• 研究报告 •

### 2015—2019年中东部地区PM2.5时空演变及其驱动力

1. （西北师范大学地理与环境科学学院， 兰州 730070）
• 出版日期:2021-03-10 发布日期:2021-03-17

### Spatiotemporal variations of PM2.5 and driving factors over central and eastern China between 2015 and 2019.

YAO Rong-peng, ZHANG Bo*, WANG Li-bing, ZHANG Yao-wen

1. (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China).
• Online:2021-03-10 Published:2021-03-17

Abstract: Smog events are widespread in central and eastern China. Scientifically identifying the spatiotemporal variations and the drivers of PM2.5, the primary cause of smog, is of great significance for regional prevention and control. Using PM2.5 data from December 2014 to November 2019 of the national air quality monitoring stations, the spatiotemporal characteristics and variations of PM2.5 pollution were analyzed by using the methods of geostatistics, REOF and Geodetector. The region classifications were identified, and the driving factors for differentiation of PM2.5 were identified in each region. The results showed a steady downward trend in mean annual PM2.5 concentration in central and eastern China, with a mean annual decrease of 3.2 μg·m-3. The area with high annual PM2.5 concentration showed a rapid spatial contraction. There was an insignificant increasing tendency of PM2.5 pollution days in some areas. The concentration of PM2.5 decreased outwardly in the center of BeijingTianjinHebei, with a characteristic of “higher concentration in the north than in the south”. The strong spatial agglomeration of PM2.5 concentration was distributed in central and eastern China. The values of global Moran’s I in all four seasons exceeded 0.70 (P<0.01). Hot spots were mostly distributed in and around the North China Plain, while cold spots were distributed in south China. Based on the result of REOF, three regions were classified. Their boundaries roughly overlapped with the topography and geomorphology. The time coefficients showed a “pulse” downward trend, indicating a significant improvement trend of PM2.5 pollution. Meteorological factors and human activities are essential drivers for the differentiation of PM2.5 in different regions, with the key drivers being region-specific.