Molecular characterization of organic aerosols in urban and forested areas of Paris using high-resolution mass spectrometry
Résumé
In order to study aerosols in environments influenced by anthropogenic and biogenic emissions to variable extents, PM1 samples were collected during summer 2022 in the greater Paris area (ACROSS campaign, Atmospheric Chemistry Of the Suburban Forest, 14 June to 25 July) at two locations that represent the urban Paris and the suburban forested areas. They were analyzed using high-resolution mass spectrometry (HRMS) together with total carbon (TC) with a thermo-optical method. Both sites are compared here to explore differences in aerosol composition from urban and forested environments. The TC analysis shows similar organic carbon (OC) concentrations at both sites (3.2 ± 1.8 µg m−3 for Paris and 2.9 ± 1.5 µg m−3 for Rambouillet) and higher elemental carbon (EC) values in the urban area. Both OC and EC concentrations did not show significant variations for daytime and nighttime conditions. This work highlights the influence of anthropogenic inputs on the chemical composition of urban and forested areas, derived from the presence of CHO and CHON compounds but also the detection of two sulfur-containing compounds (C5H12SO7 and C10H17NSO7), which could be tentatively assigned as organosulfates. A smaller number of aromatic compounds were observed for clean periods that better represent the local biogenic and anthropogenic contributions in Rambouillet and Paris, respectively.
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Cite 10.25326/682 Jeu de données Pereira, D., Gratien, A., Formenti, P., Giorio, C., Chevaillier, S., Noyalet, G., & Di Biagio, C. (2024). ACROSS_LISA_PRG_OC-EC_L2 [Dataset]. Aeris. https://doi.org/10.25326/682
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Cite 10.25326/681 Jeu de données Pereira, D., Gratien, A., Formenti, P., Giorio, C., Chevaillier, S., & Noyalet, G. (2024). ACROSS_LISA_RambForest_OC-EC_L2 [Dataset]. Aeris. https://doi.org/10.25326/681
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Cite 10.25326/683 Jeu de données Pereira, D., Gratien, A., Di Biagio, C., Giorio, C., & Formenti, P. (2024). ACROSS_LISA_PRG_Orbitrap_L2 [Dataset]. Aeris. https://doi.org/10.25326/683
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Cite 10.25326/684 Jeu de données Pereira, D., Gratien, A., Giorio, C., & Formenti, P. (2024). ACROSS_LISA_RambForest_Orbitrap_L2 [Dataset]. Aeris. https://doi.org/10.25326/684
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Cite 10.25326/573 Jeu de données Di Antonio, L., Di Biagio, C., Gratien, A., Hawkins, L. N., Bergé, A., & Riley, S. (2023). ACROSS_LISA_PRG_METEO_1-Min_L2 [Dataset]. Aeris. https://doi.org/10.25326/573