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Assessment of evapotranspiration estimation models for use in semi-arid environments

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  • DehghaniSanij, Hossein
  • Yamamoto, Tahei
  • Rasiah, Velu

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  • DehghaniSanij, Hossein & Yamamoto, Tahei & Rasiah, Velu, 2004. "Assessment of evapotranspiration estimation models for use in semi-arid environments," Agricultural Water Management, Elsevier, vol. 64(2), pages 91-106, January.
    • Handle: RePEc:eee:agiwat:v:64:y:2004:i:2:p:91-106
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    1. Jacovides, C. P. & Kontoyiannis, H., 1995. "Statistical procedures for the evaluation of evapotranspiration computing models," Agricultural Water Management, Elsevier, vol. 27(3-4), pages 365-371, July.
    2. Blaney, Harry F. & Criddle, Wayne D., 1962. "Determining Consumptive Use and Irrigation Water Requirements," Technical Bulletins 171000, United States Department of Agriculture, Economic Research Service.
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    Cited by:

    1. Ahmed, Shamseddin Musa, 2020. "Impacts of drought, food security policy and climate change on performance of irrigation schemes in Sub-saharan Africa: The case of Sudan," Agricultural Water Management, Elsevier, vol. 232(C).
    2. Dehghanisanij, H. & Agassi, M. & Anyoji, H. & Yamamoto, T. & Inoue, M. & Eneji, A.E., 2006. "Improvement of saline water use under drip irrigation system," Agricultural Water Management, Elsevier, vol. 85(3), pages 233-242, October.
    3. Dinpashoh, Yagob, 2006. "Study of reference crop evapotranspiration in I.R. of Iran," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 123-129, July.
    4. Jabloun, M. & Sahli, A., 2008. "Evaluation of FAO-56 methodology for estimating reference evapotranspiration using limited climatic data: Application to Tunisia," Agricultural Water Management, Elsevier, vol. 95(6), pages 707-715, June.
    5. Landeras, Gorka & Ortiz-Barredo, Amaia & López, Jose Javier, 2008. "Comparison of artificial neural network models and empirical and semi-empirical equations for daily reference evapotranspiration estimation in the Basque Country (Northern Spain)," Agricultural Water Management, Elsevier, vol. 95(5), pages 553-565, May.
    6. Escarabajal-Henarejos, D. & Fernández-Pacheco, D.G. & Molina-Martínez, J.M. & Martínez-Molina, L. & Ruiz-Canales, A., 2015. "Selection of device to determine temperature gradients for estimating evapotranspiration using energy balance method," Agricultural Water Management, Elsevier, vol. 151(C), pages 136-147.
    7. Singh Rawat, Kishan & Kumar Singh, Sudhir & Bala, Anju & Szabó, Szilárd, 2019. "Estimation of crop evapotranspiration through spatial distributed crop coefficient in a semi-arid environment," Agricultural Water Management, Elsevier, vol. 213(C), pages 922-933.
    8. Bessembinder, J.J.E. & Leffelaar, P.A. & Dhindwal, A.S. & Ponsioen, T.C., 2005. "Which crop and which drop, and the scope for improvement of water productivity," Agricultural Water Management, Elsevier, vol. 73(2), pages 113-130, May.
    9. Shiri, Jalal, 2017. "Evaluation of FAO56-PM, empirical, semi-empirical and gene expression programming approaches for estimating daily reference evapotranspiration in hyper-arid regions of Iran," Agricultural Water Management, Elsevier, vol. 188(C), pages 101-114.
    10. Mohamed A. Mattar & A. A. Alazba & Bander Alblewi & Bahram Gharabaghi & Mohamed A. Yassin, 2016. "Evaluating and Calibrating Reference Evapotranspiration Models Using Water Balance under Hyper-Arid Environment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(11), pages 3745-3767, September.
    11. O.E. Mohawesh, 2011. "Evaluation of evapotranspiration models for estimating daily reference evapotranspiration in arid and semiarid environments," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 57(4), pages 145-152.

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