Variation of size-segregated particle number concentrations in wintertime Beijing
<p>The spatial and temporal variability of the number size distribution of aerosol particles is an indicator of the dynamic behavior of Beijing's atmospheric pollution cocktail. This variation reflects the strength of different primary and secondary sources, such as traffic and new partic...
Main Authors: | , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Copernicus Publications
2020-01-01
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Series: | Atmospheric Chemistry and Physics |
Online Access: | https://www.atmos-chem-phys.net/20/1201/2020/acp-20-1201-2020.pdf |
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doaj-a6acd617c43345af92d0b33d6143a837 |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Y. Zhou L. Dada L. Dada Y. Liu Y. Fu J. Kangasluoma J. Kangasluoma T. Chan T. Chan C. Yan B. Chu K. R. Daellenbach K. R. Daellenbach F. Bianchi T. V. Kokkonen Y. Liu J. Kujansuu J. Kujansuu V.-M. Kerminen T. Petäjä L. Wang J. Jiang M. Kulmala M. Kulmala |
spellingShingle |
Y. Zhou L. Dada L. Dada Y. Liu Y. Fu J. Kangasluoma J. Kangasluoma T. Chan T. Chan C. Yan B. Chu K. R. Daellenbach K. R. Daellenbach F. Bianchi T. V. Kokkonen Y. Liu J. Kujansuu J. Kujansuu V.-M. Kerminen T. Petäjä L. Wang J. Jiang M. Kulmala M. Kulmala Variation of size-segregated particle number concentrations in wintertime Beijing Atmospheric Chemistry and Physics |
author_facet |
Y. Zhou L. Dada L. Dada Y. Liu Y. Fu J. Kangasluoma J. Kangasluoma T. Chan T. Chan C. Yan B. Chu K. R. Daellenbach K. R. Daellenbach F. Bianchi T. V. Kokkonen Y. Liu J. Kujansuu J. Kujansuu V.-M. Kerminen T. Petäjä L. Wang J. Jiang M. Kulmala M. Kulmala |
author_sort |
Y. Zhou |
title |
Variation of size-segregated particle number concentrations in wintertime Beijing |
title_short |
Variation of size-segregated particle number concentrations in wintertime Beijing |
title_full |
Variation of size-segregated particle number concentrations in wintertime Beijing |
title_fullStr |
Variation of size-segregated particle number concentrations in wintertime Beijing |
title_full_unstemmed |
Variation of size-segregated particle number concentrations in wintertime Beijing |
title_sort |
variation of size-segregated particle number concentrations in wintertime beijing |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2020-01-01 |
description |
<p>The spatial and temporal variability of the number size distribution of
aerosol particles is an indicator of the dynamic behavior of Beijing's
atmospheric pollution cocktail. This variation reflects the strength of different
primary and secondary sources, such as traffic and new particle formation,
as well as the main processes affecting the particle population. In this
paper, we report size-segregated particle number concentrations observed at
a newly developed Beijing station during the winter of 2018. Our
measurements covered particle number size distributions over the diameter
range of 1.5 nm–1 <span class="inline-formula">µ</span>m (cluster mode, nucleation mode, Aitken mode and
accumulation mode), thus being descriptive of a major fraction of the
processes taking place in the atmosphere of Beijing. Here we focus on
explaining the concentration variations in the observed particle modes, by
relating them to the potential aerosol sources and sinks, and on
understanding the connections between these modes. We considered haze days
and new particle formation event days separately. Our results show that
during the new particle formation (NPF) event days increases in cluster mode
particle number concentration were observed, whereas during the haze days
high concentrations of accumulation mode particles were present. There was a
tight connection between the cluster mode and nucleation mode on both NPF
event and haze days. In addition, we correlated the particle number
concentrations in different modes with concentrations of trace gases and
other parameters measured at our station. Our results show that the particle
number concentration in all the modes correlated with <span class="inline-formula">NO<sub><i>x</i></sub></span>, which
reflects the contribution of traffic to the whole submicron size range. We
also estimated the contribution of ion-induced nucleation in Beijing, and
we found this contribution to be negligible.</p> |
url |
https://www.atmos-chem-phys.net/20/1201/2020/acp-20-1201-2020.pdf |
work_keys_str_mv |
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doaj-a6acd617c43345af92d0b33d6143a8372020-11-25T00:11:30ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242020-01-01201201121610.5194/acp-20-1201-2020Variation of size-segregated particle number concentrations in wintertime BeijingY. Zhou0L. Dada1L. Dada2Y. Liu3Y. Fu4J. Kangasluoma5J. Kangasluoma6T. Chan7T. Chan8C. Yan9B. Chu10K. R. Daellenbach11K. R. Daellenbach12F. Bianchi13T. V. Kokkonen14Y. Liu15J. Kujansuu16J. Kujansuu17V.-M. Kerminen18T. Petäjä19L. Wang20J. Jiang21M. Kulmala22M. Kulmala23Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, 100029 Beijing, ChinaAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, 100029 Beijing, ChinaInstitute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, Helsinki, FinlandShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP), Department of Environmental Science and Engineering, Jingwan Campus, Fudan University, Shanghai 200438, ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, 100084 Beijing, ChinaAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, 100029 Beijing, ChinaInstitute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, Helsinki, FinlandAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, 100029 Beijing, ChinaInstitute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, Helsinki, FinlandInstitute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, Helsinki, FinlandInstitute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, Helsinki, FinlandAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, 100029 Beijing, ChinaInstitute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, Helsinki, FinlandInstitute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, Helsinki, FinlandInstitute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, Helsinki, FinlandAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, 100029 Beijing, ChinaAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, 100029 Beijing, ChinaInstitute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, Helsinki, FinlandInstitute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, Helsinki, FinlandInstitute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, Helsinki, FinlandShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP), Department of Environmental Science and Engineering, Jingwan Campus, Fudan University, Shanghai 200438, ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, 100084 Beijing, ChinaAerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, 100029 Beijing, ChinaInstitute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland<p>The spatial and temporal variability of the number size distribution of aerosol particles is an indicator of the dynamic behavior of Beijing's atmospheric pollution cocktail. This variation reflects the strength of different primary and secondary sources, such as traffic and new particle formation, as well as the main processes affecting the particle population. In this paper, we report size-segregated particle number concentrations observed at a newly developed Beijing station during the winter of 2018. Our measurements covered particle number size distributions over the diameter range of 1.5 nm–1 <span class="inline-formula">µ</span>m (cluster mode, nucleation mode, Aitken mode and accumulation mode), thus being descriptive of a major fraction of the processes taking place in the atmosphere of Beijing. Here we focus on explaining the concentration variations in the observed particle modes, by relating them to the potential aerosol sources and sinks, and on understanding the connections between these modes. We considered haze days and new particle formation event days separately. Our results show that during the new particle formation (NPF) event days increases in cluster mode particle number concentration were observed, whereas during the haze days high concentrations of accumulation mode particles were present. There was a tight connection between the cluster mode and nucleation mode on both NPF event and haze days. In addition, we correlated the particle number concentrations in different modes with concentrations of trace gases and other parameters measured at our station. Our results show that the particle number concentration in all the modes correlated with <span class="inline-formula">NO<sub><i>x</i></sub></span>, which reflects the contribution of traffic to the whole submicron size range. We also estimated the contribution of ion-induced nucleation in Beijing, and we found this contribution to be negligible.</p>https://www.atmos-chem-phys.net/20/1201/2020/acp-20-1201-2020.pdf |