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Ranking of Empirical Evapotranspiration Models in Different Climate Zones of Pakistan

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  • Mohammed Magdy Hamed

    (Construction and Building Engineering Department, College of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport (AASTMT), B 2401 Smart Village, Giza 12577, Egypt
    Department of Water and Environmental Engineering, School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Skudia 81310, Malaysia)

  • Najeebullah Khan

    (Faculty of Engineering Science and Technology, Lasbela University of Agriculture Water and Marine Sciences (LUAWMS), Uthal 90150, Pakistan)

  • Mohd Khairul Idlan Muhammad

    (Department of Water and Environmental Engineering, School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Skudia 81310, Malaysia)

  • Shamsuddin Shahid

    (Department of Water and Environmental Engineering, School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Skudia 81310, Malaysia)

Abstract

Accurate estimation of evapotranspiration (ET) is vital for water resource development, planning and management, particularly in the present global warming context. A large number of empirical ET models have been developed for estimating ET. The main limitations of this method are that it requires several meteorological variables and an extensive data span to comprehend the ET pattern accurately, which is not available in most developing countries. The efficiency of 30 empirical ET models has been evaluated in this study to rank them for Pakistan to facilitate the selection of suitable models according to data availability. Princeton Global Meteorological Forcing daily climate data with a 0.25° × 0.25° resolution for 1948–2016 were utilized. The ET estimated using Penman–Monteith (PM) was considered as the reference. Multi-criteria group decision making (MCGDM) was used to rank the models for Pakistan. The results showed the temperature-based Hamon as the best model for most of Pakistan, followed by Hargreaves–Samani and Penman models. Hamon also showed the best performance in terms of different statistical metrics used in the study with a mean bias (PBias) of −50.2%, mean error (ME) of −1.62 mm and correlation coefficient (R2) of 0.65. Ivan showed the best performance among the humidity-based models, Irmak-RS and Ritch among the radiation-based models and Penman among the mass transfer-based models. Northern Pakistan was the most heterogeneous region in the relative performance of different ET models.

Suggested Citation

  • Mohammed Magdy Hamed & Najeebullah Khan & Mohd Khairul Idlan Muhammad & Shamsuddin Shahid, 2022. "Ranking of Empirical Evapotranspiration Models in Different Climate Zones of Pakistan," Land, MDPI, vol. 11(12), pages 1-18, November.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:12:p:2168-:d:989529
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    References listed on IDEAS

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    1. Yuei-An Liou & Sanjib Kumar Kar, 2014. "Evapotranspiration Estimation with Remote Sensing and Various Surface Energy Balance Algorithms—A Review," Energies, MDPI, vol. 7(5), pages 1-29, April.
    2. Slavisa Trajkovic & Srdjan Kolakovic, 2009. "Evaluation of Reference Evapotranspiration Equations Under Humid Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(14), pages 3057-3067, November.
    3. Shirmohammadi-Aliakbarkhani, Zahra & Saberali, Seyed Farhad, 2020. "Evaluating of eight evapotranspiration estimation methods in arid regions of Iran," Agricultural Water Management, Elsevier, vol. 239(C).
    4. Mohammed Sanusi Shiru & Shamsuddin Shahid & Noraliani Alias & Eun-Sung Chung, 2018. "Trend Analysis of Droughts during Crop Growing Seasons of Nigeria," Sustainability, MDPI, vol. 10(3), pages 1-13, March.
    5. Tao, Hai & Diop, Lamine & Bodian, Ansoumana & Djaman, Koffi & Ndiaye, Papa Malick & Yaseen, Zaher Mundher, 2018. "Reference evapotranspiration prediction using hybridized fuzzy model with firefly algorithm: Regional case study in Burkina Faso," Agricultural Water Management, Elsevier, vol. 208(C), pages 140-151.
    6. McGuinness, J. L. & Borone, Erich F., 1972. "A Comparison of Lysimeter-Derived Potential Evapotranspiration With Computed Values," Technical Bulletins 171893, United States Department of Agriculture, Economic Research Service.
    7. Morteza Mohsenipour & Shamsuddin Shahid & Eun-sung Chung & Xiao-jun Wang, 2018. "Changing Pattern of Droughts during Cropping Seasons of Bangladesh," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(5), pages 1555-1568, March.
    8. Mohammad Rajab Houmsi & Mohammed Sanusi Shiru & Mohamed Salem Nashwan & Kamal Ahmed & Ghaith Falah Ziarh & Shamsuddin Shahid & Eun-Sung Chung & Sungkon Kim, 2019. "Spatial Shift of Aridity and Its Impact on Land Use of Syria," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    9. Md. Ali & Lee Shui, 2009. "Potential Evapotranspiration Model for Muda Irrigation Project, Malaysia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(1), pages 57-69, January.
    10. Mohd Khairul Idlan Muhammad & Mohamed Salem Nashwan & Shamsuddin Shahid & Tarmizi bin Ismail & Young Hoon Song & Eun-Sung Chung, 2019. "Evaluation of Empirical Reference Evapotranspiration Models Using Compromise Programming: A Case Study of Peninsular Malaysia," Sustainability, MDPI, vol. 11(16), pages 1-19, August.
    11. Sahar Hadi Pour & Ahmad Khairi Abd Wahab & Shamsuddin Shahid & Xiaojun Wang, 2019. "Spatial Pattern of the Unidirectional Trends in Thermal Bioclimatic Indicators in Iran," Sustainability, MDPI, vol. 11(8), pages 1-24, April.
    12. Paweł Bogawski & Ewa Bednorz, 2014. "Comparison and Validation of Selected Evapotranspiration Models for Conditions in Poland (Central Europe)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(14), pages 5021-5038, November.
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