Articles | Volume 21, issue 12
https://doi.org/10.5194/acp-21-9719-2021
© 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-21-9719-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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
Lucille Joanna S. Borlaza
CORRESPONDING AUTHOR
University of Grenoble Alpes, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
Samuël Weber
University of Grenoble Alpes, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
Jean-Luc Jaffrezo
University of Grenoble Alpes, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
Stephan Houdier
University of Grenoble Alpes, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
Rémy Slama
University of Grenoble Alpes, Inserm, CNRS, IAB (Institute of Advanced Biosciences), Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France
Camille Rieux
Atmo AuRA, 38400 Grenoble, France
Alexandre Albinet
INERIS, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France
Steve Micallef
Atmo AuRA, 38400 Grenoble, France
Cécile Trébluchon
Atmo AuRA, 38400 Grenoble, France
University of Grenoble Alpes, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
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Abd El Rahman El Mais, Barbara D'Anna, Luka Drinovec, Andrew T. Lambe, Zhe Peng, Jean-Eudes Petit, Olivier Favez, Selim Aït-Aïssa, and Alexandre Albinet
Atmos. Chem. Phys., 23, 15077–15096, https://doi.org/10.5194/acp-23-15077-2023, https://doi.org/10.5194/acp-23-15077-2023, 2023
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Polycyclic aromatic hydrocarbons (PAHS) and furans are key precursors of secondary organic aerosols (SOAs) related to biomass burning emissions. We evaluated and compared the formation yields, and the physical and light absorption properties, of laboratory-generated SOAs from the oxidation of such compounds for both, day- and nighttime reactivities. The results illustrate that PAHs are large SOA precursors and may contribute significantly to the biomass burning brown carbon in the atmosphere.
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
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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.
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.
Lucille Joanna Borlaza, Samuël Weber, Anouk Marsal, Gaëlle Uzu, Véronique Jacob, Jean-Luc Besombes, Mélodie Chatain, Sébastien Conil, and Jean-Luc Jaffrezo
Atmos. Chem. Phys., 22, 8701–8723, https://doi.org/10.5194/acp-22-8701-2022, https://doi.org/10.5194/acp-22-8701-2022, 2022
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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.
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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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
Short summary
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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.
Tatiana Drotikova, Alena Dekhtyareva, Roland Kallenborn, and Alexandre Albinet
Atmos. Chem. Phys., 21, 14351–14370, https://doi.org/10.5194/acp-21-14351-2021, https://doi.org/10.5194/acp-21-14351-2021, 2021
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A total of 86 polycyclic aromatic compounds (PACs), toxic compounds mainly emitted after fossil fuel combustion, were measured during 8 months in the urban air of Longyearbyen (78° N, 15° E), the most populated settlement in Svalbard. Contrary to a stereotype of pristine Arctic conditions with very low human activity, considerable PAC concentrations were detected, with spring levels comparable to European levels. Air pollution was caused by local snowmobiles in spring and shipping in summer.
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
Short summary
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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.
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.
Martin Rigler, Luka Drinovec, Gašper Lavrič, Athanasia Vlachou, André S. H. Prévôt, Jean Luc Jaffrezo, Iasonas Stavroulas, Jean Sciare, Judita Burger, Irena Kranjc, Janja Turšič, Anthony D. A. Hansen, and Griša Močnik
Atmos. Meas. Tech., 13, 4333–4351, https://doi.org/10.5194/amt-13-4333-2020, https://doi.org/10.5194/amt-13-4333-2020, 2020
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Carbonaceous aerosols are a large fraction of fine particulate matter. They are extremely diverse, and they directly impact air quality, visibility, cloud formation and public health. In this paper we present a new instrument and new method to measure carbon content in particulate matter in real time and at a high time resolution. The new method was validated in a 1-month winter field campaign in Ljubljana, Slovenia.
Lu Qi, Alexander L. Vogel, Sepideh Esmaeilirad, Liming Cao, Jing Zheng, Jean-Luc Jaffrezo, Paola Fermo, Anne Kasper-Giebl, Kaspar R. Daellenbach, Mindong Chen, Xinlei Ge, Urs Baltensperger, André S. H. Prévôt, and Jay G. Slowik
Atmos. Chem. Phys., 20, 7875–7893, https://doi.org/10.5194/acp-20-7875-2020, https://doi.org/10.5194/acp-20-7875-2020, 2020
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We present the first application of this online and offline strategy using the new extractive electrospray ionization time-of-flight mass spectrometer (EESI-TOF), which achieves increased chemical specificity relative to other online techniques. Measurement and source apportionment of 1 year of filter samples collected in Zurich, Switzerland, show seasonal contributions from fresh and aged wood combustion in winter and biogenic emission-derived SOA in summer, as well as other sources.
Andrew T. Lambe, Ezra C. Wood, Jordan E. Krechmer, Francesca Majluf, Leah R. Williams, Philip L. Croteau, Manuela Cirtog, Anaïs Féron, Jean-Eudes Petit, Alexandre Albinet, Jose L. Jimenez, and Zhe Peng
Atmos. Meas. Tech., 13, 2397–2411, https://doi.org/10.5194/amt-13-2397-2020, https://doi.org/10.5194/amt-13-2397-2020, 2020
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We present a new method to continuously generate N2O5 in the gas phase that is injected into a reactor where it decomposes to generate nitrate radicals (NO3). To assess the applicability of the method towards different chemical systems, we present experimental and model characterization of the integrated NO3 exposure and other metrics as a function of operating conditions. We demonstrate the method by characterizing secondary organic aerosol particles generated from the β-pinene + NO3 reaction.
Abdoulaye Samaké, Aurélie Bonin, Jean-Luc Jaffrezo, Pierre Taberlet, Samuël Weber, Gaëlle Uzu, Véronique Jacob, Sébastien Conil, and Jean M. F. Martins
Atmos. Chem. Phys., 20, 5609–5628, https://doi.org/10.5194/acp-20-5609-2020, https://doi.org/10.5194/acp-20-5609-2020, 2020
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Despite being a major source of coarse organic matter, primary biogenic organic aerosols (PBOAs) remain poorly implemented in source-resolved chemical transport models. This study, based on an intensive field sampling of aerosols, combined physicochemical characterizations of PM10 with DNA high-throughput sequencing to provide a comprehensive understanding of the microbial fingerprints associated with primary sugar compounds (tracers of PBOAs) and their main surrounding environmental sources.
Yunjiang Zhang, Olivier Favez, Jean-Eudes Petit, Francesco Canonaco, Francois Truong, Nicolas Bonnaire, Vincent Crenn, Tanguy Amodeo, Andre S. H. Prévôt, Jean Sciare, Valerie Gros, and Alexandre Albinet
Atmos. Chem. Phys., 19, 14755–14776, https://doi.org/10.5194/acp-19-14755-2019, https://doi.org/10.5194/acp-19-14755-2019, 2019
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We present 6-year source apportionment of organic aerosol (OA) achieved with near-continuous online measurements and subsequent receptor model analysis in the Paris region, France. The OA factors presented distinct seasonal patterns, associated with different atmospheric formation processes and roles in air pollution. Limited year-round trends for two primary anthropogenic factors and a biogenic-like secondary factor were observed, while a more oxidized secondary OA showed a decreasing feature.
Abdoulaye Samaké, Jean-Luc Jaffrezo, Olivier Favez, Samuël Weber, Véronique Jacob, Trishalee Canete, Alexandre Albinet, Aurélie Charron, Véronique Riffault, Esperanza Perdrix, Antoine Waked, Benjamin Golly, Dalia Salameh, Florie Chevrier, Diogo Miguel Oliveira, Jean-Luc Besombes, Jean M. F. Martins, Nicolas Bonnaire, Sébastien Conil, Géraldine Guillaud, Boualem Mesbah, Benoit Rocq, Pierre-Yves Robic, Agnès Hulin, Sébastien Le Meur, Maxence Descheemaecker, Eve Chretien, Nicolas Marchand, and Gaëlle Uzu
Atmos. Chem. Phys., 19, 11013–11030, https://doi.org/10.5194/acp-19-11013-2019, https://doi.org/10.5194/acp-19-11013-2019, 2019
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We conducted a large study focusing on the daily (24 h) PM10 sugar compound (SC) concentrations for 16 increasing space-scale sites in France (local to nationwide) over at least 1 complete year. Our main results clearly show distance-dependent covariation patterns, with SC concentrations being highly synchronous at an urban city scale and remaining well correlated throughout the same geographic regions. However, sampling sites located in two distinct geographic areas are poorly correlated.
Athanasia Vlachou, Anna Tobler, Houssni Lamkaddam, Francesco Canonaco, Kaspar R. Daellenbach, Jean-Luc Jaffrezo, María Cruz Minguillón, Marek Maasikmets, Erik Teinemaa, Urs Baltensperger, Imad El Haddad, and André S. H. Prévôt
Atmos. Chem. Phys., 19, 7279–7295, https://doi.org/10.5194/acp-19-7279-2019, https://doi.org/10.5194/acp-19-7279-2019, 2019
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The resolution of rotational ambiguity in positive matrix factorization (PMF) models is a major challenge. Here, we developed a method based on bootstrapping and correlations to extract environmentally meaningful solutions from PMF analysis based on offline aerosol mass spectrometry data. The method has been tested on a dataset that covers 1 full year of filter samples collected at three different sites in Estonia.
Kaspar R. Daellenbach, Ivan Kourtchev, Alexander L. Vogel, Emily A. Bruns, Jianhui Jiang, Tuukka Petäjä, Jean-Luc Jaffrezo, Sebnem Aksoyoglu, Markus Kalberer, Urs Baltensperger, Imad El Haddad, and André S. H. Prévôt
Atmos. Chem. Phys., 19, 5973–5991, https://doi.org/10.5194/acp-19-5973-2019, https://doi.org/10.5194/acp-19-5973-2019, 2019
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Here we present the molecular composition of the organic aerosol (OA) at an urban site in Central Europe (Zurich, Switzerland) and compare it to smog chamber wood smoke and ambient biogenic secondary OA (SOA) (Orbitrap analyses). Accordingly, we are able to explain the strong seasonality of the molecular composition by aged wood smoke and biogenic SOA during winter and summer. Our results could also explain the predominance of non-fossil organic carbon at European locations throughout the year.
Aurélie Charron, Lucie Polo-Rehn, Jean-Luc Besombes, Benjamin Golly, Christine Buisson, Hervé Chanut, Nicolas Marchand, Géraldine Guillaud, and Jean-Luc Jaffrezo
Atmos. Chem. Phys., 19, 5187–5207, https://doi.org/10.5194/acp-19-5187-2019, https://doi.org/10.5194/acp-19-5187-2019, 2019
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This research quantified particulate species that could be used to trace non-exhaust and exhaust traffic emissions. Results showed the important contribution of heavy metals from brake wear to total particulate traffic emissions. In France the traffic largely dominated by diesel vehicles led to important emissions of elemental carbon, as well as significant emissions of low-molecular-weight polycyclic aromatic compounds.
Abdoulaye Samaké, Jean-Luc Jaffrezo, Olivier Favez, Samuël Weber, Véronique Jacob, Alexandre Albinet, Véronique Riffault, Esperanza Perdrix, Antoine Waked, Benjamin Golly, Dalia Salameh, Florie Chevrier, Diogo Miguel Oliveira, Nicolas Bonnaire, Jean-Luc Besombes, Jean M. F. Martins, Sébastien Conil, Géraldine Guillaud, Boualem Mesbah, Benoit Rocq, Pierre-Yves Robic, Agnès Hulin, Sébastien Le Meur, Maxence Descheemaecker, Eve Chretien, Nicolas Marchand, and Gaëlle Uzu
Atmos. Chem. Phys., 19, 3357–3374, https://doi.org/10.5194/acp-19-3357-2019, https://doi.org/10.5194/acp-19-3357-2019, 2019
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The contribution of primary biogenic organic aerosols to PM is barely documented. This work provides a broad overview of the spatiotemporal evolution of concentrations and contributions to OM of dominant primary sugar alcohols and saccharides for a large selection of environmental conditions in France (28 sites and more than 5 340 samples). These chemicals are ubiquitous, and are associated with coarse aerosols. Their concentrations display site-to-site and clear seasonal variations.
Samuël Weber, Gaëlle Uzu, Aude Calas, Florie Chevrier, Jean-Luc Besombes, Aurélie Charron, Dalia Salameh, Irena Ježek, Griša Močnik, and Jean-Luc Jaffrezo
Atmos. Chem. Phys., 18, 9617–9629, https://doi.org/10.5194/acp-18-9617-2018, https://doi.org/10.5194/acp-18-9617-2018, 2018
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The oxidative potential (OP) of the PM appears to be a relevant proxy of health outcomes from PM exposure. We developed a new statistical model using a coupled approach with positive matrix factorization (PMF) and multiple linear regressions to attribute a redox activity per PM sources. Our results highlight the importance of biomass burning and vehicular sources to explain the observed OP of PM. A different contribution of the sources is observed when considering OP or the mass of the PM10.
Aude Calas, Gaëlle Uzu, Frank J. Kelly, Stephan Houdier, Jean M. F. Martins, Fabrice Thomas, Florian Molton, Aurélie Charron, Christina Dunster, Ana Oliete, Véronique Jacob, Jean-Luc Besombes, Florie Chevrier, and Jean-Luc Jaffrezo
Atmos. Chem. Phys., 18, 7863–7875, https://doi.org/10.5194/acp-18-7863-2018, https://doi.org/10.5194/acp-18-7863-2018, 2018
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This study reports on seasonal variations of five oxidative potential (OP) assays of PM from the city of Chamonix over a 1-year period. A detailed PM10 characterization allowed univariate and multivariate regression analyses in order to obtain further insight into groups of chemical species that drive OP measurements. Evidence is presented of intercorrelation assays and seasonal contrasts.
Athanasia Vlachou, Kaspar R. Daellenbach, Carlo Bozzetti, Benjamin Chazeau, Gary A. Salazar, Soenke Szidat, Jean-Luc Jaffrezo, Christoph Hueglin, Urs Baltensperger, Imad El Haddad, and André S. H. Prévôt
Atmos. Chem. Phys., 18, 6187–6206, https://doi.org/10.5194/acp-18-6187-2018, https://doi.org/10.5194/acp-18-6187-2018, 2018
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Carbonaceous aerosols are related to adverse human health effects, which depend on the aerosol chemical composition and size. Here, we combine aerosol mass spectrometry and radiocarbon measurements of size-resolved samples collected over a long term to identify the origins of primary and secondary carbonaceous aerosols in the fine and coarse modes.
Kaspar R. Daellenbach, Imad El-Haddad, Lassi Karvonen, Athanasia Vlachou, Joel C. Corbin, Jay G. Slowik, Maarten F. Heringa, Emily A. Bruns, Samuel M. Luedin, Jean-Luc Jaffrezo, Sönke Szidat, Andrea Piazzalunga, Raquel Gonzalez, Paola Fermo, Valentin Pflueger, Guido Vogel, Urs Baltensperger, and André S. H. Prévôt
Atmos. Chem. Phys., 18, 2155–2174, https://doi.org/10.5194/acp-18-2155-2018, https://doi.org/10.5194/acp-18-2155-2018, 2018
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A novel offline LDI-MS method was developed to analyse particulate matter (PM) collected at multiple sites in central Europe during the entire year of 2013. PM sources were identified by positive matrix factorization. Wood burning emissions were separated according to the burning conditions; inefficient burns had a larger impact on air quality in southern Alpine valleys than in northern Switzerland. Moreover, primary tailpipe exhaust was distinguished from aged/secondary traffic emissions.
Allison N. Schwier, Karine Sellegri, Sébastien Mas, Bruno Charrière, Jorge Pey, Clémence Rose, Brice Temime-Roussel, Jean-Luc Jaffrezo, David Parin, David Picard, Mickael Ribeiro, Greg Roberts, Richard Sempéré, Nicolas Marchand, and Barbara D'Anna
Atmos. Chem. Phys., 17, 14645–14660, https://doi.org/10.5194/acp-17-14645-2017, https://doi.org/10.5194/acp-17-14645-2017, 2017
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In the present paper, we quantify sea-to-air emission fluxes of aerosol to the atmosphere and characterize their physical and chemical properties as a function of the seawater biochemical and physical properties. Fluxes are evaluated with an original approach, a "lab in the field" experiment that preserves the seawater and atmospheric complexity while isolating air-to-sea exchanges from their surroundings. We show different features of the aerosol emission fluxes compared to previous findings.
Yunjiang Zhang, Lili Tang, Philip L. Croteau, Olivier Favez, Yele Sun, Manjula R. Canagaratna, Zhuang Wang, Florian Couvidat, Alexandre Albinet, Hongliang Zhang, Jean Sciare, André S. H. Prévôt, John T. Jayne, and Douglas R. Worsnop
Atmos. Chem. Phys., 17, 14501–14517, https://doi.org/10.5194/acp-17-14501-2017, https://doi.org/10.5194/acp-17-14501-2017, 2017
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We conducted the first field measurements of non-refractory fine aerosols (NR-PM2.5) in a megacity of eastern China using a PM2.5-ACSM along with a PM1-ACSM measurement. Inter-comparisons demonstrated that the NR-PM2.5 components can be characterized. Substantial mass fractions of aerosol species were observed in the size range of 1–2.5 μm, with sulfate and SOA being the two largest contributors. The impacts of aerosol water driven by secondary inorganic aerosols on SOA formation were explored.
Kaspar R. Daellenbach, Giulia Stefenelli, Carlo Bozzetti, Athanasia Vlachou, Paola Fermo, Raquel Gonzalez, Andrea Piazzalunga, Cristina Colombi, Francesco Canonaco, Christoph Hueglin, Anne Kasper-Giebl, Jean-Luc Jaffrezo, Federico Bianchi, Jay G. Slowik, Urs Baltensperger, Imad El-Haddad, and André S. H. Prévôt
Atmos. Chem. Phys., 17, 13265–13282, https://doi.org/10.5194/acp-17-13265-2017, https://doi.org/10.5194/acp-17-13265-2017, 2017
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We present offline AMS analyses for the organic aerosol (OA) in PM10 at nine sites in central Europe for 2013. Primary OA is separated into traffic, cooking, and wood-burning components. A factor explaining sulfur-containing ions, with an event-driven time series, is also separated. We observe enhanced production of secondary OA (SOA) in summer, following biogenic emissions with temperature. In winter a SOA component is dominant, which correlates with anthropogenic inorganic species.
Carlo Bozzetti, Yuliya Sosedova, Mao Xiao, Kaspar R. Daellenbach, Vidmantas Ulevicius, Vadimas Dudoitis, Genrik Mordas, Steigvilė Byčenkienė, Kristina Plauškaitė, Athanasia Vlachou, Benjamin Golly, Benjamin Chazeau, Jean-Luc Besombes, Urs Baltensperger, Jean-Luc Jaffrezo, Jay G. Slowik, Imad El Haddad, and André S. H. Prévôt
Atmos. Chem. Phys., 17, 117–141, https://doi.org/10.5194/acp-17-117-2017, https://doi.org/10.5194/acp-17-117-2017, 2017
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In this study we present the offline-AMS source apportionment of the submicron organic aerosol (OA) sources conducted over 1 year at three locations in the south east Baltic region, which has so far received small attention. Offline-AMS enabled broadening the AMS spatial and temporal coverage, and provided a full characterization of the OA sources. Source apportionment results revealed that biomass burning and biogenic secondary emissions were the major OA sources during winter and summer.
Alexia Baudic, Valérie Gros, Stéphane Sauvage, Nadine Locoge, Olivier Sanchez, Roland Sarda-Estève, Cerise Kalogridis, Jean-Eudes Petit, Nicolas Bonnaire, Dominique Baisnée, Olivier Favez, Alexandre Albinet, Jean Sciare, and Bernard Bonsang
Atmos. Chem. Phys., 16, 11961–11989, https://doi.org/10.5194/acp-16-11961-2016, https://doi.org/10.5194/acp-16-11961-2016, 2016
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This article presents ambient air VOC measurements performed in Paris during the MEGAPOLI and FRANCIPOL campaigns (2010). For the first time, we report (O)VOC concentration levels, their temporal variations and their main emission sources. The originality of this study stands in using near-field observations to help strengthen the identification of apportioned sources derived from PMF. An important finding of this work is the high contribution of the wood burning source (50 %) in winter.
Related subject area
Subject: Aerosols | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Characterization of atmospheric water-soluble brown carbon in the Athabasca oil sands region, Canada
Sensitivity of aerosol and cloud properties to coupling strength of marine boundary layer clouds over the northwest Atlantic
Burning conditions and transportation pathways determine biomass-burning aerosol properties in the Ascension Island marine boundary layer
Observations of high-time-resolution and size-resolved aerosol chemical composition and microphysics in the central Arctic: implications for climate-relevant particle properties
Measurement report: Brown carbon aerosol in rural Germany – sources, chemistry, and diurnal variations
Multiple eco-regions contribute to the seasonal cycle of Antarctic aerosol size distributions
Seasonal investigation of ultrafine-particle organic composition in an eastern Amazonian rainforest
High-resolution analyses of concentrations and sizes of refractory black carbon particles deposited in northwestern Greenland over the past 350 years – Part 2: Seasonal and temporal trends in refractory black carbon originated from fossil fuel combustion and biomass burning
Significant role of biomass burning in heavy haze formation in Nanjing, a megacity in China: molecular-level insights from intensive PM2.5 sampling on winter hazy days
Widespread trace bromine and iodine in remote tropospheric non-sea-salt aerosols
Formation and chemical evolution of secondary organic aerosol in two different environments: a dual-chamber study
Non biogenic source is an important but overlooked contributor to aerosol isoprene-derived organosulfates during winter in northern China
Technical note: Quantified organic aerosol subsaturated hygroscopicity by a simple optical scatter monitor system through field measurements
Measurement report: Oxidation potential of water-soluble aerosol components in the south and north of Beijing
Enhanced daytime secondary aerosol formation driven by gas–particle partitioning in downwind urban plumes
Understanding the mechanism and importance of brown carbon bleaching across the visible spectrum in biomass burning plumes from the WE-CAN campaign
Influence of terrestrial and marine air mass on the constituents and intermixing of bioaerosols over a coastal atmosphere
A multi-site passive approach to studying the emissions and evolution of smoke from prescribed fires
The annual cycle and sources of relevant aerosol precursor vapors in the central Arctic during the MOSAiC expedition
Measurement Report: Vertically resolved Atmospheric Properties Observed over the Southern Great Plains with Uncrewed Aerial System – ArcticShark
Opinion: How will advances in aerosol science inform our understanding of the health impacts of outdoor particulate pollution?
Measurement report: Intra-annual variability of black carbon and brown carbon and their interrelation with meteorological conditions over Gangtok, Sikkim
Long-range transport of air pollutants increases the concentration of hazardous components of PM2.5 in northern South America
Molecular characterization of organic aerosols in urban and forested areas of Paris using high resolution mass spectrometry
Dominant influence of biomass combustion and cross-border transport on nitrogen-containing organic compound levels in the southeastern Tibetan Plateau
The Critical Role of Aqueous-Phase Processes in Aromatic-Derived Nitrogen-Containing Organic Aerosol Formation in Cities with Different Energy Consumption Patterns
Measurement report: Wintertime aerosol characterization at an urban traffic site in Helsinki Finland
Impacts of elevated anthropogenic emissions on physicochemical characteristics of black-carbon-containing particles over the Tibetan Plateau
Online characterization of primary and secondary emissions of particulate matter and acidic molecules from a modern fleet of city buses
Atmospheric evolution of environmentally persistent free radicals in the rural North China Plain: effects on water solubility and PM2.5 oxidative potential
Two distinct ship emission profiles for organic-sulfate source apportionment of PM in sulfur emission control areas
Automated compound speciation, cluster analysis, and quantification of organic vapors and aerosols using comprehensive two-dimensional gas chromatography and mass spectrometry
Marine Organic Aerosols at Mace Head: Effects from Phytoplankton and Source Region Variability
Measurement report: Occurrence of aminiums in PM2.5 during winter in China – aminium outbreak during polluted episodes and potential constraints
Bridging gas and aerosol properties between the northeastern US and Bermuda: analysis of eight transit flights
The behaviour of charged particles (ions) during new particle formation events in urban Leipzig, Germany
Formation of Highly Absorptive Secondary Brown Carbon Through Nighttime Multiphase Chemistry of Biomass Burning Emissions
Exploring the sources of light-absorbing carbonaceous aerosols by integrating observational and modeling results: insights from Northeast China
Measurement report: Characteristics of airborne black-carbon-containing particles during the 2021 summer COVID-19 lockdown in a typical Yangtze River Delta city, China
Aerosol optical properties within the atmospheric boundary layer predicted from ground-based observations compared to Raman lidar retrievals during RITA-2021
Hygroscopic growth and activation changed submicron aerosol composition and properties in the North China Plain
Measurement report: Formation of tropospheric brown carbon in a lifting air mass
Vertical variability of aerosol properties and trace gases over a remote marine region: a case study over Bermuda
Source apportionment and ecotoxicity of particulate pollution events in a Major Southern Hemisphere Megacity: influence of biomass burning and a biofuel impacted fleet
Differences in aerosol and cloud properties along the central California coast when winds change from northerly to southerly
International airport emissions and their impact on local air quality: chemical speciation of ambient aerosols at Madrid–Barajas Airport during the AVIATOR campaign
The local ship speed reduction effect on black carbon emissions measured at a remote marine station
High-altitude aerosol chemical characterization and source identification: insights from the CALISHTO campaign
Measurement report: Impact of emission control measures on environmental persistent free radicals and reactive oxygen species – a short-term case study in Beijing
Characterizing water solubility of fresh and aged secondary organic aerosol in PM2.5 with the stable carbon isotope technique
Dane Blanchard, Mark Gordon, Duc Huy Dang, Paul Andrew Makar, and Julian Aherne
Atmos. Chem. Phys., 25, 2423–2442, https://doi.org/10.5194/acp-25-2423-2025, https://doi.org/10.5194/acp-25-2423-2025, 2025
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This study offers the first known evaluation of water-soluble brown carbon aerosols in the Athabasca oil sands region (AOSR), Canada. Fluorescence spectroscopy analysis of aerosol samples from five regional sites (collected during the summer of 2021) identified oil sands operations as a measurable brown carbon source. Industrial aerosol emissions were unlikely to impact regional radiative forcing. These findings show that fluorescence spectroscopy can be used to monitor brown carbon in the AOSR.
Kira Zeider, Kayla McCauley, Sanja Dmitrovic, Leong Wai Siu, Yonghoon Choi, Ewan C. Crosbie, Joshua P. DiGangi, Glenn S. Diskin, Simon Kirschler, John B. Nowak, Michael A. Shook, Kenneth L. Thornhill, Christiane Voigt, Edward L. Winstead, Luke D. Ziemba, Paquita Zuidema, and Armin Sorooshian
Atmos. Chem. Phys., 25, 2407–2422, https://doi.org/10.5194/acp-25-2407-2025, https://doi.org/10.5194/acp-25-2407-2025, 2025
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In situ aircraft data collected over the northwest Atlantic Ocean are utilized to compare aerosol conditions and turbulence between near-surface and below-cloud-base altitudes for different regimes of coupling strength between those two levels, along with how cloud microphysical properties vary across those regimes. Stronger coupling yields more homogenous aerosol structure vertically along with higher cloud drop concentrations and sea salt influence in clouds.
Amie Dobracki, Ernie R. Lewis, Arthur J. Sedlacek III, Tyler Tatro, Maria A. Zawadowicz, and Paquita Zuidema
Atmos. Chem. Phys., 25, 2333–2363, https://doi.org/10.5194/acp-25-2333-2025, https://doi.org/10.5194/acp-25-2333-2025, 2025
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Biomass-burning aerosol is commonly present in the marine boundary layer over the southeast Atlantic Ocean between June and October. Our research indicates that burning conditions, aerosol transport pathways, and prolonged oxidation processes (heterogeneous and aqueous phases) determine the chemical, microphysical, and optical properties of the boundary layer aerosol. Notably, we find that the aerosol optical properties can be estimated from the chemical properties alone.
Benjamin Heutte, Nora Bergner, Hélène Angot, Jakob B. Pernov, Lubna Dada, Jessica A. Mirrielees, Ivo Beck, Andrea Baccarini, Matthew Boyer, Jessie M. Creamean, Kaspar R. Daellenbach, Imad El Haddad, Markus M. Frey, Silvia Henning, Tiia Laurila, Vaios Moschos, Tuukka Petäjä, Kerri A. Pratt, Lauriane L. J. Quéléver, Matthew D. Shupe, Paul Zieger, Tuija Jokinen, and Julia Schmale
Atmos. Chem. Phys., 25, 2207–2241, https://doi.org/10.5194/acp-25-2207-2025, https://doi.org/10.5194/acp-25-2207-2025, 2025
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Limited aerosol measurements in the central Arctic hinder our understanding of aerosol–climate interactions in the region. Our year-long observations of aerosol physicochemical properties during the MOSAiC expedition reveal strong seasonal variations in aerosol chemical composition, where the short-term variability is heavily affected by storms in the Arctic. Local wind-generated particles are shown to be an important source of cloud seeds, especially in autumn.
Feng Jiang, Harald Saathoff, Uzoamaka Ezenobi, Junwei Song, Hengheng Zhang, Linyu Gao, and Thomas Leisner
Atmos. Chem. Phys., 25, 1917–1930, https://doi.org/10.5194/acp-25-1917-2025, https://doi.org/10.5194/acp-25-1917-2025, 2025
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The chemical composition of brown carbon in the particle and gas phase was determined by mass spectrometry. BrC in the gas phase was mainly controlled by secondary formation and particle-to-gas partitioning. BrC in the particle phase was mainly from secondary formation. This work helps to get a better understanding of diurnal variations and the sources of brown carbon aerosol at a rural location in central Europe.
James Brean, David C. S. Beddows, Eija Asmi, Aki Virkkula, Lauriane L. J. Quéléver, Mikko Sipilä, Floortje Van Den Heuvel, Thomas Lachlan-Cope, Anna Jones, Markus Frey, Angelo Lupi, Jiyeon Park, Young Jun Yoon, Rolf Weller, Giselle L. Marincovich, Gabriela C. Mulena, Roy M. Harrison, and Manuel Dall'Osto
Atmos. Chem. Phys., 25, 1145–1162, https://doi.org/10.5194/acp-25-1145-2025, https://doi.org/10.5194/acp-25-1145-2025, 2025
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Our results emphasise how understanding the geographical variation in surface types across the Antarctic is key to understanding secondary aerosol sources.
Adam E. Thomas, Hayley S. Glicker, Alex B. Guenther, Roger Seco, Oscar Vega Bustillos, Julio Tota, Rodrigo A. F. Souza, and James N. Smith
Atmos. Chem. Phys., 25, 959–977, https://doi.org/10.5194/acp-25-959-2025, https://doi.org/10.5194/acp-25-959-2025, 2025
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We present measurements of the organic composition of ultrafine particles collected from the eastern Amazon, an understudied region that is subjected to increasing human influence. We find that while isoprene chemistry is likely significant for ultrafine-particle growth throughout the year, compounds related to other sources, such as biological-spore emissions and biomass burning, exhibit striking seasonal differences, implying extensive variation in regional ultrafine-particle sources.
Kumiko Goto-Azuma, Yoshimi Ogawa-Tsukagawa, Kaori Fukuda, Koji Fujita, Motohiro Hirabayashi, Remi Dallmayr, Jun Ogata, Nobuhiro Moteki, Tatsuhiro Mori, Sho Ohata, Yutaka Kondo, Makoto Koike, Sumito Matoba, Moe Kadota, Akane Tsushima, Naoko Nagatsuka, and Teruo Aoki
Atmos. Chem. Phys., 25, 657–683, https://doi.org/10.5194/acp-25-657-2025, https://doi.org/10.5194/acp-25-657-2025, 2025
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Monthly ice core records spanning 350 years from Greenland show trends in refractory black carbon (rBC) concentrations and sizes. rBC levels have increased since the 1870s due to the inflow of anthropogenic rBC, with larger diameters than those from biomass burning (BB) rBC. High summer BB rBC peaks may reduce the ice sheet albedo, but BB rBC showed no increase until the early 2000s. These results are vital for validating aerosol and climate models.
Mingjie Kang, Mengying Bao, Wenhuai Song, Aduburexiati Abulimiti, Changliu Wu, Fang Cao, Sönke Szidat, and Yanlin Zhang
Atmos. Chem. Phys., 25, 73–91, https://doi.org/10.5194/acp-25-73-2025, https://doi.org/10.5194/acp-25-73-2025, 2025
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Reports on molecular-level knowledge of high-temporal-resolution particulate matter ≤2.5 µm in diameter (PM2.5) on hazy days are limited. We investigated various PM2.5 species and their sources. The results show biomass burning (BB) was the main source of organic carbon. Moreover, BB enhanced fungal spore emissions and secondary aerosol formation. The contribution of non-fossil sources increased with increasing haze pollution, suggesting BB may be an important driver of haze events in winter.
Gregory P. Schill, Karl D. Froyd, Daniel M. Murphy, Christina J. Williamson, Charles A. Brock, Tomás Sherwen, Mat J. Evans, Eric A. Ray, Eric C. Apel, Rebecca S. Hornbrook, Alan J. Hills, Jeff Peischl, Thomas B. Ryerson, Chelsea R. Thompson, Ilann Bourgeois, Donald R. Blake, Joshua P. DiGangi, and Glenn S. Diskin
Atmos. Chem. Phys., 25, 45–71, https://doi.org/10.5194/acp-25-45-2025, https://doi.org/10.5194/acp-25-45-2025, 2025
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Using single-particle mass spectrometry, we show that trace concentrations of bromine and iodine are ubiquitous in remote tropospheric aerosol and suggest that aerosols are an important part of the global reactive iodine budget. Comparisons to a global climate model with detailed iodine chemistry are favorable in the background atmosphere; however, the model cannot replicate our measurements near the ocean surface, in biomass burning plumes, and in the stratosphere.
Andreas Aktypis, Dontavious J. Sippial, Christina N. Vasilakopoulou, Angeliki Matrali, Christos Kaltsonoudis, Andrea Simonati, Marco Paglione, Matteo Rinaldi, Stefano Decesari, and Spyros N. Pandis
Atmos. Chem. Phys., 24, 13769–13791, https://doi.org/10.5194/acp-24-13769-2024, https://doi.org/10.5194/acp-24-13769-2024, 2024
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A dual-chamber system was deployed in two different environments (Po Valley, Italy, and Pertouli forest, Greece) to study the potential of ambient air directly injected into the chambers, to form secondary organic aerosol (SOA). In the Po Valley, the system reacts rapidly, forming large amounts of SOA, while in Pertouli the SOA formation chemistry appears to have been practically terminated before the beginning of most experiments, so there is little additional SOA formation potential left.
Ting Yang, Yu Xu, Yu-Chen Wang, Yi-Jia Ma, Hong-Wei Xiao, Hao Xiao, and Hua-Yun Xiao
EGUsphere, https://doi.org/10.5194/egusphere-2024-3823, https://doi.org/10.5194/egusphere-2024-3823, 2024
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Previous measurement-model comparisons of atmospheric isoprene levels showed a significant unidentified source of isoprene in some northern Chinese cities during winter. Here, the first combination of large-scale observations and field combustion experiments provides novel insights into biomass burning emissions as a significant source of isoprene-derived organosulfates during winter in northern cities, China.
Jie Zhang, Tianyu Zhu, Alexandra Catena, Yaowei Li, Margaret J. Schwab, Pengfei Liu, Akua Asa-Awuku, and James Schwab
Atmos. Chem. Phys., 24, 13445–13456, https://doi.org/10.5194/acp-24-13445-2024, https://doi.org/10.5194/acp-24-13445-2024, 2024
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This study shows the derived organic aerosol hygroscopicity under high-humidity conditions based on a simple optical scatter monitor system, including two nephelometric monitors (pDR-1500), when the aerosol chemical composition is already known.
Wei Yuan, Ru-Jin Huang, Chao Luo, Lu Yang, Wenjuan Cao, Jie Guo, and Huinan Yang
Atmos. Chem. Phys., 24, 13219–13230, https://doi.org/10.5194/acp-24-13219-2024, https://doi.org/10.5194/acp-24-13219-2024, 2024
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We characterized water-soluble oxidative potential (OP) levels in wintertime PM2.5 in the south and north of Beijing. Our results show that the volume-normalized dithiothreitol (DTTv) in the north was comparable to that in the south, while the mass-normalized dithiothreitol (DTTm) in the north was almost twice that in the south. Traffic-related emissions and biomass burning were the main sources of DTTv in the south, and traffic-related emissions contributed the most to DTTv in the north.
Mingfu Cai, Chenshuo Ye, Bin Yuan, Shan Huang, E Zheng, Suxia Yang, Zelong Wang, Yi Lin, Tiange Li, Weiwei Hu, Wei Chen, Qicong Song, Wei Li, Yuwen Peng, Baoling Liang, Qibin Sun, Jun Zhao, Duohong Chen, Jiaren Sun, Zhiyong Yang, and Min Shao
Atmos. Chem. Phys., 24, 13065–13079, https://doi.org/10.5194/acp-24-13065-2024, https://doi.org/10.5194/acp-24-13065-2024, 2024
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This study investigated the daytime secondary organic aerosol (SOA) formation in urban plumes. We observed a significant daytime SOA formation through gas–particle partitioning when the site was affected by urban plumes. A box model simulation indicated that urban pollutants (nitrogen oxide and volatile organic compounds) could enhance the oxidizing capacity, while the elevated volatile organic compounds were mainly responsible for promoting daytime SOA formation.
Yingjie Shen, Rudra P. Pokhrel, Amy P. Sullivan, Ezra J. T. Levin, Lauren A. Garofalo, Delphine K. Farmer, Wade Permar, Lu Hu, Darin W. Toohey, Teresa Campos, Emily V. Fischer, and Shane M. Murphy
Atmos. Chem. Phys., 24, 12881–12901, https://doi.org/10.5194/acp-24-12881-2024, https://doi.org/10.5194/acp-24-12881-2024, 2024
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The magnitude and evolution of brown carbon (BrC) absorption remain unclear, with uncertainty in climate models. Data from the WE-CAN airborne experiment show that model parameterizations overestimate the mass absorption cross section (MAC) of BrC. Observed decreases in BrC absorption with chemical markers are due to decreasing organic aerosol (OA) mass rather than a decreasing BrC MAC, which is currently implemented in models. Water-soluble BrC contributes 23 % of total absorption at 660 nm.
Qun He, Zhaowen Wang, Houfeng Liu, Pengju Xu, Rongbao Duan, Caihong Xu, Jianmin Chen, and Min Wei
Atmos. Chem. Phys., 24, 12775–12792, https://doi.org/10.5194/acp-24-12775-2024, https://doi.org/10.5194/acp-24-12775-2024, 2024
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Coastal environments provide an ideal setting for investigating the intermixing of terrestrial and marine aerosols. Terrestrial air mass constituted a larger number of microbes from anthropogenic and soil emissions, whereas saprophytic and gut microbes were predominant in marine samples. Mixed air masses indicated a fusion of marine and terrestrial aerosols, characterized by alterations in the ratio of pathogenic and saprophytic microbes when compared to either terrestrial or marine samples.
Rime El Asmar, Zongrun Li, David J. Tanner, Yongtao Hu, Susan O'Neill, L. Gregory Huey, M. Talat Odman, and Rodney J. Weber
Atmos. Chem. Phys., 24, 12749–12773, https://doi.org/10.5194/acp-24-12749-2024, https://doi.org/10.5194/acp-24-12749-2024, 2024
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Prescribed burning is an important method for managing ecosystems and preventing wildfires. However, smoke from prescribed fires can have a significant impact on air quality. Here, using a network of fixed sites and sampling throughout an extended prescribed burning period in 2 different years, we characterize emissions and evolutions of up to 8 h of PM2.5 mass, black carbon (BC), and brown carbon (BrC) in smoke from burning of forested lands in the southeastern USA.
Matthew Boyer, Diego Aliaga, Lauriane L. J. Quéléver, Silvia Bucci, Hélène Angot, Lubna Dada, Benjamin Heutte, Lisa Beck, Marina Duetsch, Andreas Stohl, Ivo Beck, Tiia Laurila, Nina Sarnela, Roseline C. Thakur, Branka Miljevic, Markku Kulmala, Tuukka Petäjä, Mikko Sipilä, Julia Schmale, and Tuija Jokinen
Atmos. Chem. Phys., 24, 12595–12621, https://doi.org/10.5194/acp-24-12595-2024, https://doi.org/10.5194/acp-24-12595-2024, 2024
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We analyze the seasonal cycle and sources of gases that are relevant for the formation of aerosol particles in the central Arctic. Since theses gases can form new particles, they can influence Arctic climate. We show that the sources of these gases are associated with changes in the Arctic environment during the year, especially with respect to sea ice. Therefore, the concentration of these gases will likely change in the future as the Arctic continues to warm.
Fan Mei, Qi Zhang, Damao Zhang, Jerome Fast, Gourihar Kulkarni, Mikhail Pekour, Christopher Niedek, Susanne Glienke, Isarel Silber, Beat Schmid, Jason Tomlinson, Hardeep Mehta, Xena Mansoura, Zezhen Cheng, Gregory Vandergrift, Nurun Nahar Lata, Swarup China, and Zihua Zhu
EGUsphere, https://doi.org/10.5194/egusphere-2024-3089, https://doi.org/10.5194/egusphere-2024-3089, 2024
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This study highlights the unique capability of the ArcticShark UAS in measuring vertically resolved atmospheric properties over the Southern Great Plains. Data from 32 research flights in 2023 reveal seasonal patterns and correlations with conventional measurements. The consistency and complementarity of in situ and remote sensing methods are highlighted. The study demonstrates the ArcticShark’s versatility in bridging data gaps and improving the understanding of vertical atmospheric structures.
Imad El Haddad, Danielle Vienneau, Kaspar R. Daellenbach, Robin Modini, Jay G. Slowik, Abhishek Upadhyay, Petros N. Vasilakos, David Bell, Kees de Hoogh, and Andre S. H. Prevot
Atmos. Chem. Phys., 24, 11981–12011, https://doi.org/10.5194/acp-24-11981-2024, https://doi.org/10.5194/acp-24-11981-2024, 2024
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This opinion paper explores how advances in aerosol science inform our understanding of the health impacts of outdoor particulate pollution. We advocate for a shift in the way we target PM pollution, focusing on the most harmful anthropogenic emissions. We highlight key observations, modelling developments, and emission measurements needed to achieve this shift.
Pramod Kumar, Khushboo Sharma, Ankita Malu, Rajeev Rajak, Aparna Gupta, Bidyutjyoti Baruah, Shailesh Yadav, Thupstan Angchuk, Jayant Sharma, Rakesh Kumar Ranjan, Anil Kumar Misra, and Nishchal Wanjari
Atmos. Chem. Phys., 24, 11585–11601, https://doi.org/10.5194/acp-24-11585-2024, https://doi.org/10.5194/acp-24-11585-2024, 2024
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This work monitors and assesses air pollution, especially black and brown carbon, its controlling factor, and its effect on the environment of Sikkim Himalayan region. The huge urban sprawl in recent decades has led to regional human-induced air pollution in the region. Black carbon was highest in April 2021 and March 2022, exceeding the WHO limit. The monsoon season causes huge rainfall over the region, which reduces the pollutants by scavenging (rainout and washout).
Maria P. Velásquez-García, K. Santiago Hernández, James A. Vergara-Correa, Richard J. Pope, Miriam Gómez-Marín, and Angela M. Rendón
Atmos. Chem. Phys., 24, 11497–11520, https://doi.org/10.5194/acp-24-11497-2024, https://doi.org/10.5194/acp-24-11497-2024, 2024
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In the Aburrá Valley, northern South America, local emissions determine air quality conditions. However, we found that external sources, such as regional fires, Saharan dust, and volcanic emissions, increase particulate concentrations and worsen chemical composition by introducing elements like heavy metals. Dry winds and source variability contribute to seasonal influences on these events. This study assesses the air quality risks posed by such events, which can affect broad regions worldwide.
Diana L. Pereira, Chiara Giorio, Aline Gratien, Alexander Zherebker, Gael Noyalet, Servanne Chevaillier, Stéphanie Alage, Elie Almarj, Antonin Bergé, Thomas Bertin, Mathieu Cazaunau, Patrice Coll, Ludovico Di Antonio, Sergio Harb, Johannes Heuser, Cécile Gaimoz, Oscar Guillemant, Brigitte Language, Olivier Lauret, Camilo Macias, Franck Maisonneuve, Bénédicte Picquet-Varrault, Raquel Torres, Sylvain Triquet, Pascal Zapf, Lelia Hawkins, Drew Pronovost, Sydney Riley, Pierre-Marie Flaud, Emilie Perraudin, Pauline Pouyes, Eric Villenave, Alexandre Albinet, Olivier Favez, Robin Aujay-Plouzeau, Vincent Michoud, Christopher Cantrell, Manuela Cirtog, Claudia Di Biagio, Jean-François Doussin, and Paola Formenti
EGUsphere, https://doi.org/10.5194/egusphere-2024-3015, https://doi.org/10.5194/egusphere-2024-3015, 2024
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In order to study aerosols in environments influenced by anthropogenic and biogenic emissions, we performed analysis of samples collected during ACROSS (Atmospheric Chemistry Of the Suburban Forest) campaign in the summer 2022 in the Paris greater area. After analysis of the chemical composition by means of total carbon determination and high resolution mass spectrometry, this work highlights the influence of anthropogenic inputs into the chemical composition of both urban and forested areas.
Meng Wang, Qiyuan Wang, Steven Sai Hang Ho, Jie Tian, Yong Zhang, Shun-cheng Lee, and Junji Cao
Atmos. Chem. Phys., 24, 11175–11189, https://doi.org/10.5194/acp-24-11175-2024, https://doi.org/10.5194/acp-24-11175-2024, 2024
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We studied nitrogen-containing organic compounds (NOCs) in particulate matter <2.5 µm particles on the southeastern Tibetan Plateau. We found that biomass burning and transboundary transport are the main sources of NOCs in the high-altitude area. Understanding these aerosol sources informs how they add to regional and potentially global climate changes. Our findings could help shape effective environmental policies to enhance air quality and address climate impacts in this sensitive region.
Yi-Jia Ma, Yu Xu, Ting Yang, Lin Gui, Hong-Wei Xiao, Hao Xiao, and Hua-Yun Xiao
EGUsphere, https://doi.org/10.5194/egusphere-2024-2602, https://doi.org/10.5194/egusphere-2024-2602, 2024
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The abundance, potential precursors, and main formation mechanisms of NOCs in PM2.5 during winter were compared among cities with different energy consumption. We found that the aerosol NOC pollution during winter is closely associated with the intensity of precursor emissions and the efficiency of aqueous-phase processes in converting these emissions into NOCs. The overall results highlight the importance of emission reduction strategies in controlling aerosol NOCs pollution during winter.
Kimmo Teinilä, Sanna Saarikoski, Henna Lintusaari, Teemu Lepistö, Petteri Marjanen, Minna Aurela, Heidi Hellén, Toni Tykkä, Markus Lampimäki, Janne Lampilahti, Luis Barreira, Timo Mäkelä, Leena Kangas, Juha Hatakka, Sami Harni, Joel Kuula, Jarkko V. Niemi, Harri Portin, Jaakko Yli-Ojanperä, Ville Niemelä, Milja Jäppi, Katrianne Lehtipalo, Joonas Vanhanen, Liisa Pirjola, Hanna E. Manninen, Tuukka Petäjä, Topi Rönkkö, and Hilkka Timonen
EGUsphere, https://doi.org/10.5194/egusphere-2024-2235, https://doi.org/10.5194/egusphere-2024-2235, 2024
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Physical and chemical properties of particulate matter and concentrations of trace gases were measured in a street canyon in Helsinki, Finland and an urban background site in January–February 2022 to investigate the effect of wintertime conditions on pollutants. State-of-the-art instruments, a mobile laboratory was used, and the measurement data was further analysed with modelling tools like positive matrix factorization (PMF) and pollution detection algorithm (PDA).
Jinbo Wang, Jiaping Wang, Yuxuan Zhang, Tengyu Liu, Xuguang Chi, Xin Huang, Dafeng Ge, Shiyi Lai, Caijun Zhu, Lei Wang, Qiaozhi Zha, Ximeng Qi, Wei Nie, Congbin Fu, and Aijun Ding
Atmos. Chem. Phys., 24, 11063–11080, https://doi.org/10.5194/acp-24-11063-2024, https://doi.org/10.5194/acp-24-11063-2024, 2024
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In this study, we found large spatial discrepancies in the physical and chemical properties of black carbon over the Tibetan Plateau (TP). Elevated anthropogenic emissions from low-altitude regions can significantly change the mass concentration, mixing state and chemical composition of black-carbon-containing aerosol in the TP region, further altering its light absorption ability. Our study emphasizes the vulnerability of remote plateau regions to intense anthropogenic influences.
Liyuan Zhou, Qianyun Liu, Christian M. Salvador, Michael Le Breton, Mattias Hallquist, Jian Zhen Yu, Chak K. Chan, and Åsa M. Hallquist
Atmos. Chem. Phys., 24, 11045–11061, https://doi.org/10.5194/acp-24-11045-2024, https://doi.org/10.5194/acp-24-11045-2024, 2024
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Our research on city bus emissions reveals that alternative fuels (compressed natural gas and biofuels) reduce fresh particle emissions compared to diesel. However, all fuels lead to secondary air pollution. Aiming at guiding better environmental policies, we studied 76 buses using advanced emission measurement techniques. This work sheds light on the complex effects of bus fuels on urban air quality, emphasizing the need for comprehensive evaluations of future transportation technologies.
Xu Yang, Fobang Liu, Shuqi Yang, Yuling Yang, Yanan Wang, Jingjing Li, Mingyu Zhao, Zhao Wang, Kai Wang, Chi He, and Haijie Tong
Atmos. Chem. Phys., 24, 11029–11043, https://doi.org/10.5194/acp-24-11029-2024, https://doi.org/10.5194/acp-24-11029-2024, 2024
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A study in the rural North China Plain showed environmentally persistent free radicals (EPFRs) in atmospheric particulate matter (PM), with a notable water-soluble fraction likely from atmospheric oxidation during transport. Significant positive correlations between EPFRs and the water-soluble oxidative potential of PM2.5 were found, primarily attributable to the water-soluble fractions of EPFRs. These findings emphasize understanding EPFRs' atmospheric evolution for climate and health impacts.
Kirsten N. Fossum, Chunshui Lin, Niall O'Sullivan, Lu Lei, Stig Hellebust, Darius Ceburnis, Aqeel Afzal, Anja Tremper, David Green, Srishti Jain, Steigvilė Byčenkienė, Colin O'Dowd, John Wenger, and Jurgita Ovadnevaite
Atmos. Chem. Phys., 24, 10815–10831, https://doi.org/10.5194/acp-24-10815-2024, https://doi.org/10.5194/acp-24-10815-2024, 2024
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The chemical composition and sources of submicron aerosol in the Dublin Port area were investigated over a month-long campaign. Two distinct types of ship emissions were identified and characterised: sulfate-rich plumes from the use of heavy fuel oil with scrubbers and organic-rich plumes from the use of low-sulfur fuels. The latter were more frequent, emitting double the particle number and having a typical V / Ni ratio for ship emission.
Xiao He, Xuan Zheng, Shuwen Guo, Lewei Zeng, Ting Chen, Bohan Yang, Shupei Xiao, Qiongqiong Wang, Zhiyuan Li, Yan You, Shaojun Zhang, and Ye Wu
Atmos. Chem. Phys., 24, 10655–10666, https://doi.org/10.5194/acp-24-10655-2024, https://doi.org/10.5194/acp-24-10655-2024, 2024
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This study introduces an innovative method for identifying and quantifying complex organic vapors and aerosols. By combining advanced analytical techniques and new algorithms, we categorized thousands of compounds from heavy-duty diesel vehicles and ambient air and highlighted specific tracers for emission sources. The innovative approach enhances peak identification, reduces quantification uncertainties, and offers new insights for air quality management and atmospheric chemistry.
Emmanuel Chevassus, Kirsten N. Fossum, Darius Ceburnis, Lu Lei, Chunshui Lin, Wei Xu, Colin D. O’ Dowd, and Jurgita Ovadnevaite
EGUsphere, https://doi.org/10.5194/egusphere-2024-2890, https://doi.org/10.5194/egusphere-2024-2890, 2024
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This study presents the first source apportionment of OA at Mace Head via high-resolution mass spectrometry. Introducing transfer entropy as a novel method reveals that aged OA originate from open ocean ozonolysis and local peat burning oxidation. Methanesulphonic acid OA and primary marine OA both mirror phytoplankton activity as observed with their chemical makeup, with MSA-OA closely tied to coccolithophore blooms and PMOA linked to diatoms, chlorophytes, and cyanobacteria.
Yu Xu, Tang Liu, Yi-Jia Ma, Qi-Bin Sun, Hong-Wei Xiao, Hao Xiao, Hua-Yun Xiao, and Cong-Qiang Liu
Atmos. Chem. Phys., 24, 10531–10542, https://doi.org/10.5194/acp-24-10531-2024, https://doi.org/10.5194/acp-24-10531-2024, 2024
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This study investigates the characteristics of aminiums and ammonium in PM2.5 on clean and polluted winter days in 11 Chinese cities, highlighting the possibility of the competitive uptake of ammonia versus amines on acidic aerosols or the displacement of aminiums by ammonia under high-ammonia conditions. The overall results deepen the understanding of the spatiotemporal differences in aminium characteristics and formation in China.
Cassidy Soloff, Taiwo Ajayi, Yonghoon Choi, Ewan C. Crosbie, Joshua P. DiGangi, Glenn S. Diskin, Marta A. Fenn, Richard A. Ferrare, Francesca Gallo, Johnathan W. Hair, Miguel Ricardo A. Hilario, Simon Kirschler, Richard H. Moore, Taylor J. Shingler, Michael A. Shook, Kenneth L. Thornhill, Christiane Voigt, Edward L. Winstead, Luke D. Ziemba, and Armin Sorooshian
Atmos. Chem. Phys., 24, 10385–10408, https://doi.org/10.5194/acp-24-10385-2024, https://doi.org/10.5194/acp-24-10385-2024, 2024
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Using aircraft measurements over the northwestern Atlantic between the US East Coast and Bermuda and trajectory modeling of continental outflow, we identify trace gas and particle properties that exhibit gradients with offshore distance and quantify these changes with high-resolution measurements of concentrations and particle chemistry, size, and scattering properties. This work furthers our understanding of the complex interactions between continental and marine environments.
Alex Rowell, James Brean, David C. S. Beddows, Zongbo Shi, Avinash Kumar, Matti Rissanen, Miikka Dal Maso, Peter Mettke, Kay Weinhold, Maik Merkel, and Roy M. Harrison
Atmos. Chem. Phys., 24, 10349–10361, https://doi.org/10.5194/acp-24-10349-2024, https://doi.org/10.5194/acp-24-10349-2024, 2024
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Ions enhance the formation and growth rates of new particles, affecting the Earth's radiation budget. Despite these effects, there is little published data exploring the sources of ions in the urban environment and their role in new particle formation (NPF). Here we show that natural ion sources dominate in urban environments, while traffic is a secondary source. Ions contribute up to 12.7 % of the formation rate of particles, indicating that they are important for forming urban PM.
Ye Kuang, Biao Luo, Shan Huang, Junwen Liu, Weiwei Hu, Yuweng Peng, Duohong Chen, Dingli Yue, Wanyun Xu, Bin Yuan, and Min Shao
EGUsphere, https://doi.org/10.5194/egusphere-2024-2654, https://doi.org/10.5194/egusphere-2024-2654, 2024
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This research reveals the potential importance of nighttime NO3 radical chemistry and aerosol water in the rapid formation of secondary brown carbon from biomass burning emissions. The findings enhance our understanding of nighttime biomass burning evolution and its implications for climate and regional air quality, especially regarding interactions with aerosol water and water-rich fogs and clouds.
Yuan Cheng, Xu-bing Cao, Sheng-qiang Zhu, Zhi-qing Zhang, Jiu-meng Liu, Hong-liang Zhang, Qiang Zhang, and Ke-bin He
Atmos. Chem. Phys., 24, 9869–9883, https://doi.org/10.5194/acp-24-9869-2024, https://doi.org/10.5194/acp-24-9869-2024, 2024
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The agreement between observational and modeling results is essential for the development of efficient air pollution control strategies. Here we constrained the modeling results of carbonaceous aerosols by field observation in Northeast China, a historically overlooked but recently targeted region of national clean-air actions. Our study suggested that the simulation of agricultural fire emissions and secondary organic aerosols remains challenging.
Yuan Dai, Junfeng Wang, Houjun Wang, Shijie Cui, Yunjiang Zhang, Haiwei Li, Yun Wu, Ming Wang, Eleonora Aruffo, and Xinlei Ge
Atmos. Chem. Phys., 24, 9733–9748, https://doi.org/10.5194/acp-24-9733-2024, https://doi.org/10.5194/acp-24-9733-2024, 2024
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Short-term strict emission control can improve air quality, but its effectiveness needs assessment. During the 2021 summer COVID-19 lockdown in Yangzhou, we found that PM2.5 levels did not decrease despite reduced primary emissions. Aged black-carbon particles increased substantially due to higher O3 levels and transported pollutants. High humidity and low wind also played key roles. The results highlight the importance of a regionally balanced control strategy for future air quality management.
Xinya Liu, Diego Alves Gouveia, Bas Henzing, Arnoud Apituley, Arjan Hensen, Danielle van Dinther, Rujin Huang, and Ulrike Dusek
Atmos. Chem. Phys., 24, 9597–9614, https://doi.org/10.5194/acp-24-9597-2024, https://doi.org/10.5194/acp-24-9597-2024, 2024
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The vertical distribution of aerosol optical properties is important for their effect on climate. This is usually measured by lidar, which has limitations, most notably the assumption of a lidar ratio. Our study shows that routine surface-level aerosol measurements are able to predict this lidar ratio reasonably well within the lower layers of the atmosphere and thus provide a relatively simple and cost-effective method to improve lidar measurements.
Weiqi Xu, Ye Kuang, Wanyun Xu, Zhiqiang Zhang, Biao Luo, Xiaoyi Zhang, Jiangchuang Tao, Hongqin Qiao, Li Liu, and Yele Sun
Atmos. Chem. Phys., 24, 9387–9399, https://doi.org/10.5194/acp-24-9387-2024, https://doi.org/10.5194/acp-24-9387-2024, 2024
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We deployed an advanced aerosol–fog sampling system at a rural site in the North China Plain to investigate impacts of aerosol hygroscopic growth and activation on the physicochemical properties of submicron aerosols. Observed results highlighted remarkably different aqueous processing of primary and secondary submicron aerosol components under distinct ambient relative humidity (RH) conditions and that RH levels significantly impact aerosol sampling through the aerosol swelling effect.
Can Wu, Xiaodi Liu, Ke Zhang, Si Zhang, Cong Cao, Jianjun Li, Rui Li, Fan Zhang, and Gehui Wang
Atmos. Chem. Phys., 24, 9263–9275, https://doi.org/10.5194/acp-24-9263-2024, https://doi.org/10.5194/acp-24-9263-2024, 2024
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Brown carbon (BrC) is prevalent in the troposphere and can efficiently absorb solar and terrestrial radiation. Our observations show that the enhanced light absorption of BrC relative to black carbon at the tropopause can be attributed to the formation of nitrogen-containing organic compounds through the aqueous-phase reactions of carbonyls with ammonium.
Taiwo Ajayi, Yonghoon Choi, Ewan C. Crosbie, Joshua P. DiGangi, Glenn S. Diskin, Marta A. Fenn, Richard A. Ferrare, Johnathan W. Hair, Miguel Ricardo A. Hilario, Chris A. Hostetler, Simon Kirschler, Richard H. Moore, Taylor J. Shingler, Michael A. Shook, Cassidy Soloff, Kenneth L. Thornhill, Christiane Voigt, Edward L. Winstead, Luke D. Ziemba, and Armin Sorooshian
Atmos. Chem. Phys., 24, 9197–9218, https://doi.org/10.5194/acp-24-9197-2024, https://doi.org/10.5194/acp-24-9197-2024, 2024
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This study uses airborne data to examine vertical profiles of trace gases, aerosol particles, and meteorological variables over a remote marine area (Bermuda). Results show distinct differences based on both air mass source region (North America, Ocean, Caribbean/North Africa) and altitude for a given air mass type. This work highlights the sensitivity of remote marine areas to long-range transport and the importance of considering the vertical dependence of trace gas and aerosol properties.
Guilherme Martins Pereira, Leonardo Yoshiaki Kamigauti, Rubens Fabio Pereira, Djacinto Monteiro dos Santos, Thayná da Silva Santos, José Vinicius Martins, Célia Alves, Cátia Gonçalves, Ismael Casotti Rienda, Nora Kováts, Thiago Nogueira, Luciana Rizzo, Paulo Artaxo, Regina Maura de Miranda, Marcia Akemi Yamasoe, Edmilson Dias de Freitas, Pérola de Castro Vasconcellos, and Maria de Fatima Andrade
EGUsphere, https://doi.org/10.5194/egusphere-2024-2212, https://doi.org/10.5194/egusphere-2024-2212, 2024
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The chemical composition of fine particulate matter was studied in the megacity of São Paulo (Brazil) during a polluted period. Vehicular-related sources were dominant; however, a high contribution of biomass burning was observed and correlated with sample ecotoxicity. Emerging biomass burning sources, such as forest fires and sugarcane bagasse-based power plants, highlight the need for additional control measures alongside stricter rules concerning vehicular emissions.
Kira Zeider, Grace Betito, Anthony Bucholtz, Peng Xian, Annette Walker, and Armin Sorooshian
Atmos. Chem. Phys., 24, 9059–9083, https://doi.org/10.5194/acp-24-9059-2024, https://doi.org/10.5194/acp-24-9059-2024, 2024
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The predominant wind direction along the California coast (northerly) reverses several times during the summer (to southerly). The effects of these wind reversals on aerosol and cloud characteristics are not well understood. Using data from multiple datasets we found that southerly flow periods had enhanced signatures of anthropogenic emissions due to shipping and continental sources, and clouds had more but smaller droplets.
Saleh Alzahrani, Doğuşhan Kılıç, Michael Flynn, Paul I. Williams, and James Allan
Atmos. Chem. Phys., 24, 9045–9058, https://doi.org/10.5194/acp-24-9045-2024, https://doi.org/10.5194/acp-24-9045-2024, 2024
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This paper investigates emissions from aviation activities at an international airport to evaluate their impact on local air quality. The study provides detailed insights into the chemical composition of aerosols and key pollutants in the airport environment. Source apportionment analysis using positive matrix factorisation (PMF) identified three significant sources: less oxidised oxygenated organic aerosol, alkane organic aerosol, and more oxidised oxygenated organic aerosol.
Mikko Heikkilä, Krista Luoma, Timo Mäkelä, and Tiia Grönholm
Atmos. Chem. Phys., 24, 8927–8941, https://doi.org/10.5194/acp-24-8927-2024, https://doi.org/10.5194/acp-24-8927-2024, 2024
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Black carbon (BC) concentration was measured from 211 ship exhaust gas plumes at a remote marine station. Emission factors of BC were calculated in grams per kilogram of fuel. Ships with an exhaust gas cleaning system (EGCS) were found to have median BC emissions per fuel consumed 5 times lower than ships without an EGCS. However, this might be because of non-EGCS ships running at low engine loads rather than the EGCS itself. A local speed restriction would increase BC emissions of ships.
Olga Zografou, Maria Gini, Prodromos Fetfatzis, Konstantinos Granakis, Romanos Foskinis, Manousos Ioannis Manousakas, Fotios Tsopelas, Evangelia Diapouli, Eleni Dovrou, Christina N. Vasilakopoulou, Alexandros Papayannis, Spyros N. Pandis, Athanasios Nenes, and Konstantinos Eleftheriadis
Atmos. Chem. Phys., 24, 8911–8926, https://doi.org/10.5194/acp-24-8911-2024, https://doi.org/10.5194/acp-24-8911-2024, 2024
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Characterization of PM1 and positive matrix factorization (PMF) source apportionment of organic and inorganic fractions were conducted at the high-altitude station (HAC)2. Cloud presence reduced PM1, affecting sulfate more than organics. Free-troposphere (FT) conditions showed more black carbon (eBC) than planetary boundary layer (PBL) conditions.
Yuanyuan Qin, Xinghua Zhang, Wei Huang, Juanjuan Qin, Xiaoyu Hu, Yuxuan Cao, Tianyi Zhao, Yang Zhang, Jihua Tan, Ziyin Zhang, Xinming Wang, and Zhenzhen Wang
Atmos. Chem. Phys., 24, 8737–8750, https://doi.org/10.5194/acp-24-8737-2024, https://doi.org/10.5194/acp-24-8737-2024, 2024
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Environmental persistent free radicals (EPFRs) and reactive oxygen species (ROSs) play an active role in the atmosphere. Despite control measures having effectively reduced their emissions, reductions were less than in PM2.5. Emission control measures performed well in achieving Parade Blue, but reducing the impact of the atmosphere on human health remains challenging. Thus, there is a need to reassess emission control measures to better address the challenges posed by EPFRs and ROSs.
Fenghua Wei, Xing Peng, Liming Cao, Mengxue Tang, Ning Feng, Xiaofeng Huang, and Lingyan He
Atmos. Chem. Phys., 24, 8507–8518, https://doi.org/10.5194/acp-24-8507-2024, https://doi.org/10.5194/acp-24-8507-2024, 2024
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The water solubility of secondary organic aerosols (SOAs) is a crucial factor in determining their hygroscopicity and climatic impact. Stable carbon isotope and mass spectrometry techniques were combined to assess the water solubility of SOAs with different aging degrees in a coastal megacity in China. This work revealed a much higher water-soluble fraction of aged SOA compared to fresh SOA, indicating that the aging degree of SOA has considerable impacts on its water solubility.
Cited articles
Abderrahim, H., Chellali, M. R., and Hamou, A.: Forecasting PM10 in Algiers: efficacy of multilayer perceptron networks, Environ. Sci. Pollut. R., 23, 1634–1641, https://doi.org/10.1007/s11356-015-5406-6, 2016.
Aksoyoglu, S., Ciarelli, G., El-Haddad, I., Baltensperger, U., and Prévôt, A. S. H.: Secondary inorganic aerosols in Europe: sources and the significant influence of biogenic VOC emissions, especially on ammonium nitrate, Atmos. Chem. Phys., 17, 7757–7773, https://doi.org/10.5194/acp-17-7757-2017, 2017.
Arangio, A. M., Tong, H., Socorro, J., Pöschl, U., and Shiraiwa, M.: Quantification of environmentally persistent free radicals and reactive oxygen species in atmospheric aerosol particles, Atmos. Chem. Phys., 16, 13105–13119, https://doi.org/10.5194/acp-16-13105-2016, 2016.
Argyropoulos, G., Besis, A., Voutsa, D., Samara, C., Sowlat, M. H., Hasheminassab, S., and Sioutas, C.: Source apportionment of the redox activity of urban quasi-ultrafine particles (PM0.49) in Thessaloniki following the increased biomass burning due to the economic crisis in Greece, Sci. Total Environ., 568, 124–136, https://doi.org/10.1016/j.scitotenv.2016.05.217, 2016.
Ayres, J. G., Borm, P., Cassee, F. R., Castranova, V., Donaldson, K., Ghio, A., Harrison, R. M., Hider, R., Kelly, F., Kooter, I. M., Marano, F., Maynard, R. L., Mudway, I., Nel, A., Sioutas, C., Smith, S., Baeza-Squiban, A., Cho, A., Duggan, S., and Froines, J.: Evaluating the Toxicity of Airborne Particulate Matter and Nanoparticles by Measuring Oxidative Stress Potential – A Workshop Report and Consensus Statement, Inhal. Toxicol., 20, 75–99, https://doi.org/10.1080/08958370701665517, 2008.
Bates, J. T., Weber, R. J., Abrams, J., Verma, V., Fang, T., Klein, M., Strickland, M. J., Sarnat, S. E., Chang, H. H., Mulholland, J. A., Tolbert, P. E., and Russell, A. G.: Reactive Oxygen Species Generation Linked to Sources of Atmospheric Particulate Matter and Cardiorespiratory Effects, Environ. Sci. Technol., 49, 13605–13612, https://doi.org/10.1021/acs.est.5b02967, 2015.
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.
Baulig, A., Garlatti, M., Bonvallot, V., Marchand, A., Barouki, R., Marano, F., and Baeza-Squiban, A.: Involvement of reactive oxygen species in the metabolic pathways triggered by diesel exhaust particles in human airway epithelial cells, Am. J. Physiol.-Lung C., 285, L671–L679, https://doi.org/10.1152/ajplung.00419.2002, 2003.
Belis, C. A., Pikridas, M., Lucarelli, F., Petralia, E., Cavalli, F., Calzolai, G., Berico, M., and Sciare, J.: Source apportionment of fine PM by combining high time resolution organic and inorganic chemical composition datasets, Atmos. Environ.-X, 3, 100046, https://doi.org/10.1016/j.aeaoa.2019.100046, 2019.
Bell, M. L. and HEI Health Review Committee: Assessment of the health impacts of particulate matter characteristics, Res. Rep. Health Eff. Inst, 161, 5–38, 2012.
Bengio, Y., Simard, P., and Frasconi, P.: Learning long-term dependencies with gradient descent is difficult, IEEE T. Neural Networ., 5, 157–166, https://doi.org/10.1109/72.279181, 1994.
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.
Bishop, C. M.: Neural networks for pattern recognition, Clarendon Press, Oxford University Press, Oxford, New York, 482 pp., 1995.
Boogaard, H., Janssen, N. A. H., Fischer, P. H., Kos, G. P. A., Weijers, E. P., Cassee, F. R., van der Zee, S. C., de Hartog, J. J., Brunekreef, B., and Hoek, G.: Contrasts in Oxidative Potential and Other Particulate Matter Characteristics Collected Near Major Streets and Background Locations, Environ. Health Persp., 120, 185–191, https://doi.org/10.1289/ehp.1103667, 2012.
Boppana, V. B. L., Wise, D. J., Ooi, C. C., Zhmayev, E., and Poh, H. J.: CFD assessment on particulate matter filters performance in urban areas, Sustain. Cities Soc., 46, 101376, https://doi.org/10.1016/j.scs.2018.12.004, 2019.
Borlaza, L. J. S., Cosep, E. M. R., Kim, S., Lee, K., Joo, H., Park, M., Bate, D., Cayetano, M. G., and Park, K.: Oxidative potential of fine ambient particles in various environments, Environ. Pollut., 243, 1679–1688, https://doi.org/10.1016/j.envpol.2018.09.074, 2018.
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, 2021.
Boyd, C. M., Nah, T., Xu, L., Berkemeier, T., and Ng, N. L.: Secondary Organic Aerosol (SOA) from Nitrate Radical Oxidation of Monoterpenes: Effects of Temperature, Dilution, and Humidity on Aerosol Formation, Mixing, and Evaporation, Environ. Sci. Technol., 51, 7831–7841, https://doi.org/10.1021/acs.est.7b01460, 2017.
Brown, S. G., Eberly, S., Paatero, P., and Norris, G. A.: Methods for estimating uncertainty in PMF solutions: Examples with ambient air and water quality data and guidance on reporting PMF results, Sci. Total Environ., 518–519, 626–635, https://doi.org/10.1016/j.scitotenv.2015.01.022, 2015.
Cabaneros, S. M., Calautit, J. K., and Hughes, B. R.: A review of artificial neural network models for ambient air pollution prediction, Environ. Modell. Softw., 119, 285–304, https://doi.org/10.1016/j.envsoft.2019.06.014, 2019.
Cabaneros, S. M., Calautit, J. K., and Hughes, B.: Short- and long-term forecasting of ambient air pollution levels using wavelet-based non-linear autoregressive artificial neural networks with exogenous inputs, International Journal of Environmental Impacts, 3, 143–154, https://doi.org/10.2495/EI-V3-N2-143-154, 2020.
Cabaneros, S. M. S., Calautit, J. K. S., and Hughes, B. R.: Hybrid Artificial Neural Network Models for Effective Prediction and Mitigation of Urban Roadside NO2 Pollution, Energy Proced., 142, 3524–3530, https://doi.org/10.1016/j.egypro.2017.12.240, 2017.
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, Scientific Reports, 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.
Calcagno, G., Staiano, A., Fortunato, G., Brescia-Morra, V., Salvatore, E., Liguori, R., Capone, S., Filla, A., Longo, G., and Sacchetti, L.: A multilayer perceptron neural network-based approach for the identification of responsiveness to interferon therapy in multiple sclerosis patients, Inform. Sciences, 180, 4153–4163, https://doi.org/10.1016/j.ins.2010.07.004, 2010.
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.
CEN: Ambient air – Standard gravimetric measurement method for the determination of the PM10 or PM2.5 mass concentration of suspended particulate matter, CEN, Brussels, Belgium, 2014.
CEN: Ambient air – Standard method for measurement of , , Cl−, , Na+, K+, Mg2+, Ca2+ in PM2.5 as deposited on filters, CEN, Brussels, Belgium, 2017.
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.
Chaloulakou, A., Grivas, G., and Spyrellis, N.: Neural Network and Multiple Regression Models for PM10 Prediction in Athens: A Comparative Assessment, JAPCA J. Air Waste Ma., 53, 1183–1190, https://doi.org/10.1080/10473289.2003.10466276, 2003.
Charrier, J. G. and Anastasio, C.: Rates of Hydroxyl Radical Production from Transition Metals and Quinones in a Surrogate Lung Fluid, Environ. Sci. Technol., 49, 9317–9325, https://doi.org/10.1021/acs.est.5b01606, 2015.
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.
Chattopadhyay, S. and Bandyopadhyay, G.: Artificial neural network with backpropagation learning to predict mean monthly total ozone in Arosa, Switzerland, Int. J. Remote Sens., 28, 4471–4482, https://doi.org/10.1080/01431160701250440, 2007.
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.
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, Environ. Pollut., 230, 125–133, https://doi.org/10.1016/j.envpol.2017.06.051, 2017.
Dabass, A., Talbott, E. O., Rager, J. R., Marsh, G. M., Venkat, A., Holguin, F., and Sharma, R. K.: Systemic inflammatory markers associated with cardiovascular disease and acute and chronic exposure to fine particulate matter air pollution (PM2.5) among US NHANES adults with metabolic syndrome, Environ. Res., 161, 485–491, https://doi.org/10.1016/j.envres.2017.11.042, 2018.
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.
Daher, N., Saliba, N. A., Shihadeh, A. L., Jaafar, M., Baalbaki, R., Shafer, M. M., Schauer, J. J., and Sioutas, C.: Oxidative potential and chemical speciation of size-resolved particulate matter (PM) at near-freeway and urban background sites in the greater Beirut area, Sci. Total Environ., 470–471, 417–426, https://doi.org/10.1016/j.scitotenv.2013.09.104, 2014.
David, L. M., Ravishankara, A. R., Kodros, J. K., Pierce, J. R., Venkataraman, C., and Sadavarte, P.: Premature Mortality Due to PM2.5 Over India: Effect of Atmospheric Transport and Anthropogenic Emissions, GeoHealth, 3, 2–10, https://doi.org/10.1029/2018GH000169, 2019.
Delfino, R. J., Sioutas, C., and Malik, S.: Potential Role of Ultrafine Particles in Associations between Airborne Particle Mass and Cardiovascular Health, Environ. Health Persp., 113, 934–946, https://doi.org/10.1289/ehp.7938, 2005.
Dhalla, N. S., Temsah, R. M., and Netticadan, T.: Role of oxidative stress in cardiovascular diseases, J. Hypertens., 18, 655–673, https://doi.org/10.1097/00004872-200018060-00002, 2000.
Díaz-Robles, L. A., Ortega, J. C., Fu, J. S., Reed, G. D., Chow, J. C., Watson, J. G., and Moncada-Herrera, J. A.: A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile, Atmos. Environ., 42, 8331–8340, https://doi.org/10.1016/j.atmosenv.2008.07.020, 2008.
Dionisio, K. L., Arku, R. E., Hughes, A. F., Vallarino, J., Carmichael, H., Spengler, J. D., Agyei-Mensah, S., and Ezzati, M.: Air pollution in Accra neighborhoods: spatial, socioeconomic, and temporal patterns, Environ. Sci. Technol., 44, 2270–2276, https://doi.org/10.1021/es903276s, 2010.
Donaldson, K., Stone, V., Seaton, A., and MacNee, W.: Ambient Particle Inhalation and the Cardiovascular System: Potential Mechanisms, Environ. Health Persp., 109, 523, https://doi.org/10.2307/3454663, 2001.
Dorling, S. R., Foxall, R. J., Mandic, D. P., and Cawley, G. C.: Maximum likelihood cost functions for neural network models of air quality data, Atmos. Environ., 37, 3435–3443, https://doi.org/10.1016/S1352-2310(03)00323-6, 2003.
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.
Du, Y., Xu, X., Chu, M., Guo, Y., and Wang, J.: Air particulate matter and cardiovascular disease: the epidemiological, biomedical and clinical evidence, J. Thorac. Dis., 8, E8–E19, https://doi.org/10.3978/j.issn.2072-1439.2015.11.37, 2016.
Elangasinghe, M. A., Singhal, N., Dirks, K. N., and Salmond, J. A.: Development of an ANN–based air pollution forecasting system with explicit knowledge through sensitivity analysis, Atmos. Pollut. Res., 5, 696–708, https://doi.org/10.5094/APR.2014.079, 2014.
Eldakhly, N. M., Aboul-Ela, M., and Abdalla, A.: Air Pollution Forecasting Model Based on Chance Theory and Intelligent Techniques, Int. J. Artif. Intell. T., 26, 1750024, https://doi.org/10.1142/S0218213017500245, 2017.
Etyemezian, V., Tesfaye, M., Yimer, A., Chow, J., Mesfin, D., Nega, T., Nikolich, G., Watson, J., and Wondmagegn, M.: Results from a pilot-scale air quality study in Addis Ababa, Ethiopia, Atmos. Environ., 39, 7849–7860, https://doi.org/10.1016/j.atmosenv.2005.08.033, 2005.
Fang, T., Verma, V., Bates, J. T., Abrams, J., Klein, M., Strickland, M. J., Sarnat, S. E., Chang, H. H., Mulholland, J. A., Tolbert, P. E., Russell, A. G., and Weber, R. J.: Oxidative potential of ambient water-soluble PM2.5 in the southeastern United States: contrasts in sources and health associations between ascorbic acid (AA) and dithiothreitol (DTT) assays, Atmos. Chem. Phys., 16, 3865–3879, https://doi.org/10.5194/acp-16-3865-2016, 2016.
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., Salameh, D., and Jaffrezo, J.-L.: Traitement harmonisé de jeux de données multi-sites pour l'étude de sources de PM par Positive Matrix Factorization (PMF), LCSQA, Verneuil-en-Halatte, 2017.
Faxon, C., Hammes, J., Le Breton, M., Pathak, R. K., and Hallquist, M.: Characterization of organic nitrate constituents of secondary organic aerosol (SOA) from nitrate-radical-initiated oxidation of limonene using high-resolution chemical ionization mass spectrometry, Atmos. Chem. Phys., 18, 5467–5481, https://doi.org/10.5194/acp-18-5467-2018, 2018.
Fontes, T., Silva, L. M., Silva, M. P., Barros, N., and Carvalho, A. C.: Can artificial neural networks be used to predict the origin of ozone episodes?, Sci. Total Environ., 488–489, 197–207, https://doi.org/10.1016/j.scitotenv.2014.04.077, 2014.
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 Bio. 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.
García Nieto, P. J., Sánchez Lasheras, F., García-Gonzalo, E., and de Cos Juez, F. J.: PM10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case study, Sci. Total Environ., 621, 753–761, https://doi.org/10.1016/j.scitotenv.2017.11.291, 2018.
Gardner, M. W. and Dorling, S. R.: Artificial neural networks (the multilayer perceptron) – a review of applications in the atmospheric sciences, Atmos. Environ., 32, 2627–2636, https://doi.org/10.1016/S1352-2310(97)00447-0, 1998.
Gerken, W. C., Purvis, L. K., and Butera, R. J.: Genetic algorithm for optimization and specification of a neuron model, Neurocomputing, 69, 1039–1042, https://doi.org/10.1016/j.neucom.2005.12.041, 2006.
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.
Gietl, J. K. and Klemm, O.: Analysis of Traffic and Meteorology on Airborne Particulate Matter in Münster, Northwest Germany, JAPCA J. Air Waste Ma., 59, 809–818, https://doi.org/10.3155/1047-3289.59.7.809, 2009.
Grover, B. D.: Measurement of total PM2.5 mass (nonvolatile plus semivolatile) with the Filter Dynamic Measurement System tapered element oscillating microbalance monitor, J. Geophys. Res., 110, D07S03, https://doi.org/10.1029/2004JD004995, 2005.
Guo, H., Jin, L., and Huang, S.: Effect of PM characterization on PM oxidative potential by acellular assays: a review, Rev. Environ. Health, 35, 461–470, https://doi.org/10.1515/reveh-2020-0003, 2020.
Gupta, P. and Christopher, S. A.: Particulate matter air quality assessment using integrated surface, satellite, and meteorological products: 2. A neural network approach, J. Geophys. Res., 114, D20205, https://doi.org/10.1029/2008JD011497, 2009.
Gurgueira, S. A., Lawrence, J., Coull, B., Murthy, G. G. K., and González-Flecha, B.: Rapid increases in the steady-state concentration of reactive oxygen species in the lungs and heart after particulate air pollution inhalation., Environ. Health Persp., 110, 749–755, https://doi.org/10.1289/ehp.02110749, 2002.
He, H.-D., Lu, W.-Z., and Xue, Y.: Prediction of particulate matters at urban intersection by using multilayer perceptron model based on principal components, Stoch Env. Res. Risk A., 29, 2107–2114, https://doi.org/10.1007/s00477-014-0989-x, 2015.
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.
Hime, N., Marks, G., and Cowie, C.: A Comparison of the Health Effects of Ambient Particulate Matter Air Pollution from Five Emission Sources, Int. J. Env. Res. Pub. He., 15, 1206, https://doi.org/10.3390/ijerph15061206, 2018.
Hochreiter, S.: The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions, Int. J. Uncertain. Fuzz., 6, 107–116, https://doi.org/10.1142/S0218488598000094, 1998.
Hochreiter, S. and Schmidhuber, J.: Long Short-Term Memory, Neural Comput., 9, 1735–1780, https://doi.org/10.1162/neco.1997.9.8.1735, 1997.
Hooyberghs, J., Mensink, C., Dumont, G., Fierens, F., and Brasseur, O.: A neural network forecast for daily average PM concentrations in Belgium, Atmos. Environ., 39, 3279–3289, https://doi.org/10.1016/j.atmosenv.2005.01.050, 2005.
Huang, C.-J. and Kuo, P.-H.: A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities, Sensors, 18, 2220, https://doi.org/10.3390/s18072220, 2018.
IBM: IBM SPSS Neural Networks 24, https://www.ibm.com/support/knowledgecenter/de/SSLVMB_23.0.0/spss/neural_network/idh_idd_mlp_variables.html (21 June 2021), 2016.
Janssen, N. A. H., Yang, A., Strak, M., Steenhof, M., Hellack, B., Gerlofs-Nijland, M. E., Kuhlbusch, T., Kelly, F., Harrison, R., Brunekreef, B., Hoek, G., and Cassee, F.: Oxidative potential of particulate matter collected at sites with different source characteristics, Sci. Total Environ., 472, 572–581, https://doi.org/10.1016/j.scitotenv.2013.11.099, 2014.
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.
Jiang, D., Zhang, Y., Hu, X., Zeng, Y., Tan, J., and Shao, D.: Progress in developing an ANN model for air pollution index forecast, Atmos. Environ., 38, 7055–7064, https://doi.org/10.1016/j.atmosenv.2003.10.066, 2004.
Jin, X., Xue, B., Zhou, Q., Su, R., and Li, Z.: Mitochondrial damage mediated by ROS incurs bronchial epithelial cell apoptosis upon ambient PM2.5 exposure, J. Toxicol. Sci., 43, 101–111, https://doi.org/10.2131/jts.43.101, 2018.
Jovanovic, M. V., Savic, J. Z., Salimi, F., Stevanovic, S., Brown, R. A., Jovasevic-Stojanovic, M., Manojlovic, D., Bartonova, A., Bottle, S., and Ristovski, Z. D.: Measurements of Oxidative Potential of Particulate Matter at Belgrade Tunnel, Comparison of BPEAnit, DTT and DCFH Assays, Int. J. Env. Res. Pub. He., 16, 4906, https://doi.org/10.3390/ijerph16244906, 2019.
Kelly, F. J.: Oxidative stress: its role in air pollution and adverse health effects, Occup. Environ. Med., 60, 612–616, https://doi.org/10.1136/oem.60.8.612, 2003.
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. and Gilley, J. E.: Artificial Neural Network estimation of soil erosion and nutrient concentrations in runoff from land application areas, Comput. Electron. Agr., 64, 268–275, https://doi.org/10.1016/j.compag.2008.05.021, 2008.
Krasnov, H., Kloog, I., Friger, M., and Katra, I.: The Spatio-Temporal Distribution of Particulate Matter during Natural Dust Episodes at an Urban Scale, PLoS ONE, 11, e0160800, https://doi.org/10.1371/journal.pone.0160800, 2016.
Kukkonen, J.: Extensive evaluation of neural network models for the prediction of NO2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki, Atmos. Environ., 37, 4539–4550, https://doi.org/10.1016/S1352-2310(03)00583-1, 2003.
Lao, X. Q., Guo, C., Chang, L., Bo, Y., Zhang, Z., Chuang, Y. C., Jiang, W. K., Lin, C., Tam, T., Lau, A. K. H., Lin, C.-Y., and Chan, T.-C.: Long-term exposure to ambient fine particulate matter (PM2.5) and incident type 2 diabetes: a longitudinal cohort study, Diabetologia, 62, 759–769, https://doi.org/10.1007/s00125-019-4825-1, 2019.
Leni, Z., Cassagnes, L. E., Daellenbach, K. R., El Haddad, I., Vlachou, A., Uzu, G., Prévôt, A. S. H., Jaffrezo, J.-L., Baumlin, N., Salathe, M., Baltensperger, U., Dommen, J., and Geiser, M.: Oxidative stress-induced inflammation in susceptible airways by anthropogenic aerosol, PLoS ONE, 15, e0233425, https://doi.org/10.1371/journal.pone.0233425, 2020.
Li, Y., Zhu, T., Zhao, J., and Xu, B.: Interactive Enhancements of Ascorbic Acid and Iron in Hydroxyl Radical Generation in Quinone Redox Cycling, Environ. Sci. Technol., 46, 10302–10309, https://doi.org/10.1021/es301834r, 2012.
Lin, M. and Yu, J. Z.: Assessment of Interactions between Transition Metals and Atmospheric Organics: Ascorbic Acid Depletion and Hydroxyl Radical Formation in Organic-Metal Mixtures, Environ. Sci. Technol., 54, 1431–1442, https://doi.org/10.1021/acs.est.9b07478, 2020.
Matus, C. P. and Oyarzún G., M.: Impacto del Material Particulado aéreo (MP2,5) sobre las hospitalizaciones por enfermedades respiratorias en niños: estudio caso-control alterno, Revista Chilena de Pediatría, 90, 166, https://doi.org/10.32641/rchped.v90i2.750, 2019.
McKendry, I. G.: Evaluation of Artificial Neural Networks for Fine Particulate Pollution (PM10 and PM2.5) Forecasting, JAPCA J. Air Waste Ma., 52, 1096–1101, https://doi.org/10.1080/10473289.2002.10470836, 2002.
Mudway, I. S., Kelly, F. J., and Holgate, S. T.: Oxidative stress in air pollution research, Free Radical Bio. Med., 151, 2–6, https://doi.org/10.1016/j.freeradbiomed.2020.04.031, 2020.
Nathan, N. S., Saravanane, R., and Sundararajan, T.: Application of ANN and MLR Models on Groundwater Quality Using CWQI at Lawspet, Puducherry in India, Journal of Geoscience and Environment Protection, 5, 99–124, https://doi.org/10.4236/gep.2017.53008, 2017.
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, US Environmental Protection Agency, Office of Research and Development, Washington, DC, 136 pp., 2014.
Ordieres, J. B., Vergara, E. P., Capuz, R. S., and Salazar, R. E.: Neural network prediction model for fine particulate matter (PM2.5) on the US–Mexico border in El Paso (Texas) and Ciudad Juárez (Chihuahua), Environ. Modell. Softw., 20, 547–559, https://doi.org/10.1016/j.envsoft.2004.03.010, 2005.
Paatero, P.: The Multilinear Engine – A Table-Driven, Least Squares Program for Solving Multilinear Problems, Including the n-Way Parallel Factor Analysis Model, J. Comput. Graph. Stat., 8, 854–888, https://doi.org/10.1080/10618600.1999.10474853, 1999.
Padhi, B. K. and Padhy, P. K.: Assessment of intra-urban variability in outdoor air quality and its health risks, Inhal Toxicol, 20, 973–979, https://doi.org/10.1080/08958370701866420, 2008.
Pant, P., Baker, S. J., Shukla, A., Maikawa, C., Godri Pollitt, K. J., and Harrison, R. M.: The PM10 fraction of road dust in the UK and India: Characterization, source profiles and oxidative potential, Sci. Total Environ., 530–531, 445–452, https://doi.org/10.1016/j.scitotenv.2015.05.084, 2015.
Papanastasiou, D. K., Melas, D., and Kioutsioukis, I.: Development and Assessment of Neural Network and Multiple Regression Models in Order to Predict PM10 Levels in a Medium-sized Mediterranean City, Water Air Soil Poll., 182, 325–334, https://doi.org/10.1007/s11270-007-9341-0, 2007.
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.
Pennino, M. J., Kaushal, S. S., Murthy, S. N., Blomquist, J. D., Cornwell, J. C., and Harris, L. A.: Sources and transformations of anthropogenic nitrogen along an urban river–estuarine continuum, Biogeosciences, 13, 6211–6228, https://doi.org/10.5194/bg-13-6211-2016, 2016.
Perez, P. and Reyes, J.: An integrated neural network model for PM10 forecasting, Atmos. Environ., 40, 2845–2851, https://doi.org/10.1016/j.atmosenv.2006.01.010, 2006.
Perrone, M. G., Zhou, J., Malandrino, M., Sangiorgi, G., Rizzi, C., Ferrero, L., Dommen, J., and Bolzacchini, E.: PM chemical composition and oxidative potential of the soluble fraction of particles at two sites in the urban area of Milan, Northern Italy, Atmos. Environ., 128, 104–113, https://doi.org/10.1016/j.atmosenv.2015.12.040, 2016.
Piao, M. J., Ahn, M. J., Kang, K. A., Ryu, Y. S., Hyun, Y. J., Shilnikova, K., Zhen, A. X., Jeong, J. W., Choi, Y. H., Kang, H. K., Koh, Y. S., and Hyun, J. W.: Particulate matter 2.5 damages skin cells by inducing oxidative stress, subcellular organelle dysfunction, and apoptosis, Arch. Toxikol., 92, 2077–2091, https://doi.org/10.1007/s00204-018-2197-9, 2018.
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.
Pietrogrande, M. C., Perrone, M. R., Manarini, F., Romano, S., Udisti, R., and Becagli, S.: PM10 oxidative potential at a Central Mediterranean Site: Association with chemical composition and meteorological parameters, Atmos. Environ., 188, 97–111, https://doi.org/10.1016/j.atmosenv.2018.06.013, 2018.
Pope III, C. A.: Lung Cancer, Cardiopulmonary Mortality, and Long-term Exposure to Fine Particulate Air Pollution, JAMA, 287, 1132, https://doi.org/10.1001/jama.287.9.1132, 2002.
Pope III, C. A., Ezzati, M., and Dockery, D. W.: Fine-Particulate Air Pollution and Life Expectancy in the United States, New Engl. J. Med., 360, 376–386, https://doi.org/10.1056/NEJMsa0805646, 2009.
Priestley, M., Le Breton, M., Bannan, T. J., Leather, K. E., Bacak, A., Reyes-Villegas, E., De Vocht, F., Shallcross, B. M. A., Brazier, T., Anwar Khan, M., Allan, J., Shallcross, D. E., Coe, H., and Percival, C. J.: Observations of Isocyanate, Amide, Nitrate, and Nitro Compounds From an Anthropogenic Biomass Burning Event Using a ToF-CIMS, J. Geophys. Res.-Atmos., 123, 7687–7704, https://doi.org/10.1002/2017JD027316, 2018.
Qiao, F., Li, Q., and Lei, Y.: Particulate Matter Caused Health Risk in an Urban Area of the Middle East and the Challenges in Reducing its Anthropogenic Emissions, Environment Pollution and Climate Change, 2, 1000145, https://doi.org/10.4172/2573-458X.1000145, 2018.
Rahimi, A.: Short-term prediction of NO2 and NOx concentrations using multilayer perceptron neural network: a case study of Tabriz, Iran, Ecological Processes, 6, 4, https://doi.org/10.1186/s13717-016-0069-x, 2017.
Rohr, A. C. and Wyzga, R. E.: Attributing health effects to individual particulate matter constituents, Atmos. Environ., 62, 130–152, https://doi.org/10.1016/j.atmosenv.2012.07.036, 2012.
Salazar-Ruiz, E., Ordieres, J. B., Vergara, E. P., and Capuz-Rizo, S. F.: Development and comparative analysis of tropospheric ozone prediction models using linear and artificial intelligence-based models in Mexicali, Baja California (Mexico) and Calexico, California (US), Environ. Modell. Softw., 23, 1056–1069, https://doi.org/10.1016/j.envsoft.2007.11.009, 2008.
Samake, A., Uzu, G., Martins, J. M. F., Calas, A., Vince, E., Parat, S., and Jaffrezo, J. L.: The unexpected role of bioaerosols in the Oxidative Potential of PM, Scientific Reports, 7, 10978, https://doi.org/10.1038/s41598-017-11178-0, 2017.
Schwela, D.: Air Pollution and Health in Urban Areas, Rev. Environ. Health, 15, 13–42, https://doi.org/10.1515/REVEH.2000.15.1-2.13, 2000.
Seo, I., Lee, K., Bae, M.-S., Park, M., Maskey, S., Seo, A., Borlaza, L. J. S., Cosep, E. M. R., and Park, K.: Comparison of physical and chemical characteristics and oxidative potential of fine particles emitted from rice straw and pine stem burning, Environ. Pollut., 267, 115599, https://doi.org/10.1016/j.envpol.2020.115599, 2020.
Shi, T., Duffin, R., Borm, P. J. A., Li, H., Weishaupt, C., and Schins, R. P. F.: Hydroxyl-radical-dependent DNA damage by ambient particulate matter from contrasting sampling locations, Environ. Res., 101, 18–24, https://doi.org/10.1016/j.envres.2005.09.005, 2006.
Shiraiwa, M., Ueda, K., Pozzer, A., Lammel, G., Kampf, C. J., Fushimi, A., Enami, S., Arangio, A. M., Fröhlich-Nowoisky, J., Fujitani, Y., Furuyama, A., Lakey, P. S. J., Lelieveld, J., Lucas, K., Morino, Y., Pöschl, U., Takahama, S., Takami, A., Tong, H., Weber, B., Yoshino, A., and Sato, K.: Aerosol Health Effects from Molecular to Global Scales, Environ. Sci. Technol., 51, 13545–13567, https://doi.org/10.1021/acs.est.7b04417, 2017.
Simonetti, G., Conte, E., Perrino, C., and Canepari, S.: Oxidative potential of size-segregated PM in an urban and an industrial area of Italy, Atmos. Environ., 187, 292–300, https://doi.org/10.1016/j.atmosenv.2018.05.051, 2018.
Slini, T., Kaprara, A., Karatzas, K., and Moussiopoulos, N.: PM10 forecasting for Thessaloniki, Greece, Environ. Modell. Softw., 21, 559–565, https://doi.org/10.1016/j.envsoft.2004.06.011, 2006.
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.
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.
Tuet, W. Y., Chen, Y., Xu, L., Fok, S., Gao, D., Weber, R. J., and Ng, N. L.: Chemical oxidative potential of secondary organic aerosol (SOA) generated from the photooxidation of biogenic and anthropogenic volatile organic compounds, Atmos. Chem. Phys., 17, 839–853, https://doi.org/10.5194/acp-17-839-2017, 2017.
Valavanidis, A., Fiotakis, K., and Vlachogianni, T.: Airborne Particulate Matter and Human Health: Toxicological Assessment and Importance of Size and Composition of Particles for Oxidative Damage and Carcinogenic Mechanisms, J. Environ. Sci. Heal. C, 26, 339–362, https://doi.org/10.1080/10590500802494538, 2008.
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.
Vakili, M., Sabbagh-Yazdi, S.-R., Kalhor, K., and Khosrojerdi, S.: Using Artificial Neural Networks for Prediction of Global Solar Radiation in Tehran Considering Particulate Matter Air Pollution, Energy Proced., 74, 1205–1212, https://doi.org/10.1016/j.egypro.2015.07.764, 2015.
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.
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, Environ. 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.
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., 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. Discuss. [preprint], https://doi.org/10.5194/acp-2021-77, in review, 2021.
Winterbottom, C. J., Shah, R. J., Patterson, K. C., Kreider, M. E., Panettieri, R. A., Rivera-Lebron, B., Miller, W. T., Litzky, L. A., Penning, T. M., Heinlen, K., Jackson, T., Localio, A. R., and Christie, J. D.: Exposure to Ambient Particulate Matter Is Associated With Accelerated Functional Decline in Idiopathic Pulmonary Fibrosis, Chest, 153, 1221–1228, https://doi.org/10.1016/j.chest.2017.07.034, 2018.
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.
Yang, A., Wang, M., Eeftens, M., Beelen, R., Dons, E., Leseman, D. L. A. C., Brunekreef, B., Cassee, F. R., Janssen, N. A. H., and Hoek, G.: Spatial Variation and Land Use Regression Modeling of the Oxidative Potential of Fine Particles, Environ. Health Persp., 123, 1187–1192, https://doi.org/10.1289/ehp.1408916, 2015.
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.
Yu, S., Liu, W., Xu, Y., Yi, K., Zhou, M., Tao, S., and Liu, W.: Characteristics and oxidative potential of atmospheric PM2.5 in Beijing: Source apportionment and seasonal variation, Sci. Total Environ., 650, 277–287, https://doi.org/10.1016/j.scitotenv.2018.09.021, 2019.
Zhou, J., Elser, M., Huang, R.-J., Krapf, M., Fröhlich, R., Bhattu, D., Stefenelli, G., Zotter, P., Bruns, E. A., Pieber, S. M., Ni, H., Wang, Q., Wang, Y., Zhou, Y., Chen, C., Xiao, M., Slowik, J. G., Brown, S., Cassagnes, L.-E., Daellenbach, K. R., Nussbaumer, T., Geiser, M., Prévôt, A. S. H., El-Haddad, I., Cao, J., Baltensperger, U., and Dommen, J.: Predominance of secondary organic aerosol to particle-bound reactive oxygen species activity in fine ambient aerosol, Atmos. Chem. Phys., 19, 14703–14720, https://doi.org/10.5194/acp-19-14703-2019, 2019.
Short summary
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.
With an enhanced source apportionment obtained in a companion paper, this paper acquires more...
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