De l’importance de la spéciation de la fraction organique pour l’évaluation des sources de particules dans l’air ambiant

Abstract : PM10 source apportionment was performed by positive matrix factorization (PMF) using specific primary and secondary organic molecular markers on samples collected over a one year period (2013) in Grenoble and at the SIRTA station. This station represents the suburban background air quality conditions of the Paris area (25 km SW from Paris city center) during an intense PM pollution event in March 2015 (PM10 > 50 μg m-3 for several days). Results provided a 9- and 11-factor optimum solution, including sources rarely apportioned such as two types of primary biogenic organic aerosols (fungal spores and plant debris), as well as specific biogenic and anthropogenic secondary organic aerosols (SOA). These sources were identified thanks to the use of key organic markers namely polyols, odd number higher alkanes, and several SOA markers related to the oxidation of isoprene, α-pinene, toluene polycyclic aromatic hydrocarbons (PAHs) and phenolic compounds. Findings of this work demonstrate that the speciation of the organic aerosol fraction and the input of specific molecular markers into source-receptor model are a powerful tool to discriminate OA sources and to get a better understanding of PM origins.
Document type :
Journal articles
Complete list of metadatas

Cited literature [2 references]  Display  Hide  Download

https://hal-ineris.archives-ouvertes.fr/ineris-01869671
Contributor : Gestionnaire Civs <>
Submitted on : Thursday, September 6, 2018 - 3:51:17 PM
Last modification on : Friday, September 7, 2018 - 1:11:30 AM
Long-term archiving on : Saturday, December 8, 2018 - 12:31:03 AM

File

2017-437.pdf
Publication funded by an institution

Identifiers

  • HAL Id : ineris-01869671, version 1

Collections

Citation

Alexandre Albinet, Olivier Favez. De l’importance de la spéciation de la fraction organique pour l’évaluation des sources de particules dans l’air ambiant. Rapport Scientifique INERIS, 2017, 2016-2017, pp.58-59. ⟨ineris-01869671⟩

Share

Metrics

Record views

424

Files downloads

16