摘要：LiDAR and CALIPSO satellites are effective tools for detecting air pollution, and by employing PM<sub>2</sub>.<sub>5</sub> observation data, ground-based LiDAR measurements, CALIPSO satellite data, meteorological data, and back-trajectory analysis, we analyzed the process of pollution (moderate pollution, heavy pollution, excellent weather, and dust transmission weather) in Hefei, China from 24 to 27 January 2019 and analyzed the meteorological conditions and pollutants causing heavy pollution. Observation data from the ground station showed that the concentrations of PM<sub>10</sub> and PM<sub>2</sub>.<sub>5</sub> increased significantly on 25 January; the maximum value of PM<sub>10</sub> was 175 µg/m<sup>3</sup>, and the maximum value of PM<sub>2</sub>.<sub>5</sub> was 170 µg/m<sup>3</sup>. In this study, aerosol transboundary transport was observed using a combination of ground-based LiDAR and CALIPSO satellite observations. This method showed that aerosols were distributed at a height of 3–4 km over Hefei at 12:00 on 26 January, and it was found that the aerosols came from the desert region in northwest China. Moreover, we determined its transport pathway based on the backward trajectory, and the transportation of pollutants from the surrounding important industrial cities in central and eastern China led to severe pollution after aggregating and mixing with local aerosols in Hefei in the winter. Therefore, the method proposed in this paper can effectively monitor the optical properties and transportation process of aerosols, help to explore the causes of pollution under complex conditions, and improve environmental quality.
