MAPPING AND EVALUATION OF REFERENCE EVAPOTRANSPIRATION METHODS UNDER ARID CONDITIONS

Document Type : Original Article

Authors

1 Agricultural Engineering Department, Faculty of Agriculture, Fayoum University, Egypt.

2 Soil and Water Department, Faculty of Agriculture, Fayoum University, Egypt.

Abstract

Reference evapotranspiration (ETo) is a vital factor in water resources managing and planning. Various estimation methods have been developed for different climatic regions and according to the available data. Therefore, the reliability of such methods depends upon climatic conditions. The present investigation evaluates four temperature based methods: FAO Blaney-Criddle (BC), Turc, Jensen-Haise (JH) and Hargreaves (HG), and two radiation based methods: FAO-radiation (FAO-rad) and Priestley-Taylor (PT) in comparison with the FAO-PM method under arid conditions of Libya. In order to select the best ETo method, the percentage error of estimate (PE), the root mean square error (RMSE), and mean bias error (MBE) were calculated. The obtained ETo values (FAO-PM and the average of best-estimated monthly ETo) were utilized to generate spatial distribution maps of ETo with the aid of Kriging technique. Statistical analysis of the obtained results revealed that, Turc equation fitted well for the northern part of the study area. Which include Nalut, Zuara, Mosrata, Sirt, Shahat, Derna, Tubruk, Hon, Galo and Gagbub. While for southern zone, HG equation performed better for Opari and Tazirbu, BC equation for Kufra and Ghadames, FAO-Rad equation for Sebha; and JH equation for Ghat.

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Abdelhadi, A. W., Hata, T., Tanakamaru, T. A., & Tariq, M. A. (2000). Estimation of crop water requirements in arid region using Penman–Monteith equation with derived crop coefficients: A case study on Acala cotton in Sudan Gezira irrigated scheme. Agric Water Manage, 45, 203–214.
Alexandris, S., P. Kerkides, and A. Liakatas. (2006). Daily reference evapotranspiration estimates by the “Copais” approach. Agric Water Manage, 82.3 371-386.‏
Allen RG, Pereira LS, Raes D, Smith M. (1998). Crop Evapotranspiration: Guidelines for Computing Crop Requirements, Irrigation and Drainage Paper 56. FAO: Roma, Italia.
Allen, R.G., Clemmens, A.J., Burt, C.M., Solomon, K., O'Halloran, T. (2005). Prediction accuracy for project-wide evapotranspiration using crop coefficients and reference evapotranspiration. Journal of Irrigation and Drainage Engineering. 131(1):24-36.
Droogers, P., & Allen, R. G. (2002). Estimating reference evapotranspiration under inaccurate data conditions. Irrigation and Drainage Systems 16, 33–45.
Du, T., Kang, S., Sun, J., Zhang, X., & Zhang, J. (2010). An improved water use efficiency of cereals under temporal and spatial deficit irrigation in north China. Agricultural Water Management, 97(1), 66-74.
El-Mageed, T.A.A. and El-Wahed, M.A. (2014). Assessment of several reference evapotranspiration estimation methods under coastal Mediterranean conditions. Pothalla journal. Vol 44, No. 7, 169-182.
Gavilan, P., Lorite, I.J., Tornero, S., & Berengena, J. (2006). Reginonal calibration of Hargreaves equation for estimation of reference ET in a semiarid environment. Agric. Water Manage., 81, 257-281.
Hargreaves, G. H., Allen, R. G., (2003). History and evaluation of Hargreaves evapotranspiration equation. J. Irrig. Drain.Eng. 129, 53-63. 
Hassanli, A. M., Ahmadirad, S., & Beecham, S. (2010). Evaluation of the influence of irrigation methods and water quality on sugar beet yield and water use efficiency. Agric Water Manage., 97, 357-362
Landeras, G., Ortiz-Barredo, A., & Lopez, J. (2008). Comparison of artificial neural network models and empirical and semi-empirical equations for daily reference evapotranspiration estimation in the Basque Country (Northern Spain). Agric Water Manage, 95, 553–565.
Lopez-Urrea, R., de Santa Olalla, F. M., Fabeiro, C., & Moratalla, A. (2006). An evaluation of two hourly reference evapotranspiration equations for semiarid conditions. Agric Water Manage, 86, 277–282.
Maeda, Eduardo Eiji, David A. Wiberg, and Petri KE Pellikka. (2011). "Estimating reference evapotranspiration using remote sensing and empirical models in a region with limited ground data availability in Kenya". Applied Geography 31.1: 251-258.
Martinez, C. J., & Thepadia, M. (2010). Estimating reference evapotranspiration with minimum data in Florida . J. Irrig. Drain. Eng., 136, 494–501.
Nandagiri, L., & Kovoor, G. M. (2006). Performance evaluation of reference evapotranspiration equations across a range of Indian climates. J. Irrig. Drain. Eng., 132(3), 238-249.
Sentelhas, P. C., Gillespie, T. J., & Santos, E. A. (2010). Evaluation of FAO Penman–simple climatic formula evolved up to date. Ann. Argon., 12, 13-14.
Tabari, H., Grismer, M. E., & Trajkovic, S. (2011). Comparative analysis of 31 reference evapotranspiration methods under humid conditions. Irrig Sci. DOI 10.1007/s00271- 011-0295-z.
Trajkovic, S. and Kolakovic, S. (2009). Evaluation of reference evapotranspiration equations under humid conditions. Water Resources Management, 23(14), p.3057.