Comparison of some methods for Reference Evapotranspiration calculation in Shahat Area, Aljabal Alakhdar- Libya
DOI:
https://doi.org/10.54172/mjsc.v31i1.220Keywords:
Evapotranspiration, Temperature, Radiation, FAO Penman-MonteithAbstract
This study was conducted to compare some methods for calculating the reference evapotranspiration (ETo) with FAO Penman-Monteith (FPM)which is the recommended method by the FAO to calculate the reference evapotranspiration. Sevenmethods were chosen, three of which depend on the temperature, namely, (Blaney-Criddle BC, Hargreaves- Samani HS, Thornthwaite TW), and four depend on the radiation (radiation Rd, Priestley-Taylor -PT, Makkink MK, Turc TC). Thirty seven years of climatic data for a period of 1963 to 1999 were used from meteorological station of Shahat, Aljabal Alakhdar, Libya. The obtained results showed that the method of Blaney-Criddle was the best performance compared to the FAO Penman Monteith (FPM), where the values of the root mean square error (RMSE), mean bias error (MBE), the maximum error (MAXE), and the relative errors (RE) were 0.33, 0.11, 0.66 mm/day, -0.1%, respectively,while the method of Thornthwaite was the least performance, where the values of the root mean square error (RMSE), mean bias error (MBE), the maximum error (MAXE), and the relative error (RE) were 1.8, 1.69, 2.76 mm/day, -46.48% respectively. The rest of the methods ranged between these values.
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References
Allen, R. G. (2000). REF-ET: Reference Evapotranspiration calculation software for FAO and ASCE standardized equation. Version 3.1.16 for Windows. University of Idaho, Research and Extension Center, Kimberly, Idaho.
Allen, R. G., L.S. Pereira, D. Raes and M. Smith. (1998). Crop evapotranspiration: guidelines for computing crop water requirements. FAO Irrigation and Drainage, Paper No. 56, Rome, Italy.
Blaney, H. F. and W. D. Criddle. (1962). Determining consumptive use and irrigation water requirements. U. S. Dept. Agr. Agricultural Research Service Tech. Bull., 1275: 59.
Chauhan, S. and R. K. Shrivastava. (2009). Estimating reference evapotranspiration from limited climatic data using Artificial Neural Networks. ISH Journal of Hydraulic Engineering, 15: 34-44. DOI: https://doi.org/10.1080/09715010.2009.10514929
Chowdhary, A. and R. K. Shrivastava. (2010). Reference crop evapotranspiration estimation using Artificial Neural Networks. International Journal of Engineering Science and Technology, 9: 4205-4212.
Doorenbos, J. and W. O. Pruitt. (1977). Crop water requirements. FAO Irrigation and Drainage, Paper No. 24, Rome, Italy.
Fooladmand, H. R. and S. H. Ahmadi. (2009). Monthly spatial calibration of Blaney–Criddle equation for calculating monthly ETo in south of Iran. Irrigation and Drainage, 58: 234-245. DOI: https://doi.org/10.1002/ird.409
Garcia, M., D. Raes, R. Allen and C. Herbas. (2004). Dynamics of reference evapotranspiration in the Bolivian highlands (Altiplano). Agricultural and Forest Meteorology, 125: 67-82. DOI: https://doi.org/10.1016/j.agrformet.2004.03.005
Hargreaves, G. H. and Z. A. Samani. (1985). Reference crop evapotranspiration from Temperature. Applied Engineering in Agriculture, 1: 96-99. DOI: https://doi.org/10.13031/2013.26773
Heydari, M. M., R. N. Noushabadi, A. Abasi, M. Vahedi and M. Heydari. (2013). Comparison of evapotranspiration models for estimating reference evapotranspiration in arid environment. Middle-East Journal of Scientific Research, 15: 1331-1337.
Jensen, M. E., R. D. Burman and R. G., Allen. (1990). Evapotranspiration of Irrigation water requirements. ASCE manuals and Reports on Engineering practice No. 70 ASCE, New York, USA.
Kennedy, J. B. and A. M. Neville. (1986). Basic statistical methods for engineers and scientists. 3rd Ed., Harper & Row, New York, USA.
Kumar, M., N. Raghuwanshi, R. Singh, W. Wallender and W. O. Pruitt. (2002). Estimating evapotranspiration using Artificial Neural Network. Journal of Irrigation and Drainage Engineering, 128: 224-233. DOI: https://doi.org/10.1061/(ASCE)0733-9437(2002)128:4(224)
Makkink, G. F. (1957). Testing the Penman formula by means of Lysimeters. Journal of the Institute of Water Engineering, 11: 277-288.
Mostafazadeh-Fard, B., M. Heidarpour and S. E. Hashemi. (2009). Species factor and evapotranspiration for an Ash (Fraxinus rotundifolia) and Cypress (Cupressus arizonica) in an arid region. Australian Journal of Crop Science, 3: 71-83.
Priestley, C. H. B. and R. J. Taylor. (1972). On the assessment of surface heat flux and evaporation using large scale parameters. Monthly Weather Reviews., 80: 81-92. DOI: https://doi.org/10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2
Sudheer, K., A. Gosain and K. Ramasastri. (2003). Estimating actual evapotranspiration from limited climatic data using Neural Computing Technique. Journal of Irrigation and Drainage Engineering, 129: 214-218. DOI: https://doi.org/10.1061/(ASCE)0733-9437(2003)129:3(214)
Thornthwaite, C. W. (1948). An approach toward a rational classification of climate. Geographical Review, 38: 55-94. DOI: https://doi.org/10.2307/210739
Turc, L. (1961). Estimation of irrigation water requirements, potential evapotranspiration: A simple climatic formula evolved up to date. Ann. Agronomy, 12: 13-49.
Venkatesh, B., N. Neetha and K. Archana. (2012). Comparison of 10 potential evapotranspiration methods for different climatic regimes in Karnataka. International Journal of Earth Science and Engineering, 5: 851-857.
Vicente-Serrano, S. M., S. Beguería and J. I., Lopez-Moreno. (2009). A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index. Journal of Climate, 23: 1696-1718. DOI: https://doi.org/10.1175/2009JCLI2909.1
Zanetti, S., E. Sousa, V. Oliveira, F. Almeida and S. Bernardo. (2007). Estimating evapotranspiration using Artificial Neural Networks and minimum climatological data. Journal of Irrigation and Drainage Engineering, 133: 83-89. DOI: https://doi.org/10.1061/(ASCE)0733-9437(2007)133:2(83)
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