Determining best empirical relation in order to measure evapotranspiration in arid region

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Research Paper 01/09/2014
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Determining best empirical relation in order to measure evapotranspiration in arid region

Mohammad Mehdi Heydari, Ali Abbasi, Morteza Heydari , Masoud Khodabakhshi Darbe-Esfahani
J. Bio. Env. Sci.5( 3), 52-62, September 2014.
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Estimation of evapotranspiration (ET0) is necessary for planning, design and irrigation design and water resources management. In order to determine the best method to estimate evapotranspiration using data of Qom synoptic meteorological stations during the years 1987 to 2007 was statistically significant. FAO Penman Monteith (FAO-56 PM) method has been accepted by many researchers and international institutes as the reference and Standard method. Accurate different methods include Blaney-Criddle, Hargreaves-Samani, Jensen-Haise, Linacre, Rn-based method, Thorthwaite and Turc were applied and then their results were compared with FAO-56 PM method. In this study, using statistical indicators, the best method to estimate ET0 in Qom province is selected and suggested Blaney-Criddle (RSME= 0.690 mmd-1, MAE= 0.545 mmd-1, D=0.998). Also the results indicate that ET0 increases from north to south, west to east of the province. The regression relationship between mean temperature and FAO-56 PM method and evaporation from the pan were determined. Also, to comparison of Pan Evaporation and monthly values of FAO-56 PM method, coefficient Pan (Kp=0.583) is calculated.


Allen GR, Pereira LS, Raes D, Smith M. 1998. Crop Evapotranspiration-Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56. FAO, Rome, Italy, 78-86.

Bastiaanssen W.2000. SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey. Journal of Hydrology. 229(1-2), 87-100.

Blaney HF, Criddle WD. 1962. Determining consumptive use and irrigation water requirements. U. S. Dept. Agr. Agricultural Research Service Tech Bull 1275. 59p.

Burman R, Pochop LO. 1994. Evaporation, evapotranspiration and climatic data, Elsevier science. 278 pages.

Di Stefano C, Ferro V.1997 Estimation of evapotranspiration by Hargreaves formula and remotely Sensed data in semi-arid Mediterranean Areas. Journal of Irrigation and Drainage Engineering. 68, 189-199.

García  M,  Raes D,  Jacobsen  SE,  Michel  T. 2007. Agroclimatic constraints for rainfed agriculture the Bolivian Altiplano. Journal of Arid Environment. 71, 109-121.

Hargreaves GH, Samani ZA. 1985. Reference Crop Evapotranspiration from Temperature. Applied Engineering In Agricultural.1(2),96-99.

Heydari MM, Abasi A, Rohani SM, Hosseini SMA. 2013b. Correlation Study and Regression Analysis of Drinking Water Quality in Kashan City, Iran, Walailak Journal of Science and Technology,10(3), 315-324.

Heydari MM, Abbasi A, Fooladmand HR, Heydari M. 2014c. Evaluation of reference evapotranspiration using real and estimated sunshine hours in a semi-arid and arid environment. Fresenius Environmental Bulletin 23 (6), 1295-1301.

Heydari MM, Abbasi A, Heydari M. 2013a. Estimation of Evapotranspiration in Ardestan, Center of Iran. World Applied Sciences Journal 21 (2), 230-236.

Heydari MM, Aghamajidi R, Beygipoor GH, Heydari M. 2014d. Comparison and evaluation of 38 equations for estimating reference evapotranspiration in an arid region. Fresenius Environmental Bulletin 23(8a), 1985-1996.

Heydari MM, Fallah Maraghi A, Heydari M. 2014b. Comparison of different Hargreaves equations in Kashan, Journal of Biodiversity and Environmental Sciences 4(5), 1-11.

Heydari MM, Heydari M. 2014a. Evaluation of pan coefficient equations for estimating reference crop evapotranspiration in the arid region. Archives of Agronomy and Soil Science, 60(5), 715-731.

Heydari MM, Heydari M. 2014b. Calibration of Hargreaves–Samani equation for estimating reference evapotranspiration in semiarid and arid regions. Archives of Agronomy and Soil Science, 60(5), 695-713.

Heydari MM, Heydari M. 2014c. Hydrochemical investigations of drinking water quality in the north of Isfahan province, Iran. Fresenius Environmental Bulletin 23(7a), 1676-1682.

Heydari MM, Nasiri Noushabadi R, Vahedi M, Abbasi A, Heydari M. 2014a. Evaluation of different ET0 calculation methods: a case study in Naein city, Iran, Journal of Biodiversity and Environmental Sciences 4(4), 361-369.

Irmak S, Irmak A, Allen RG, Jones JW. 2003. Solar and net radiation-based equations to estimate reference evapotranspiration in humid climates. Journal of Irrigation and Drainage Engineering. ASCE. 129(5), 336-347.

Jensen M, Haise H. 1963. Estimating evapotranspiration from solar radiation. Journal of the Irrigation and drainage division ASCE. 89 (LR4), 15-41.

Price J. 1984. Land surface temperature measurements from the split window channels of the NOAA 7 Advanced Very High Resolution Radiometer. journal of Geophysical Research., 89(D5): 7231-7237.

Rosenberg NJ, Blad BL, Verma SB. 1983. Microclimate: the biological environment, 2nd Ed, John Wiley and Sons inc. N.Y. 495 pages.

Slabbers PJ. 1977. Surface roughness of crops and potential evapotranspiración. Journal of Hydrology. 34, 181-191.

Thepadia M, Martinez CJ. 2012 Regional calibration of solar radiation and reference evapotranspiration estimates with minimal data in Florida. Journal of Irrigation and Drainage Engineering 138(2), 111-119, 10.1061/ (ASCE) IR.1943-4774.00003.

Thornthwaite CW. 1948. An Approach toward a Rational Classification of Climate. Geograph Review. 38(1), 55-94.

Turc L. 1961, ‘Estimation of IrrigationWater Requirements, Potential Evapotranspiration: A Simple Climatic Formula Evolved Up to Date’, Annual Agronomy 12, 13–49.

Wu I-Pai. 1997. A Simple evapotranspiration model for Hawaii: The Hargreaves model. Engineer’s Notebook 106, 1-2.