Analysis of improvement effect of PM2.5 and gaseous pollutants in Beijing based on self-organizing map network

摘要: Abstract The efforts in controlling PM2.5 have made achievements China, whereas O3 increased when reduced. We used Pearson correlation analysis, self-organizing map, and least squares method to analyze the spatiotemporal characteristics of PM2.5, SO2, CO, NO2, Beijing from 2014 2019 under atmospheric control measures. influence land surface temperature (LST) on pollution was also explored. strongly correlated with CO NO2 moderately SO2. four pollutants were negatively O3. strengthened winter changed significantly summer. Notably, showed most obvious decline exhibited seasonal variability, higher levels autumn winter. Spatially, south lower north. urban zones. For gaseous pollutants, decreased a small decrease their consistency opposite trend. SO2 all districts declined, but some areas. ecological conservation development zone than Finally, only LST 2019.