Document Type : Research Paper

Authors

1 PhD Scholar, Department of Water Science and Engineering, Faculty of Agricultural and Natural Resources, Imam Khomeini International University, Qazvin, Iran

2 Assoc. Professor, Water Science and Engineering Department, Faculty of Agricultural and Natural Resources, Imam Khomeini International University, Qazvin, Iran

3 Assist. Professor, Water Science and Engineering Department, Faculty of Agricultural and Natural Resources, Imam Khomeini International University, Qazvin, Iran

4 2Assoc. Professor, Water Science and Engineering Department, Faculty of Agricultural and Natural Resources, Imam Khomeini International University, Qazvin, Iran

Abstract

Iran is located in the arid and semi-arid belt of the world, which is characterized by low rainfall, thunderstorms, flood flows, and high evapotranspiration. Therefore, quantitative evaluation of evapotranspiration on a regional scale is necessary for water resources management, crop production, and environmental assessments in irrigated lands. In this study, to estimate ETo in four synoptic stations with arid, semi-arid, humid, and semi-humid climates, meteorological data such as temperature, net radiation, relative humidity, and wind speed were used for 1990-2010. Potational evapotranspiration was calculated using 5 different methods, including Hargreaves-Samani, Blaney-Criddle, Priestly-Tailor, Turc, and Makkink, besides, the standard FAO-56 was used (because there was no Lysimetric regionally data) to evaluate the applied formulas. In order to evaluate these methods, were used the mean absolute error (MAE), root mean squared error (RMSE), mean bias error (MBE), correlation coefficient (r), Nash -Satclif index (N.S). Based on these indices, Blaney-Criddle method, after the FAO-56 method, which was used as the basis, was selected as the superior method for the four climates in Iran.

Keywords

Allen, R.G., Pereira, L.S., Raes, D. and Smith, M. (1998). Crop evapotranspiration: guidelines for     computing crop requirement. Irrigation and Drainage (No. 56). FAO, Rome, Italy, 300 pp.
Allen, R. G., Pereira, L.S., Howell, T.A and Jensen, M. E. (2011). Evapotranspiration information   reporting: II. Recommended documentation. Agricultural Water Management 98, 921-929.
Asareh, A., Davoudi, H. (2014). Evaluating the Methods of Estimating Potential Evapotranspiration in Omidiyeh Town. Journal of Water Science & Engineering. 10(4): 63-74 [In Persian].
Berti, A., Tardivo, G., Chiaudani, A., Rech, F. and Borin, M. (2014). Assessing reference evapotranspiration by the Hargreaves method in north-eastern Italy. Agricultural Water Management. 140: 20–25.
Blaney, H.F. and Criddle, W.D. (1950). Determining water requirements in irrigated areas from climatologically and irrigation data. Washington Soil Conservation Service (SCS). (Vol. 96).
Cobaner, M., Citakoğlu, H., Haktanir, T., and Kisi, O. (2017). Modifying Hargreaves–Samani equation with meteorological variables for estimation of reference evapotranspiration in Turkey. Hydrology Research. 48.2: 480-497.
Doorenbos, J. and Pruitt, W.O. (1977). Guidelines for predicting crop-water requirements.  FAO Irrigation and Drainage. (No. 24), (second ed). FAO, Rome, Italy, 156 pp.
FAO. (1998). Crop Evapotranspiration (Guidelines for Computing Crop Water Requirements). Irrigation and Drainage Paper No.56.
Ghamarnia, H and Soultani, N. (2019). Evaluating the Efficiency of Empirical Estimation of Reference Evapotranspiration (Pan Based Method) in Different Climate Conditions of Iran. Iran-Water Resources Research. 14.2:174-193 [In Persian].
Hargreaves, G. H. and Samani, Z. A. (1985). Reference crop evapotranspiration from temperature. Applied Engineering in Agriculture. 1.2: 96–99.
Jacobs, J.M., S.L. Mergelsberg, A.F. Lopera and D.A. Myers. (2002). Evaporation from a wet prairie wetland under drought conditions: Paynes Prairie Preserve, Florida, USA. Wetlands (Official Scholarly Journal of the Society of Wetland Scientists). 22.2: 374–385.
Jacobs, J.M., M.C. Anderson, L.C. Friess and G.R. Diak. (2004). Solar radiation, long wave radiation and emergent wetland evapotranspiration estimates from satellite data in Florida, USA. Hydrological Sciences Journal. 49.3: 461–476.
Jensen, M.E., Burman, R.D. and Allen, R.G. (Ed), (1990). Evapotranspiration and Irrigation Water Requirements, ASCE Manuals and Reports on Engineering Practice No. 70, 332 pp.
Jin-Fa Chen, J.F., Yeh, H.F., Lee, Ch. H., and Lo, W. H. (2005). Optimal Comparision of Emperical Equations for Estimating Potential Evapotranspiration in TAIWAN. XXXI IAHR Congress, Seoul, Korea.
Jovzi, M., Zare Abyaneh, H., Hozhabr., H., Khasraei, A. (2019). Estimate of Potential Evapotranspiration from Energy Balance Method Compared to Evaporation Pan and FAO Penman-Monteith methods. Iranian Journal of Irrigation and Drainage. 13(3): 727-736 [In Persian].
Kahkhamoghadam, P. (2017). Evaluation of reference evapotranspiration models for warm arid climate (Case study: Zahedan station). Journal of Water and Soil Conservation, Vol. 25(1) [In Persian].
Martinez-Cob, A. and Tejero-Juste, M. (2004). A wind-based qualitative calibration of the Hargreaves ET0 estimation equation in semiarid region. Agricultural Water Management. 64.3: 251–264.
Makkink, G.F. (1957). Testing the Penman Formula by Means of Lysimeters. Journal of the Institution of Water Engineers. 11.3: 277-288.
Nazari, R., Kaviani, A. (2016). Evaluation of Potential Evapotranspiration and Pan Evaporative Methods by Lysimeter Data in a Semiarid Climate (Case Study: Qazvin Plain). Iranian journal of Ecohydrology. 3(1): 19-30 [In Persian].
Pashakhah, P., Pirmoradian, N., Khazdoz, N., Neshagar, H., Moshfegh, M. (2014). Calibration and Evaluation of Three Experimental Methods for Estimating Reference Evapotranspiration in Some Iranian Cities. Nivar Journal. Volume 38. 39-50 [In Persian].
Penman HL. (1948). Natural evaporation from open water, bare soil and grass. The Royal Society of London. 193.1032: 120-145.
Priestley, C.H.B. and Taylor, R.J. (1972). On the Assessment of Surface Heat Flux and Evaporation Using Large Scale Parameters. Monthly Weather Review. 100.2: 81-92.
Rao L. Y., Sun, G., Ford, C. R. and Vose, J. M. (2011). Modeling Potential Evapotranspiration of Two Forested Watersheds in the Southern APPALACHIANS. American Society of Agricultural and Biological Engineers, (Vol. 54) (pp. 2067-2078).
Roushan, Gh.R., Khoshakhlagh, F., Karampour., M. (2011). Evaluation and Modification of an Appropriate Model of Potential Evapotranspiration in Iran. Physical Geography Research. No.78. 49-68 [In Persian].
Shahedi, K., Zarei, M. (2012). Assessment of potential evapotranspiration estimation methods in Mazandaran Province. Journal of Iranian of Irrigation and Water engineering. 1(3): 12-21. [In Persian].
Sharifian H, Ghahreman B. (2006). Evaluating of measured evapotranspiration with evaporate pan and standard potential evapotranspiration, Journal of Agricultural science and Natural resources. 13(5): 2-9. [In Persian].
Shi, T.T., Guan, D.X., Wu, J.B. and Wang, A.Z. 2008. Comparison of methods for estimating evapotranspiration rate of dry forest canopy: Eddy covariance, Bowen ratio energy balance, and Penman-Monteith equation. Journal of Geophysical Research, Vol 113.
Smith, M. (1993). Climwat for CropWat: a climatic database for irrigation planning and management. FAO Irrigation and Drainage Paper, No. 49, Rome (Italy), 116 p.
Trajkovic S. and Kolakovic S. (2009). Estimation reference evapotranspiration using limited weather data. Irrigation and Drainage. No.4: 433-449.
Turc L. (1961). Estimation of irrigation water requirements, potential evapotranspirtion: A simple climate formula evolved up to date. Annales Agronomiques. 12: 13-49.
Vanzyl WH, De Jager JM and Maree CJ. (1989). The relationship between daylight evaporation from short vegetation and the USWB Class A pan. Agricultural and Forest Meteorology. 46: 107-118.
Xu, C.-Y. and Singh, V. P. (2001). Evaluation and generalization of temperature-based method for calculating evaporation. Hydrological Processes. 15.2: 305–319.
Xu, C.-Y. and Singh, V. P. (2002). Cross Comparison of Empirical Equations for Calculating Potential Evapotranspiration with Data from Switzerland. Water Resources Management. 16: 197-219.