Imperial College London
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DrDavidGreen

Faculty of Medicine, School of Public Health

Senior Research Fellow
 
 
 
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d.green

 
 
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Sir Michael Uren HubWhite City Campus

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Publications

Citation

BibTex format

@article{Chen:2022:10.1016/j.envint.2022.107325,
author = {Chen, G and Canonaco, F and Tobler, A and Aas, W and Alastuey, A and Allan, J and Atabakhsh, S and Aurela, M and Baltensperger, U and Bougiatioti, A and De, Brito JF and Ceburnis, D and Chazeau, B and Chebaicheb, H and Daellenbach, KR and Ehn, M and El, Haddad I and Eleftheriadis, K and Favez, O and Flentje, H and Font, A and Fossum, K and Freney, E and Gini, M and Green, DC and Heikkinen, L and Herrmann, H and Kalogridis, A-C and Keernik, H and Lhotka, R and Lin, C and Lunder, C and Maasikmets, M and Manousakas, MI and Marchand, N and Marin, C and Marmureanu, L and Mihalopoulos, N and Monik, G and Ncki, J and O'Dowd, C and Ovadnevaite, J and Peter, T and Petit, J-E and Pikridas, M and Matthew, Platt S and Pokorná, P and Poulain, L and Priestman, M and Riffault, V and Rinaldi, M and Róaski, K and Schwarz, J and Sciare, J and Simon, L and Skiba, A and Slowik, JG and Sosedova, Y and Stavroulas, I and Styszko, K and Teinemaa, E and Timonen, H and Tremper, A and Vasilescu, J and Via, M and},
doi = {10.1016/j.envint.2022.107325},
journal = {Environment International},
title = {European aerosol phenomenology - 8: Harmonised source apportionment of organic aerosol using 22 Year-long ACSM/AMS datasets},
url = {http://dx.doi.org/10.1016/j.envint.2022.107325},
volume = {166},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Organic aerosol (OA) is a key component of total submicron particulate matter (PM1), and comprehensive knowledge of OA sources across Europe is crucial to mitigate PM1 levels. Europe has a well-established air quality research infrastructure from which yearlong datasets using 21 aerosol chemical speciation monitors (ACSMs) and 1 aerosol mass spectrometer (AMS) were gathered during 2013-2019. It includes 9 non-urban and 13 urban sites. This study developed a state-of-the-art source apportionment protocol to analyse long-term OA mass spectrum data by applying the most advanced source apportionment strategies (i.e., rolling PMF, ME-2, and bootstrap). This harmonised protocol was followed strictly for all 22 datasets, making the source apportionment results more comparable. In addition, it enables quantification of the most common OA components such as hydrocarbon-like OA (HOA), biomass burning OA (BBOA), cooking-like OA (COA), more oxidised-oxygenated OA (MO-OOA), and less oxidised-oxygenated OA (LO-OOA). Other components such as coal combustion OA (CCOA), solid fuel OA (SFOA: mainly mixture of coal and peat combustion), cigarette smoke OA (CSOA), sea salt (mostly inorganic but part of the OA mass spectrum), coffee OA, and ship industry OA could also be separated at a few specific sites. Oxygenated OA (OOA) components make up most of the submicron OA mass (average = 71.1%, range from 43.7 to 100%). Solid fuel combustion-related OA components (i.e., BBOA, CCOA, and SFOA) are still considerable with in total 16.0% yearly contribution to the OA, yet mainly during winter months (21.4%). Overall, this comprehensive protocol works effectively across all sites governed by different sources and generates robust and consistent source apportionment results. Our work presents a comprehensive overview of OA sources in Europe with a unique combination of high time resolution (30-240 min) and long-term data coverage (9-36 months), providing essential information
AU  - Chen,G
AU  - Canonaco,F
AU  - Tobler,A
AU  - Aas,W
AU  - Alastuey,A
AU  - Allan,J
AU  - Atabakhsh,S
AU  - Aurela,M
AU  - Baltensperger,U
AU  - Bougiatioti,A
AU  - De,Brito JF
AU  - Ceburnis,D
AU  - Chazeau,B
AU  - Chebaicheb,H
AU  - Daellenbach,KR
AU  - Ehn,M
AU  - El,Haddad I
AU  - Eleftheriadis,K
AU  - Favez,O
AU  - Flentje,H
AU  - Font,A
AU  - Fossum,K
AU  - Freney,E
AU  - Gini,M
AU  - Green,DC
AU  - Heikkinen,L
AU  - Herrmann,H
AU  - Kalogridis,A-C
AU  - Keernik,H
AU  - Lhotka,R
AU  - Lin,C
AU  - Lunder,C
AU  - Maasikmets,M
AU  - Manousakas,MI
AU  - Marchand,N
AU  - Marin,C
AU  - Marmureanu,L
AU  - Mihalopoulos,N
AU  - Monik,G
AU  - Ncki,J
AU  - O'Dowd,C
AU  - Ovadnevaite,J
AU  - Peter,T
AU  - Petit,J-E
AU  - Pikridas,M
AU  - Matthew,Platt S
AU  - Pokorná,P
AU  - Poulain,L
AU  - Priestman,M
AU  - Riffault,V
AU  - Rinaldi,M
AU  - Róaski,K
AU  - Schwarz,J
AU  - Sciare,J
AU  - Simon,L
AU  - Skiba,A
AU  - Slowik,JG
AU  - Sosedova,Y
AU  - Stavroulas,I
AU  - Styszko,K
AU  - Teinemaa,E
AU  - Timonen,H
AU  - Tremper,A
AU  - Vasilescu,J
AU  - Via,M
AU  - Vodika,P
AU  - Wiedensohler,A
AU  - Zografou,O
AU  - Cruz,Minguillón M
AU  - Prévôt,ASH
DO  - 10.1016/j.envint.2022.107325
PY  - 2022///
SN  - 0160-4120
TI  - European aerosol phenomenology - 8: Harmonised source apportionment of organic aerosol using 22 Year-long ACSM/AMS datasets
T2  - Environment International
UR  - http://dx.doi.org/10.1016/j.envint.2022.107325
UR  - https://www.ncbi.nlm.nih.gov/pubmed/35716508
UR  - http://hdl.handle.net/10044/1/98516
VL  - 166
ER  -
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