RELATIONSHIP BETWEEN AIR PARTICULATE MATTER AND METEOROLOGICAL PARAMETERS

Abstract

Air pollution is an environmental problem in urban societies. This study investigated particles concentration in the atmosphere of Qom city in Iran. According to the EPA guidelines with Grimm apparatus, sampling particulate matter was performed for 24 hours with 10 minutes intervals in 4 stations during 2013. The Jar test was also used for dust fall. Descriptive statistical methods (Mean, standard deviation and interquartile range). The results show-ed that the highest mean of PM1 was observed in September-October, PM2.5 in March-April and PM10 in May-June, respectively. The mean of PM2.5 and PM10 were higher than WHO guideline and lower than NAAQS. The findings showed that there is a positive relationship between PM10 and temperature (Pvalue =0.04 & r=0.35), reverse correlation with humidity (Pvalue =0.001 & r=-0.57) and rainfall (Pvalue =0.04 & r=-0.35). The results also indicated that a direct association between dust fall and temperature (Pvalue =0.014 & r=0.85), and reverse correlation with humidity (Pvalue =0.03 & r=-0.79) are observable. Furthermore, total mean of particle matter were higher than standard concentration. Decreasing emission from fuel combustion, creating green space, planning and cooperation of all responsible organizations can be effective in decreasing the effect of particulate pollutant on air quality and human health.