Comparability of semivolatile organic compound concentrations from co-located active and passive air monitoring networks in Europe.


Journal

Environmental science. Processes & impacts
ISSN: 2050-7895
Titre abrégé: Environ Sci Process Impacts
Pays: England
ID NLM: 101601576

Informations de publication

Date de publication:
22 Jun 2022
Historique:
pubmed: 14 5 2022
medline: 25 6 2022
entrez: 13 5 2022
Statut: epublish

Résumé

Passive air sampling (PAS) has been used to monitor semivolatile organic compounds (SVOCs) for the past 20 years, but limitations and uncertainties persist in the derivation of effective sampling volumes, sampling rates, and concentrations. As a result, the comparability of atmospheric levels measured by PAS and concentrations measured by active air sampling (AAS) remains unclear. Long-term PAS data, without conversion into concentrations, provide temporal trends that are similar to, and consistent with, trends from AAS data. However, for more comprehensive environmental and human health assessments of SVOCs, it is also essential to harmonize and pool air concentration data from the major AAS and PAS monitoring networks in Europe. To address this need, we calculated and compared concentration data for 28 SVOCs (including organochlorine pesticides (OCPs), polychlorinated biphenyls (PCBs), polybrominated diphenyl ethers (PBDEs), and polycyclic aromatic hydrocarbons (PAHs)) at the six monitoring sites in Europe with 10 years of co-located AAS (EMEP) and PAS (MONET) data: Birkenes, Košetice, Pallas, Råö, Stórhöfði, and Zeppelin. Atmospheric SVOC concentrations were derived from PAS data using the two most common computation models. Long-term agreement between the AAS and PAS data was strong for most SVOCs and sites, with 79% of the median PAS-derived concentrations falling within a factor of 3 of their corresponding AAS concentrations. However, in both models it is necessary to set a sampler-dependent correction factor to prevent underestimation of concentrations for primarily particle-associated SVOCs. In contrast, the models overestimate concentrations at sites with wind speeds that consistently exceed 4 m s

Identifiants

pubmed: 35546533
doi: 10.1039/d2em00007e
doi:

Substances chimiques

Air Pollutants 0
Hydrocarbons, Chlorinated 0
Organic Chemicals 0
Pesticides 0
Polycyclic Aromatic Hydrocarbons 0
Polychlorinated Biphenyls DFC2HB4I0K

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

898-909

Auteurs

Jiří Kalina (J)

RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic. martin.scheringer@recetox.muni.cz.

Kevin B White (KB)

RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic. martin.scheringer@recetox.muni.cz.

Martin Scheringer (M)

RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic. martin.scheringer@recetox.muni.cz.
Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, 8092 Zürich, Switzerland. scheringer@usys.ethz.ch.

Petra Přibylová (P)

RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic. martin.scheringer@recetox.muni.cz.

Petr Kukučka (P)

RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic. martin.scheringer@recetox.muni.cz.

Ondřej Audy (O)

RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic. martin.scheringer@recetox.muni.cz.

Jakub Martiník (J)

RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic. martin.scheringer@recetox.muni.cz.

Jana Klánová (J)

RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic. martin.scheringer@recetox.muni.cz.

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Classifications MeSH