@article{fdi:010094509,
  title = {{M}odelling oxidative potential of atmospheric particle : a 2-year study over {F}rance},
  author = {{V}ida, {M}. and {F}oret, {G}. and {S}iour, {G}. and {J}affrezo, {J}.{L}. and {F}avez, {O}. and {C}holakian, {A}. and {C}ozic, {J}. and {D}upont, {H}. and {G}ille, {G}. and {O}ppo, {S}. and {Z}hang, {S}. and {F}rancony, {F}. and {P}allares, {C}. and {C}onil, {S}. and {U}zu, {G}a{\¨e}lle and {B}eekmann, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he oxidative potential ({OP}) of particulate matter ({PM}) has emerged as a promising indicator of the adverse effects of {PM} on human health. {I}n particular, {OP} is an indicator for oxidative stress in biological media through formation of reactive oxygen species. {T}o provide a mapping of the spatial and temporal {OP} variability over {F}rance, we have developed a strategy to simulate the volume-normalized oxidative potential ({OP}v) in the state-of-the-art {CHIMERE} air quality model over the metropolitan {F}rench territory for the years 2013 and 2014. {T}o do so, we combined a measurement-derived and source specific intrinsic {OP} ({OP}i) receptor modelling approach with {P}article {S}ource {A}pportionment {T}echnology ({PSAT}) in {CHIMERE}. {F}irst, the model's ability to reproduce {PM}10 concentrations and speciation was verified using in situ observations in mainland {F}rance. {F}urthermore, a mostly satisfying correspondence between receptor model and {PSAT} outputs was obtained considering their source specific chemical profiles. {S}imulated versus observed {OP}v 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). {T}he modelled two-year average {OP}v fields show greater spatial hot spots over large urban areas (especially along roadsides) compared to those for {PM}10 distributions, due to elevated intrinsic {OP}i values for the primary anthropogenic sources such as traffic and biomass burning. {T}hese 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. {O}verall, through the {OP} apportionment, these results advocate for reinforcing action plans to reduce emissions from road traffic as well as biomass burning emissions.},
  keywords = {{FRANCE}},
  booktitle = {},
  journal = {{S}cience of {T}he {T}otal {E}nvironment},
  volume = {967},
  numero = {},
  pages = {178813 [18 ]},
  ISSN = {0048-9697},
  year = {2025},
  DOI = {10.1016/j.scitotenv.2025.178813},
  URL = {https://www.documentation.ird.fr/hor/fdi:010094509},
}