Articles | Volume 24, issue 21
https://doi.org/10.5194/acp-24-12143-2024
© Author(s) 2024. 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-24-12143-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Oct 2024
Research article |
| 30 Oct 2024
| 30 Oct 2024
Source apportionment of particle number size distribution at the street canyon and urban background sites
Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
Minna Aurela
Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
Sanna Saarikoski
Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
Jarkko V. Niemi
Helsinki Region Environmental Services Authority (HSY), Helsinki, Finland
Harri Portin
Helsinki Region Environmental Services Authority (HSY), Helsinki, Finland
Hanna Manninen
Helsinki Region Environmental Services Authority (HSY), Helsinki, Finland
Ville Leinonen
Department of Technical Physics, Faculty of Science, Forestry and Technology, University of Eastern Finland, Kuopio, Finland
Pasi Aalto
Institute for Atmospheric and Earth System Research (INAR) Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
Phil K. Hopke
Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA
Tuukka Petäjä
Institute for Atmospheric and Earth System Research (INAR) Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
Topi Rönkkö
Aerosol Physics Laboratory, Tampere University, Tampere, Finland
Hilkka Timonen
Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
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Cited
10 citations as recorded by crossref.
- Effect of Long-Range Transported Aerosol on Urban Air Quality in Eastern Germany S. Atabakhsh et al. https://doi.org/10.1021/acsestair.5c00126
- Global high-resolution ultrafine particle number concentrations through data fusion with machine learning P. Georgiades et al. https://doi.org/10.1038/s41597-025-06055-9
- A novel system for aerosol classification and particle size identification using LIBS-SLIPA fusion with sliding window approach Z. Sun et al. https://doi.org/10.1016/j.optlastec.2025.114170
- Traffic-Emitted Amines Promote New Particle Formation at Roadsides J. Brean et al. https://doi.org/10.1021/acsestair.5c00119
- From real-time to long-term source apportionment of PM10 using high-time-resolution measurements of aerosol physical properties: methodology and example application at an urban background site (Aosta, Italy) H. Diémoz et al. https://doi.org/10.5194/amt-19-3625-2026
- Short-term zonal contrasts of Moscow’s submicron and nanoaerosols: integrating particle number concentration, morphology, and elemental composition across functional urban zones E. Kolesnikov et al. https://doi.org/10.1007/s11356-026-37643-w
- Source apportionment of PM10 based on offline chemical speciation data at 24 European sites X. Liu et al. https://doi.org/10.1038/s41612-025-01097-7
- Characteristics of aerosol optical depth and Ångström exponent indicated aerosol types over a tropical urban and coastal areas in Thailand S. Peengam et al. https://doi.org/10.1007/s11869-025-01853-x
- Towards Zero-Pollution Urban Environments: Long-Term Air Quality Trends in a Low-Pollution, Northern City V. Blankenstein et al. https://doi.org/10.1007/s44408-026-00115-4
- An insight into recent PM1 aerosol light scattering properties and particle number concentration variabilities at the suburban site ATOLL in Northern France L. Suchánková et al. https://doi.org/10.1016/j.scitotenv.2024.178190
10 citations as recorded by crossref.
- Effect of Long-Range Transported Aerosol on Urban Air Quality in Eastern Germany S. Atabakhsh et al. https://doi.org/10.1021/acsestair.5c00126
- Global high-resolution ultrafine particle number concentrations through data fusion with machine learning P. Georgiades et al. https://doi.org/10.1038/s41597-025-06055-9
- A novel system for aerosol classification and particle size identification using LIBS-SLIPA fusion with sliding window approach Z. Sun et al. https://doi.org/10.1016/j.optlastec.2025.114170
- Traffic-Emitted Amines Promote New Particle Formation at Roadsides J. Brean et al. https://doi.org/10.1021/acsestair.5c00119
- From real-time to long-term source apportionment of PM10 using high-time-resolution measurements of aerosol physical properties: methodology and example application at an urban background site (Aosta, Italy) H. Diémoz et al. https://doi.org/10.5194/amt-19-3625-2026
- Short-term zonal contrasts of Moscow’s submicron and nanoaerosols: integrating particle number concentration, morphology, and elemental composition across functional urban zones E. Kolesnikov et al. https://doi.org/10.1007/s11356-026-37643-w
- Source apportionment of PM10 based on offline chemical speciation data at 24 European sites X. Liu et al. https://doi.org/10.1038/s41612-025-01097-7
- Characteristics of aerosol optical depth and Ångström exponent indicated aerosol types over a tropical urban and coastal areas in Thailand S. Peengam et al. https://doi.org/10.1007/s11869-025-01853-x
- Towards Zero-Pollution Urban Environments: Long-Term Air Quality Trends in a Low-Pollution, Northern City V. Blankenstein et al. https://doi.org/10.1007/s44408-026-00115-4
- An insight into recent PM1 aerosol light scattering properties and particle number concentration variabilities at the suburban site ATOLL in Northern France L. Suchánková et al. https://doi.org/10.1016/j.scitotenv.2024.178190
Saved (final revised paper)
Latest update: 19 Jul 2026
Short summary
In this study, particle number size distribution data were used in a novel way in positive matrix factorization analysis to find aerosol source profiles in the area. Measurements were made in Helsinki at a street canyon and urban background sites between February 2015 and June 2019. Five different aerosol sources were identified. These sources underline the significance of traffic-related emissions in urban environments despite recent improvements in emission reduction technologies.
In this study, particle number size distribution data were used in a novel way in positive...
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