# Aerosol composition at EMEP remote sites in France: mass balance and de-weathered trends of PM2.5 and its main components

Anna Font, Aude Bourin, Corentin Gouillou, Cécile Debevec, Nicolas Bonnaire, Stéphane Sauvage, Joel F. de Brito, Véronique Riffault

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## To cite this version:

Anna Font, Aude Bourin, Corentin Gouillou, Cécile Debevec, Nicolas Bonnaire, et al.. Aerosol composition at EMEP remote sites in France: mass balance and de-weathered trends of PM2.5 and its main components. EGU 2023 - The 25th European Geosciences Union General Assembly 2023, Apr 2023, Vienne, Austria. 10.5194/egusphere-egu23-940 . hal-04199594

HAL Id: hal-04199594

https://hal.science/hal-04199594v1

Submitted on 8 Sep 2023

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# Aerosol composition at EMEP remote sites in France : mass balance and de-weathered trends of PM2.5 and its main components

**Anna Font**<fnref n="1" />, Aude Bourin<fnref n="1" />, Corentin Gouillou<fnref n="1" />, Cécile Debevec<fnref n="1" />,<fnref n="2" />, Nicolas Bonnaire<fnref n="3" />, Stéphane Sauvage<fnref n="1" />, Joel F. de Brito<fnref n="1" />, and Véronique Riffault<fnref n="1" />

Atmospheric particulate matter with an aerodynamic diameter < 2.5 µm (PM<sub>2.5</sub>) is associated with adverse effects on the climate system, the human health, vegetation and the ecosystems. The World Health Organization (WHO) lowered the guideline limit for PM<sub>2.5</sub> in autumn 2021 and this is exceeded in many regions including rural and remote areas in mainland Europe. Measurements of the chemical composition of PM<sub>2.5</sub> is essential to assess the sources which contribute to PM<sub>2.5</sub> mass concentrations and to further design meaningful policies to tackle sources at their origin.

Here we report 6 years (2014-2020) of PM<sub>2.5</sub> mass and chemical speciation at five remote sites across France belonging to the EMEP network (European Monitoring and Evaluation Programme). The seasonal and spatial variability of aerosol composition and source contributions based on the proximity of sources and long-range transport are discussed. Trends in PM<sub>2.5</sub> and the main components at the five locations were evaluated by means of random-forest modelling coupled with a de-weathering algorithm. This approach is advantageous as resulting trends are driven by changes in emission or atmospheric processes and not by changes in weather conditions and/or long-range transport patterns. Random-forest regression modelling was built using meteorological data, backtrajectory information and temporal variables at each site and quantified the most important factors that explain PM<sub>2.5</sub> concentrations at remote rural areas in France.

All sites observed statistically significant downward trends in PM<sub>2.5</sub> at a rate of -4 to -9% year<sup>-1</sup> for the period 2014 - 2020. The decrease in PM<sub>2.5</sub> concentrations was mostly explained by changes in the secondary inorganic species (sulphate, nitrate and ammonium) and not by changes in primary PM<sub>2.5</sub> emissions. The variability in trends in PM<sub>2.5</sub> and components observed across the sites is discussed with their implications for policy makers.

<footnote n="1">¹IMT Nord Europe, Institut Mines-Télécom, Univ. Lille, Centre for Education, Research and Innovation in Energy and Environment (CERI EE), 59000, Lille, France (anna font@imt-nord-europe.fr)</footnote>

<footnote n="2">²Now at Agence de l'Eau, Douai, France</footnote>

<footnote n="3">³Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Unité mixte CNRS-CEA-UVSQ, 91191 Gif sur Yvette Cedex, France</footnote>