@article{(Open Science Index):https://publications.waset.org/pdf/10001880,
	  title     = {Assessment of Hargreaves Equation for Estimating Monthly Reference Evapotranspiration in the South of Iran},
	  author    = {Ali Dehgan Moroozeh and  B. Farhadi Bansouleh},
	  country	= {},
	  institution	= {},
	  abstract     = {Evapotranspiration is one of the most important
components of the hydrological cycle. Evapotranspiration (ETo) is an
important variable in water and energy balances on the earth’s
surface, and knowledge of the distribution of ET is a key factor in
hydrology, climatology, agronomy and ecology studies. Many
researchers have a valid relationship, which is a function of climate
factors, to estimate the potential evapotranspiration presented to the
plant water stress or water loss, prevent. The FAO-Penman method
(PM) had been recommended as a standard method. This method
requires many data and these data are not available in every area of
world. So, other methods should be evaluated for these conditions.
When sufficient or reliable data to solve the PM equation are not
available then Hargreaves equation can be used. The Hargreaves
equation (HG) requires only daily mean, maximum and minimum air
temperature extraterrestrial radiation .In this study, Hargreaves
method (HG) were evaluated in 12 stations in the North West region
of Iran. Results of HG and M.HG methods were compared with
results of PM method. Statistical analysis of this comparison showed
that calibration process has had significant effect on efficiency of
Hargreaves method.},
	    journal   = {International Journal of Environmental and Ecological Engineering},
	  volume    = {9},
	  number    = {7},
	  year      = {2015},
	  pages     = {837 - 840},
	  ee        = {https://publications.waset.org/pdf/10001880},
	  url   	= {https://publications.waset.org/vol/103},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 103, 2015},
	}