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Potential Evapotranspiration Model for Muda Irrigation Project, Malaysia

Author

Listed:
  • Md. Ali
  • Lee Shui

Abstract

Methods to estimate free-surface evaporation E p and potential evapotranspiration ET p using well known models, namely, Penman–Monteith model, modified Penman method, Food and Agriculture Organization Penman–Monteith (FAO-PM) method, Blaney–Criddle method, and Christiansen method, without calibrating any model calibration parameters, for monthly time series are presented. The long-term monthly averaged daily models results are calculated using recorded average historic meteorological data (1980–1997) and compared with the USBR Class-A black pan evaporation data obtained from the Muda Agricultural Development Authority, Malaysia. The comparison results of the long-term monthly averaged daily estimates of E p using these models show that the E p values for the Penman–Monteith model and FAO-PM method for different months are found to be compared satisfactorily with the recorded pan evaporation data. The results of the estimated E p values for different months, the variations of relative errors in different months, the values of mean monthly differences between recorded and estimated E p , and the comparison between the models annual E p with the recorded annual E p , using these models suggest that the Penman–Monteith model can be selected as the best model in E p estimation in the Muda Irrigation Project, Malaysia. The FAO-PM method can be considered as the second best model, successively followed by the Blaney–Criddle method, modified Penman method, and Christiansen method. Thus, the results of the Penman–Monteith model can be interpreted as the validation of the E p model and can safely be used in ET p estimation in the Muda Irrigation Project, Malaysia. Copyright Springer Science+Business Media B.V. 2009

Suggested Citation

  • 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.
    • Handle: RePEc:spr:waterr:v:23:y:2009:i:1:p:57-69
    DOI: 10.1007/s11269-008-9264-6
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    Citations

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    Cited by:

    1. Falamarzi, Yashar & Palizdan, Narges & Huang, Yuk Feng & Lee, Teang Shui, 2014. "Estimating evapotranspiration from temperature and wind speed data using artificial and wavelet neural networks (WNNs)," Agricultural Water Management, Elsevier, vol. 140(C), pages 26-36.
    2. Xiang, Keyu & Li, Yi & Horton, Robert & Feng, Hao, 2020. "Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review," Agricultural Water Management, Elsevier, vol. 232(C).
    3. Yamaç, Sevim Seda & Todorovic, Mladen, 2020. "Estimation of daily potato crop evapotranspiration using three different machine learning algorithms and four scenarios of available meteorological data," Agricultural Water Management, Elsevier, vol. 228(C).
    4. Nader Katerji & Gianfranco Rana, 2011. "Crop Reference Evapotranspiration: A Discussion of the Concept, Analysis of the Process and Validation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(6), pages 1581-1600, April.
    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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