Vida M. auteur aut IRD Foret G. auteur aut IRD Siour G. auteur aut IRD Jaffrezo J.L. auteur aut IRD Favez O. auteur aut IRD Cholakian A. auteur aut IRD Cozic J. auteur aut IRD Dupont H. auteur aut IRD Gille G. auteur aut IRD Oppo S. auteur aut IRD Zhang S. auteur aut IRD Francony F. auteur aut IRD Pallares C. auteur aut IRD Conil S. auteur aut IRD Uzu Gaëlle auteur aut IRD Beekmann M. auteur aut IRD text journalArticle eng text/pdf reformatted digital access The oxidative potential (OP) of particulate matter (PM) has emerged as a promising indicator of the adverse effects of PM on human health. In particular, OP is an indicator for oxidative stress in biological media through formation of reactive oxygen species. To provide a mapping of the spatial and temporal OP variability over France, we have developed a strategy to simulate the volume-normalized oxidative potential (OPv) in the state-of-the-art CHIMERE air quality model over the metropolitan French territory for the years 2013 and 2014. To do so, we combined a measurement-derived and source specific intrinsic OP (OPi) receptor modelling approach with Particle Source Apportionment Technology (PSAT) in CHIMERE. First, the model's ability to reproduce PM10 concentrations and speciation was verified using in situ observations in mainland France. Furthermore, a mostly satisfying correspondence between receptor model and PSAT outputs was obtained considering their source specific chemical profiles. Simulated versus observed OPv values showed median correlations ranging from 0.35 to 0.60 and mean fractional biases from -30 % to zero, depending on the OP assay considered (ascorbic acid AA, or dithiothreitol DTT) and the PM sources taken into account (i.e. two methods with different PM sources have been used, the reduced and the extended set methods). The modelled two-year average OPv fields show greater spatial hot spots over large urban areas (especially along roadsides) compared to those for PM10 distributions, due to elevated intrinsic OPi values for the primary anthropogenic sources such as traffic and biomass burning. These effects are stronger for the AA compared to the DTT assays, and for a method with a reduced set compared to an extended set of sources. Overall, through the OP apportionment, these results advocate for reinforcing action plans to reduce emissions from road traffic as well as biomass burning emissions. specialized FRANCE 050 056 021 967 178813 [18 ] 2025 0048-9697 https://www.documentation.ird.fr/hor/fdi:010094509 10.1016/j.scitotenv.2025.178813 0048-9697 [F B010094509] https://www.documentation.ird.fr/hor/fdi:010094509 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2025-08/010094509.pdf IRD - Base Horizon / Pleins textes 2025-07-16 2025-11-04 fdi:010094509 fre