Feedback effects of boundary-layer meteorological factors on cumulative explosive growth of PM<sub>2.5</sub> during winter heavy pollution episodes in Beijing from 2013 to 2016
In January 2013, February 2014, December 2015 and December 2016 to 10 January 2017, 12 persistent heavy aerosol pollution episodes (HPEs) occurred in Beijing, which received special attention from the public. During the HPEs, the precise cause of PM<sub>2.5</sub> explosive growth (mas...
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doaj-3927a68946504ebe8c68dbf9b86f33ff2020-11-24T23:18:41ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242018-01-011824725810.5194/acp-18-247-2018Feedback effects of boundary-layer meteorological factors on cumulative explosive growth of PM<sub>2.5</sub> during winter heavy pollution episodes in Beijing from 2013 to 2016J. Zhong0X. Zhang1X. Zhang2Y. Dong3Y. Wang4C. Liu5C. Liu6C. Liu7J. Wang8Y. Zhang9H. Che10State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing, ChinaState Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing, ChinaCenter for Excellence in Regional Atmospheric Environment, IUE, Chinese Academy of Sciences, Xiamen, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, ChinaState Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing, ChinaCenter for Excellence in Regional Atmospheric Environment, IUE, Chinese Academy of Sciences, Xiamen, ChinaKey Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, ChinaSchool of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, ChinaState Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing, ChinaState Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing, ChinaDepartment of Physics, University of Oxford, Oxford, UKIn January 2013, February 2014, December 2015 and December 2016 to 10 January 2017, 12 persistent heavy aerosol pollution episodes (HPEs) occurred in Beijing, which received special attention from the public. During the HPEs, the precise cause of PM<sub>2.5</sub> explosive growth (mass concentration at least doubled in several hours to 10 h) is uncertain. Here, we analyzed and estimated relative contributions of boundary-layer meteorological factors to such growth, using ground and vertical meteorological data. Beijing HPEs are generally characterized by the transport stage (TS), whose aerosol pollution formation is primarily caused by pollutants transported from the south of Beijing, and the cumulative stage (CS), in which the cumulative explosive growth of PM<sub>2.5</sub> mass is dominated by stable atmospheric stratification characteristics of southerly slight or calm winds, near-ground anomalous inversion, and moisture accumulation. During the CSs, observed southerly weak winds facilitate local pollutant accumulation by minimizing horizontal pollutant diffusion. Established by TSs, elevated PM<sub>2.5</sub> levels scatter more solar radiation back to space to reduce near-ground temperature, which very likely causes anomalous inversion. This surface cooling by PM<sub>2.5</sub> decreases near-ground saturation vapor pressure and increases relative humidity significantly; the inversion subsequently reduces vertical turbulent diffusion and boundary-layer height to trap pollutants and accumulate water vapor. Appreciable near-ground moisture accumulation (relative humidity > 80 %) would further enhance aerosol hygroscopic growth and accelerate liquid-phase and heterogeneous reactions, in which incompletely quantified chemical mechanisms need more investigation. The positive meteorological feedback noted on PM<sub>2.5</sub> mass explains over 70 % of cumulative explosive growth.https://www.atmos-chem-phys.net/18/247/2018/acp-18-247-2018.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
J. Zhong X. Zhang X. Zhang Y. Dong Y. Wang C. Liu C. Liu C. Liu J. Wang Y. Zhang H. Che |
spellingShingle |
J. Zhong X. Zhang X. Zhang Y. Dong Y. Wang C. Liu C. Liu C. Liu J. Wang Y. Zhang H. Che Feedback effects of boundary-layer meteorological factors on cumulative explosive growth of PM<sub>2.5</sub> during winter heavy pollution episodes in Beijing from 2013 to 2016 Atmospheric Chemistry and Physics |
author_facet |
J. Zhong X. Zhang X. Zhang Y. Dong Y. Wang C. Liu C. Liu C. Liu J. Wang Y. Zhang H. Che |
author_sort |
J. Zhong |
title |
Feedback effects of boundary-layer meteorological factors on cumulative explosive growth of PM<sub>2.5</sub> during winter heavy pollution episodes in Beijing from 2013 to 2016 |
title_short |
Feedback effects of boundary-layer meteorological factors on cumulative explosive growth of PM<sub>2.5</sub> during winter heavy pollution episodes in Beijing from 2013 to 2016 |
title_full |
Feedback effects of boundary-layer meteorological factors on cumulative explosive growth of PM<sub>2.5</sub> during winter heavy pollution episodes in Beijing from 2013 to 2016 |
title_fullStr |
Feedback effects of boundary-layer meteorological factors on cumulative explosive growth of PM<sub>2.5</sub> during winter heavy pollution episodes in Beijing from 2013 to 2016 |
title_full_unstemmed |
Feedback effects of boundary-layer meteorological factors on cumulative explosive growth of PM<sub>2.5</sub> during winter heavy pollution episodes in Beijing from 2013 to 2016 |
title_sort |
feedback effects of boundary-layer meteorological factors on cumulative explosive growth of pm<sub>2.5</sub> during winter heavy pollution episodes in beijing from 2013 to 2016 |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2018-01-01 |
description |
In January 2013, February 2014, December 2015 and December 2016
to 10 January 2017, 12 persistent heavy aerosol pollution episodes
(HPEs) occurred in Beijing, which received special attention from the public. During the HPEs, the precise
cause of PM<sub>2.5</sub> explosive growth (mass concentration at least doubled in
several hours to 10 h) is uncertain. Here, we analyzed and estimated relative
contributions of boundary-layer meteorological factors to such growth, using
ground and vertical meteorological data. Beijing HPEs are generally
characterized by the transport stage (TS), whose aerosol pollution formation
is primarily caused by pollutants transported from the south of Beijing, and
the cumulative stage (CS), in which the cumulative explosive growth of
PM<sub>2.5</sub> mass is dominated by stable atmospheric stratification
characteristics of southerly slight or calm winds, near-ground anomalous
inversion, and moisture accumulation. During the CSs, observed southerly weak
winds facilitate local pollutant accumulation by minimizing horizontal
pollutant diffusion. Established by TSs, elevated PM<sub>2.5</sub> levels scatter
more solar radiation back to space to reduce near-ground temperature,
which very likely causes anomalous inversion. This surface cooling by
PM<sub>2.5</sub> decreases near-ground saturation vapor pressure and increases
relative humidity significantly; the inversion subsequently reduces vertical
turbulent diffusion and boundary-layer height to trap pollutants and
accumulate water vapor. Appreciable near-ground moisture accumulation
(relative humidity > 80 %) would further enhance aerosol hygroscopic growth and
accelerate liquid-phase and heterogeneous reactions, in which incompletely
quantified chemical mechanisms need more investigation. The positive
meteorological feedback noted on PM<sub>2.5</sub> mass explains over 70 % of cumulative
explosive growth. |
url |
https://www.atmos-chem-phys.net/18/247/2018/acp-18-247-2018.pdf |
work_keys_str_mv |
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