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The application of a multi-wavelength Aethalometer to estimate iron dust and black carbon concentrations in the marine boundary layer of Cape Verde

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dc.contributor.authorFialho, Paulo
dc.contributor.authorCerqueira, Mário
dc.contributor.authorPio, Casimiro
dc.contributor.authorCardoso, João
dc.contributor.authorNunes, Teresa
dc.contributor.authorCustódio, Danilo
dc.contributor.authorAlves, Célia A.
dc.contributor.authorAlmeida, S. M.
dc.contributor.authorAlmeida-Silva, M.
dc.contributor.authorReis, M. A.
dc.contributor.authorRocha, F.
dc.date.accessioned2018-01-19T17:45:45Z
dc.date.available2018-01-19T17:45:45Z
dc.date.issued2014
dc.date.updated2015-01-26T13:29:32Z
dc.description.abstractThe two-component model (Fialho et al., 2006) was used to decouple the contributions of black carbon (BC) and iron oxides, present in dust, to the aerosol attenuation coefficient, measured with a multiwavelength Aethalometer. The model results were compared with the elemental carbon (EC) and iron concentrations determined in the laboratory from the analysis of aerosol particles collected with conventional samplers. The comparison was based on one year of data obtained at Praia, Santiago Island, Cape Verde, after side by side operation of the aerosol monitoring instruments. The linear regression equation that best describes the relationship between BC concentrations, derived from the Aethalometer, and EC concentrations, derived from a PM10 high-volume sampler after filter analysis with a thermal optical method, presents a slope of 1.01 ± 0.05 and a correlation coefficient (r) of 0.90, showing that the model worked as intended to describe BC concentrations without interferences from iron dust. On the other hand, the linear regression equation that best describes the relationship between the iron concentrations derived from the Aethalometer and elemental iron concentrations, derived from a PM10 lowvolume sampler after filter analysis by k0 e Instrumental Neutron Activation Analysis, presents a slope of 0.495 ± 0.014 and a correlation coefficient (r) of 0.96. These results show that the two-component model underestimated the iron concentrations in dust aerosol, which was explained by differences in the size range of particles sampled with the Aethalometer and the PM10 low-volume sampler together with differences in the size distribution of iron oxides.en
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFialho, P.; Cerqueira, M.; Pio, C.; Cardoso, J.; Nunes, T.; Custódio, D.; Alves, C.; Almeida, S.M.; Almeida-Silva, M.; Reis, M.; Rocha, F. (2014). The application of a multi-wavelength Aethalometer to estimate iron dust and black carbon concentrations in the marine boundary layer of Cape Verde, "Atmospheric Environment", 97: 136-143. DOI: 10.1016/j.atmosenv.2014.08.008pt_PT
dc.identifier.doi10.1016/j.atmosenv.2014.08.008pt_PT
dc.identifier.issn1352-2310
dc.identifier.urihttp://hdl.handle.net/10400.3/4552
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationCV-Dust - Atmospheric aerosol in Cape Verde region: seasonal evaluation of composition, sources and transport
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S1352231014006025pt_PT
dc.subjectIron Dusten
dc.subjectBlack Carbonen
dc.subjectAethalometeren
dc.subjectTwo-Component Modelen
dc.subjectCape Verdeen
dc.titleThe application of a multi-wavelength Aethalometer to estimate iron dust and black carbon concentrations in the marine boundary layer of Cape Verdeen
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCV-Dust - Atmospheric aerosol in Cape Verde region: seasonal evaluation of composition, sources and transport
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876-PPCDTI/PTDC%2FAAC-CLI%2F100331%2F2008/PT
oaire.citation.endPage143pt_PT
oaire.citation.startPage136pt_PT
oaire.citation.titleAtmospheric Environmenten
oaire.citation.volume97pt_PT
oaire.fundingStream5876-PPCDTI
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublication4f9b5311-bf2b-4c66-a470-dadf6d7a5ab5
relation.isProjectOfPublication.latestForDiscovery4f9b5311-bf2b-4c66-a470-dadf6d7a5ab5

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