Author:
Lu Tong,Li Zhigang,Chen Yubao,Bu Zhichao,Wang Xiaopeng
Abstract
During the Beijing Winter Olympics, three sets of aerosol lidar in different regions were used to conduct continuous observations to study the optical properties and vertical distribution characteristics of atmospheric aerosol. Based on the lidar data and sun photometer data, the accurate lidar ratio was determined to improve the inversion accuracy of the aerosol backscattering coefficient. The influence of meteorological conditions such as temperature, relative humidity, wind speed, and wind direction on the optical properties of aerosol were analyzed, and the type of aerosol was classified by the depolarization ratio of aerosol particles and CALIPSO data. Furthermore, the backward trajectory analysis, potential source contribution function (PSCF), and concentration weighted trajectories (CWT) were employed to explore the sources and transport mechanisms of pollutants. The analysis found that the extinction coefficient under the atmospheric boundary layer during the Winter Olympics had a spatial distribution pattern of high value in the southeast and low value in the northwest. The occurrence of aerosol pollution events is not only caused by local emissions, but is also related to regional transmission.
Funder
National key R&D plan of China
National Natural Science Foundation of China
Natural Science Foundation of Shandong Province
Subject
Atmospheric Science,Environmental Science (miscellaneous)
Reference32 articles.
1. Health effects of fine particulate air pollution: Lines that connect;J. Air Waste Manag. Assoc.,2006
2. Optical, Radiative and Chemical Characteristics of Aerosol in Changsha City, Central China;Adv. Atmos. Sci.,2020
3. Aerosol versus greenhouse gas impacts on Southern Hemisphere general circulation changes;Clim. Dyn.,2018
4. Constraining the instantaneous aerosol influence on cloud albedo;Proc. Natl. Acad. Sci. USA,2017
5. Disentangling the influence of local and remote anthropogenic aerosols on South Asian monsoon daily rainfall characteristics;Clim. Dyn.,2018
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