| Based on the remote sensing data, using multiple linear regression model of the ground observation data of PM2.5concentration and AOD, meteorological data and ground vegetation cover, the PM2.5 concentration distribution in Jiangsu has been inverted. The results showed that AOD, meteorological data and ground vegetation cover could reflect the temporal and spatial distribution characteristics of PM2.5mass concentration. The mass concentration of PM2.5in Jiangsu showed obvious temporal and spatial distribution characteristics. In terms of time, the concentration of PM2.5were higher in winter and lower in spring. In terms of space, high concentration of PM2.5was concentrated in Suxichang, Ningzhenyang and Taizhou, Nantong, and other southeast coastal cities in spring and winter. PM2.5concentration showed opposite trend in summer and autumn near the northwest inland of Yancheng, Lianyungang, Xuzhou, Huaian, Suqian. |
