Articles | Volume 21, issue 19
https://doi.org/10.5194/acp-21-14471-2021
© Author(s) 2021. 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-21-14471-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Measurement report: Receptor modeling for source identification of urban fine and coarse particulate matter using hourly elemental composition
Magdalena Reizer
CORRESPONDING AUTHOR
Faculty of Building Services, Hydro and Environmental Engineering, Warsaw University of Technology, Warsaw, Poland
Giulia Calzolai
Department of Physics and Astronomy, University of Florence and National Institute of Nuclear Physics (INFN), Sesto Fiorentino (Florence), Italy
Katarzyna Maciejewska
Faculty of Building Services, Hydro and Environmental Engineering, Warsaw University of Technology, Warsaw, Poland
José A. G. Orza
SCOLAb, Department of Applied Physics, Miguel Hernández University of Elche, Elche, Spain
Luca Carraresi
Department of Physics and Astronomy, University of Florence and National Institute of Nuclear Physics (INFN), Sesto Fiorentino (Florence), Italy
Franco Lucarelli
Department of Physics and Astronomy, University of Florence and National Institute of Nuclear Physics (INFN), Sesto Fiorentino (Florence), Italy
Katarzyna Juda-Rezler
Faculty of Building Services, Hydro and Environmental Engineering, Warsaw University of Technology, Warsaw, Poland
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Cited
11 citations as recorded by crossref.
- Highly Time-Resolved Measurements of Elements in Pm2.5 in Changzhou, China: Temporal Variation, Source Identification and Health Risks L. Li 10.2139/ssrn.4135119
- Development and Characterization of a Time-Sequenced Cascade Impactor: Application to Transient PM2.5 Pollution Events in Urbanized and Industrialized Environments S. Ngagine et al. 10.3390/atmos13020244
- Highly time-resolved measurements of elements in PM2.5 in Changzhou, China: Temporal variation, source identification and health risks Y. Yi et al. 10.1016/j.scitotenv.2022.158450
- Chemical composition and source apportionment of ambient PM2.5 in a coastal urban area, Northern Poland P. Siudek 10.1016/j.chemosphere.2024.141850
- Machine learning exploring the chemical compositions characteristics and sources of PM2.5 from reduced on-road activity D. Liao et al. 10.1016/j.apr.2024.102265
- Comprehensive understanding on sources of high levels of fine particulate nitro-aromatic compounds at a coastal rural area in northern China Y. Jiang et al. 10.1016/j.jes.2022.09.033
- Source identification of the elemental fraction of particulate matter using size segregated, highly time-resolved data and an optimized source apportionment approach M. Manousakas et al. 10.1016/j.aeaoa.2022.100165
- Trace Metals Reveal Significant Contribution of Coal Combustion to Winter Haze Pollution in Northern China H. Shen et al. 10.1021/acsestair.4c00050
- Comparison of oxidative potential of PM1 and PM2.5 urban aerosol and bioaccessibility of associated elements in three simulated lung fluids H. Cigánková et al. 10.1016/j.scitotenv.2021.149502
- Source identification and apportionment of ambient particulate matter in Beijing using an advanced computer-controlled scanning electron microscopy (CCSEM) system P. Zhao et al. 10.1016/j.scitotenv.2022.160608
- Effects of key particulate matter components (PAHs, trace elements, and Ions) on the physiology of human airway epithelial cells (Calu-3) T. Kim et al. 10.15250/joie.2024.23.3.197
11 citations as recorded by crossref.
- Highly Time-Resolved Measurements of Elements in Pm2.5 in Changzhou, China: Temporal Variation, Source Identification and Health Risks L. Li 10.2139/ssrn.4135119
- Development and Characterization of a Time-Sequenced Cascade Impactor: Application to Transient PM2.5 Pollution Events in Urbanized and Industrialized Environments S. Ngagine et al. 10.3390/atmos13020244
- Highly time-resolved measurements of elements in PM2.5 in Changzhou, China: Temporal variation, source identification and health risks Y. Yi et al. 10.1016/j.scitotenv.2022.158450
- Chemical composition and source apportionment of ambient PM2.5 in a coastal urban area, Northern Poland P. Siudek 10.1016/j.chemosphere.2024.141850
- Machine learning exploring the chemical compositions characteristics and sources of PM2.5 from reduced on-road activity D. Liao et al. 10.1016/j.apr.2024.102265
- Comprehensive understanding on sources of high levels of fine particulate nitro-aromatic compounds at a coastal rural area in northern China Y. Jiang et al. 10.1016/j.jes.2022.09.033
- Source identification of the elemental fraction of particulate matter using size segregated, highly time-resolved data and an optimized source apportionment approach M. Manousakas et al. 10.1016/j.aeaoa.2022.100165
- Trace Metals Reveal Significant Contribution of Coal Combustion to Winter Haze Pollution in Northern China H. Shen et al. 10.1021/acsestair.4c00050
- Comparison of oxidative potential of PM1 and PM2.5 urban aerosol and bioaccessibility of associated elements in three simulated lung fluids H. Cigánková et al. 10.1016/j.scitotenv.2021.149502
- Source identification and apportionment of ambient particulate matter in Beijing using an advanced computer-controlled scanning electron microscopy (CCSEM) system P. Zhao et al. 10.1016/j.scitotenv.2022.160608
- Effects of key particulate matter components (PAHs, trace elements, and Ions) on the physiology of human airway epithelial cells (Calu-3) T. Kim et al. 10.15250/joie.2024.23.3.197
Latest update: 13 Dec 2024
Short summary
The elemental composition of atmospheric PM2.5 and PM2.5–10 was measured during wintertime, with 1 h resolution, using a streaker sampler for the first time at a Central European urban background site. A set of multivariate and wind- and trajectory-based receptor models identified the main sources of ambient aerosol. Fine PM fraction was mainly comprised of regionally transported aged secondary sulfate from residential solid fuel combustion, while the coarse mode showed traffic-related origins.
The elemental composition of atmospheric PM2.5 and PM2.5–10 was measured during wintertime, with...
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