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...

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Main Authors: Y. Zhou, L. Dada, Y. Liu, Y. Fu, J. Kangasluoma, T. Chan, C. Yan, B. Chu, K. R. Daellenbach, F. Bianchi, T. V. Kokkonen, J. Kujansuu, V.-M. Kerminen, T. Petäjä, L. Wang, J. Jiang, M. Kulmala
Format: Article
Language:English
Published: Copernicus Publications 2020-01-01
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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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&thinsp;nm–1&thinsp;<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
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spelling 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&thinsp;nm–1&thinsp;<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