Analyse exploratoire des mesures de particules ultrafines en temps réel dans des enceintes ferroviaires souterraines de transport public

Rayana, T. Ben; Hemmendinger, Maud; Crézé, Camille; Wild, Pascal; Sauvain, Jean‐Jacques; Suárez, Guillaume; Besançon, Sophie; Methy, N.; Sakthithasan, Kirushanthi; Carillo, Grégory; Debatisse, A.; Jouannique, V.; Guinhouya, Benjamin C.; Canu, Irina Guseva

doi:10.1016/j.admp.2022.01.005

Cited by 2 publications

(1 citation statement)

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“…Since the presence of ultrafine particles (UFPs) in subway networks was pointed out as a concern, it seems suitable in the future to include UFP concentrations in our database as well. As for the time being, UFPs are not subject to any regulation, and their measurements in the Parisian subway are still exceptional [55][56][57]. Moreover, details on the chemical composition of PMs, especially their heavy metal content, which plays a role in the biological inflammation caused by these pollutants [24,25], would be important to assess in the future.…”

Section: Strengths and Limitations Of The Databasementioning

confidence: 99%

Sixteen-Year Monitoring of Particulate Matter Exposure in the Parisian Subway: Data Inventory and Compilation in a Database

et al. 2022

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The regularly reported associations between particulate matter (PM) exposure, and morbidity and mortality due to respiratory, cardiovascular, cancer, and metabolic diseases have led to the reduction in recommended outdoor PM10 and PM2.5 exposure limits. However, indoor PM10 and PM2.5 concentrations in subway systems in many cities are often higher than outdoor concentrations. The effects of these exposures on subway workers and passengers are not well known, mainly because of the challenges in exposure assessment and the lack of longitudinal studies combining comprehensive exposure and health surveillance. To fulfill this gap, we made an inventory of the PM measurement campaigns conducted in the Parisian subway since 2004. We identified 5856 PM2.5 and 18,148 PM10 results from both personal and stationary air sample measurements that we centralized in a database along with contextual information of each measurement. This database has extensive coverage of the subway network and will enable descriptive and analytical studies of indoor PM exposure in the Parisian subway and its potential effects on human health.

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