Articles | Volume 21, issue 7
https://doi.org/10.5194/acp-21-5415-2021
© 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-21-5415-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Apr 2021
Research article |
| 08 Apr 2021
| 08 Apr 2021
Disparities in particulate matter (PM10) origins and oxidative potential at a city scale (Grenoble, France) – Part 1: Source apportionment at three neighbouring sites
Lucille Joanna S. Borlaza
CORRESPONDING AUTHOR
University Grenoble Alpes, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
Samuël Weber
University Grenoble Alpes, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
Gaëlle Uzu
University Grenoble Alpes, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
Véronique Jacob
University Grenoble Alpes, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
Trishalee Cañete
University Grenoble Alpes, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
Steve Micallef
Atmo Auvergne-Rhônes Alpes, 38400 Grenoble, France
Cécile Trébuchon
Atmo Auvergne-Rhônes Alpes, 38400 Grenoble, France
Rémy Slama
IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, University of Grenoble Alpes, 38000 Grenoble, France
Olivier Favez
INERIS, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France
Laboratoire Central de Surveillance de la Qualité de l'Air (LCSQA), 60550 Verneuil-en-Halatte, France
Jean-Luc Jaffrezo
CORRESPONDING AUTHOR
University Grenoble Alpes, CNRS, IRD, INP-G, IGE (UMR 5001), 38000 Grenoble, France
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- 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
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- Source apportionment study on particulate air pollution in two high-altitude Bolivian cities: La Paz and El Alto V. Mardoñez et al. 10.5194/acp-23-10325-2023
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- 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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- 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
- Evaluating the potential secondary contribution of photosensitized chemistry to OH production in aqueous aerosols E. Petersen-Sonn et al. 10.1039/D4EA00103F
- 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
- Personal exposure to PM2.5 oxidative potential and its association to birth outcomes L. Borlaza et al. 10.1038/s41370-022-00487-w
- Disparities in particulate matter (PM<sub>10</sub>) origins and oxidative potential at a city scale (Grenoble, France) – Part 2: Sources of PM<sub>10</sub> oxidative potential using multiple linear regression analysis and the predictive applicability of multilayer perceptron neural network analysis L. Borlaza et al. 10.5194/acp-21-9719-2021
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Latest update: 13 Dec 2024
Short summary
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.
This study focuses on fully discriminating the origins of particulates by tackling specific...
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