TY - JOUR
T1 - European aerosol phenomenology − 8
T2 - Harmonised source apportionment of organic aerosol using 22 Year-long ACSM/AMS datasets
AU - COLOSSAL ACSM collaboration
AU - Chen, Gang
AU - Canonaco, Francesco
AU - Tobler, Anna
AU - Aas, Wenche
AU - Alastuey, Andres
AU - Allan, James
AU - Atabakhsh, Samira
AU - Aurela, Minna
AU - Baltensperger, Urs
AU - Bougiatioti, Aikaterini
AU - De Brito, Joel F.
AU - Ceburnis, Darius
AU - Chazeau, Benjamin
AU - Chebaicheb, Hasna
AU - Daellenbach, Kaspar R.
AU - Ehn, Mikael
AU - El Haddad, Imad
AU - Eleftheriadis, Konstantinos
AU - Favez, Olivier
AU - Flentje, Harald
AU - Font, Anna
AU - Fossum, Kirsten
AU - Freney, Evelyn
AU - Gini, Maria
AU - Green, David C.
AU - Heikkinen, Liine
AU - Herrmann, Hartmut
AU - Kalogridis, Athina Cerise
AU - Keernik, Hannes
AU - Lhotka, Radek
AU - Lin, Chunshui
AU - Lunder, Chris
AU - Maasikmets, Marek
AU - Manousakas, Manousos I.
AU - Marchand, Nicolas
AU - Marin, Cristina
AU - Marmureanu, Luminita
AU - Mihalopoulos, Nikolaos
AU - Močnik, Griša
AU - Nęcki, Jaroslaw
AU - O'Dowd, Colin
AU - Ovadnevaite, Jurgita
AU - Peter, Thomas
AU - Petit, Jean Eudes
AU - Pikridas, Michael
AU - Matthew Platt, Stephen
AU - Pokorná, Petra
AU - Poulain, Laurent
AU - Priestman, Max
AU - Riffault, Véronique
N1 - Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.
PY - 2022/8/1
Y1 - 2022/8/1
N2 - 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 to improve/validate air quality, health impact, and climate models.
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 to improve/validate air quality, health impact, and climate models.
KW - European Overview
KW - Harmonised Protocol
KW - Long-term Datasets
KW - Organic Aerosol
KW - Rolling PMF
KW - Source apportionment
UR - https://www.scopus.com/pages/publications/85132343841
U2 - 10.1016/j.envint.2022.107325
DO - 10.1016/j.envint.2022.107325
M3 - Article
C2 - 35716508
AN - SCOPUS:85132343841
SN - 0160-4120
VL - 166
JO - Environment International
JF - Environment International
M1 - 107325
ER -