Articles | Volume 20, issue 19
https://doi.org/10.5194/acp-20-11329-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-11329-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Oct 2020
Research article |
| 05 Oct 2020
Size-resolved particle number emissions in Beijing determined from measured particle size distributions
Jenni Kontkanen
CORRESPONDING AUTHOR
Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for
Soft Matter Science and Engineering, Beijing University of Chemical
Technology, Beijing, China
Institute for Atmospheric and Earth System Research (Physics), Faculty
of Science, University of Helsinki, Helsinki, Finland
Chenjuan Deng
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing, China
Yueyun Fu
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing, China
Lubna Dada
Institute for Atmospheric and Earth System Research (Physics), Faculty
of Science, University of Helsinki, Helsinki, Finland
Ying Zhou
Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for
Soft Matter Science and Engineering, Beijing University of Chemical
Technology, Beijing, China
Jing Cai
Institute for Atmospheric and Earth System Research (Physics), Faculty
of Science, University of Helsinki, Helsinki, Finland
Kaspar R. Daellenbach
Institute for Atmospheric and Earth System Research (Physics), Faculty
of Science, University of Helsinki, Helsinki, Finland
Simo Hakala
Institute for Atmospheric and Earth System Research (Physics), Faculty
of Science, University of Helsinki, Helsinki, Finland
Tom V. Kokkonen
Institute for Atmospheric and Earth System Research (Physics), Faculty
of Science, University of Helsinki, Helsinki, Finland
Joint International Research Laboratory of Atmospheric and Earth
System Sciences, School of Atmospheric Sciences, Nanjing University,
Nanjing, China
Zhuohui Lin
Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for
Soft Matter Science and Engineering, Beijing University of Chemical
Technology, Beijing, China
Yongchun Liu
Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for
Soft Matter Science and Engineering, Beijing University of Chemical
Technology, Beijing, China
Yonghong Wang
Institute for Atmospheric and Earth System Research (Physics), Faculty
of Science, University of Helsinki, Helsinki, Finland
Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for
Soft Matter Science and Engineering, Beijing University of Chemical
Technology, Beijing, China
Institute for Atmospheric and Earth System Research (Physics), Faculty
of Science, University of Helsinki, Helsinki, Finland
Tuukka Petäjä
Institute for Atmospheric and Earth System Research (Physics), Faculty
of Science, University of Helsinki, Helsinki, Finland
Jingkun Jiang
State Key Joint Laboratory of Environmental Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing, China
Markku Kulmala
Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for
Soft Matter Science and Engineering, Beijing University of Chemical
Technology, Beijing, China
Institute for Atmospheric and Earth System Research (Physics), Faculty
of Science, University of Helsinki, Helsinki, Finland
Pauli Paasonen
Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for
Soft Matter Science and Engineering, Beijing University of Chemical
Technology, Beijing, China
Institute for Atmospheric and Earth System Research (Physics), Faculty
of Science, University of Helsinki, Helsinki, Finland
Viewed
Total article views: 2,197 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Mar 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,513 | 654 | 30 | 2,197 | 29 | 42 |
- HTML: 1,513
- PDF: 654
- XML: 30
- Total: 2,197
- BibTeX: 29
- EndNote: 42
Total article views: 1,468 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Oct 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,050 | 399 | 19 | 1,468 | 20 | 30 |
- HTML: 1,050
- PDF: 399
- XML: 19
- Total: 1,468
- BibTeX: 20
- EndNote: 30
Total article views: 729 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Mar 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 463 | 255 | 11 | 729 | 9 | 12 |
- HTML: 463
- PDF: 255
- XML: 11
- Total: 729
- BibTeX: 9
- EndNote: 12
Viewed (geographical distribution)
Total article views: 2,197 (including HTML, PDF, and XML)
Thereof 2,030 with geography defined
and 167 with unknown origin.
Total article views: 1,468 (including HTML, PDF, and XML)
Thereof 1,363 with geography defined
and 105 with unknown origin.
Total article views: 729 (including HTML, PDF, and XML)
Thereof 667 with geography defined
and 62 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
24 citations as recorded by crossref.
- Is reducing new particle formation a plausible solution to mitigate particulate air pollution in Beijing and other Chinese megacities? M. Kulmala et al. 10.1039/D0FD00078G
- Atmospheric gaseous hydrochloric and hydrobromic acid in urban Beijing, China: detection, source identification and potential atmospheric impacts X. Fan et al. 10.5194/acp-21-11437-2021
- Towards a concentration closure of sub-6 nm aerosol particles and sub-3 nm atmospheric clusters M. Kulmala et al. 10.1016/j.jaerosci.2021.105878
- Characteristics of Scanning Flow Condensation Particle Counter (SFCPC): A rapid approach for retrieving hygroscopicity and chemical composition of sub-10 nm aerosol particles K. Zhang et al. 10.1080/02786826.2023.2245859
- Review of online measurement techniques for chemical composition of atmospheric clusters and sub-20 nm particles K. Zhang et al. 10.3389/fenvs.2022.937006
- Source-oriented risk and lung-deposited surface area (LDSA) of ultrafine particles in a Southeast Asia urban area T. Chen et al. 10.1016/j.scitotenv.2023.161733
- Composition of Ultrafine Particles in Urban Beijing: Measurement Using a Thermal Desorption Chemical Ionization Mass Spectrometer X. Li et al. 10.1021/acs.est.0c06053
- Impact of emissions from a single urban source on air quality estimated from mobile observation and WRF-STILT model simulations H. Fan et al. 10.1007/s11869-021-01023-9
- Influence of organic aerosol molecular composition on particle absorptive properties in autumn Beijing J. Cai et al. 10.5194/acp-22-1251-2022
- Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective H. Lappalainen et al. 10.5194/acp-22-4413-2022
- Measurement report: New particle formation characteristics at an urban and a mountain station in northern China Y. Zhou et al. 10.5194/acp-21-17885-2021
- Characterization of offline analysis of particulate matter with FIGAERO-CIMS J. Cai et al. 10.5194/amt-16-1147-2023
- Observed coupling between air mass history, secondary growth of nucleation mode particles and aerosol pollution levels in Beijing S. Hakala et al. 10.1039/D1EA00089F
- Contribution of traffic-originated nanoparticle emissions to regional and local aerosol levels M. Olin et al. 10.5194/acp-22-1131-2022
- Particle number size distribution and new particle formation in Xiamen, the coastal city of Southeast China in wintertime J. Wang et al. 10.1016/j.scitotenv.2022.154208
- Impacts of coagulation on the appearance time method for new particle growth rate evaluation and their corrections R. Cai et al. 10.5194/acp-21-2287-2021
- Size-segregated particle number and mass concentrations from different emission sources in urban Beijing J. Cai et al. 10.5194/acp-20-12721-2020
- Emerging Investigator Series: COVID-19 lockdown effects on aerosol particle size distributions in northern Italy J. Shen et al. 10.1039/D1EA00016K
- Comparison of PM spatiotemporal variations and exposure at adjacent signalized intersection and roundabout W. Li et al. 10.1016/j.uclim.2023.101590
- Survival probabilities of atmospheric particles: comparison based on theory, cluster population simulations, and observations in Beijing S. Tuovinen et al. 10.5194/acp-22-15071-2022
- Atmospheric transformation of urban particle number size distributions during the transport along street canyons as quantified by an aerosol sectional model L. Gerling & S. Weber 10.1016/j.apr.2021.101296
- Co-benefits of deep carbon reduction on air quality and health improvement in Sichuan Province of China S. Zhang et al. 10.1088/1748-9326/ac1133
- Airborne particle number concentrations in China: A critical review Y. Zhu et al. 10.1016/j.envpol.2022.119470
- The contribution of new particle formation and subsequent growth to haze formation M. Kulmala et al. 10.1039/D1EA00096A
24 citations as recorded by crossref.
- Is reducing new particle formation a plausible solution to mitigate particulate air pollution in Beijing and other Chinese megacities? M. Kulmala et al. 10.1039/D0FD00078G
- Atmospheric gaseous hydrochloric and hydrobromic acid in urban Beijing, China: detection, source identification and potential atmospheric impacts X. Fan et al. 10.5194/acp-21-11437-2021
- Towards a concentration closure of sub-6 nm aerosol particles and sub-3 nm atmospheric clusters M. Kulmala et al. 10.1016/j.jaerosci.2021.105878
- Characteristics of Scanning Flow Condensation Particle Counter (SFCPC): A rapid approach for retrieving hygroscopicity and chemical composition of sub-10 nm aerosol particles K. Zhang et al. 10.1080/02786826.2023.2245859
- Review of online measurement techniques for chemical composition of atmospheric clusters and sub-20 nm particles K. Zhang et al. 10.3389/fenvs.2022.937006
- Source-oriented risk and lung-deposited surface area (LDSA) of ultrafine particles in a Southeast Asia urban area T. Chen et al. 10.1016/j.scitotenv.2023.161733
- Composition of Ultrafine Particles in Urban Beijing: Measurement Using a Thermal Desorption Chemical Ionization Mass Spectrometer X. Li et al. 10.1021/acs.est.0c06053
- Impact of emissions from a single urban source on air quality estimated from mobile observation and WRF-STILT model simulations H. Fan et al. 10.1007/s11869-021-01023-9
- Influence of organic aerosol molecular composition on particle absorptive properties in autumn Beijing J. Cai et al. 10.5194/acp-22-1251-2022
- Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective H. Lappalainen et al. 10.5194/acp-22-4413-2022
- Measurement report: New particle formation characteristics at an urban and a mountain station in northern China Y. Zhou et al. 10.5194/acp-21-17885-2021
- Characterization of offline analysis of particulate matter with FIGAERO-CIMS J. Cai et al. 10.5194/amt-16-1147-2023
- Observed coupling between air mass history, secondary growth of nucleation mode particles and aerosol pollution levels in Beijing S. Hakala et al. 10.1039/D1EA00089F
- Contribution of traffic-originated nanoparticle emissions to regional and local aerosol levels M. Olin et al. 10.5194/acp-22-1131-2022
- Particle number size distribution and new particle formation in Xiamen, the coastal city of Southeast China in wintertime J. Wang et al. 10.1016/j.scitotenv.2022.154208
- Impacts of coagulation on the appearance time method for new particle growth rate evaluation and their corrections R. Cai et al. 10.5194/acp-21-2287-2021
- Size-segregated particle number and mass concentrations from different emission sources in urban Beijing J. Cai et al. 10.5194/acp-20-12721-2020
- Emerging Investigator Series: COVID-19 lockdown effects on aerosol particle size distributions in northern Italy J. Shen et al. 10.1039/D1EA00016K
- Comparison of PM spatiotemporal variations and exposure at adjacent signalized intersection and roundabout W. Li et al. 10.1016/j.uclim.2023.101590
- Survival probabilities of atmospheric particles: comparison based on theory, cluster population simulations, and observations in Beijing S. Tuovinen et al. 10.5194/acp-22-15071-2022
- Atmospheric transformation of urban particle number size distributions during the transport along street canyons as quantified by an aerosol sectional model L. Gerling & S. Weber 10.1016/j.apr.2021.101296
- Co-benefits of deep carbon reduction on air quality and health improvement in Sichuan Province of China S. Zhang et al. 10.1088/1748-9326/ac1133
- Airborne particle number concentrations in China: A critical review Y. Zhu et al. 10.1016/j.envpol.2022.119470
- The contribution of new particle formation and subsequent growth to haze formation M. Kulmala et al. 10.1039/D1EA00096A
Latest update: 28 Sep 2023
Short summary
To estimate the impacts of atmospheric aerosol particles on air quality, knowledge of size distributions of particles emitted from anthropogenic sources is needed. We introduce a new method for determining size-resolved particle number emissions from measured particle size distributions. We apply our method to data measured in Beijing, China. We find that particle number emissions at our site are dominated by emissions of particles smaller than 30 nm, originating mainly from traffic.
To estimate the impacts of atmospheric aerosol particles on air quality, knowledge of size...
Altmetrics
Final-revised paper
Preprint