Articles | Volume 11, issue 7
https://doi.org/10.5194/amt-11-4477-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-4477-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Jul 2018
Research article |
| 26 Jul 2018
| 26 Jul 2018
Data inversion methods to determine sub-3 nm aerosol size distributions using the particle size magnifier
Runlong Cai
State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, 100084 Beijing, China
Institute for Atmospheric and Earth System Research/Physics Faculty of Science, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
Dongsen Yang
Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, 210044 Nanjing, China
Lauri R. Ahonen
Institute for Atmospheric and Earth System Research/Physics Faculty of Science, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
Linlin Shi
Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, 210044 Nanjing, China
Frans Korhonen
Institute for Atmospheric and Earth System Research/Physics Faculty of Science, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
Yan Ma
Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, 210044 Nanjing, China
Jiming Hao
State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, 100084 Beijing, China
Tuukka Petäjä
Institute for Atmospheric and Earth System Research/Physics Faculty of Science, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, 210044 Nanjing, China
Juha Kangasluoma
Institute for Atmospheric and Earth System Research/Physics Faculty of Science, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland
Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, 100029 Beijing, China
Jingkun Jiang
CORRESPONDING AUTHOR
State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, 100084 Beijing, China
Viewed
Total article views: 3,389 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Feb 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,132 | 1,148 | 109 | 3,389 | 102 | 106 |
- HTML: 2,132
- PDF: 1,148
- XML: 109
- Total: 3,389
- BibTeX: 102
- EndNote: 106
Total article views: 2,445 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Jul 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,654 | 695 | 96 | 2,445 | 95 | 94 |
- HTML: 1,654
- PDF: 695
- XML: 96
- Total: 2,445
- BibTeX: 95
- EndNote: 94
Total article views: 944 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Feb 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 478 | 453 | 13 | 944 | 7 | 12 |
- HTML: 478
- PDF: 453
- XML: 13
- Total: 944
- BibTeX: 7
- EndNote: 12
Viewed (geographical distribution)
Total article views: 3,389 (including HTML, PDF, and XML)
Thereof 3,197 with geography defined
and 192 with unknown origin.
Total article views: 2,445 (including HTML, PDF, and XML)
Thereof 2,335 with geography defined
and 110 with unknown origin.
Total article views: 944 (including HTML, PDF, and XML)
Thereof 862 with geography defined
and 82 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
20 citations as recorded by crossref.
- Observation of sub-3nm particles and new particle formation at an urban location in India M. Sebastian et al. 10.1016/j.atmosenv.2021.118460
- Nanocluster aerosol formation via ozone chemistry on worn clothing: Influence of environmental parameters S. Yang & D. Licina 10.1016/j.buildenv.2024.111474
- Inversion methods to determine two-dimensional aerosol mass-mobility distributions II: Existing and novel Bayesian methods T. Sipkens et al. 10.1016/j.jaerosci.2020.105565
- Exploring the use of ground-based remote sensing to identify new particle formation events: A case study in the Beijing area Y. Zhang et al. 10.1016/j.scitotenv.2024.176693
- The standard operating procedure for Airmodus Particle Size Magnifier and nano-Condensation Nucleus Counter K. Lehtipalo et al. 10.1016/j.jaerosci.2021.105896
- Data imputation in in situ-measured particle size distributions by means of neural networks P. Fung et al. 10.5194/amt-14-5535-2021
- Chemistry and human exposure implications of secondary organic aerosol production from indoor terpene ozonolysis C. Rosales et al. 10.1126/sciadv.abj9156
- Overview of methods to characterize the mass, size, and morphology of soot T. Sipkens et al. 10.1016/j.jaerosci.2023.106211
- High Concentration of Atmospheric Sub‐3 nm Particles in Polluted Environment of Eastern China: New Particle Formation and Traffic Emission L. Chen et al. 10.1029/2023JD039669
- Variation of size-segregated particle number concentrations in wintertime Beijing Y. Zhou et al. 10.5194/acp-20-1201-2020
- Overview of measurements and current instrumentation for 1–10 nm aerosol particle number size distributions J. Kangasluoma et al. 10.1016/j.jaerosci.2020.105584
- Infrequent new particle formation in a coastal Mediterranean city during the summer A. Aktypis et al. 10.1016/j.atmosenv.2023.119732
- Influence of Ventilation on Formation and Growth of 1–20 nm Particles via Ozone–Human Chemistry S. Yang et al. 10.1021/acs.est.3c08466
- Factors that govern sub-3 nm particle measurements in an Airmodus® PSM and a TSI® DEG–SMPS Y. Liu et al. 10.1080/02786826.2022.2098686
- Towards understanding the characteristics of new particle formation in the Eastern Mediterranean R. Baalbaki et al. 10.5194/acp-21-9223-2021
- Size resolution of the Airmodus A10 particle size magnifier with purified clusters J. Fernandez de la Mora et al. 10.1016/j.jaerosci.2021.105916
- Review of sub-3 nm condensation particle counters, calibrations, and cluster generation methods J. Kangasluoma & M. Attoui 10.1080/02786826.2019.1654084
- Parameters governing the performance of electrical mobility spectrometers for measuring sub-3 nm particles R. Cai et al. 10.1016/j.jaerosci.2018.11.002
- Size-resolved chemical composition analysis of ions produced by a commercial soft X-ray aerosol neutralizer Y. Liu et al. 10.1016/j.jaerosci.2020.105586
- Assessment of particle size magnifier inversion methods to obtain the particle size distribution from atmospheric measurements T. Chan et al. 10.5194/amt-13-4885-2020
20 citations as recorded by crossref.
- Observation of sub-3nm particles and new particle formation at an urban location in India M. Sebastian et al. 10.1016/j.atmosenv.2021.118460
- Nanocluster aerosol formation via ozone chemistry on worn clothing: Influence of environmental parameters S. Yang & D. Licina 10.1016/j.buildenv.2024.111474
- Inversion methods to determine two-dimensional aerosol mass-mobility distributions II: Existing and novel Bayesian methods T. Sipkens et al. 10.1016/j.jaerosci.2020.105565
- Exploring the use of ground-based remote sensing to identify new particle formation events: A case study in the Beijing area Y. Zhang et al. 10.1016/j.scitotenv.2024.176693
- The standard operating procedure for Airmodus Particle Size Magnifier and nano-Condensation Nucleus Counter K. Lehtipalo et al. 10.1016/j.jaerosci.2021.105896
- Data imputation in in situ-measured particle size distributions by means of neural networks P. Fung et al. 10.5194/amt-14-5535-2021
- Chemistry and human exposure implications of secondary organic aerosol production from indoor terpene ozonolysis C. Rosales et al. 10.1126/sciadv.abj9156
- Overview of methods to characterize the mass, size, and morphology of soot T. Sipkens et al. 10.1016/j.jaerosci.2023.106211
- High Concentration of Atmospheric Sub‐3 nm Particles in Polluted Environment of Eastern China: New Particle Formation and Traffic Emission L. Chen et al. 10.1029/2023JD039669
- Variation of size-segregated particle number concentrations in wintertime Beijing Y. Zhou et al. 10.5194/acp-20-1201-2020
- Overview of measurements and current instrumentation for 1–10 nm aerosol particle number size distributions J. Kangasluoma et al. 10.1016/j.jaerosci.2020.105584
- Infrequent new particle formation in a coastal Mediterranean city during the summer A. Aktypis et al. 10.1016/j.atmosenv.2023.119732
- Influence of Ventilation on Formation and Growth of 1–20 nm Particles via Ozone–Human Chemistry S. Yang et al. 10.1021/acs.est.3c08466
- Factors that govern sub-3 nm particle measurements in an Airmodus® PSM and a TSI® DEG–SMPS Y. Liu et al. 10.1080/02786826.2022.2098686
- Towards understanding the characteristics of new particle formation in the Eastern Mediterranean R. Baalbaki et al. 10.5194/acp-21-9223-2021
- Size resolution of the Airmodus A10 particle size magnifier with purified clusters J. Fernandez de la Mora et al. 10.1016/j.jaerosci.2021.105916
- Review of sub-3 nm condensation particle counters, calibrations, and cluster generation methods J. Kangasluoma & M. Attoui 10.1080/02786826.2019.1654084
- Parameters governing the performance of electrical mobility spectrometers for measuring sub-3 nm particles R. Cai et al. 10.1016/j.jaerosci.2018.11.002
- Size-resolved chemical composition analysis of ions produced by a commercial soft X-ray aerosol neutralizer Y. Liu et al. 10.1016/j.jaerosci.2020.105586
- Assessment of particle size magnifier inversion methods to obtain the particle size distribution from atmospheric measurements T. Chan et al. 10.5194/amt-13-4885-2020
Latest update: 14 Dec 2024
Short summary
We tested the performance of four inversion methods to recover sub-3 nm aerosol size distributions using the particle size magnifier (PSM). The PSM is widely used in new particle formation study; however, the inversion methods used in previous studies may report false particle concentrations. Due to the results, we suggest using the expectation–maximization algorithm to address the PSM inversion problem. We also gave practical suggestions on PSM operation based on the inversion analysis.
We tested the performance of four inversion methods to recover sub-3 nm aerosol size...
