Articles | Volume 21, issue 12
https://doi.org/10.5194/acp-21-9719-2021
https://doi.org/10.5194/acp-21-9719-2021
Research article
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29 Jun 2021
Research article | Highlight paper |  | 29 Jun 2021

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, Samuël Weber, Jean-Luc Jaffrezo, Stephan Houdier, Rémy Slama, Camille Rieux, Alexandre Albinet, Steve Micallef, Cécile Trébluchon, and Gaëlle Uzu

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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. 
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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. 
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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.
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