The Study of the correlation between air quality index pollution and meteorological parameters in Tehran with regression analysis approach
Subject Areas : Water and EnvironmentSetareh Javanbakht amiri 1 , Seyed Hadi Khatami 2
1 - M.Sc in Environmental Science, Science and Research Branch, Islamic Azad University, Tehran. Iran.
2 - Ph.D in Environmental Ecology Management, University of Wales, England.
Keywords: The Study of the correlation b,
Abstract :
An overwhelming problem of modern life in large and industrial cities can be considered as air pollution. In order to reduce the air pollution harmful consequences, it necessitates finding out crucial air pollution parameters and their lateral effects. In this study, meteorological and air pollution data in Tehran were investigated; afterwards the changes in annual mean and correlation of these parameters and their linear model environmental pollutants were determined based on the meteorological parameters. Meteorological parameters, the important parameters in specifying the air pollution, have been scrutinized in this study. Tehran Air Quality Index pollutants variables (NO2, SO2, O3, CO, PM-10) and meteorological elements can be named as if temperature, relative humidity and wind speed. Meteorological and pollutant data were obtained from, synoptic and department of environment study stations. There of the average annual change of these parameters, correlation and linear model of environmental pollutants based on meteorological parameters has been acquired via statistical software. The results, estimated from 60 equations, illustrated that only through 40 equations the relations between pollutants and meteorological parameters was observed in which the differences in number of sample, type of relation and degree of correlation existed. The best equation with more than 49% coefficient of determination for ozone versus temperature was recognized in Azadi station. This correlation for SO2 versus wind speed with more than 24.9% coefficient of determination was calculated in Vila station. Pardisan station for SO2 versus temperature with more than 32.3% coefficient of determination and Tajrish station for ozone versus temperature coefficient of determination of more than 22.4% were selected as the most outstanding equations. With regard to the fact of the significance of the relation between pollutants and meteorological parameters, it perceived that weather parameters can be effective on the air pollution levels in Tehran.