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
| 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
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30 citations as recorded by crossref.
- 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
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- 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
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- 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
- 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
- Airborne particle number concentrations in China: A critical review Y. Zhu et al. 10.1016/j.envpol.2022.119470
- Geographical variability of ultrafine particle concentrations in urban and background regions in India V. Mohan et al. 10.1016/j.uclim.2024.102066
- 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
- Parameterization of Dust Emissions from Heaps and Excavations Based on Measurement Results and Mathematical Modelling K. Szymankiewicz et al. 10.3390/rs16132447
- 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
- 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
- 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
- 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
- Atmospheric nanoparticle growth D. Stolzenburg et al. 10.1103/RevModPhys.95.045002
- Analysing the impact of day-night road traffic variation on ultrafine particle number size distribution and concentration at an urban site in the megacity Delhi V. Mohan et al. 10.1016/j.apr.2024.102065
- 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
- The contribution of new particle formation and subsequent growth to haze formation M. Kulmala et al. 10.1039/D1EA00096A
Latest update: 08 May 2025
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...
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