عنوان مقاله [English]
نویسندگان [English]چکیده [English]
Ozone is one of the main pollutants in the agricultural sector and each year many of agricultural products have damaged due to exposure of this gas in terms of qualitative and quantitative, however the formation of ozone as a secondary pollutant is affected by ambient atmospheric conditions. Although due to insufficient instrument for measuring ozone in agricultural and rural places in Iran, presenting an equation for predicting ozone is necessary. In this study, various statistical models based on the values of Meteorological variables and atmospheric concentrations of pollutants (as input variables) to predict changes in the concentration of Troposphere ozone in scale of time and an hour a day is presented. These researches shows that the equations contains two parameters, main square of sun radiation and main square of carbon monoxide concentration could expresses the 35% of ozone fluctuations during a day. How ever, it seems that the regression models and complex Orthogonal functions have high efficiency to expressing ozone fluctuations and predicting the concentrations of it, but many input parameters of them cause that these models are not useful for applied fields.