The research of PM2.5 concentrations model based on regression calculation model Free

In this paper, we mainly use the urban air quality monitoring data as the study data, the relationship between PM2.5 concentrations and several major air pollutant concentrations, meteorological elements in the same period are analyzed respectively. Through the analysis, we find that there is a significant correlation characteristic between the concentrations of PM2.5 and the concentrations of PM10, SO₂, NO₂, O₃, CO, temperature and humidity. So, we take these factors as the variables; make a multiple linear regression analysis about PM2.5 concentrations, set up the urban PM2.5 concentrations regression calculation model. Through the estimation results of the model. In comparisons with the observed results, two results are basically identical, which shows that the regression model has a good fitting effect and use value.