Characterising an intense PM pollution episode in March 2015 in France from multi-site approach and near real time data : Climatology, variabilities, geographical origins and model evaluation

Abstract : During March 2015, a severe and large-scale particulate matter (PM) pollution episode occurred in France. Measurements in near real-time of the major chemical composition at four different urban background sites across the country (Paris, Creil, Metz and Lyon) allowed the investigation of spatiotemporal variabilities during this episode. A climatology approach showed that all sites experienced clear unusual rain shortage, a pattern that is also found on a longer timescale, highlighting the role of synoptic conditions over Wester-Europe. This episode is characterized by a strong predominance of secondary pollution, and more particularly of ammonium nitrate, which accounted for more than 50% of submicron aerosols at all sites during the most intense period of the episode. Pollution advection is illustrated by similar variabilities in Paris and Creil (distant of around 100 km), as well as trajectory analyses applied on nitrate and sulphate. Local sources, especially wood burning, are however found to contribute to local/ regional sub-episodes, notably in Metz. Finally, simulated concentrations from Chemistry-Transport model CHIMERE were compared to observed ones. Results highlighted different patterns depending on the chemical components and the measuring site, reinforcing the need of such exercises over other pollution episodes and sites.
Document type :
Journal articles
Complete list of metadatas

https://hal-ineris.archives-ouvertes.fr/ineris-01868316
Contributor : Gestionnaire Civs <>
Submitted on : Wednesday, September 5, 2018 - 12:45:24 PM
Last modification on : Wednesday, May 15, 2019 - 4:05:10 AM

Identifiers

Citation

Jean-Eudes Petit, Tanguy Amodeo, Frédérik Meleux, Bertrand Bessagnet, Laurent Menut, et al.. Characterising an intense PM pollution episode in March 2015 in France from multi-site approach and near real time data : Climatology, variabilities, geographical origins and model evaluation. Atmospheric Environment, Elsevier, 2017, 155, pp.68-84. ⟨10.1016/j.atmosenv.2017.02.012⟩. ⟨ineris-01868316⟩

Share

Metrics

Record views

140