Articles | Volume 22, issue 10
https://doi.org/10.5194/acp-22-7029-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-7029-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Jun 2022
Research article |
| 01 Jun 2022
| 01 Jun 2022
Linking Switzerland's PM10 and PM2.5 oxidative potential (OP) with emission sources
Empa, Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, 8600 Dübendorf, Switzerland
Wolfson Atmospheric Chemistry Laboratories, University of York, York, YO10 5DD, United Kingdom
Université Grenoble Alpes, IRD, CNRS, Grenoble INP, IGE (Institute of Environmental Geosciences), 38000 Grenoble, France
Samuël Weber
Université Grenoble Alpes, IRD, CNRS, Grenoble INP, IGE (Institute of Environmental Geosciences), 38000 Grenoble, France
Jean-Luc Jaffrezo
Université Grenoble Alpes, IRD, CNRS, Grenoble INP, IGE (Institute of Environmental Geosciences), 38000 Grenoble, France
Christoph Hueglin
CORRESPONDING AUTHOR
Empa, Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, 8600 Dübendorf, Switzerland
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Preprint withdrawn
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Atmos. Chem. Phys., 23, 4031–4044, https://doi.org/10.5194/acp-23-4031-2023, https://doi.org/10.5194/acp-23-4031-2023, 2023
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Surface ozone, detrimental to human and ecosystem health, is very high and increasing in South Korea. Using a global model of the atmosphere, we found that emissions from South Korea and China contribute equally to the high ozone observed. We found that in the absence of all anthropogenic emissions over East Asia, ozone is still very high, implying that the air quality standard in South Korea is not practically achievable unless this background external to East Asia can be decreased.
Wiebke Scholz, Jiali Shen, Diego Aliaga, Cheng Wu, Samara Carbone, Isabel Moreno, Qiaozhi Zha, Wei Huang, Liine Heikkinen, Jean Luc Jaffrezo, Gaelle Uzu, Eva Partoll, Markus Leiminger, Fernando Velarde, Paolo Laj, Patrick Ginot, Paolo Artaxo, Alfred Wiedensohler, Markku Kulmala, Claudia Mohr, Marcos Andrade, Victoria Sinclair, Federico Bianchi, and Armin Hansel
Atmos. Chem. Phys., 23, 895–920, https://doi.org/10.5194/acp-23-895-2023, https://doi.org/10.5194/acp-23-895-2023, 2023
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Dimethyl sulfide (DMS), emitted from the ocean, is the most abundant biogenic sulfur emission into the atmosphere. OH radicals, among others, can oxidize DMS to sulfuric and methanesulfonic acid, which are relevant for aerosol formation. We quantified DMS and nearly all DMS oxidation products with novel mass spectrometric instruments for gas and particle phase at the high mountain station Chacaltaya (5240 m a.s.l.) in the Bolivian Andes in free tropospheric air after long-range transport.
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.
Horim Kim, Michael Müller, Stephan Henne, and Christoph Hüglin
Atmos. Meas. Tech., 15, 2979–2992, https://doi.org/10.5194/amt-15-2979-2022, https://doi.org/10.5194/amt-15-2979-2022, 2022
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In this study, the performance of electrochemical sensors for NO and NO2 for measuring air quality was determined over a longer operating period. The performance of NO sensors remained reliable for more than 18 months. However, the NO2 sensors showed decreasing performance over time. During deployment, we found that the NO2 sensors can distinguish general pollution levels, but they proved unsuitable for accurate measurements due to significant biases.
Adam Brighty, Véronique Jacob, Gaëlle Uzu, Lucille Borlaza, Sébastien Conil, Christoph Hueglin, Stuart K. Grange, Olivier Favez, Cécile Trébuchon, and Jean-Luc Jaffrezo
Atmos. Chem. Phys., 22, 6021–6043, https://doi.org/10.5194/acp-22-6021-2022, https://doi.org/10.5194/acp-22-6021-2022, 2022
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With an revised analytical method and long-term sampling strategy, we have been able to elucidate much more information about atmospheric plant debris, a poorly understood class of particulate matter. We found weaker seasonal patterns at urban locations compared to rural locations and significant interannual variability in concentrations between previous years and 2020, during the COVID-19 pandemic. This suggests a possible man-made influence on plant debris concentration and source strength.
Franz Conen, Annika Einbock, Claudia Mignani, and Christoph Hüglin
Atmos. Chem. Phys., 22, 3433–3444, https://doi.org/10.5194/acp-22-3433-2022, https://doi.org/10.5194/acp-22-3433-2022, 2022
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Above western Europe, ice typically starts to form in clouds a few kilometres above the ground if suitable aerosol particles are present. In air masses typical for that altitude, we found that such particles most likely originate from bacteria and fungi living on plants. Occasional Saharan dust intrusions seem to contribute little to the number concentration of particles able to freeze cloud droplets between 0°C and −15°C.
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.
Gang Chen, Yulia Sosedova, Francesco Canonaco, Roman Fröhlich, Anna Tobler, Athanasia Vlachou, Kaspar R. Daellenbach, Carlo Bozzetti, Christoph Hueglin, Peter Graf, Urs Baltensperger, Jay G. Slowik, Imad El Haddad, and André S. H. Prévôt
Atmos. Chem. Phys., 21, 15081–15101, https://doi.org/10.5194/acp-21-15081-2021, https://doi.org/10.5194/acp-21-15081-2021, 2021
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A novel, advanced source apportionment technique was applied to a dataset measured in Magadino. Rolling positive matrix factorisation (PMF) allows for retrieving more realistic, time-dependent, and detailed information on organic aerosol sources. The strength of the rolling PMF mechanism is highlighted by comparing it with results derived from conventional seasonal PMF. Overall, this comprehensive interpretation of aerosol chemical speciation monitor data could be a role model for similar work.
Samuël Weber, Gaëlle Uzu, Olivier Favez, Lucille Joanna S. Borlaza, Aude Calas, Dalia Salameh, Florie Chevrier, Julie Allard, Jean-Luc Besombes, Alexandre Albinet, Sabrina Pontet, Boualem Mesbah, Grégory Gille, Shouwen Zhang, Cyril Pallares, Eva Leoz-Garziandia, and Jean-Luc Jaffrezo
Atmos. Chem. Phys., 21, 11353–11378, https://doi.org/10.5194/acp-21-11353-2021, https://doi.org/10.5194/acp-21-11353-2021, 2021
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Oxidative potential (OP) of aerosols is apportioned to the main PM sources found in 15 sites over France. The sources present clear distinct intrinsic OPs at a large geographic scale, and a drastic redistribution between the mass concentration and OP measured by both ascorbic acid and dithiothreitol is highlighted. Moreover, the high discrepancy between the mean and median contributions of the sources to the given metrics raises some important questions when dealing with health endpoints.
Lucille Joanna S. Borlaza, Samuël Weber, Jean-Luc Jaffrezo, Stephan Houdier, Rémy Slama, Camille Rieux, Alexandre Albinet, Steve Micallef, Cécile Trébluchon, and Gaëlle Uzu
Atmos. Chem. Phys., 21, 9719–9739, https://doi.org/10.5194/acp-21-9719-2021, https://doi.org/10.5194/acp-21-9719-2021, 2021
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With an enhanced source apportionment obtained in a companion paper, this paper acquires more understanding of the spatiotemporal associations of the sources of PM to oxidative potential (OP), an emerging health-based metric. Multilayer perceptron neural network analysis was used to apportion OP from PM sources. Results showed that such a methodology is as robust as the linear classical inversion and permits an improvement in the OP prediction when local features or non-linear effects occur.
Vincent Michoud, Elise Hallemans, Laura Chiappini, Eva Leoz-Garziandia, Aurélie Colomb, Sébastien Dusanter, Isabelle Fronval, François Gheusi, Jean-Luc Jaffrezo, Thierry Léonardis, Nadine Locoge, Nicolas Marchand, Stéphane Sauvage, Jean Sciare, and Jean-François Doussin
Atmos. Chem. Phys., 21, 8067–8088, https://doi.org/10.5194/acp-21-8067-2021, https://doi.org/10.5194/acp-21-8067-2021, 2021
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A multiphasic molecular characterization of oxygenated compounds has been carried out during the ChArMEx field campaign using offline analysis. It leads to the identification of 97 different compounds in the gas and aerosol phases and reveals the important contribution of organic acids to organic aerosol. In addition, comparison between experimental and theoretical partitioning coefficients revealed in most cases a large underestimation by the theory reaching 1 to 7 orders of magnitude.
Lucille Joanna S. Borlaza, Samuël Weber, Gaëlle Uzu, Véronique Jacob, Trishalee Cañete, Steve Micallef, Cécile Trébuchon, Rémy Slama, Olivier Favez, and Jean-Luc Jaffrezo
Atmos. Chem. Phys., 21, 5415–5437, https://doi.org/10.5194/acp-21-5415-2021, https://doi.org/10.5194/acp-21-5415-2021, 2021
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This study focuses on fully discriminating the origins of particulates by tackling specific secondary organic aerosol (SOA) sources that are difficult to resolve using traditional datasets, especially at a city scale. This is done through the use of additional fit-for-purpose tracers in the Positive Matrix Factorization (PMF) model, which can be obtained using simpler and more targeted techniques, and the comparison of the PMF models from sites in close range but with different urban typologies.
Stuart K. Grange, James D. Lee, Will S. Drysdale, Alastair C. Lewis, Christoph Hueglin, Lukas Emmenegger, and David C. Carslaw
Atmos. Chem. Phys., 21, 4169–4185, https://doi.org/10.5194/acp-21-4169-2021, https://doi.org/10.5194/acp-21-4169-2021, 2021
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The changes in mobility across Europe due to the COVID-19 lockdowns had consequences for air quality. We compare what was experienced to estimates of "what would have been" without the lockdowns. Nitrogen dioxide (NO2), an important vehicle-sourced pollutant, decreased by a third. However, ozone (O3) increased in response to lower NO2. Because NO2 is decreasing over time, increases in O3 can be expected in European urban areas and will require management to avoid future negative outcomes.
Cited articles
Abdulhammed, R., Musafer, H., Alessa, A., Faezipour, M., and Abuzneid, A.:
Features Dimensionality Reduction Approaches for Machine Learning Based
Network Intrusion Detection, Electronics, 8, 79–83,
https://doi.org/10.3390/electronics8030322, 2019. a
Antiñolo, M., Willis, M. D., Zhou, S., and Abbatt, J. P. D.: Connecting the
oxidation of soot to its redox cycling abilities, Nat. Commun., 6,
6812, https://doi.org/10.1038/ncomms7812, 2015. a
Barmpadimos, I., Hueglin, C., Keller, J., Henne, S., and Prévôt, A. S. H.: Influence of meteorology on PM10 trends and variability in Switzerland from 1991 to 2008, Atmos. Chem. Phys., 11, 1813–1835, https://doi.org/10.5194/acp-11-1813-2011, 2011. a, b
Bates, J., 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. a, b, c
Behnamian, A., Banks, S., White, L., Millard, K., Pouliot, D., Pasher, J., and
Duffe, J.: Dimensionality Reduction in The Presence of Highly Correlated
Variables for Random Forests: Wetland Case Study, in: IGARSS 2019 - 2019 IEEE
International Geoscience and Remote Sensing Symposium, 9839–9842,
https://doi.org/10.1109/IGARSS.2019.8898308, 2019. a
Beyrich, F.: Mixing height estimation from sodar data – A critical
discussion, Atmos. Environ., 31, 3941–3953,
https://doi.org/10.1016/S1352-2310(97)00231-8, 1997. a
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,
2018. a
Borlaza, L. J. S., Weber, S., Jaffrezo, J.-L., Houdier, S., Slama, R., Rieux, C., Albinet, A., Micallef, S., Trébluchon, C., and Uzu, G.: Disparities in particulate matter (PM10) origins and oxidative potential at a city scale (Grenoble, France) – Part 2: Sources of PM10 oxidative potential using multiple linear regression analysis and the predictive applicability of multilayer perceptron neural network analysis, Atmos. Chem. Phys., 21, 9719–9739, https://doi.org/10.5194/acp-21-9719-2021, 2021. a
Breiman, L.: Random Forests, Mach. Learn., 45, 5–32,
https://doi.org/10.1023/A:1010933404324, 2001. a, b
Bundesamt für Umwelt: Luftqualität 2020 – Messresultate des Nationalen
Beobachtungsnetzes für Luftfremdstoffe (NABEL),
https://www.bafu.admin.ch/dam/bafu/de/dokumente/luft/uz-umwelt-zustand/nabel-luftqualitaet-2020.pdf.download.pdf/UZ-2114-D_Jahrbuch_NABEL2020.pdf (last access: 20 April 2022),
Umwelt-Zustand Nr. 2114: 28 S, 2021. a
Calas, A., Uzu, G., Martins, J. M. F., Voisin, D., Spadini, L., Lacroix, T.,
and Jaffrezo, J.-L.: The importance of simulated lung fluid (SLF) extractions
for a more relevant evaluation of the oxidative potential of particulate
matter, Sci. Rep.-UK, 7, 11617,
https://doi.org/10.1038/s41598-017-11979-3, 2017. a, b
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. a, b, c, d
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. a, b, c, d
Charrier, J. G. and Anastasio, C.: On dithiothreitol (DTT) as a measure of oxidative potential for ambient particles: evidence for the importance of soluble transition metals, Atmos. Chem. Phys., 12, 9321–9333, https://doi.org/10.5194/acp-12-9321-2012, 2012. a
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. a
Chen, G., Sosedova, Y., Canonaco, F., Fröhlich, R., Tobler, A., Vlachou, A., Daellenbach, K. R., Bozzetti, C., Hueglin, C., Graf, P., Baltensperger, U., Slowik, J. G., El Haddad, I., and Prévôt, A. S. H.: Time-dependent source apportionment of submicron organic aerosol for a rural site in an alpine valley using a rolling positive matrix factorisation (PMF) window, Atmos. Chem. Phys., 21, 15081–15101, https://doi.org/10.5194/acp-21-15081-2021, 2021. a
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. a
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. a, b, c, d, e, f, g
Delfino, R. J., Staimer, N., Tjoa, T., Gillen, D. L., Schauer, J. J., and
Shafer, M. M.: Airway inflammation and oxidative potential of air pollutant
particles in a pediatric asthma panel, J. Expo. Sci.
Env. Epid., 23, 466–473,
https://doi.org/10.1038/jes.2013.25, 2013. a
Emeis, S. and Schäfer, K.: Remote Sensing Methods to Investigate
Boundary-layer Structures relevant to Air Pollution in Cities,
Bound.-Lay. Meteorol., 121, 377–385,
https://doi.org/10.1007/s10546-006-9068-2, 2006. a
European Committee for Standardization (CEN): CEN EN 16909: Ambient air –
Measurement of elemental carbon (EC) and organic carbon (OC) collected on
filters, Technical Committee: CEN/TC 264 – Air quality, 2017. a
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. a, b
Fang, T., Zeng, L., Gao, D., Verma, V., Stefaniak, A. B., and Weber, R. J.:
Ambient Size Distributions and Lung Deposition of Aerosol
Dithiothreitol-Measured Oxidative Potential: Contrast between Soluble and
Insoluble Particles, Environ. Sci. Technol., 51, 6802–6811,
https://doi.org/10.1021/acs.est.7b01536, 2017. a
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, https://bit.ly/2R3m1Cr (last access: 20 April 2022), Laboratoire Central
de Surveillance de la Qualité de l'Air. Ref. INERIS:
DRC-16-152341-07444A, 2017. a
Federal Office for the Environment: UNECE-CLRTAP Submission of air pollutant
emissions for Switzerland 1980–2019,
deliveries for LRTAP Convention – National emission inventories,
https://www.ceip.at/status-of-reporting-and-review-results/2021-submission, last access: 12 February 2021. a
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 Biology and
Medicine, 151, 7–25,
https://doi.org/10.1016/j.freeradbiomed.2020.04.028,
2020. a
Gianini, M. F. D., Gehrig, R., Fischer, A., Ulrich, A., Wichser, A., and
Hueglin, C.: Chemical composition of PM10 in Switzerland: An analysis for
2008/2009 and changes since 1998/1999, Atmos. Environ., 54, 97–106,
2012. a
Grange, S. K.: Data for publication “Switzerland's PM10 and PM2.5
environmental increments show the importance of non-exhaust emissions”, Zenodo [data set],
https://doi.org/10.5281/zenodo.4668158, 2021a. a, b
Grange, S. K.: Example of training multiple linear regression (MLR) models to
predict oxidative potential (OP) with other particulate matter (PM)
constituents with simulated observations,
GitHub Gist,
https://gist.github.com/skgrange/1d5b2a51f478317bd0ccd9491eeb17c1, 2021b. a
Grange, S. K.: Example of training multiple linear regression (MLR) models to
explain/predict oxidative potential (OP) by particulate matter (PM) sources
as identified by positive matrix factorisation (PMF) using simulated
observations,
GitHub Gist,
https://gist.github.com/skgrange/60923587d3a39fc9dd440d053b3b7388, 2021c. a
Grange, S. K., Carslaw, D. C., Lewis, A. C., Boleti, E., and Hueglin, C.: Random forest meteorological normalisation models for Swiss PM10 trend analysis, Atmos. Chem. Phys., 18, 6223–6239, https://doi.org/10.5194/acp-18-6223-2018, 2018. a
Grange, S. K., Lötscher, H., Fischer, A., Emmenegger, L., and Hueglin, C.: Evaluation of equivalent black carbon source apportionment using observations from Switzerland between 2008 and 2018, Atmos. Meas. Tech., 13, 1867–1885, https://doi.org/10.5194/amt-13-1867-2020, 2020. a, b
Grange, S. K., Fischer, A., Zellweger, C., Alastuey, A., Quero, X., Jaffrezo,
J.-l., Weber, S., Uzu, G., and Hueglin, C.: Switzerland's PM10 and
PM2.5 environmental increments show the importance of non-exhaust
emissions, Atmos. Environ., 12, 100145,
https://doi.org/10.1016/j.aeaoa.2021.100145, 2021. a, b, c, d, e, f, g, h, i
Harrison, R. M.: Airborne particulate matter, Philos. T.
Roy. Soc. A, 378,
20190319, https://doi.org/10.1098/rsta.2019.0319, 2020. a
Harrison, R. M., Allan, J., Carruthers, D., Heal, M. R., Lewis, A. C., Marner,
B., Murrells, T., and Williams, A.: Non-Exhaust Vehicle Emissions of
Particulate Matter and VOC from Road Traffic: A Review, Atmos. Environ., 262, 118592, https://doi.org/10.1016/j.atmosenv.2021.118592,
2021. a, b, c
Hüglin, C. and Grange, S. K.: Chemical characterisation and source
identification of PM10 and PM2.5 in Switzerland,
Project report, Empa, Swiss Federal Laboratories for Materials Science and
Technology. Commissioned by the Federal Office for the Environment (FOEN),
https://www.bafu.admin.ch/dam/bafu/de/dokumente/luft/externe-studien-berichte/chemical-characterisation-and-source-identification-of-pm-in-switzerland.pdf.download.pdf/Characterisation-source-identification-PM.pdf (last access: 20 April 2022),
2021. a, b, c
Jackson, L. S., Carslaw, N., Carslaw, D. C., and Emmerson, K. M.: Modelling trends in OH radical concentrations using generalized additive models, Atmos. Chem. Phys., 9, 2021–2033, https://doi.org/10.5194/acp-9-2021-2009, 2009. a, b
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,
2014. a, b, c, d
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. a
Kleeman, M. J., Schauer, J. J., and Cass, G. R.: Size and Composition
Distribution of Fine Particulate Matter Emitted from Wood
Burning, Meat Charbroiling, and Cigarettes, Environ. Sci.
Technol., 33, 3516–3523, https://doi.org/10.1021/es981277q, 1999. a, b
Leni, Z., Cassagnes, L. E., Daellenbach, K. R., Haddad, I. E., 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. a
Liu, L., Urch, B., Szyszkowicz, M., Evans, G., Speck, M., Van Huang, A.,
Leingartner, K., Shutt, R. H., Pelletier, G., Gold, D. R., Brook, J. R.,
Godri Pollitt, K., and Silverman, F. S.: Metals and oxidative potential in
urban particulate matter influence systemic inflammatory and neural
biomarkers: A controlled exposure study, Environ. Int., 121,
1331–1340, https://doi.org/10.1016/j.envint.2018.10.055,
2018a. a, b
Liu, W., Xu, Y., Liu, W., Liu, Q., Yu, S., Liu, Y., Wang, X., and Tao, S.:
Oxidative potential of ambient PM2.5 in the coastal cities of the Bohai
Sea, northern China: Seasonal variation and source apportionment,
Environ. Pollut., 236, 514–528, https://doi.org/10.1016/j.envpol.2018.01.116,
2018b. a
Molina, C., Andrade, C., Manzano, C. A., Richard Toro, A., Verma, V., and
Leiva-Guzmán, M. A.: Dithiothreitol-based oxidative potential for airborne
particulate matter: an estimation of the associated uncertainty,
Environ. Sci. Pollut. Res., 27, 29672–29680,
https://doi.org/10.1007/s11356-020-09508-3, 2020. a
Norris, G., Duvall, R., Brown, S., and Bai, S.: EPA Positive Matrix
Factorization (PMF) 5.0 Fundamentals and User Guide,
U.S. Environmental Protection Agency, EPA/600/R-14/108,
https://www.epa.gov/air-research/epa-positive-matrix-factorization-50-fundamentals-and-user-guide, last access: April 2014. a, b
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. a
Paatero, P. and Tapper, U.: Positive matrix factorization: A non-negative
factor model with optimal utilization of error estimates of data values,
Environmetrics, 5, 111–126,
https://doi.org/10.1002/env.3170050203, 1994. a
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. a
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, 10, https://doi.org/10.3390/atmos10100626, 2019. a
Raaschou-Nielsen, O., Beelen, R., Wang, M., Hoek, G., Andersen, Z., Hoffmann,
B., Stafoggia, M., Samoli, E., Weinmayr, G., Dimakopoulou, K.,
Nieuwenhuijsen, M., Xun, W., Fischer, P., Eriksen, K., Sørensen, M.,
Tjønneland, A., Ricceri, F., de Hoogh, K., Key, T., Eeftens, M.,
Peeters, P., de Mesquita, H. B., Meliefste, K., Oftedal, B., Schwarze, P.,
Nafstad, P., Galassi, C., Migliore, E., Ranzi, A., Cesaroni, G., Badaloni,
C., Forastiere, F., Penell, J., De Faire, U., Korek, M., Pedersen, N.,
Östenson, C.-G., Pershagen, G., Fratiglioni, L., Concin, H., Nagel, G.,
Jaensch, A., Ineichen, A., Naccarati, A., Katsoulis, M., Trichpoulou, A.,
Keuken, M., Jedynska, A., Kooter, I., Kukkonen, J., Brunekreef, B., Sokhi,
R., Katsouyanni, K., and Vineis, P.: Particulate matter air pollution
components and risk for lung cancer, Environ. Int., 87, 66–73,
https://doi.org/10.1016/j.envint.2015.11.007, 2016. a
Rausch, J., Jaramillo-Vogel, D., Perseguers, S., Schnidrig, N., Grobéty, B.,
and Yajan, P.: Automated identification and quantification of tire wear
particles (TWP) in airborne dust: SEM/EDX single particle analysis coupled to
a machine learning classifier, Sci. Total Environ., 803,
149832, https://doi.org/10.1016/j.scitotenv.2021.149832, 2022. a
Reddy, G. T., Reddy, M. P. K., Lakshmanna, K., Kaluri, R., Rajput, D. S.,
Srivastava, G., and Baker, T.: Analysis of Dimensionality Reduction
Techniques on Big Data, IEEE Access, 8, 54776–54788,
https://doi.org/10.1109/ACCESS.2020.2980942, 2020. a
Reid, J. S., Koppmann, R., Eck, T. F., and Eleuterio, D. P.: A review of biomass burning emissions part II: intensive physical properties of biomass burning particles, Atmos. Chem. Phys., 5, 799–825, https://doi.org/10.5194/acp-5-799-2005, 2005. a
Saffari, A., Daher, N., Shafer, M. M., Schauer, J. J., and Sioutas, C.: Global
Perspective on the Oxidative Potential of Airborne Particulate Matter: A
Synthesis of Research Findings, Environ. Sci. Technol., 48,
7576–7583, https://doi.org/10.1021/es500937x, 2014. a
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, Sci. Rep.-UK, 7, 10978,
https://doi.org/10.1038/s41598-017-11178-0, 2017. a, b, c
Samaké, A., Jaffrezo, J.-L., Favez, O., Weber, S., Jacob, V., Albinet, A., Riffault, V., Perdrix, E., Waked, A., Golly, B., Salameh, D., Chevrier, F., Oliveira, D. M., Bonnaire, N., Besombes, J.-L., Martins, J. M. F., Conil, S., Guillaud, G., Mesbah, B., Rocq, B., Robic, P.-Y., Hulin, A., Le Meur, S., Descheemaecker, M., Chretien, E., Marchand, N., and Uzu, G.: Polyols and glucose particulate species as tracers of primary biogenic organic aerosols at 28 French sites, Atmos. Chem. Phys., 19, 3357–3374, https://doi.org/10.5194/acp-19-3357-2019, 2019. a
Samaké, A., Bonin, A., Jaffrezo, J.-L., Taberlet, P., Weber, S., Uzu, G., Jacob, V., Conil, S., and Martins, J. M. F.: High levels of primary biogenic organic aerosols are driven by only a few plant-associated microbial taxa, Atmos. Chem. Phys., 20, 5609–5628, https://doi.org/10.5194/acp-20-5609-2020, 2020. a
Sandradewi, J., Prévôt, A. S. H., Szidat, S., Perron, N., Alfarra, M. R.,
Lanz, V. A., Weingartner, E., and Baltensperger, U.: Using Aerosol Light
Absorption Measurements for the Quantitative Determination of Wood Burning
and Traffic Emission Contributions to Particulate Matter, Environ. Sci. Technol., 42, 3316–3323, https://doi.org/10.1021/es702253m, 2008a. a
Sandradewi, J., Prévôt, A., Weingartner, E., Schmidhauser, R.,
Gysel, M., and Baltensperger, U.: A study of wood burning and traffic
aerosols in an Alpine valley using a multi-wavelength Aethalometer,
Atmos. Environ., 42, 101–112,
https://doi.org/10.1016/j.atmosenv.2007.09.034, 2008b. a
Shirmohammadi, F., Wang, D., Hasheminassab, S., Verma, V., Schauer, J. J.,
Shafer, M. M., and Sioutas, C.: Oxidative potential of on-road fine
particulate matter (PM2.5) measured on major freeways of Los Angeles,
CA, and a 10-year comparison with earlier roadside studies, Atmos. Environ., 148, 102–114,
https://doi.org/10.1016/j.atmosenv.2016.10.042, 2017. a
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. a
Svane, M., Hagström, M., and Pettersson, J. B. C.: Online Measurements of
Individual Alkali-Containing Particles Formed in Biomass and Coal Combustion:
Demonstration of an Instrument Based on Surface Ionization Technique, Energy
Fuels, 19, 411–417, https://doi.org/10.1021/ef049925g, 2005. a
Taghvaee, S., Sowlat, M. H., Diapouli, E., Manousakas, M. I., Vasilatou, V.,
Eleftheriadis, K., and Sioutas, C.: Source apportionment of the oxidative
potential of fine ambient particulate matter (PM2.5) in Athens, Greece,
Sci. Total Environ., 653, 1407–1416,
https://doi.org/10.1016/j.scitotenv.2018.11.016, 2019. a
United Nations Human Rights Council: 48/13. The human right to a clean,
healthy and sustainable environment, forty-eighth session. 13
September–11 October 2021, Agenda item 3. Resolution adopted by the Human
Rights Councilon, A/HRC/RES/48/13,
https://undocs.org/A/HRC/RES/48/13, last access: 8 October 2021. a
Urban, R. C., Lima-Souza, M., Caetano-Silva, L., Queiroz, M. E. C., Nogueira,
R. F., Allen, A. G., Cardoso, A. A., Held, G., and Campos, M. L. A.: Use of
levoglucosan, potassium, and water-soluble organic carbon to characterize the
origins of biomass-burning aerosols, Atmos. Environ., 61, 562–569,
https://doi.org/10.1016/j.atmosenv.2012.07.082, 2012. a
Weber, S.: Source apportionment of the Oxidative Potential of aerosols, A visualisation tool and
supplementary information,
http://getopstandop.u-ga.fr/ (last access: 20 April 2022), 2021. a
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. a
Weber, S., Salameh, D., Albinet, A., Alleman, L. Y., Waked, A., Besombes,
J.-L., Jacob, V., Guillaud, G., Meshbah, B., Rocq, B., Hulin, A., Chrétien,
M. D.-S. 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. a
Weber, S., Uzu, G., Favez, O., Borlaza, L. J. S., Calas, A., Salameh, D., Chevrier, F., Allard, J., Besombes, J.-L., Albinet, A., Pontet, S., Mesbah, B., Gille, G., Zhang, S., Pallares, C., Leoz-Garziandia, E., and Jaffrezo, J.-L.: Source apportionment of atmospheric PM10 oxidative potential: synthesis of 15 year-round urban datasets in France, Atmos. Chem. Phys., 21, 11353–11378, https://doi.org/10.5194/acp-21-11353-2021, 2021. a, b, c, d, e, f, g, h, i
Wong, J. P. S., Tsagkaraki, M., Tsiodra, I., Mihalopoulos, N., Violaki, K.,
Kanakidou, M., Sciare, J., Nenes, A., and Weber, R. J.: Effects of
Atmospheric Processing on the Oxidative Potential of Biomass Burning Organic
Aerosols, Environ. Sci. Technol., 53, 6747–6756,
https://doi.org/10.1021/acs.est.9b01034, 2019. a
World Health Organization: WHO global air quality guidelines: particulate
matter (PM2.5 and PM10), ozone, nitrogen
dioxide, sulfur dioxide and carbon monoxide, World Health Organization,
https://apps.who.int/iris/rest/bitstreams/1371692/retrieve (last access: 20 April 2022),
2021. a
Wright, M. N. and Ziegler, A.: ranger: A Fast Implementation of Random
Forests for High Dimensional Data in C++ and R, J. Stat.
Softw., 77, 1–17, https://doi.org/10.18637/jss.v077.i01, 2017. a
Wright, M. N., Ziegler, A., and König, I. R.: Do little interactions get lost
in dark random forests?, BMC Bioinformatics, 17, 145,
https://doi.org/10.1186/s12859-016-0995-8, 2016. a
Yadav, S. and Phuleria, H. C.: Oxidative Potential of Particulate Matter: A
Prospective Measure to Assess PM Toxicity, Springer Singapore,
Singapore, 333–356, https://doi.org/10.1007/978-981-15-0540-9_16, 2020. a, b
Yang, A., Hellack, B., Leseman, D., Brunekreef, B., Kuhlbusch, T. A., Cassee,
F. R., Hoek, G., and Janssen, N. A.: Temporal and spatial variation of the
metal-related oxidative potential of PM2.5 and its relation to
PM2.5 mass and elemental composition, Atmos. Environ., 102,
62–69, https://doi.org/10.1016/j.atmosenv.2014.11.053, 2015. a
Yu, H., Puthussery, J. V., Wang, Y., and Verma, V.: Spatiotemporal variability in the oxidative potential of ambient fine particulate matter in the Midwestern United States, Atmos. Chem. Phys., 21, 16363–16386, https://doi.org/10.5194/acp-21-16363-2021, 2021. a
Yue, Y., Chen, H., Setyan, A., Elser, M., Dietrich, M., Li, J., Zhang, T.,
Zhang, X., Zheng, Y., Wang, J., and Yao, M.: Size-Resolved Endotoxin and
Oxidative Potential of Ambient Particles in Beijing and Zürich,
Environ. Sci. Technol., 52, 6816–6824,
https://doi.org/10.1021/acs.est.8b01167, 2018.
a
Zhang, Z., Weichenthal, S., Kwong, J. C., Burnett, R. T., Hatzopoulou, M.,
Jerrett, M., van Donkelaar, A., Bai, L., Martin, R. V., Copes, R., Lu, H.,
Lakey, P., Shiraiwa, M., and Chen, H.: A Population-Based Cohort Study of
Respiratory Disease and Long-Term Exposure to Iron and Copper in Fine
Particulate Air Pollution and Their Combined Impact on Reactive Oxygen
Species Generation in Human Lungs, Environ. Sci. Technol., 55,
3807–3818, https://doi.org/10.1021/acs.est.0c05931, 2021. a
Zhu, J., Shang, J., Chen, Y., Kuang, Y., and Zhu, T.: Reactive Oxygen
Species-Related Inside-to-Outside Oxidation of Soot Particles Triggered by
Visible-Light Irradiation: Physicochemical Property Changes and Oxidative
Potential Enhancement, Environ. Sci. Technol., 54, 8558–8567,
https://doi.org/10.1021/acs.est.0c01150, 2020. a
Short summary
Oxidative potential (OP), a biologically relevant metric for particulate matter (PM), was linked to PM10 and PM2.5 sources and constituents across Switzerland between 2018 and 2019. Wood burning and non-exhaust traffic emissions were identified as key processes that led to enhanced OP. Therefore, the make-up of the PM mix was very important for OP. The results highlight the importance of the management of wood burning and non-exhaust emissions to reduce OP, and presumably biological harm.
Oxidative potential (OP), a biologically relevant metric for particulate matter (PM), was linked...
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