Researchers identify pollution hotspots in China’s Yangtze River Delta (YRD) industrial zones. They use spatial-temporal analysis on air quality data. This reveals key patterns in pollutants like PM2.5, NO2, and SO2.
The YRD region faces heavy industrialization. Cities here include Shanghai, Nanjing, Hangzhou, and Suzhou. Factories, power plants, and traffic drive emissions.
Studies show PM2.5 levels declined significantly from 2015 to 2020. Researchers apply models like spatiotemporal random forest. They integrate satellite AOD, weather data, and vegetation indices. Results indicate winter peaks and summer lows. Moreover, concentrations dropped due to strict policies.
Hotspots persist in inland industrial areas. Cities such as Huaibei, Bozhou, Xuzhou, and parts of Anhui show high PM2.5. These zones feature heavy industry and coal use. In contrast, southeastern mountainous cities like Lishui and Wenzhou record lower levels. Better topography and vegetation aid dispersion.
NO2 often links to traffic and industry. High values appear in urban corridors and port cities. SO2 has decreased sharply from coal controls. However, ozone (O3) rises in recent years. This creates complex co-pollution challenges.
Spatial analysis highlights northern and central YRD as more polluted. Southern coastal parts fare better. Temporal trends confirm overall improvement. Yet, industrial zones remain vulnerable during stagnant weather.
Researchers emphasize local emissions in hotspots. They note regional transport from upwind areas. Policies target factories and vehicles effectively. Nevertheless, sustained efforts are needed for multi-pollutant control.
This analysis supports targeted interventions. It guides cleaner industrial practices in the YRD. Overall, data-driven approaches reveal progress amid ongoing challenges.
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