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Evaluation of Empirical Reference Evapotranspiration Models Using Compromise Programming: A Case Study of Peninsular Malaysia

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  • Mohd Khairul Idlan Muhammad

    (School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia)

  • Mohamed Salem Nashwan

    (School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia
    Faculty of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport (AASTMT), Elhorria 2033, Cairo, Egypt)

  • Shamsuddin Shahid

    (School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia)

  • Tarmizi bin Ismail

    (School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia)

  • Young Hoon Song

    (Faculty of Civil Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul 01811, Korea)

  • Eun-Sung Chung

    (Faculty of Civil Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul 01811, Korea)

Abstract

Selection of appropriate empirical reference evapotranspiration (ET o ) estimation models is very important for the management of agriculture, water resources, and environment. Statistical metrics generally used for performance assessment of empirical ET o models, on a station level, often give contradictory results, which make the ranking of methods a challenging task. Besides, the ranking of ET o estimation methods for a given study area based on the rank at different stations is also a difficult task. Compromise programming and group decision-making methods have been proposed in this study for the ranking of 31 empirical ET o models for Peninsular Malaysia based on four standard statistical metrics. The result revealed the Penman-Monteith as the most suitable method of estimation of ET o , followed by radiation-based Priestley and Taylor and the mass transfer-based Dalton and Meyer methods. Among the temperature-based methods, Ivanov was found the best. The methodology suggested in this study can be adopted in any other region for an easy but robust evaluation of empirical ET o models.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:16:p:4267-:d:255509
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    References listed on IDEAS

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    Cited by:

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    2. Milan Gocić & Mohammad Arab Amiri, 2021. "Reference Evapotranspiration Prediction Using Neural Networks and Optimum Time Lags," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(6), pages 1913-1926, April.
    3. Vishwakarma, Dinesh Kumar & Pandey, Kusum & Kaur, Arshdeep & Kushwaha, N.L. & Kumar, Rohitashw & Ali, Rawshan & Elbeltagi, Ahmed & Kuriqi, Alban, 2022. "Methods to estimate evapotranspiration in humid and subtropical climate conditions," Agricultural Water Management, Elsevier, vol. 261(C).
    4. Phon Sheng Hou & Lokman Mohd Fadzil & Selvakumar Manickam & Mahmood A. Al-Shareeda, 2023. "Vector Autoregression Model-Based Forecasting of Reference Evapotranspiration in Malaysia," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    5. 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.

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