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Characteristics of boundary layer ozone and its effect on surface ozone concentration in Shenzhen, China: A case study.
He, Guowen; Deng, Tao; Wu, Dui; Wu, Cheng; Huang, Xiaofeng; Li, Zhenning; Yin, Changqin; Zou, Yu; Song, Lang; Ouyang, Shanshan; Tao, Liping; Zhang, Xue.
Afiliação
  • He G; Guangdong Engineering Research Center for Online Atmospheric Pollution Source Appointment Mass Spectrometry System, Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China; Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory
  • Deng T; Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, Guangzhou 510640, China. Electronic address: tdeng@gd121.cn.
  • Wu D; Guangdong Engineering Research Center for Online Atmospheric Pollution Source Appointment Mass Spectrometry System, Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China; Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory
  • Wu C; Guangdong Engineering Research Center for Online Atmospheric Pollution Source Appointment Mass Spectrometry System, Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China.
  • Huang X; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
  • Li Z; Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong 999077, China.
  • Yin C; Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, Guangzhou 510640, China.
  • Zou Y; Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, Guangzhou 510640, China.
  • Song L; Guangdong Provincial Academy of Environmental Science, Guangzhou 510045, China.
  • Ouyang S; Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China.
  • Tao L; Guangdong Engineering Research Center for Online Atmospheric Pollution Source Appointment Mass Spectrometry System, Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China.
  • Zhang X; Guangdong Engineering Research Center for Online Atmospheric Pollution Source Appointment Mass Spectrometry System, Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China.
Sci Total Environ ; 791: 148044, 2021 Oct 15.
Article em En | MEDLINE | ID: mdl-34118664
ABSTRACT
In late September 2019, the longest and most extensive ozone (O3) pollution process occurred at Pearl River Delta. Base on the observational data, surface-level O3, vertical distribution characteristics boundary layer O3 as well as its effect on surface-level O3 are thoroughly analyzed. The O3 lidar results showed similar vertical O3 profiles both in pollution episodes and clean periods, from which a high O3 concentration layer between 300 and 500 m and a sub-high O3 concentration layer between 1300 and 1700 m (near the top of the mixing layer) can be found. Besides, the downward O3 transport paths from the high/sub-high O3 concentration layers could be observed along with the boundary layer evolution At nighttime, large amounts of O3 were effectively stored into the residual layer (RL). Due to the upward development of Mixing layer (ML) in early morning, atmospheric vertical mixing carried the O3 inside the RL down to the surface, which led to a rapid increase in the surface-level O3. The sub-high O3 layer began the downward mixing at noon, and became well-mixed after the boundary layer was fully developed in the afternoon, by which the near surface O3 pollution deteriorated again. Further analysis of the heavy O3 pollution episodes show that, the high O3 concentration inside the RL contributed 54% ± 6% of the surface-level O3 at 900 LT and the average contribution of O3 in the sub-high concentration layer to the surface-level O3 at 1400 LT was 26% ± 9%. Based on the quantitative analysis of the observational data, this paper focus to reveal the importance of the contribution of O3 inside the RL and near the top of the ML to the surface O3.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ozônio / Poluentes Atmosféricos / Poluição do Ar Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ozônio / Poluentes Atmosféricos / Poluição do Ar Idioma: En Ano de publicação: 2021 Tipo de documento: Article