Study on the Impact Factors of PM2.5 in Shijiazhuang Based on VAR Model
In this paper,the concentration data of air pollutants PM2.5,PM10,SO2,CO,NO2 and O3 as well as meteorological data such as temperature,pressure,humidity and wind speed in Shijiazhuang from December 2,2013 to February 1,2021 are collated and analyzed.By using Vector autoregression(VAR)model,we select the important variables with greater influence on time series of PM2.5 from each air pollutant variable and meteorological variable to probe the dynamic relationship between PM2.5 and im-portant variables and their influence on PM2.5.The results show that the concentrations of SO2,NO2 and O3,the daily mean temperature,the daily mean air pressure and the 2 min average wind speed have sig-nificant effects on the concentration of PM2.5 compared to other variables.In terms of long-term relation-ships,SO2 concentration and mean air pressure have positive effects on PM2.5 concentration,while NO2 concentration,O3 concentration,daily mean temperature and 2 min average wind speed have inhibitory effects on the increase of PM2.5 concentration.
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