Industrial emissions are one of the main factors that lead to the increase of PM2.5 concentration in urban atmosphere.Based on the industrial emission data of city A,the linear regression model was used to explore the relationship between SO2,NOx and particulate matter emissions and PM2.5 concentration.The results showed that these emissions were positively correlated with PM2.5 concentration,and particulate matter emissions had the most significant impact on PM2.5 concentration.Based on this,optimization strategies such as promoting cleaner production,strengthening environmental standards and regulations,promoting industrial restructuring and enhancing public participation are proposed.
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