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dc.date.accessioned2016-05-20T09:18:26Z
dc.date.available2016-05-20T09:18:26Z
dc.date.created2010-10-04T08:08:50Z
dc.date.issued2011
dc.identifier.citationHalse, Anne Karine Schlabach, Martin Eckhardt, Sabine Sweetman, Andy Jones, Kevin C Breivik, Knut . Spatial variability of POPs in European background air. Atmospheric Chemistry and Physics. 2011, 11(4), 1549-1564
dc.identifier.urihttp://hdl.handle.net/10852/50321
dc.description.abstractPassive air samplers (PAS) were deployed at 86 European background sites during summer 2006 in order (i) to gain further insight into spatial patterns of persistent organic pollutants (POPs) in European background air and, (ii) to evaluate PAS as an alternative sampling technique under EMEP (Co-operative programme for monitoring and evaluation of the long-range transmissions of air pollutants in Europe). The samples were analyzed for selected PCBs, HCHs, DDTs, HCB, PAHs and chlordanes, and air concentrations were calculated on the basis of losses of performance reference compounds. Air concentrations of PCBs were generally lowest in more remote areas of northern Europe with elevated levels in more densely populated areas. γ-HCH was found at elevated levels in more central parts of Europe, whereas α-HCH, β-HCH and DDTs showed higher concentrations in the south-eastern part. There was no clear spatial pattern in the concentrations for PAHs, indicative of influence by local sources, rather than long range atmospheric transport (LRAT). HCB was evenly distributed across Europe, while the concentrations of chlordanes were typically low or non-detectable. A comparison of results obtained on the basis of PAS and active air sampling (AAS) illustrated that coordinated PAS campaigns have the potential serve as useful inter-comparison exercises within and across existing monitoring networks. The results also highlighted limitations of the current EMEP measurement network with respect to spatial coverage. We finally adopted an existing Lagrangian transport model (FLEXPART) as recently modified to incorporate key processes relevant for POPs to evaluate potential source regions affecting observed concentrations at selected sites. Using PCB-28 as an example, the model predicted concentrations which agreed within a factor of 3 with PAS measurements for all except 1 out of the 17 sites selected for this analysis.en_US
dc.languageEN
dc.language.isoenen_US
dc.publisherCopernicus
dc.rightsAttribution 3.0 Unported
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.titleSpatial variability of POPs in European background airen_US
dc.typeJournal articleen_US
dc.creator.authorHalse, Anne Karine
dc.creator.authorSchlabach, Martin
dc.creator.authorEckhardt, Sabine
dc.creator.authorSweetman, Andy
dc.creator.authorJones, Kevin C
dc.creator.authorBreivik, Knut
cristin.unitcode185,15,12,0
cristin.unitnameKjemisk institutt
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin339165
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Atmospheric Chemistry and Physics&rft.volume=11&rft.spage=1549&rft.date=2011
dc.identifier.jtitleAtmospheric Chemistry and Physics
dc.identifier.volume11
dc.identifier.issue4
dc.identifier.startpage1549
dc.identifier.endpage1564
dc.identifier.doihttp://dx.doi.org/10.5194/acp-11-1549-2011
dc.identifier.urnURN:NBN:no-53952
dc.type.documentTidsskriftartikkelen_US
dc.type.peerreviewedPeer reviewed
dc.source.issn1680-7316
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/50321/1/acp-11-1549-2011.pdf
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/50321/2/suppl-acp-11-1549-2011.zip
dc.type.versionPublishedVersion


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