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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47 citations as recorded by crossref.
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- Seasonal Changes in the Oxidative Potential of Urban Air Pollutants: The Influence of Emission Sources and Proton- and Ligand-Mediated Dissolution of Transition Metals P. Shahpoury et al. 10.1021/acsestair.4c00093
- Discovering oxidative potential (OP) drivers of atmospheric PM10, PM2.5, and PM1 simultaneously in North-Eastern Spain M. in 't Veld et al. 10.1016/j.scitotenv.2022.159386
- Major source categories of PM2.5 oxidative potential in wintertime Beijing and surroundings based on online dithiothreitol-based field measurements R. Cheung et al. 10.1016/j.scitotenv.2024.172345
- Source apportionment of atmospheric PM<sub>10</sub> oxidative potential: synthesis of 15 year-round urban datasets in France S. Weber et al. 10.5194/acp-21-11353-2021
- Combining Satellite‐Derived PM2.5 Data and a Reduced‐Form Air Quality Model to Support Air Quality Analysis in US Cities C. Gallagher et al. 10.1029/2023GH000788
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- Pollution sources affecting the oxidative potential of fine aerosols in a Portuguese urban-industrial area - an exploratory study N. Canha et al. 10.1007/s11869-024-01556-9
- Oxidative potential of atmospheric brown carbon in six Chinese megacities: Seasonal variation and source apportionment D. Wang et al. 10.1016/j.atmosenv.2023.119909
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- Prenatal Exposure to PM2.5 Oxidative Potential and Lung Function in Infants and Preschool- Age Children: A Prospective Study A. Marsal et al. 10.1289/EHP11155
46 citations as recorded by crossref.
- Impact of COVID-19 lockdown on particulate matter oxidative potential at urban backgroundversustraffic sites L. Borlaza et al. 10.1039/D3EA00013C
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- Size-segregated particulate matter oxidative potential near a ferromanganese plant: Associations with soluble and insoluble elements and their sources A. Expósito et al. 10.1016/j.apr.2024.102330
- Personal exposure to PM2.5 oxidative potential and its association to birth outcomes L. Borlaza et al. 10.1038/s41370-022-00487-w
- Source apportionment of oxidative potential depends on the choice of the assay: insights into 5 protocols comparison and implications for mitigation measures P. Dominutti et al. 10.1039/D3EA00007A
- Source apportionment of PM2.5 oxidative potential in an East Mediterranean site M. Fadel et al. 10.1016/j.scitotenv.2023.165843
- Annual variation of source contributions to PM10 and oxidative potential in a mountainous area with traffic, biomass burning, cement-plant and biogenic influences K. Glojek et al. 10.1016/j.envint.2024.108787
- Seasonal Changes in the Oxidative Potential of Urban Air Pollutants: The Influence of Emission Sources and Proton- and Ligand-Mediated Dissolution of Transition Metals P. Shahpoury et al. 10.1021/acsestair.4c00093
- Discovering oxidative potential (OP) drivers of atmospheric PM10, PM2.5, and PM1 simultaneously in North-Eastern Spain M. in 't Veld et al. 10.1016/j.scitotenv.2022.159386
- Major source categories of PM2.5 oxidative potential in wintertime Beijing and surroundings based on online dithiothreitol-based field measurements R. Cheung et al. 10.1016/j.scitotenv.2024.172345
- Source apportionment of atmospheric PM<sub>10</sub> oxidative potential: synthesis of 15 year-round urban datasets in France S. Weber et al. 10.5194/acp-21-11353-2021
- Combining Satellite‐Derived PM2.5 Data and a Reduced‐Form Air Quality Model to Support Air Quality Analysis in US Cities C. Gallagher et al. 10.1029/2023GH000788
- Refined prediction of SO2 concentration around Chinese coking enterprises and exposure risk assessment of different populations based on buffer Latin hypercube M. Lei et al. 10.1016/j.jclepro.2024.143833
- Oxidative potential in rural, suburban and city centre atmospheric environments in central Europe M. Vörösmarty et al. 10.5194/acp-23-14255-2023
- Application of machine learning in atmospheric pollution research: A state-of-art review Z. Peng et al. 10.1016/j.scitotenv.2023.168588
- The effects of photochemical aging and interactions with secondary organic aerosols on cellular toxicity of combustion particles R. Attah et al. 10.1016/j.jaerosci.2024.106473
- Source-specific light absorption and radiative effects decreases and indications due to the lockdown Y. Qu et al. 10.1016/j.jenvman.2024.120600
- Nine-year trends of PM10 sources and oxidative potential in a rural background site in France L. Borlaza et al. 10.5194/acp-22-8701-2022
- Numerical simulation of IL-8-based relative inflammation potentials of aerosol particles from vehicle exhaust and non-exhaust emission sources in Japan M. Kajino et al. 10.1016/j.aeaoa.2024.100237
- Characterization of Oxidative Potential and Ecotoxicity of the Organic Fraction of Particulate Matter in a Coastal City in China: Implications for Human Respiratory Health K. Chen et al. 10.1021/acsestair.4c00177
- Spatiotemporal variability in the oxidative potential of ambient fine particulate matter in the Midwestern United States H. Yu et al. 10.5194/acp-21-16363-2021
- Toxicity source apportionment of fugitive dust PM2.5-bound polycyclic aromatic hydrocarbons using multilayer perceptron neural network analysis in Guanzhong Plain urban agglomeration, China Q. Zhang et al. 10.1016/j.jhazmat.2024.133773
- Discovering Oxidative Potential (Op) Drivers of Atmospheric Pm10, Pm2.5, and Pm1 Simultaneously in North-Eastern Spain M. in 't Veld et al. 10.2139/ssrn.4188616
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- Oxidative potential apportionment of atmospheric PM1: a new approach combining high-sensitive online analysers for chemical composition and offline OP measurement technique J. Camman et al. 10.5194/acp-24-3257-2024
- Linking Switzerland's PM<sub>10</sub> and PM<sub>2.5</sub> oxidative potential (OP) with emission sources S. Grange et al. 10.5194/acp-22-7029-2022
- Revisiting the atmospheric particles: Connecting lines and changing paradigms H. Rohra et al. 10.1016/j.scitotenv.2022.156676
- Cellulose in atmospheric particulate matter at rural and urban sites across France and Switzerland A. Brighty et al. 10.5194/acp-22-6021-2022
- Impact of biomass burning and non-exhaust vehicle emissions on PM10 levels in a mid-size non-industrial western Iberian city C. Pio et al. 10.1016/j.atmosenv.2022.119293
- Insights the dominant contribution of biomass burning to methanol-soluble PM2.5 bounded oxidation potential based on multilayer perceptron neural network analysis in Xi'an, China Y. Luo et al. 10.1016/j.scitotenv.2023.168273
- Disentangling fine particles (PM2.5) composition in Hanoi, Vietnam: Emission sources and oxidative potential P. Dominutti et al. 10.1016/j.scitotenv.2024.171466
- Assessing the oxidative potential of dust from great salt Lake R. Attah et al. 10.1016/j.atmosenv.2024.120728
- Ascorbate oxidation driven by PM2.5-bound metal(loid)s extracted in an acidic simulated lung fluid in relation to their bioaccessibility A. Expósito et al. 10.1007/s11869-023-01436-8
- The impacts of regional transport on anthropogenic source contributions of PM2.5 in a basin city, China H. Liu et al. 10.1016/j.scitotenv.2024.170038
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- Inter-comparison of oxidative potential metrics for airborne particles identifies differences between acellular chemical assays P. Shahpoury et al. 10.1016/j.apr.2022.101596
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- Unveiling the optimal regression model for source apportionment of the oxidative potential of PM10 V. Ngoc Thuy et al. 10.5194/acp-24-7261-2024
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- Pollution sources affecting the oxidative potential of fine aerosols in a Portuguese urban-industrial area - an exploratory study N. Canha et al. 10.1007/s11869-024-01556-9
- Oxidative potential of atmospheric brown carbon in six Chinese megacities: Seasonal variation and source apportionment D. Wang et al. 10.1016/j.atmosenv.2023.119909
- Estimations of ambient fine particle and ozone level at a suburban site of Beijing in winter W. Liu et al. 10.1088/2515-7620/ac1f82
- VAR-tree model based spatio-temporal characterization and prediction of O3 concentration in China H. Dai et al. 10.1016/j.ecoenv.2023.114960
Latest update: 11 Dec 2024
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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