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Vertical structure and transport characteristic of aerosol and O3 during the emergency control period in Wuhan, China, using vehicle-lidar observations

文献类型：期刊论文

作者Pan, Ying2,4; Xiang, Yan1; Zhang, Tianshu3,4; Lv, Lihui1; Liu, Wenqing3,4
刊名ATMOSPHERIC ENVIRONMENT
出版日期2024-11-15
卷号337
关键词Emergency control Aerosol Ozone Vehicle lidar Wuhan Vertical profile
ISSN号1352-2310
DOI10.1016/j.atmosenv.2024.120762
通讯作者Xiang, Yan(yxiang@ahu.edu.cn) ; Zhang, Tianshu(tszhang@aiofm.ac.cn)
英文摘要During the Lunar New Year of 2020, the Chinese government implemented a strict nationwide lockdown to prevent the spread of the COVID-19, which may have led to changes in the distribution of pollutants. To enhance our understanding of the three-dimensional evolution of pollutants under special control scenarios, this study used vehicle lidar to obtain vertical profiles of aerosols and ozone (O3) in Wuhan during the pandemic. Combined with ground observations and WRF-Chem model simulation results, we explored the evolution characteristics of pollutants. The results showed that the fine particulate matter (PM2.5) concentration near the ground in Wuhan City was significantly reduced (40%) during the emission control period. The aerosol concentration decreased rapidly with an increase in height, and the maximum loading height was consistent with the atmospheric boundary layer height. Conversely, due to factors such as the reduction of the precursor nitrogen dioxide (NO2) and rising temperatures, the near-ground O3 concentration increased by 59%. Despite the significant reduction in emission sources, lidar observations still captured distinct aerosol transport layers on March 7 and March 10, 2020. These transport layers gradually descended, affecting the ground-level aerosol concentration. Additionally, one typical process of O3 external transport was observed in the vertical direction. Our study provides a theoretical basis for a deeper understanding of the spatiotemporal distribution characteristics of pollutants during special control scenarios, aiding policymakers in formulating effective air pollution control strategies.
WOS关键词YANGTZE-RIVER DELTA ; AIR-QUALITY ; OZONE CONCENTRATION ; URBAN CITY ; PM2.5 ; COVID-19 ; CLOUD ; ASSIMILATION ; TEMPERATURE ; SENSITIVITY
资助项目National Key R & D Program of China[2022YFC3704000] ; National Key R & D Program of China[2022YFC3700400] ; Chinese Academy of Engineering Project for COVID-19[2020-KYGG-01-01] ; National Natural Science Foundation of China[42305149] ; Key R & D Project in Shanxi Province[202202150401009]
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:001301888600001
出版者PERGAMON-ELSEVIER SCIENCE LTD
资助机构National Key R & D Program of China ; Chinese Academy of Engineering Project for COVID-19 ; National Natural Science Foundation of China ; Key R & D Project in Shanxi Province
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/134941]  
专题中国科学院合肥物质科学研究院
通讯作者Xiang, Yan; Zhang, Tianshu
作者单位1.Anhui Univ, Inst Phys Sci & Informat Technol, Informat Mat & Intelligent Sensing Lab Anhui Prov, Hefei 230601, Peoples R China
2.Univ Sci & Technol China, Hefei 230026, Peoples R China
3.Hefei Comprehens Natl Sci Ctr, Inst Environm, Hefei 230088, Peoples R China
4.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Key Lab Environm Opt & Technol, Hefei 230031, Peoples R China
推荐引用方式
GB/T 7714		 Pan, Ying,Xiang, Yan,Zhang, Tianshu,et al. Vertical structure and transport characteristic of aerosol and O3 during the emergency control period in Wuhan, China, using vehicle-lidar observations[J]. ATMOSPHERIC ENVIRONMENT,2024,337.
APA Pan, Ying,Xiang, Yan,Zhang, Tianshu,Lv, Lihui,&Liu, Wenqing.(2024).Vertical structure and transport characteristic of aerosol and O3 during the emergency control period in Wuhan, China, using vehicle-lidar observations.ATMOSPHERIC ENVIRONMENT,337.
MLA Pan, Ying,et al."Vertical structure and transport characteristic of aerosol and O3 during the emergency control period in Wuhan, China, using vehicle-lidar observations".ATMOSPHERIC ENVIRONMENT 337(2024).

入库方式： OAI收割

来源：合肥物质科学研究院

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