Research On PM2.5 Influencing Factors Based On Correlation Analysis

Air quality has an important impact on people’s health and PM2.5 is an important indicator of air quality which is affected by many factors.Harbin is the capital of Heilongjiang Province,it is one of the central cities in Northeast China,Harbin’s air quality issues are concerned by the government and the public.First,the time law of PM2.5 concentration in Harbin is studied.Its concentration is found to be higher at noon and evening,lower in the afternoon.Then the effects of meteorological factors such as weather,wind direction and temperature on the concentration of PM2.5 are analyzed.The results show that different degrees of rainfall have significant dilution and scavenging effects on PM2.5,the concentration of PM2.5 in the southwest wind is higher.When the wind reaches 8,the concentration of PM2.5 is the highest.The concentration change has a negative correlation with temperature and relative humidity,and it has a positive correlation with air pressure.Based on temperature,pressure,relative humidity and wind,a linear regression model is established about PM2.5.The result of cross-validation shows that the prediction effect of the model is better.Finally,using the Spearman rank correlation coefficient,the correlation between PM2.5 concentration and meteorological factors is analyzed.The effects of meteorological factors on PM2.5concentration are different in different seasons,and compared to the other three seasons,the PM2.5 concentration of winter is the highest.