Articles | Volume 22, issue 13
https://doi.org/10.5194/acp-22-8701-2022
© Author(s) 2022. 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-22-8701-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Nine-year trends of PM10 sources and oxidative potential in a rural background site in France
Lucille Joanna Borlaza
CORRESPONDING AUTHOR
University of Grenoble Alps, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
Samuël Weber
University of Grenoble Alps, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
Anouk Marsal
University of Grenoble Alps, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
Gaëlle Uzu
University of Grenoble Alps, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
Véronique Jacob
University of Grenoble Alps, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
Jean-Luc Besombes
Université Savoie Mont-Blanc, CNRS, EDYTEM (UMR5204), 73000
Chambéry, France
Mélodie Chatain
Atmo Grand Est, 67300 Schiltigheim, France
Sébastien Conil
ANDRA, DRD/GES Observatoire Pérenne de l'Environnement, 55290
Bure, France
Jean-Luc Jaffrezo
CORRESPONDING AUTHOR
University of Grenoble Alps, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
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La Paz and El Alto are two fast-growing, high-altitude Bolivian cities forming the second-largest metropolitan area in the country. The sources of particulate matter (PM) in this conurbation were not previously investigated. This study identified 11 main sources of PM, of which dust and vehicular emissions stand out as the main ones. The influence of regional biomass combustion and local waste combustion was also observed, with the latter being a major source of hazardous compounds.
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Atmos. Chem. Phys., 21, 5415–5437, https://doi.org/10.5194/acp-21-5415-2021, https://doi.org/10.5194/acp-21-5415-2021, 2021
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Aerosol Research Discuss., https://doi.org/10.5194/ar-2025-25, https://doi.org/10.5194/ar-2025-25, 2025
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EGUsphere, https://doi.org/10.5194/egusphere-2025-1968, https://doi.org/10.5194/egusphere-2025-1968, 2025
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Matthieu Vida, Gilles Foret, Guillaume Siour, Florian Couvidat, Olivier Favez, Gaelle Uzu, Arineh Cholakian, Sébastien Conil, Matthias Beekmann, and Jean-Luc Jaffrezo
Atmos. Chem. Phys., 24, 10601–10615, https://doi.org/10.5194/acp-24-10601-2024, https://doi.org/10.5194/acp-24-10601-2024, 2024
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Fabian Maier, Ingeborg Levin, Sébastien Conil, Maksym Gachkivskyi, Hugo Denier van der Gon, and Samuel Hammer
Atmos. Chem. Phys., 24, 8205–8223, https://doi.org/10.5194/acp-24-8205-2024, https://doi.org/10.5194/acp-24-8205-2024, 2024
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Vy Dinh Ngoc Thuy, Jean-Luc Jaffrezo, Ian Hough, Pamela A. Dominutti, Guillaume Salque Moreton, Grégory Gille, Florie Francony, Arabelle Patron-Anquez, Olivier Favez, and Gaëlle Uzu
Atmos. Chem. Phys., 24, 7261–7282, https://doi.org/10.5194/acp-24-7261-2024, https://doi.org/10.5194/acp-24-7261-2024, 2024
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Atmos. Chem. Phys., 24, 4129–4155, https://doi.org/10.5194/acp-24-4129-2024, https://doi.org/10.5194/acp-24-4129-2024, 2024
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Julie Camman, Benjamin Chazeau, Nicolas Marchand, Amandine Durand, Grégory Gille, Ludovic Lanzi, Jean-Luc Jaffrezo, Henri Wortham, and Gaëlle Uzu
Atmos. Chem. Phys., 24, 3257–3278, https://doi.org/10.5194/acp-24-3257-2024, https://doi.org/10.5194/acp-24-3257-2024, 2024
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C. Isabel Moreno, Radovan Krejci, Jean-Luc Jaffrezo, Gaëlle Uzu, Andrés Alastuey, Marcos F. Andrade, Valeria Mardóñez, Alkuin Maximilian Koenig, Diego Aliaga, Claudia Mohr, Laura Ticona, Fernando Velarde, Luis Blacutt, Ricardo Forno, David N. Whiteman, Alfred Wiedensohler, Patrick Ginot, and Paolo Laj
Atmos. Chem. Phys., 24, 2837–2860, https://doi.org/10.5194/acp-24-2837-2024, https://doi.org/10.5194/acp-24-2837-2024, 2024
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Máté Vörösmarty, Gaëlle Uzu, Jean-Luc Jaffrezo, Pamela Dominutti, Zsófia Kertész, Enikő Papp, and Imre Salma
Atmos. Chem. Phys., 23, 14255–14269, https://doi.org/10.5194/acp-23-14255-2023, https://doi.org/10.5194/acp-23-14255-2023, 2023
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Poor air quality caused by high concentrations of particulate matter is one of the most severe public health concerns for humans worldwide. One of the most important biological mechanisms inducing adverse health effects is the oxidant–antioxidant imbalance. We showed that the oxidative stress changed substantially and in a complex manner with location and season. Biomass burning exhibited the dominant influence, while motor vehicles played an important role in the non-heating period.
Valeria Mardoñez, Marco Pandolfi, Lucille Joanna S. Borlaza, Jean-Luc Jaffrezo, Andrés Alastuey, Jean-Luc Besombes, Isabel Moreno R., Noemi Perez, Griša Močnik, Patrick Ginot, Radovan Krejci, Vladislav Chrastny, Alfred Wiedensohler, Paolo Laj, Marcos Andrade, and Gaëlle Uzu
Atmos. Chem. Phys., 23, 10325–10347, https://doi.org/10.5194/acp-23-10325-2023, https://doi.org/10.5194/acp-23-10325-2023, 2023
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La Paz and El Alto are two fast-growing, high-altitude Bolivian cities forming the second-largest metropolitan area in the country. The sources of particulate matter (PM) in this conurbation were not previously investigated. This study identified 11 main sources of PM, of which dust and vehicular emissions stand out as the main ones. The influence of regional biomass combustion and local waste combustion was also observed, with the latter being a major source of hazardous compounds.
Wiebke Scholz, Jiali Shen, Diego Aliaga, Cheng Wu, Samara Carbone, Isabel Moreno, Qiaozhi Zha, Wei Huang, Liine Heikkinen, Jean Luc Jaffrezo, Gaelle Uzu, Eva Partoll, Markus Leiminger, Fernando Velarde, Paolo Laj, Patrick Ginot, Paolo Artaxo, Alfred Wiedensohler, Markku Kulmala, Claudia Mohr, Marcos Andrade, Victoria Sinclair, Federico Bianchi, and Armin Hansel
Atmos. Chem. Phys., 23, 895–920, https://doi.org/10.5194/acp-23-895-2023, https://doi.org/10.5194/acp-23-895-2023, 2023
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Dimethyl sulfide (DMS), emitted from the ocean, is the most abundant biogenic sulfur emission into the atmosphere. OH radicals, among others, can oxidize DMS to sulfuric and methanesulfonic acid, which are relevant for aerosol formation. We quantified DMS and nearly all DMS oxidation products with novel mass spectrometric instruments for gas and particle phase at the high mountain station Chacaltaya (5240 m a.s.l.) in the Bolivian Andes in free tropospheric air after long-range transport.
Peter Bergamaschi, Arjo Segers, Dominik Brunner, Jean-Matthieu Haussaire, Stephan Henne, Michel Ramonet, Tim Arnold, Tobias Biermann, Huilin Chen, Sebastien Conil, Marc Delmotte, Grant Forster, Arnoud Frumau, Dagmar Kubistin, Xin Lan, Markus Leuenberger, Matthias Lindauer, Morgan Lopez, Giovanni Manca, Jennifer Müller-Williams, Simon O'Doherty, Bert Scheeren, Martin Steinbacher, Pamela Trisolino, Gabriela Vítková, and Camille Yver Kwok
Atmos. Chem. Phys., 22, 13243–13268, https://doi.org/10.5194/acp-22-13243-2022, https://doi.org/10.5194/acp-22-13243-2022, 2022
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We present a novel high-resolution inverse modelling system, "FLEXVAR", and its application for the inverse modelling of European CH4 emissions in 2018. The new system combines a high spatial resolution of 7 km x 7 km with a variational data assimilation technique, which allows CH4 emissions to be optimized from individual model grid cells. The high resolution allows the observations to be better reproduced, while the derived emissions show overall good consistency with two existing models.
Zhuang Jiang, Joel Savarino, Becky Alexander, Joseph Erbland, Jean-Luc Jaffrezo, and Lei Geng
The Cryosphere, 16, 2709–2724, https://doi.org/10.5194/tc-16-2709-2022, https://doi.org/10.5194/tc-16-2709-2022, 2022
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A record of year-round atmospheric nitrate isotopic composition along with snow nitrate isotopic data from Summit, Greenland, revealed apparent enrichments in nitrogen isotopes in snow nitrate compared to atmospheric nitrate, in addition to a relatively smaller degree of changes in oxygen isotopes. The results suggest that at this site post-depositional processing takes effect, which should be taken into account when interpreting ice-core nitrate isotope records.
Stuart K. Grange, Gaëlle Uzu, Samuël Weber, Jean-Luc Jaffrezo, and Christoph Hueglin
Atmos. Chem. Phys., 22, 7029–7050, https://doi.org/10.5194/acp-22-7029-2022, https://doi.org/10.5194/acp-22-7029-2022, 2022
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Oxidative potential (OP), a biologically relevant metric for particulate matter (PM), was linked to PM10 and PM2.5 sources and constituents across Switzerland between 2018 and 2019. Wood burning and non-exhaust traffic emissions were identified as key processes that led to enhanced OP. Therefore, the make-up of the PM mix was very important for OP. The results highlight the importance of the management of wood burning and non-exhaust emissions to reduce OP, and presumably biological harm.
Adam Brighty, Véronique Jacob, Gaëlle Uzu, Lucille Borlaza, Sébastien Conil, Christoph Hueglin, Stuart K. Grange, Olivier Favez, Cécile Trébuchon, and Jean-Luc Jaffrezo
Atmos. Chem. Phys., 22, 6021–6043, https://doi.org/10.5194/acp-22-6021-2022, https://doi.org/10.5194/acp-22-6021-2022, 2022
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With an revised analytical method and long-term sampling strategy, we have been able to elucidate much more information about atmospheric plant debris, a poorly understood class of particulate matter. We found weaker seasonal patterns at urban locations compared to rural locations and significant interannual variability in concentrations between previous years and 2020, during the COVID-19 pandemic. This suggests a possible man-made influence on plant debris concentration and source strength.
Pamela A. Dominutti, Pascal Renard, Mickaël Vaïtilingom, Angelica Bianco, Jean-Luc Baray, Agnès Borbon, Thierry Bourianne, Frédéric Burnet, Aurélie Colomb, Anne-Marie Delort, Valentin Duflot, Stephan Houdier, Jean-Luc Jaffrezo, Muriel Joly, Martin Leremboure, Jean-Marc Metzger, Jean-Marc Pichon, Mickaël Ribeiro, Manon Rocco, Pierre Tulet, Anthony Vella, Maud Leriche, and Laurent Deguillaume
Atmos. Chem. Phys., 22, 505–533, https://doi.org/10.5194/acp-22-505-2022, https://doi.org/10.5194/acp-22-505-2022, 2022
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We present here the results obtained during an intensive field campaign conducted in March to April 2019 in Reunion. Our study integrates a comprehensive chemical and microphysical characterization of cloud water. Our investigations reveal that air mass history and cloud microphysical properties do not fully explain the variability observed in their chemical composition. This highlights the complexity of emission sources, multiphasic exchanges, and transformations in clouds.
Clémence Rose, Martine Collaud Coen, Elisabeth Andrews, Yong Lin, Isaline Bossert, Cathrine Lund Myhre, Thomas Tuch, Alfred Wiedensohler, Markus Fiebig, Pasi Aalto, Andrés Alastuey, Elisabeth Alonso-Blanco, Marcos Andrade, Begoña Artíñano, Todor Arsov, Urs Baltensperger, Susanne Bastian, Olaf Bath, Johan Paul Beukes, Benjamin T. Brem, Nicolas Bukowiecki, Juan Andrés Casquero-Vera, Sébastien Conil, Konstantinos Eleftheriadis, Olivier Favez, Harald Flentje, Maria I. Gini, Francisco Javier Gómez-Moreno, Martin Gysel-Beer, Anna Gannet Hallar, Ivo Kalapov, Nikos Kalivitis, Anne Kasper-Giebl, Melita Keywood, Jeong Eun Kim, Sang-Woo Kim, Adam Kristensson, Markku Kulmala, Heikki Lihavainen, Neng-Huei Lin, Hassan Lyamani, Angela Marinoni, Sebastiao Martins Dos Santos, Olga L. Mayol-Bracero, Frank Meinhardt, Maik Merkel, Jean-Marc Metzger, Nikolaos Mihalopoulos, Jakub Ondracek, Marco Pandolfi, Noemi Pérez, Tuukka Petäjä, Jean-Eudes Petit, David Picard, Jean-Marc Pichon, Veronique Pont, Jean-Philippe Putaud, Fabienne Reisen, Karine Sellegri, Sangeeta Sharma, Gerhard Schauer, Patrick Sheridan, James Patrick Sherman, Andreas Schwerin, Ralf Sohmer, Mar Sorribas, Junying Sun, Pierre Tulet, Ville Vakkari, Pieter Gideon van Zyl, Fernando Velarde, Paolo Villani, Stergios Vratolis, Zdenek Wagner, Sheng-Hsiang Wang, Kay Weinhold, Rolf Weller, Margarita Yela, Vladimir Zdimal, and Paolo Laj
Atmos. Chem. Phys., 21, 17185–17223, https://doi.org/10.5194/acp-21-17185-2021, https://doi.org/10.5194/acp-21-17185-2021, 2021
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Aerosol particles are a complex component of the atmospheric system the effects of which are among the most uncertain in climate change projections. Using data collected at 62 stations, this study provides the most up-to-date picture of the spatial distribution of particle number concentration and size distribution worldwide, with the aim of contributing to better representation of aerosols and their interactions with clouds in models and, therefore, better evaluation of their impact on climate.
Alex Resovsky, Michel Ramonet, Leonard Rivier, Jerome Tarniewicz, Philippe Ciais, Martin Steinbacher, Ivan Mammarella, Meelis Mölder, Michal Heliasz, Dagmar Kubistin, Matthias Lindauer, Jennifer Müller-Williams, Sebastien Conil, and Richard Engelen
Atmos. Meas. Tech., 14, 6119–6135, https://doi.org/10.5194/amt-14-6119-2021, https://doi.org/10.5194/amt-14-6119-2021, 2021
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We present a technical description of a statistical methodology for extracting synoptic- and seasonal-length anomalies from greenhouse gas time series. The definition of what represents an anomalous signal is somewhat subjective, which we touch on throughout the paper. We show, however, that the method performs reasonably well in extracting portions of time series influenced by significant North Atlantic Oscillation weather episodes and continent-wide terrestrial biospheric aberrations.
Samuël Weber, Gaëlle Uzu, Olivier Favez, Lucille Joanna S. Borlaza, Aude Calas, Dalia Salameh, Florie Chevrier, Julie Allard, Jean-Luc Besombes, Alexandre Albinet, Sabrina Pontet, Boualem Mesbah, Grégory Gille, Shouwen Zhang, Cyril Pallares, Eva Leoz-Garziandia, and Jean-Luc Jaffrezo
Atmos. Chem. Phys., 21, 11353–11378, https://doi.org/10.5194/acp-21-11353-2021, https://doi.org/10.5194/acp-21-11353-2021, 2021
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Oxidative potential (OP) of aerosols is apportioned to the main PM sources found in 15 sites over France. The sources present clear distinct intrinsic OPs at a large geographic scale, and a drastic redistribution between the mass concentration and OP measured by both ascorbic acid and dithiothreitol is highlighted. Moreover, the high discrepancy between the mean and median contributions of the sources to the given metrics raises some important questions when dealing with health endpoints.
Lucille Joanna S. Borlaza, Samuël Weber, Jean-Luc Jaffrezo, Stephan Houdier, Rémy Slama, Camille Rieux, Alexandre Albinet, Steve Micallef, Cécile Trébluchon, and Gaëlle Uzu
Atmos. Chem. Phys., 21, 9719–9739, https://doi.org/10.5194/acp-21-9719-2021, https://doi.org/10.5194/acp-21-9719-2021, 2021
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With an enhanced source apportionment obtained in a companion paper, this paper acquires more understanding of the spatiotemporal associations of the sources of PM to oxidative potential (OP), an emerging health-based metric. Multilayer perceptron neural network analysis was used to apportion OP from PM sources. Results showed that such a methodology is as robust as the linear classical inversion and permits an improvement in the OP prediction when local features or non-linear effects occur.
Vincent Michoud, Elise Hallemans, Laura Chiappini, Eva Leoz-Garziandia, Aurélie Colomb, Sébastien Dusanter, Isabelle Fronval, François Gheusi, Jean-Luc Jaffrezo, Thierry Léonardis, Nadine Locoge, Nicolas Marchand, Stéphane Sauvage, Jean Sciare, and Jean-François Doussin
Atmos. Chem. Phys., 21, 8067–8088, https://doi.org/10.5194/acp-21-8067-2021, https://doi.org/10.5194/acp-21-8067-2021, 2021
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A multiphasic molecular characterization of oxygenated compounds has been carried out during the ChArMEx field campaign using offline analysis. It leads to the identification of 97 different compounds in the gas and aerosol phases and reveals the important contribution of organic acids to organic aerosol. In addition, comparison between experimental and theoretical partitioning coefficients revealed in most cases a large underestimation by the theory reaching 1 to 7 orders of magnitude.
Lucille Joanna S. Borlaza, Samuël Weber, Gaëlle Uzu, Véronique Jacob, Trishalee Cañete, Steve Micallef, Cécile Trébuchon, Rémy Slama, Olivier Favez, and Jean-Luc Jaffrezo
Atmos. Chem. Phys., 21, 5415–5437, https://doi.org/10.5194/acp-21-5415-2021, https://doi.org/10.5194/acp-21-5415-2021, 2021
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This study focuses on fully discriminating the origins of particulates by tackling specific secondary organic aerosol (SOA) sources that are difficult to resolve using traditional datasets, especially at a city scale. This is done through the use of additional fit-for-purpose tracers in the Positive Matrix Factorization (PMF) model, which can be obtained using simpler and more targeted techniques, and the comparison of the PMF models from sites in close range but with different urban typologies.
Camille Yver-Kwok, Carole Philippon, Peter Bergamaschi, Tobias Biermann, Francescopiero Calzolari, Huilin Chen, Sebastien Conil, Paolo Cristofanelli, Marc Delmotte, Juha Hatakka, Michal Heliasz, Ove Hermansen, Kateřina Komínková, Dagmar Kubistin, Nicolas Kumps, Olivier Laurent, Tuomas Laurila, Irene Lehner, Janne Levula, Matthias Lindauer, Morgan Lopez, Ivan Mammarella, Giovanni Manca, Per Marklund, Jean-Marc Metzger, Meelis Mölder, Stephen M. Platt, Michel Ramonet, Leonard Rivier, Bert Scheeren, Mahesh Kumar Sha, Paul Smith, Martin Steinbacher, Gabriela Vítková, and Simon Wyss
Atmos. Meas. Tech., 14, 89–116, https://doi.org/10.5194/amt-14-89-2021, https://doi.org/10.5194/amt-14-89-2021, 2021
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The Integrated Carbon Observation System (ICOS) is a pan-European research infrastructure which provides harmonized and high-precision scientific data on the carbon cycle and the greenhouse gas (GHG) budget. All stations have to undergo a rigorous assessment before being labeled, i.e., receiving approval to join the network. In this paper, we present the labeling process for the ICOS atmospheric network through the 23 stations that were labeled between November 2017 and November 2019.
Ingeborg Levin, Ute Karstens, Markus Eritt, Fabian Maier, Sabrina Arnold, Daniel Rzesanke, Samuel Hammer, Michel Ramonet, Gabriela Vítková, Sebastien Conil, Michal Heliasz, Dagmar Kubistin, and Matthias Lindauer
Atmos. Chem. Phys., 20, 11161–11180, https://doi.org/10.5194/acp-20-11161-2020, https://doi.org/10.5194/acp-20-11161-2020, 2020
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Based on observations and Stochastic Time-Inverted Lagrangian Transport (STILT) footprint modelling, a sampling strategy has been developed for tall tower stations of the Integrated Carbon Observation System (ICOS) research infrastructure atmospheric station network. This strategy allows independent quality control of in situ measurements, provides representative coverage of the influence area of the sites, and is capable of automated targeted sampling of fossil fuel CO2 emission hotspots.
Cited articles
Aas, W., Tsyro, S., Bieber, E., Bergström, R., Ceburnis, D., Ellermann, T., Fagerli, H., Frölich, M., Gehrig, R., Makkonen, U., Nemitz, E., Otjes, R., Perez, N., Perrino, C., Prévôt, A. S. H., Putaud, J.-P., Simpson, D., Spindler, G., Vana, M., and Yttri, K. E.: Lessons learnt from the first EMEP intensive measurement periods, Atmos. Chem. Phys., 12, 8073–8094, https://doi.org/10.5194/acp-12-8073-2012, 2012.
Alastuey, A., Querol, X., Aas, W., Lucarelli, F., Pérez, N., Moreno, T., Cavalli, F., Areskoug, H., Balan, V., Catrambone, M., Ceburnis, D., Cerro, J. C., Conil, S., Gevorgyan, L., Hueglin, C., Imre, K., Jaffrezo, J.-L., Leeson, S. R., Mihalopoulos, N., Mitosinkova, M., O'Dowd, C. D., Pey, J., Putaud, J.-P., Riffault, V., Ripoll, A., Sciare, J., Sellegri, K., Spindler, G., and Yttri, K. E.: Geochemistry of PM10 over Europe during the EMEP intensive measurement periods in summer 2012 and winter 2013, Atmos. Chem. Phys., 16, 6107–6129, https://doi.org/10.5194/acp-16-6107-2016, 2016.
Alleman, L. Y., Lamaison, L., Perdrix, E., Robache, A., and Galloo, J.-C.:
PM10 metal concentrations and source identification using positive matrix factorization and wind sectoring in a French industrial zone, Atmos. Res., 96, 612–625, https://doi.org/10.1016/j.atmosres.2010.02.008, 2010.
Amato, F., Alastuey, A., de la Rosa, J., Gonzalez Castanedo, Y., Sánchez de la Campa, A. M., Pandolfi, M., Lozano, A., Contreras González, J., and Querol, X.: Trends of road dust emissions contributions on ambient air particulate levels at rural, urban and industrial sites in southern Spain, Atmos. Chem. Phys., 14, 3533–3544, https://doi.org/10.5194/acp-14-3533-2014, 2014.
Anenberg, S. C., Horowitz, L. W., Tong, D. Q., and West, J. J.: An Estimate
of the Global Burden of Anthropogenic Ozone and Fine Particulate Matter on
Premature Human Mortality Using Atmospheric Modeling,
Environ. Health Persp., 118, 1189–1195, https://doi.org/10.1289/ehp.0901220, 2010.
Barmpadimos, I., Keller, J., Oderbolz, D., Hueglin, C., and Prévôt, A. S. H.: One decade of parallel fine (PM2.5) and coarse (PM10–PM2.5) particulate matter measurements in Europe: trends and variability, Atmos. Chem. Phys., 12, 3189–3203, https://doi.org/10.5194/acp-12-3189-2012, 2012.
Barrie, L. A. and Hoff, R. M.: Five years of air chemistry observations in
the Canadian Arctic, Atmos. Environ., 19, 1995–2010,
https://doi.org/10.1016/0004-6981(85)90108-8, 1985.
Bates, J. T., Fang, T., Verma, V., Zeng, L., Weber, R. J., Tolbert, P. E.,
Abrams, J. Y., Sarnat, S. E., Klein, M., Mulholland, J. A., and Russell, A.
G.: Review of Acellular Assays of Ambient Particulate Matter Oxidative
Potential: Methods and Relationships with Composition, Sources, and Health
Effects, Environ. Sci. Technol., 53, 4003–4019,
https://doi.org/10.1021/acs.est.8b03430, 2019.
Belis, C. A.: European guide on air pollution source apportionment with
receptor models: revised version 2019, Publications Office, LU, ISBN 9276090010, 2019.
Belis, C. A., Pernigotti, D., Karagulian, F., Pirovano, G., Larsen, B. R.,
Gerboles, M., and Hopke, P. K.: A new methodology to assess the performance
and uncertainty of source apportionment models in intercomparison exercises,
Atmos. Environ., 119, 35–44, https://doi.org/10.1016/j.atmosenv.2015.08.002, 2015.
Bernard, Y., Miller, J., Wappelhorst, S., and Braun, C.: Impacts of the
Paris Low-Emission Zone and Implications for Other Cities, TRUE – The Real
Urban Emissions Initiative, United Kingdom, ISBN 01744072, 2020.
Bessagnet, B., Menut, L., Lapere, R., Couvidat, F., Jaffrezo, J.-L.,
Mailler, S., Favez, O., Pennel, R., and Siour, G.: High Resolution Chemistry
Transport Modeling with the On-Line CHIMERE-WRF Model over the French
Alps – Analysis of a Feedback of Surface Particulate Matter Concentrations
on Mountain Meteorology, Atmosphere, 11, 565,
https://doi.org/10.3390/atmos11060565, 2020.
Birch, M. E. and Cary, R. A.: Elemental Carbon-Based Method for Monitoring
Occupational Exposures to Particulate Diesel Exhaust,
Aerosol Sci. Tech., 25, 221–241, https://doi.org/10.1080/02786829608965393, 1996.
Borlaza, L. J. S., Weber, S., Uzu, G., Jacob, V., Cañete, T., Micallef, S., Trébuchon, C., Slama, R., Favez, O., and Jaffrezo, J.-L.: Disparities in particulate matter (PM10) origins and oxidative potential at a city scale (Grenoble, France) – Part 1: Source apportionment at three neighbouring sites, Atmos. Chem. Phys., 21, 5415–5437, https://doi.org/10.5194/acp-21-5415-2021, 2021a.
Borlaza, L. J. S., Weber, S., Jaffrezo, J.-L., Houdier, S., Slama, R., Rieux, C., Albinet, A., Micallef, S., Trébluchon, C., and Uzu, G.: Disparities in particulate matter (PM10) origins and oxidative potential at a city scale (Grenoble, France) – Part 2: Sources of PM10 oxidative potential using multiple linear regression analysis and the predictive applicability of multilayer perceptron neural network analysis, Atmos. Chem. Phys., 21, 9719–9739, https://doi.org/10.5194/acp-21-9719-2021, 2021b.
Bozzetti, C., El Haddad, I., Salameh, D., Daellenbach, K. R., Fermo, P., Gonzalez, R., Minguillón, M. C., Iinuma, Y., Poulain, L., Elser, M., Müller, E., Slowik, J. G., Jaffrezo, J.-L., Baltensperger, U., Marchand, N., and Prévôt, A. S. H.: Organic aerosol source apportionment by offline-AMS over a full year in Marseille, Atmos. Chem. Phys., 17, 8247–8268, https://doi.org/10.5194/acp-17-8247-2017, 2017.
Brattich, E., Orza, J. A. G., Cristofanelli, P., Bonasoni, P., Marinoni, A.,
and Tositti, L.: Advection pathways at the Mt. Cimone WMO-GAW station:
Seasonality, trends, and influence on atmospheric composition, Atmos. Environ., 234, 117513, https://doi.org/10.1016/j.atmosenv.2020.117513, 2020.
Brighty, A., Jacob, V., Uzu, G., Borlaza, L., Conil, S., Hueglin, C., Grange, S. K., Favez, O., Trébuchon, C., and Jaffrezo, J.-L.: Cellulose in atmospheric particulate matter at rural and urban sites across France and Switzerland, Atmos. Chem. Phys., 22, 6021–6043, https://doi.org/10.5194/acp-22-6021-2022, 2022.
Calas, A., Uzu, G., Martins, J. M. F., Voisin, D., Spadini, L., Lacroix, T.,
and Jaffrezo, J.-L.: The importance of simulated lung fluid (SLF)
extractions for a more relevant evaluation of the oxidative potential of
particulate matter, Sci. Rep., 7, 11617, https://doi.org/10.1038/s41598-017-11979-3,
2017.
Calas, A., Uzu, G., Kelly, F. J., Houdier, S., Martins, J. M. F., Thomas, F., Molton, F., Charron, A., Dunster, C., Oliete, A., Jacob, V., Besombes, J.-L., Chevrier, F., and Jaffrezo, J.-L.: Comparison between five acellular oxidative potential measurement assays performed with detailed chemistry on PM10 samples from the city of Chamonix (France), Atmos. Chem. Phys., 18, 7863–7875, https://doi.org/10.5194/acp-18-7863-2018, 2018.
Calas, A., Uzu, G., Besombes, J.-L., Martins, J. M. F., Redaelli, M., Weber,
S., Charron, A., Albinet, A., Chevrier, F., Brulfert, G., Mesbah, B., Favez,
O., and Jaffrezo, J.-L.: Seasonal Variations and Chemical Predictors of
Oxidative Potential (OP) of Particulate Matter (PM), for Seven Urban French
Sites, Atmosphere, 10, 698, https://doi.org/10.3390/atmos10110698, 2019.
Canonaco, F., Tobler, A., Chen, G., Sosedova, Y., Slowik, J. G., Bozzetti, C., Daellenbach, K. R., El Haddad, I., Crippa, M., Huang, R.-J., Furger, M., Baltensperger, U., and Prévôt, A. S. H.: A new method for long-term source apportionment with time-dependent factor profiles and uncertainty assessment using SoFi Pro: application to 1 year of organic aerosol data, Atmos. Meas. Tech., 14, 923–943, https://doi.org/10.5194/amt-14-923-2021, 2021.
Cassee, F. R., Héroux, M.-E., Gerlofs-Nijland, M. E., and Kelly, F. J.:
Particulate matter beyond mass: recent health evidence on the role of
fractions, chemical constituents and sources of emission, Inhal. Toxicol., 25, 802–812, https://doi.org/10.3109/08958378.2013.850127, 2013.
Cesari, D., Merico, E., Grasso, F. M., Decesari, S., Belosi, F., Manarini,
F., De Nuntiis, P., Rinaldi, M., Volpi, F., Gambaro, A., Morabito, E., and
Contini, D.: Source Apportionment of PM2.5 and of its Oxidative Potential in an Industrial Suburban Site in South Italy, Atmosphere, 10, 758,
https://doi.org/10.3390/atmos10120758, 2019.
Charrier, J. G. and Anastasio, C.: On dithiothreitol (DTT) as a measure of oxidative potential for ambient particles: evidence for the importance of soluble transition metals, Atmos. Chem. Phys., 12, 9321–9333, https://doi.org/10.5194/acp-12-9321-2012, 2012.
Charrier, J. G., McFall, A. S., Richards-Henderson, N. K., and Anastasio, C.: Hydrogen Peroxide Formation in a Surrogate Lung Fluid by Transition Metals and Quinones Present in Particulate Matter, Environ. Sci. Technol., 48, 7010–7017, https://doi.org/10.1021/es501011w, 2014.
Charron, A., Polo-Rehn, L., Besombes, J.-L., Golly, B., Buisson, C., Chanut, H., Marchand, N., Guillaud, G., and Jaffrezo, J.-L.: Identification and quantification of particulate tracers of exhaust and non-exhaust vehicle emissions, Atmos. Chem. Phys., 19, 5187–5207, https://doi.org/10.5194/acp-19-5187-2019, 2019.
Chen, Q., Sherwen, T., Evans, M., and Alexander, B.: DMS oxidation and sulfur aerosol formation in the marine troposphere: a focus on reactive halogen and multiphase chemistry, Atmos. Chem. Phys., 18, 13617–13637, https://doi.org/10.5194/acp-18-13617-2018, 2018.
Chen, Z., Chen, D., Zhao, C., Kwan, M., Cai, J., Zhuang, Y., Zhao, B., Wang,
X., Chen, B., Yang, J., Li, R., He, B., Gao, B., Wang, K., and Xu, B.:
Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism, Environ. Int., 139,
105558, https://doi.org/10.1016/j.envint.2020.105558, 2020.
Cho, A. K., Sioutas, C., Miguel, A. H., Kumagai, Y., Schmitz, D. A., Singh,
M., Eiguren-Fernandez, A., and Froines, J. R.: Redox activity of airborne
particulate matter at different sites in the Los Angeles Basin,
Environ. Res., 99, 40–47,
https://doi.org/10.1016/j.envres.2005.01.003, 2005.
Cleveland, R., Cleveland, W., McRae, J., and Terpenning, I.: STL: A
seasonal-trend decomposition procedure based on LOESS, J. Off. Stat., 6, 3–73, 1990.
Conil, S., Helle, J., Langrene, L., Laurent, O., Delmotte, M., and Ramonet, M.: Continuous atmospheric CO2, CH4 and CO measurements at the Observatoire Pérenne de l'Environnement (OPE) station in France from 2011 to 2018, Atmos. Meas. Tech., 12, 6361–6383, https://doi.org/10.5194/amt-12-6361-2019, 2019.
Conte, E., Canepari, S., Frasca, D., and Simonetti, G.: Oxidative Potential
of Selected PM Components, Proceedings, 1, 108, https://doi.org/10.3390/ecas2017-04131, 2017.
Crobeddu, B., Aragao-Santiago, L., Bui, L.-C., Boland, S., and Baeza
Squiban, A.: Oxidative potential of particulate matter 2.5 as predictive
indicator of cellular stress, Environm. Pollut., 230, 125–133,
https://doi.org/10.1016/j.envpol.2017.06.051, 2017.
Cusack, M., Alastuey, A., Pérez, N., Pey, J., and Querol, X.: Trends of particulate matter (PM2.5) and chemical composition at a regional background site in the Western Mediterranean over the last nine years (2002–2010), Atmos. Chem. Phys., 12, 8341–8357, https://doi.org/10.5194/acp-12-8341-2012, 2012.
Czernecki, B., Półrolniczak, M., Kolendowicz, L., Marosz, M.,
Kendzierski, S., and Pilguj, N.: Influence of the atmospheric conditions on
PM10 concentrations in Poznań, Poland, J. Atmos. Chem., 74, 115–139, https://doi.org/10.1007/s10874-016-9345-5, 2017.
Daellenbach, K. R., Uzu, G., Jiang, J., Cassagnes, L.-E., Leni, Z., Vlachou,
A., Stefenelli, G., Canonaco, F., Weber, S., Segers, A., Kuenen, J. J. P.,
Schaap, M., Favez, O., Albinet, A., Aksoyoglu, S., Dommen, J.,
Baltensperger, U., Geiser, M., El Haddad, I., Jaffrezo, J.-L., and
Prévôt, A. S. H.: Sources of particulate-matter air pollution and
its oxidative potential in Europe, Nature, 587, 414–419,
https://doi.org/10.1038/s41586-020-2902-8, 2020.
Dou, J., Lin, P., Kuang, B.-Y., and Yu, J. Z.: Reactive Oxygen Species
Production Mediated by Humic-like Substances in Atmospheric Aerosols:
Enhancement Effects by Pyridine, Imidazole, and Their Derivatives, Environ.
Sci. Technol., 49, 6457–6465, https://doi.org/10.1021/es5059378, 2015.
Fang, T., Guo, H., Zeng, L., Verma, V., Nenes, A., and Weber, R. J.: Highly
Acidic Ambient Particles, Soluble Metals, and Oxidative Potential: A Link
between Sulfate and Aerosol Toxicity, Environ. Sci. Technol., 51,
2611–2620, https://doi.org/10.1021/acs.est.6b06151, 2017.
Favez, O., El Haddad, I., Piot, C., Boréave, A., Abidi, E., Marchand, N., Jaffrezo, J.-L., Besombes, J.-L., Personnaz, M.-B., Sciare, J., Wortham, H., George, C., and D'Anna, B.: Inter-comparison of source apportionment models for the estimation of wood burning aerosols during wintertime in an Alpine city (Grenoble, France), Atmos. Chem. Phys., 10, 5295–5314, https://doi.org/10.5194/acp-10-5295-2010, 2010.
Favez, O., Weber, S., Petit, J.-E., Alleman, L. Y., Albinet, A., Riffault,
V., Chazeau, B., Amodeo, T., Salameh, D., Zhang, Y., Srivastava, D.,
Samaké, A., Aujay-Plouzeau, R., Papin, A., Bonnaire, N., Boullanger, C.,
Chatain, M., Chevrier, F., Detournay, A., Dominik-Sègue, M., Falhun, R.,
Garbin, C., Ghersi, V., Grignion, G., Levigoureux, G., Pontet, S.,
Rangognio, J., Zhang, S., Besombes, J.-L., Conil, S., Uzu, G., Savarino, J.,
Marchand, N., Gros, V., Marchand, C., Jaffrezo, J.-L., and Leoz-Garziandia,
E.: Overview of the French Operational Network for In Situ Observation of PM
Chemical Composition and Sources in Urban Environments (CARA Program),
Atmosphere, 12, 207, https://doi.org/10.3390/atmos12020207, 2021.
Gama, C., Monteiro, A., Pio, C., Miranda, A. I., Baldasano, J. M., and
Tchepel, O.: Temporal patterns and trends of particulate matter over
Portugal: a long-term analysis of background concentrations, Air Qual. Atmos.
Health, 11, 397–407, https://doi.org/10.1007/s11869-018-0546-8, 2018.
Gao, D., Ripley, S., Weichenthal, S., and Godri Pollitt, K. J.: Ambient
particulate matter oxidative potential: Chemical determinants, associated
health effects, and strategies for risk management, Free Radical Biol.
Med., 151, 7–25, https://doi.org/10.1016/j.freeradbiomed.2020.04.028, 2020a.
Gao, D., Mulholland, J. A., Russell, A. G., and Weber, R. J.:
Characterization of water-insoluble oxidative potential of PM2.5 using the dithiothreitol assay, Atmos. Environ., 224, 117327,
https://doi.org/10.1016/j.atmosenv.2020.117327, 2020b.
Gianini, M. F. D., Fischer, A., Gehrig, R., Ulrich, A., Wichser, A., Piot,
C., Besombes, J.-L., and Hueglin, C.: Comparative source apportionment of
PM10 in Switzerland for 2008/2009 and 1998/1999 by Positive Matrix
Factorisation, Atmos. Environ., 54, 149–158,
https://doi.org/10.1016/j.atmosenv.2012.02.036, 2012.
Golly, B., Waked, A., Weber, S., Samake, A., Jacob, V., Conil, S.,
Rangognio, J., Chrétien, E., Vagnot, M.-P., Robic, P.-Y., Besombes,
J.-L., and Jaffrezo, J.-L.: Organic markers and OC source apportionment for
seasonal variations of PM2.5 at 5 rural sites in France, Atmos. Environ., 198, 142–157, https://doi.org/10.1016/j.atmosenv.2018.10.027, 2019.
Grange, S. K., Fischer, A., Zellweger, C., Alastuey, A., Querol, X.,
Jaffrezo, J.-L., Weber, S., Uzu, G., and Hueglin, C.: Switzerland's PM10 and PM2.5 environmental increments show the importance of non-exhaust emissions, Atmos. Environ., 12, 100145,
https://doi.org/10.1016/j.aeaoa.2021.100145, 2021.
Guascito, M. R., Pietrogrande, M. C., Decesari, S., and Contini, D.:
Oxidative Potential of Atmospheric Aerosols, Atmosphere, 12, 531,
https://doi.org/10.3390/atmos12050531, 2021.
Hand, J. L., Schichtel, B. A., Pitchford, M., Malm, W. C., and Frank, N. H.:
Seasonal composition of remote and urban fine particulate matter in the
United States, 117, D05209, https://doi.org/10.1029/2011JD017122, 2012.
Handler, M., Puls, C., Zbiral, J., Marr, I., Puxbaum, H., and Limbeck, A.:
Size and composition of particulate emissions from motor vehicles in the
Kaisermühlen-Tunnel, Vienna, Atmos. Environ., 42, 2173–2186,
https://doi.org/10.1016/j.atmosenv.2007.11.054, 2008.
Henderson, P. and Henderson, G.: The Cambridge handbook of earth science
data, Choice Reviews Online, 47, 2354, https://doi.org/10.5860/CHOICE.47-2354, 2010.
Herich, H., Gianini, M. F. D., Piot, C., Močnik, G., Jaffrezo, J.-L.,
Besombes, J.-L., Prévôt, A. S. H., and Hueglin, C.: Overview of the
impact of wood burning emissions on carbonaceous aerosols and PM in large
parts of the Alpine region, Atmos. Environ., 89, 64–75,
https://doi.org/10.1016/j.atmosenv.2014.02.008, 2014.
Hou, P. and Wu, S.: Long-term Changes in Extreme Air Pollution Meteorology
and the Implications for Air Quality, Sci. Rep., 6, 23792,
https://doi.org/10.1038/srep23792, 2016.
Jaffrezo, J.-L., Davidson, C. I., Kuhns, H. D., Bergin, M. H., Hillamo, R.,
Maenhaut, W., Kahl, J. W., and Harris, J. M.: Biomass burning signatures in
the atmosphere of central Greenland, J. Geophys. Res., 103, 31067–31078,
https://doi.org/10.1029/98JD02241, 1998.
Jardine, K., Yañez-Serrano, A. M., Williams, J., Kunert, N., Jardine,
A., Taylor, T., Abrell, L., Artaxo, P., Guenther, A., Hewitt, C. N., House,
E., Florentino, A. P., Manzi, A., Higuchi, N., Kesselmeier, J., Behrendt,
T., Veres, P. R., Derstroff, B., Fuentes, J. D., Martin, S. T., and Andreae,
M. O.: Dimethyl sulfide in the Amazon rain forest: DMS in the Amazon, Global
Biogeochem. Cy., 29, 19–32, https://doi.org/10.1002/2014GB004969, 2015.
Jiang, H., Ahmed, C. M. S., Canchola, A., Chen, J. Y., and Lin, Y. H.: Use of Dithiothreitol Assay to Evaluate the Oxidative Potential of Atmospheric Aerosols, Atmosphere, 10, 571, https://doi.org/10.3390/atmos10100571, 2019.
Johnson, D., Utembe, S. R., Jenkin, M. E., Derwent, R. G., Hayman, G. D., Alfarra, M. R., Coe, H., and McFiggans, G.: Simulating regional scale secondary organic aerosol formation during the TORCH 2003 campaign in the southern UK, Atmos. Chem. Phys., 6, 403–418, https://doi.org/10.5194/acp-6-403-2006, 2006.
Kelly, F. J. and Mudway, I. S.: Protein oxidation at the air-lung interface,
Amino Acids, 25, 375–396, https://doi.org/10.1007/s00726-003-0024-x, 2003.
Kim, M. J.: Changes in the Relationship between Particulate Matter and
Surface Temperature in Seoul from 2002–2017, Atmosphere, 10, 238,
https://doi.org/10.3390/atmos10050238, 2019.
Konovalov, I. B., Beekmann, M., Meleux, F., Dutot, A., and Foret, G.:
Combining deterministic and statistical approaches for PM10 forecasting in Europe, Atmos. Environ., 43, 6425–6434,
https://doi.org/10.1016/j.atmosenv.2009.06.039, 2009.
Li, J., Chen, B., de la Campa, A. M. S., Alastuey, A., Querol, X., and de la
Rosa, J. D.: 2005–2014 trends of PM10 source contributions in an
industrialized area of southern Spain, Environm. Pollut., 236,
570–579, https://doi.org/10.1016/j.envpol.2018.01.101, 2018.
Li, S.-M., Barrie, L. A., Talbot, R. W., Harriss, R. C., Davidson, C. I.,
and Jaffrezo, J.-L.: Seasonal and geographic variations of methanesulfonic
acid in the arctic troposphere, Atmos. Environ. A-Gen., 27, 3011–3024, https://doi.org/10.1016/0960-1686(93)90333-T, 1993.
Miyazaki, Y., Fu, P. Q., Kawamura, K., Mizoguchi, Y., and Yamanoi, K.: Seasonal variations of stable carbon isotopic composition and biogenic tracer compounds of water-soluble organic aerosols in a deciduous forest, Atmos. Chem. Phys., 12, 1367–1376, https://doi.org/10.5194/acp-12-1367-2012, 2012.
Møller, P., Jacobsen, N. R., Folkmann, J. K., Danielsen, P. H., Mikkelsen, L., Hemmingsen, J. G., Vesterdal, L. K., Forchhammer, L., Wallin, H., and Loft, S.: Role of oxidative damage in toxicity of particulates, Free Radical Res., 44, 1–46, https://doi.org/10.3109/10715760903300691, 2010.
Moroni, B., Cappelletti, D., Ferrero, L., Crocchianti, S., Busetto, M.,
Mazzola, M., Becagli, S., Traversi, R., and Udisti, R.: Local vs. long-range
sources of aerosol particles upon Ny-Ålesund (Svalbard Islands): mineral
chemistry and geochemical records, Rend. Fis. Acc. Lincei, 27, 115–127,
https://doi.org/10.1007/s12210-016-0533-7, 2016.
Mues, A., Manders, A., Schaap, M., van Ulft, L. H., van Meijgaard, E., and
Builtjes, P.: Differences in particulate matter concentrations between urban
and rural regions under current and changing climate conditions, Atmos. Environ., 80, 232–247, https://doi.org/10.1016/j.atmosenv.2013.07.049,
2013.
Nejedlý, Z., Campbell, J. L., Teesdale, W. J., Dlouhy, J. F., Dann, T.
F., Hoff, R. M., Brook, J. R., and Wiebe, H. A.: Inter-Laboratory Comparison
of Air Particulate Monitoring Data, J. Air Waste Manage. Assoc., 48, 386–397, https://doi.org/10.1080/10473289.1998.10463698, 1998.
Nel, A.: ATMOSPHERE: Enhanced: Air Pollution-Related Illness: Effects of
Particles, Science, 308, 804–806, https://doi.org/10.1126/science.1108752, 2005.
Norris, G., Duvall, R., Brown, S., and Bai, S.: Positive Matrix
Factorization (PMF) 5.0 Fundamentals and User Guide, 136, Record ID: 308292, 2014.
Oh, S.-H., Song, M., Schauer, J. J., Shon, Z.-H., and Bae, M.-S.: Assessment
of long-range oriented source and oxidative potential on the South-west
shoreline, Korea: Molecular marker receptor models during shipborne
measurements, Environm. Pollut., 281, 116979,
https://doi.org/10.1016/j.envpol.2021.116979, 2021.
Paatero, P. and Tapper, U.: Positive matrix factorization: A non-negative
factor model with optimal utilization of error estimates of data values,
Environmetrics, 5, 111–126, https://doi.org/10.1002/env.3170050203, 1994.
Pandolfi, M., Alastuey, A., Pérez, N., Reche, C., Castro, I., Shatalov, V., and Querol, X.: Trends analysis of PM source contributions and chemical tracers in NE Spain during 2004–2014: a multi-exponential approach, Atmos. Chem. Phys., 16, 11787–11805, https://doi.org/10.5194/acp-16-11787-2016, 2016.
Pappalardo, G.: ACTRIS Aerosol, Clouds and Trace Gases Research
Infrastructure, EPJ Web Conf., 176, 09004, https://doi.org/10.1051/epjconf/201817609004, 2018.
Paraskevopoulou, D., Bougiatioti, A., Stavroulas, I., Fang, T., Lianou, M.,
Liakakou, E., Gerasopoulos, E., Weber, R., Nenes, A., and Mihalopoulos, N.:
Yearlong variability of oxidative potential of particulate matter in an
urban Mediterranean environment, Atmos. Environ., 206, 183–196,
https://doi.org/10.1016/j.atmosenv.2019.02.027, 2019.
Park, M., Joo, H. S., Lee, K., Jang, M., Kim, S. D., Kim, I., Borlaza, L. J.
S., Lim, H., Shin, H., Chung, K. H., Choi, Y.-H., Park, S. G., Bae, M.-S.,
Lee, J., Song, H., and Park, K.: Differential toxicities of fine particulate
matters from various sources, Sci. Rep., 8, 17007,
https://doi.org/10.1038/s41598-018-35398-0, 2018.
Pernigotti, D. and Belis, C. A.: DeltaSA tool for source apportionment
benchmarking, description and sensitivity analysis, Atmos. Environ.,
180, 138–148, https://doi.org/10.1016/j.atmosenv.2018.02.046, 2018.
Pey, J., Pérez, N., Castillo, S., Viana, M., Moreno, T., Pandolfi, M.,
López-Sebastián, J. M., Alastuey, A., and Querol, X.: Geochemistry
of regional background aerosols in the Western Mediterranean, Atmos.
Res., 94, 422–435, https://doi.org/10.1016/j.atmosres.2009.07.001, 2009.
Pietrogrande, M. C., Russo, M., and Zagatti, E.: Review of PM Oxidative Potential Measured with Acellular Assays in Urban and Rural Sites across Italy, Atmosphere, 10, 626, https://doi.org/10.3390/atmos10100626, 2019.
Pio, C., Cerqueira, M., Harrison, R. M., Nunes, T., Mirante, F., Alves, C.,
Oliveira, C., Sanchez de la Campa, A., Artíñano, B., and Matos, M.:
OC EC ratio observations in Europe: Re-thinking the approach for
apportionment between primary and secondary organic carbon, Atmos. Environ., 45, 6121–6132, https://doi.org/10.1016/j.atmosenv.2011.08.045, 2011.
Putaud, J.-P., Raes, F., Van Dingenen, R., Brüggemann, E., Facchini,
M.-C., Decesari, S., Fuzzi, S., Gehrig, R., Hüglin, C., Laj, P.,
Lorbeer, G., Maenhaut, W., Mihalopoulos, N., Müller, K., Querol, X.,
Rodriguez, S., Schneider, J., Spindler, G., Brink, H. ten, Tørseth, K.,
and Wiedensohler, A.: A European aerosol phenomenology – 2: chemical
characteristics of particulate matter at kerbside, urban, rural and
background sites in Europe, Atmos. Environ., 38, 2579–2595,
https://doi.org/10.1016/j.atmosenv.2004.01.041, 2004.
Rinaldi, M., Gilardoni, S., Paglione, M., Sandrini, S., Fuzzi, S., Massoli, P., Bonasoni, P., Cristofanelli, P., Marinoni, A., Poluzzi, V., and Decesari, S.: Organic aerosol evolution and transport observed at Mt. Cimone (2165 m a.s.l.), Italy, during the PEGASOS campaign, Atmos. Chem. Phys., 15, 11327–11340, https://doi.org/10.5194/acp-15-11327-2015, 2015.
Rodríguez González, S., Querol Carceller, X., Universitat
Politècnica de Catalunya, and Departament d'Enginyeria Minera i Recursos
Naturals: Sources and processes affecting levels and composition of
atmospheric particulate matter in the Western Mediterranean, Universitat
Politècnica de Catalunya, Barcelona, ISBN 8468809454, 2003.
Salvador, P., Artíñano, B., Viana, M., Alastuey, A., and Querol,
X.: Evaluation of the changes in the Madrid metropolitan area influencing
air quality: Analysis of 1999–2008 temporal trend of particulate matter,
Atmos. Environ., 57, 175–185, https://doi.org/10.1016/j.atmosenv.2012.04.026, 2012.
Samaké, A., Jaffrezo, J.-L., Favez, O., Weber, S., Jacob, V., Albinet, A., Riffault, V., Perdrix, E., Waked, A., Golly, B., Salameh, D., Chevrier, F., Oliveira, D. M., Bonnaire, N., Besombes, J.-L., Martins, J. M. F., Conil, S., Guillaud, G., Mesbah, B., Rocq, B., Robic, P.-Y., Hulin, A., Le Meur, S., Descheemaecker, M., Chretien, E., Marchand, N., and Uzu, G.: Polyols and glucose particulate species as tracers of primary biogenic organic aerosols at 28 French sites, Atmos. Chem. Phys., 19, 3357–3374, https://doi.org/10.5194/acp-19-3357-2019, 2019.
Scerri, M. M., Kandler, K., and Weinbruch, S.: Disentangling the
contribution of Saharan dust and marine aerosol to PM10 levels in the
Central Mediterranean, Atmos. Environ., 147, 395–408,
https://doi.org/10.1016/j.atmosenv.2016.10.028, 2016.
Seabold, S. and Perktold, J.: Statsmodels: Econometric and Statistical
Modeling with Python, Python in Science Conference, 28 June–3 July 2010, Austin, Texas, 92–96, https://doi.org/10.25080/Majora-92bf1922-011, 2010.
Seinfeld, J. H. and Pandis, S. N.: Atmospheric chemistry and physics: from
air pollution to climate change, 3rd edition., Wiley, Hoboken, New Jersey,
1120 pp., ISBN 9781118947401, 2016.
Spindler, G., Grüner, A., Müller, K., Schlimper, S., and Herrmann,
H.: Long-term size-segregated particle (PM10, PM2.5, PM1) characterization study at Melpitz – influence of air mass inflow, weather conditions and season, J. Atmos. Chem., 70, 165–195,
https://doi.org/10.1007/s10874-013-9263-8, 2013.
Srivastava, D., Tomaz, S., Favez, O., Lanzafame, G. M., Golly, B., Besombes,
J.-L., Alleman, L. Y., Jaffrezo, J.-L., Jacob, V., Perraudin, E., Villenave,
E., and Albinet, A.: Speciation of organic fraction does matter for source
apportionment. Part 1: A one-year campaign in Grenoble (France), Sci. Total Environ., 624, 1598–1611, https://doi.org/10.1016/j.scitotenv.2017.12.135, 2018.
Sun, J., Birmili, W., Hermann, M., Tuch, T., Weinhold, K., Merkel, M., Rasch, F., Müller, T., Schladitz, A., Bastian, S., Löschau, G., Cyrys, J., Gu, J., Flentje, H., Briel, B., Asbach, C., Kaminski, H., Ries, L., Sohmer, R., Gerwig, H., Wirtz, K., Meinhardt, F., Schwerin, A., Bath, O., Ma, N., and Wiedensohler, A.: Decreasing trends of particle number and black carbon mass concentrations at 16 observational sites in Germany from 2009 to 2018, Atmos. Chem. Phys., 20, 7049–7068, https://doi.org/10.5194/acp-20-7049-2020, 2020.
Tomaz, S., Shahpoury, P., Jaffrezo, J.-L., Lammel, G., Perraudin, E.,
Villenave, E., and Albinet, A.: One-year study of polycyclic aromatic
compounds at an urban site in Grenoble (France): Seasonal variations,
gas/particle partitioning and cancer risk estimation, Sci. Total
Environ., 565, 1071–1083, https://doi.org/10.1016/j.scitotenv.2016.05.137, 2016.
Tomaz, S., Jaffrezo, J.-L., Favez, O., Perraudin, E., Villenave, E., and
Albinet, A.: Sources and atmospheric chemistry of oxy- and nitro-PAHs in the
ambient air of Grenoble (France), Atmos. Environ., 161, 144–154,
https://doi.org/10.1016/j.atmosenv.2017.04.042, 2017.
Valko, M., Morris, H., and Cronin, M.: Metals, Toxicity and Oxidative
Stress, Curr. Med. Chem., 12, 1161–1208, https://doi.org/10.2174/0929867053764635, 2005.
Verma, V., Fang, T., Guo, H., King, L., Bates, J. T., Peltier, R. E., Edgerton, E., Russell, A. G., and Weber, R. J.: Reactive oxygen species associated with water-soluble PM2.5 in the southeastern United States: spatiotemporal trends and source apportionment, Atmos. Chem. Phys., 14, 12915–12930, https://doi.org/10.5194/acp-14-12915-2014, 2014.
Viana, M., Chi, X., Maenhaut, W., Querol, X., Alastuey, A., Mikuska, P., and
Vecera, Z.: Organic and elemental carbon concentrations in carbonaceous
aerosols during summer and winter sampling campaigns in Barcelona, Spain,
Atmos. Environ., 40, 2180–2193, https://doi.org/10.1016/j.atmosenv.2005.12.001, 2006.
Visentin, M., Pagnoni, A., Sarti, E., and Pietrogrande, M. C.: Urban PM2.5 oxidative potential: Importance of chemical species and comparison of two spectrophotometric cell-free assays, Environm. Pollut., 219, 72–79,
https://doi.org/10.1016/j.envpol.2016.09.047, 2016.
Waked, A., Favez, O., Alleman, L. Y., Piot, C., Petit, J.-E., Delaunay, T., Verlinden, E., Golly, B., Besombes, J.-L., Jaffrezo, J.-L., and Leoz-Garziandia, E.: Source apportionment of PM10 in a north-western Europe regional urban background site (Lens, France) using positive matrix factorization and including primary biogenic emissions, Atmos. Chem. Phys., 14, 3325–3346, https://doi.org/10.5194/acp-14-3325-2014, 2014.
Wang, Y., Wang, M., Li, S., Sun, H., Mu, Z., Zhang, L., Li, Y., and Chen,
Q.: Study on the oxidation potential of the water-soluble components of
ambient PM2.5 over Xi'an, China: Pollution levels, source apportionment and transport pathways, Environ. Int., 136, 105515,
https://doi.org/10.1016/j.envint.2020.105515, 2020.
Wappelhorst, S. and Muncrief, R.: How can real-world vehicle emissions data
help cities to become zero-emission: some evidence from Europe, TRUE – The
Real Urban Emissions Initiative, United Kingdom, https://www.trueinitiative.org/media/749323/true-policy-dialogue-paper-1.pdf (last access: 6 July 2022), 2019.
Weber, S., Uzu, G., Calas, A., Chevrier, F., Besombes, J.-L., Charron, A., Salameh, D., Ježek, I., Močnik, G., and Jaffrezo, J.-L.: An apportionment method for the oxidative potential of atmospheric particulate matter sources: application to a one-year study in Chamonix, France, Atmos. Chem. Phys., 18, 9617–9629, https://doi.org/10.5194/acp-18-9617-2018, 2018.
Weber, S., Salameh, D., Albinet, A., Alleman, L. Y., Waked, A., Besombes,
J.-L., Jacob, V., Guillaud, G., Meshbah, B., Rocq, B., Hulin, A.,
Dominik-Sègue, M., Chrétien, E., Jaffrezo, J.-L., and Favez, O.:
Comparison of PM10 Sources Profiles at 15 French Sites Using a Harmonized Constrained Positive Matrix Factorization Approach, Atmosphere, 10, 310, https://doi.org/10.3390/atmos10060310, 2019.
Weber, S., Uzu, G., Favez, O., Borlaza, L. J. S., Calas, A., Salameh, D., Chevrier, F., Allard, J., Besombes, J.-L., Albinet, A., Pontet, S., Mesbah, B., Gille, G., Zhang, S., Pallares, C., Leoz-Garziandia, E., and Jaffrezo, J.-L.: Source apportionment of atmospheric PM10 oxidative potential: synthesis of 15 year-round urban datasets in France, Atmos. Chem. Phys., 21, 11353–11378, https://doi.org/10.5194/acp-21-11353-2021, 2021.
Xiong, Q., Yu, H., Wang, R., Wei, J., and Verma, V.: Rethinking
Dithiothreitol-Based Particulate Matter Oxidative Potential: Measuring
Dithiothreitol Consumption versus Reactive Oxygen Species Generation,
Environ. Sci. Technol., 51, 6507–6514, https://doi.org/10.1021/acs.est.7b01272, 2017.
Yan, C., Nie, W., Äijälä, M., Rissanen, M. P., Canagaratna, M. R., Massoli, P., Junninen, H., Jokinen, T., Sarnela, N., Häme, S. A. K., Schobesberger, S., Canonaco, F., Yao, L., Prévôt, A. S. H., Petäjä, T., Kulmala, M., Sipilä, M., Worsnop, D. R., and Ehn, M.: Source characterization of highly oxidized multifunctional compounds in a boreal forest environment using positive matrix factorization, Atmos. Chem. Phys., 16, 12715–12731, https://doi.org/10.5194/acp-16-12715-2016, 2016.
Yang, A., Jedynska, A., Hellack, B., Kooter, I., Hoek, G., Brunekreef, B.,
Kuhlbusch, T. A. J., Cassee, F. R., and Janssen, N. A. H.: Measurement of
the oxidative potential of PM2.5 and its constituents: The effect of
extraction solvent and filter type, Atmos. Environ., 83, 35–42,
https://doi.org/10.1016/j.atmosenv.2013.10.049, 2014.
Yazdani, A., Dillner, A. M., and Takahama, S.: Estimating mean molecular weight, carbon number, and OM OC with mid-infrared spectroscopy in organic particulate matter samples from a monitoring network, Atmos. Meas. Tech., 14, 4805–4827, https://doi.org/10.5194/amt-14-4805-2021, 2021.
Yu, H., Wei, J., Cheng, Y., Subedi, K., and Verma, V.: Synergistic and
Antagonistic Interactions among the Particulate Matter Components in
Generating Reactive Oxygen Species Based on the Dithiothreitol Assay,
Environ. Sci. Technol., 52, 2261–2270, https://doi.org/10.1021/acs.est.7b04261, 2018.
Zhang, Y., Albinet, A., Petit, J.-E., Jacob, V., Chevrier, F., Gille, G.,
Pontet, S., Chrétien, E., Dominik-Sègue, M., Levigoureux, G.,
Močnik, G., Gros, V., Jaffrezo, J.-L., and Favez, O.: Substantial brown
carbon emissions from wintertime residential wood burning over France,
Sci. Total Environ., 743, 140752, https://doi.org/10.1016/j.scitotenv.2020.140752, 2020.
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Short summary
A 9-year dataset of the chemical and oxidative potential (OP) of PM10 was investigated at a rural background site. Extensive source apportionment led to identification of differences in source impacts between mass and OP, underlining the importance of PM redox activity when considering health effects. The influence of mixing and ageing processes was also tackled. Traffic contributions have decreased here over the years, attributed to regulations limiting vehicular emissions in bigger cities.
A 9-year dataset of the chemical and oxidative potential (OP) of PM10 was investigated at a...
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