Prediction of PM2.5 Concentration Based on Multiple Linear Regression

With the frequent occurrence of haze weather, the concentration prediction of PM2.5, the main pollutant in haze weather, has gradually become a hot topic. Based on the analysis of historical data of PM2.5 and related weather information in Changsha City, this paper establishes a multivariate linear regression model to predict the concentration of PM2.5. The validity of the model is verified by comparing the predicted value with the observed value. The model has a good application value for the prediction of PM2.5 concentration.