Abstract: The typical dust pollution process in Taixing City, Jiangsu, China, in the spring 2021 was comprehensively analyzed using the monitoring data of particulate matter from local air quality automatic monitoring station and atmospheric particulate matter monitoring lidar, as well as the meteorological data, and HYSPLIT air mass backward trajectory model. The results show that: 1) At the initial stage of dust pollution, the concentration of PM10 increases significantly, and when the pollution is serious, PM2.5/PM10 decreases to about 0.2. 2) During the influence period of dust pollution, the concentration of particulate matter in Taixing City shows a bimodal distribution, while the reasons for the secondary peak of the two dust polluion events are different, with the secondary peak in the evening of March 30 being related to dust deposition, and that in the morning of May 8 being related to dust backflow caused by the weather system. 3) Combined with the lidar inversion results, it can be seen that in the two dust pollution processes, the dust transport height is generally below 2 km, and the thickness is greater than 1 km; 4) According to air mass backward trajectory analysis, dust transport in Taixing City is mainly from northwest and north, and the potential pollution sources are mainly the imported pollution from Inner Mongolia, Anhui, Henan, Hebei and Hubei. By understanding the spatial and temporal distribution and evolution process of spring dust pollution in Taizhou City, it provides a certain scientific basis for improving the situation of spring particulate matter pollution in the area.

Key words: dust pollution, lidar, Taixing City, spring