An Analysis of Temporal and Spatial Distribution of PM2.5 and Environ-mental Drivers in the Yangtze River Delta
The findings revealed a decreasing trend in PM2.5 concentration during the specified period,reaching its lowest point in early 2020 due to the impact of the COVID-19 pandemic,followed by a slight in-crease thereafter.The analysis identified high-high clusters of PM2.5 concentration in the west and north regions,signifying areas of focus and challenge for pollution prevention and control efforts,while low-low clusters were observed in the south and east with better air quality conditions.Random forest analysis indicated that seven en-vironmental variables accounted for over 98%of the variance,with precipitation and temperature emerging as significant drivers.Notably,wildfire density in winter and autumn emerged as the primary driver of PM2.5 con-centration during winter months.The integration of fire-related data improved the accuracy of PM2.5 concentra-tion predictions,offering valuable insights for policymakers to develop effective air pollution control measures.
temporal and spatial distribution of PM2.5environmental driversspatial clustering analysisrandom forestYangtze River Delta
NETL
NSTL
万方数据
