Calculations of the conversion factor from organic carbon to organic matter for aerosol mass balance

Aerosol mass balance studies based on filter samples require a conversion factor to derive organic matter (OM) concentrations from organic carbon (OC) measurements from thermo-optical methods. This factor provides indirect insights on the molecular structure of OM needed in chemical transport models. Site- and season-specific ratios of OC to OM (fOM:OC) were calculated using data from five rural background sites in France between 2012 and 2021 by relating the unidentified chemical fraction in PM2.5 samples to thermo-optical OC concentrations. Further, multiple linear formulations were used to evaluate the impact of possible artefacts on the determination of fOM:OC. The resulting fOM:OC was then compared to other estimates derived from online aerosol mass spectrometry data, showing good agreement. The spatial and temporal variability in fOM:OC is discussed considering factors such as seasonality, meteorological conditions and the atmospheric oxidative potential. Linear-mixed effect models were formulated to quantitatively determine the drivers which influence the fOM:OC at the French rural background sites. Both ozone and relative humidity were variables with statistically significant effects on fOM:OC, indicating that differences in the contributions from both photooxidation and water content, explain the variability in fOM:OC observed at the French rural background sites. Site-specific fOM:OC yielded more accurate PM2.5 mass closure and are therefore recommended in mass-balance exercises. Accurate fOM:OC are critical to maintain consistency in OM time series, especially in cases where filter-based time series may be replaced by state-of-the-art online instrumentation.

Authors

Institutions

Publication Details

Journal
Atmospheric Pollution Research
Published
2024-09-03
DOI
https://doi.org/10.1016/j.apr.2024.102301
Citations
3
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
1.13

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Calculations of the conversion factor from organic carbon to organic matter for aerosol mass balance

Aude Bourin, Joël Brito, Sébastien Conil, Anna Font et al.
3 citations
Atmospheric Pollution Research
Atmospheric chemistry and aerosols
1.13
article

Calculations of the conversion factor from organic carbon to organic matter for aerosol mass balance

Aude Bourin, Joël Brito, Sébastien Conil, Anna Font, Véronique Riffault, Jean‐Luc Jaffrezo
article en
3 citations

Abstract

Aerosol mass balance studies based on filter samples require a conversion factor to derive organic matter (OM) concentrations from organic carbon (OC) measurements from thermo-optical methods. This factor provides indirect insights on the molecular structure of OM needed in chemical transport models. Site- and season-specific ratios of OC to OM (fOM:OC) were calculated using data from five rural background sites in France between 2012 and 2021 by relating the unidentified chemical fraction in PM2.5 samples to thermo-optical OC concentrations. Further, multiple linear formulations were used to evaluate the impact of possible artefacts on the determination of fOM:OC. The resulting fOM:OC was then compared to other estimates derived from online aerosol mass spectrometry data, showing good agreement. The spatial and temporal variability in fOM:OC is discussed considering factors such as seasonality, meteorological conditions and the atmospheric oxidative potential. Linear-mixed effect models were formulated to quantitatively determine the drivers which influence the fOM:OC at the French rural background sites. Both ozone and relative humidity were variables with statistically significant effects on fOM:OC, indicating that differences in the contributions from both photooxidation and water content, explain the variability in fOM:OC observed at the French rural background sites. Site-specific fOM:OC yielded more accurate PM2.5 mass closure and are therefore recommended in mass-balance exercises. Accurate fOM:OC are critical to maintain consistency in OM time series, especially in cases where filter-based time series may be replaced by state-of-the-art online instrumentation.

Atmospheric Pollution ResearchVol. 15(12)
Centre National de la Recherche Scientifique (FR), Institut Mines-Télécom (FR), Université de Lille (FR), École des Métiers de l’Environnement (FR), Institut des Géosciences de l'Environnement (FR), Centre Inria de l'Université de Lille (FR), Agence Nationale pour la Gestion des Déchets Radioactifs (FR), Institut de Recherche pour le Développement (FR), Université Grenoble Alpes (FR)
Ministero della transizione ecologica, European Cooperation in Science and Technology, Agence Nationale de la Recherche, Ministère de la Transition écologique et Solidaire, Conseil Régional Hauts-de-France, Région Occitanie Pyrénées-Méditerranée, Agence de la transition écologique, European Regional Development Fund
Clean water and sanitation
Openalex Percentile: Top 25%
Atmospheric chemistry and aerosols
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.