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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Ashmi Mishra, Steven Lelieveld, Matteo Krüger, Steven J. Campbell, Deepchandra Srivastava, Grazia M. Lanzafame, Sophie Tomaz, Olivier Favez, Nicolas Bonnaire, Franco Lucarelli, Laurent Y. Alleman, Gaëlle Uzu, Jean-Luc Jaffrezo, Gang I. Chen, David C. Green, Max Priestman, Anja H. Tremper, Alexandre Barth, Markus Kalberer, Benjamin A. Musa Bandowe, Gerhard Lammel, Ulrich Pöschl, Pourya Shahpoury, Alexandre Albinet, and Thomas Berkemeier
EGUsphere, https://doi.org/10.5194/egusphere-2026-566, https://doi.org/10.5194/egusphere-2026-566, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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In this study, we develop and apply a kinetic model that estimates oxidative potential (OP) based on particulate matter (PM) composition. The model consolidates a large set of laboratory data from different OP assays in the presence of organic molecules, metals, and quinones. We applied the model to field data of PM composition and OP and found good agreement across three sites. The model analysis indicates that OP is mainly driven by organic molecules and copper.
Florin Unga, Giulia Calzolai, Massimo Chiari, Eleonora Cuccia, Cristina Colombi, Mariolina Franciosa, Adelaide Dinoi, Eva Merico, Antonio Pennetta, Noelia Gómez-Sánchez, Caterina Mapelli, Salvatore Pareti, Cinzia Perrino, Eduardo Yubero, and Daniele Contini
Aerosol Research, 3, 405–415, https://doi.org/10.5194/ar-3-405-2025, https://doi.org/10.5194/ar-3-405-2025, 2025
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This study evaluates the performance of energy-dispersive X-ray fluorescence (ED-XRF) on particulate matter (PM10) samples collected on quartz and Teflon filters through an inter-laboratory comparison. Detection limits were higher on quartz, but measurement repeatability was similar. Strong elemental correlations suggest that, with proper corrections, quartz filters can provide reliable results. These findings support their feasibility for ED-XRF analysis.
Silvia Nava, Roberta Vecchi, Paolo Prati, Vera Bernardoni, Laura Cadeo, Giulia Calzolai, Luca Carraresi, Carlo Cialdai, Massimo Chiari, Federica Crova, Alice Forello, Cosimo Fratticioli, Fabio Giardi, Marco Manetti, Dario Massabò, Federico Mazzei, Luca Repetto, Gianluigi Valli, Virginia Vernocchi, and Franco Lucarelli
Atmos. Meas. Tech., 18, 2137–2147, https://doi.org/10.5194/amt-18-2137-2025, https://doi.org/10.5194/amt-18-2137-2025, 2025
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The new high-time-resolution sampler STRAS has been designed, developed and tested. It enables automatic sequential sampling of up to 168 hourly samples of PM10, PM2.5 or PM1. It has been conceived for subsequent elemental composition analysis (from Na to Pb) by particle-induced X-ray emission (PIXE), but optical techniques may also be applied to measure black and brown carbon. Its use combined with other high-temporal-resolution instrumentation can provide complete chemical speciation of aerosols on an hourly basis.
Natalie M. Mahowald, Longlei Li, Julius Vira, Marje Prank, Douglas S. Hamilton, Hitoshi Matsui, Ron L. Miller, P. Louis Lu, Ezgi Akyuz, Daphne Meidan, Peter Hess, Heikki Lihavainen, Christine Wiedinmyer, Jenny Hand, Maria Grazia Alaimo, Célia Alves, Andres Alastuey, Paulo Artaxo, Africa Barreto, Francisco Barraza, Silvia Becagli, Giulia Calzolai, Shankararaman Chellam, Ying Chen, Patrick Chuang, David D. Cohen, Cristina Colombi, Evangelia Diapouli, Gaetano Dongarra, Konstantinos Eleftheriadis, Johann Engelbrecht, Corinne Galy-Lacaux, Cassandra Gaston, Dario Gomez, Yenny González Ramos, Roy M. Harrison, Chris Heyes, Barak Herut, Philip Hopke, Christoph Hüglin, Maria Kanakidou, Zsofia Kertesz, Zbigniew Klimont, Katriina Kyllönen, Fabrice Lambert, Xiaohong Liu, Remi Losno, Franco Lucarelli, Willy Maenhaut, Beatrice Marticorena, Randall V. Martin, Nikolaos Mihalopoulos, Yasser Morera-Gómez, Adina Paytan, Joseph Prospero, Sergio Rodríguez, Patricia Smichowski, Daniela Varrica, Brenna Walsh, Crystal L. Weagle, and Xi Zhao
Atmos. Chem. Phys., 25, 4665–4702, https://doi.org/10.5194/acp-25-4665-2025, https://doi.org/10.5194/acp-25-4665-2025, 2025
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Aerosol particles are an important part of the Earth system, but their concentrations are spatially and temporally heterogeneous, as well as being variable in size and composition. Here, we present a new compilation of PM2.5 and PM10 aerosol observations, focusing on the spatial variability across different observational stations, including composition, and demonstrate a method for comparing the data sets to model output.
Natalie M. Mahowald, Longlei Li, Julius Vira, Marje Prank, Douglas S. Hamilton, Hitoshi Matsui, Ron L. Miller, Louis Lu, Ezgi Akyuz, Daphne Meidan, Peter Hess, Heikki Lihavainen, Christine Wiedinmyer, Jenny Hand, Maria Grazia Alaimo, Célia Alves, Andres Alastuey, Paulo Artaxo, Africa Barreto, Francisco Barraza, Silvia Becagli, Giulia Calzolai, Shankarararman Chellam, Ying Chen, Patrick Chuang, David D. Cohen, Cristina Colombi, Evangelia Diapouli, Gaetano Dongarra, Konstantinos Eleftheriadis, Corinne Galy-Lacaux, Cassandra Gaston, Dario Gomez, Yenny González Ramos, Hannele Hakola, Roy M. Harrison, Chris Heyes, Barak Herut, Philip Hopke, Christoph Hüglin, Maria Kanakidou, Zsofia Kertesz, Zbiginiw Klimont, Katriina Kyllönen, Fabrice Lambert, Xiaohong Liu, Remi Losno, Franco Lucarelli, Willy Maenhaut, Beatrice Marticorena, Randall V. Martin, Nikolaos Mihalopoulos, Yasser Morera-Gomez, Adina Paytan, Joseph Prospero, Sergio Rodríguez, Patricia Smichowski, Daniela Varrica, Brenna Walsh, Crystal Weagle, and Xi Zhao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-1, https://doi.org/10.5194/essd-2024-1, 2024
Preprint withdrawn
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Aerosol particles can interact with incoming solar radiation and outgoing long wave radiation, change cloud properties, affect photochemistry, impact surface air quality, and when deposited impact surface albedo of snow and ice, and modulate carbon dioxide uptake by the land and ocean. Here we present a new compilation of aerosol observations including composition, a methodology for comparing the datasets to model output, and show the implications of these results using one model.
Fabio Giardi, Silvia Nava, Giulia Calzolai, Giulia Pazzi, Massimo Chiari, Andrea Faggi, Bianca Patrizia Andreini, Chiara Collaveri, Elena Franchi, Guido Nincheri, Alessandra Amore, Silvia Becagli, Mirko Severi, Rita Traversi, and Franco Lucarelli
Atmos. Chem. Phys., 22, 9987–10005, https://doi.org/10.5194/acp-22-9987-2022, https://doi.org/10.5194/acp-22-9987-2022, 2022
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The restriction measures adopted to contain the COVID-19 virus offered a unique opportunity to study urban particulate emissions in the near absence of traffic, which is one of the main emission sources in the urban environment. However, the drastic decrease in this source of particulate matter during the months of national lockdown did not lead to an equal decrease in the total particulate load. This is due to the inverse behavior shown by different sources, especially secondary sources.
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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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