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, Bilan des données de la campagne feu de bois

, Niveaux d'exposition moyens (écarts-types)

. Bd, . Be, and . .. Bi, Measuring number, mass, and size of exhaust particles with diffusion chargers : The dual pegasor particle sensor, Expositions moyennes par environnement pour les volontaires, 2016.

. Borghi, , 2017.

, Miniaturized Monitors for Assessment of Exposure to Air Pollutants, p.17

. Fig and . S3, Chamber controlled tests for NO2 sensor C

, b : sum of ethylbenzene, m-p-xylene and o-xylene. c : hourly averages minimum -hourly averages maximum

. Ait-helal, respectively), both including a co mparison between two 155 contrasting locations. Seco et al. (2013) analysed measurements taken at a central urban location in Barcelona and a rural site (Montseny) in winter, Paris city centre in 2010. Two other studies used for comparison, 2009.

, Measurements from our study were below the levels at the London background site for all VOCs. SIRTA showed levels very close to the observations at Montseny (rural area)

, These contrasts in air mass origin and meteorological parameters highlight that weather conditions are important drivers for 195

, amb ient concentrations, in addition to the emissions' variability impact on concentration dynamics. Strong winds and vertical d ilut ion within the mixed layer enhance pollutant dispersion. Furthermore, low temperatures are favourable conditions for pollutant accumulation while enhancing wood burning activities