. (2018). Comparative analysis of the accuracy of five different Valiantzas models in estimating reference evapotranspiration. Irrigation Science and Engineering, (3), 119-132.

11. Nouri, Badiye Neshin, & Mohammadi Mohammadabadi. (2016). Evaluation of computational methods of reference evapotranspiration and determination of pistachio crop evapotranspiration in Rafsanjan. Agricultural Meteorology, 4(2).

12. Ahmadipour, A., Shaibani, P., & Mostafavi, S. A. (2019). Assessment of empirical methods for estimating potential evapotranspiration in Zabol Synoptic Station by REF-ET model. Medbiotech Journal, 3(01), 1-4.

13. Albrecht, F. (1950). Die methoden zur bestimmung verdunstung der naturlichen erdoberflache. Archiv für Meteorologie, Geophysik und Bioklimatologie, Serie B, 2, 1–38.

14. Blaney, H. F., & Criddle, W. D. (1950). Determining water requirements in irrigated areas from climatological and irrigation data. Soil Conservation Service Technical Paper 96. US Department of Agriculture, Washington.

15. Didari, S., & Ahmadi, S. H. (2019). Calibration and evaluation of the FAO56-Penman-Monteith, FAO24-radiation, and Priestley-Taylor reference evapotranspiration models using the spatially measured solar radiation across a large arid and semi-arid area in southern Iran. Theoretical and Applied Climatology, 136(1), 441-455.

16. Dalton, J. (1802). Experimental essays on the constitution of mixed gases on the force of steam of vapor from waters and other liquids in different temperatures, both in a torricellian vacuum and in air on evaporation and on the expansion of gases by heat. Memoirs of the Manchester Literary and Philosophical Society, 5, 535–602.

17. Djaman, K., Koudahe, K., Sall, M., Kabenge, I., Rudnick, D., & Irmak, S. (2017). Performance of twelve mass transfer based reference evapotranspiration models under humid climate. Journal of Water Resource and Protection, 9(12), 1347.

18. Hargreaves, G. L., & Samani, Z. A. (1985). Reference crop evapotranspiration from temperature. Applied Engineering in Agriculture, 1(2), 96–99.

19. Irmak, S. A., Allen, R. G., & Jones, J. W. (2003). Solar and net radiation-based equations to estimate reference evapotranspiration in humid climates. Journal of Irrigation and Drainage Engineering, 129(5), 336–347.

20. Jensen, M. E., & Haise, H. R. (1963). Estimation of evapotranspiration from solar radiation. Journal of Irrigation and Drainage Division, 89, 15–41.

21. Lang, D., Zheng, J., Shi, J., Liao, F., Ma, X., Wang, W., Chen, X., & Zhang, M. (2017). A comparative study of potential evapotranspiration estimation by eight methods with FAO Penman–Monteith method in southwestern China. Water, 9(10), 734.

22. Linacre, E. T. (1977). A simple formula for estimating evapotranspiration rate in various climates using temperature data alone. Agricultural Meteorology, 18, 409-424.

23. Makkink, G. F. (1957). Testing the Penman formula by means of lysimeters. Journal of the Institution of Water Engineers, 11, 277–288.

24. Meyer, A. (1926). Uber einige zusammenhange zwischen Klima und Boden in Europa. Chemie der Erde, 2, 209–234.

25. Priestley, C. H. B., & Taylor, R. J. (1972). On the assessment of surface heat flux and evapotranspiration using large scale parameters. Monthly Weather Review, 100, 81–92.

26. Pereira, L. S., Paredes, P., & Jovanovic, N. (2020). Soil water balance models for determining crop water and irrigation requirements and irrigation scheduling focusing on the FAO56 method and the dual Kc approach. Agricultural Water Management, 241, 106357.

27. Phad, S. V., Dakhore, K. K., & Sayyad, R. S. (2019). Comparison of different methods for estimation of reference evapotranspiration at Parbhani, Maharashtra. Journal of Agrometeorology, 21(2), 236-238.

28. Schendel, U. (1967). Vegetationswasserverbrauch und -wasserbedarf. Habilitation, Kiel, p. 137.

29. Song, X., Lu, F., Xiao, W., Zhu, K., Zhou, Y., & Xie, Z. (2019). Performance of 12 reference evapotranspiration estimation methods compared with the Penman–Monteith method and the potential influences in northeast China. Meteorological Applications, 26(1), 83-96.

30. Trabert, W. (1896). Neue beobachtungen uber verdampfungsgeschwindigkeiten. Meteorologische Zeitschrift, 13, 261–263.

31. Turc, L. (1961). Evaluation des besoins en eau irrigation, l’evapotranspiration potentielle. Annales Agronomiques, 12, 13–49.

32. World Meteorological Organization (WMO). (1966). Measurement and estimation of evaporation and evapotranspiration. Technical Paper (CIMO-Report) 83. Geneva