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dc.rights.licenseopenen_US
hal.structure.identifierEnvironnements et Paléoenvironnements OCéaniques [EPOC]
dc.contributor.authorSRIVASTAVA, Deepchandra
hal.structure.identifierInstitut National de l'Environnement Industriel et des Risques [INERIS]
dc.contributor.authorFAVEZ, O.
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorPETIT, J.-E.
hal.structure.identifierInstitut National de l'Environnement Industriel et des Risques [INERIS]
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorZHANG, Y.
hal.structure.identifierOntario Ministry of the Environment and Climate Change
dc.contributor.authorSOFOWOTE, U.M.
hal.structure.identifierCenter for Air Resources Engineering and Science, Clarkson University, Potsdam, NY, USA
hal.structure.identifierDepartment of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
dc.contributor.authorHOPKE, P.K.
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorBONNAIRE, N.
hal.structure.identifierEnvironnements et Paléoenvironnements OCéaniques [EPOC]
dc.contributor.authorPERRAUDIN, Emilie
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorGROS, V.
hal.structure.identifierEnvironnements et Paléoenvironnements OCéaniques [EPOC]
dc.contributor.authorVILLENAVE, Eric
hal.structure.identifierInstitut National de l'Environnement Industriel et des Risques [INERIS]
dc.contributor.authorALBINET, A.
dc.date.accessioned2024-02-27T14:44:08Z
dc.date.available2024-02-27T14:44:08Z
dc.date.issued2019-11
dc.identifier.issn0048-9697en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/188464
dc.description.abstractEnhe present study proposes an advanced methodology to refine the source apportionment of organic aerosol (OA). This methodology is based on the combination of offline and online datasets in a single Positive Matrix Factorization (PMF) analysis using the multilinear engine (ME-2) algorithm and a customized time synchronization procedure. It has been applied to data from measurements conducted in the Paris region (France) during a PM pollution event in March 2015. Measurements included OA ACSM (Aerosol Chemical Speciation Monitor) mass spectra and specific primary and secondary organic molecular markers from PM10 filters on their original time resolution (30 min for ACSM and 4 h for PM10 filters). Comparison with the conventional PMF analysis of the ACSM OA dataset (PMF-ACSM) showed very good agreement for the discrimination between primary and secondary OA fractions with about 75% of the OA mass of secondary origin. Furthermore, the use of the combined datasets allowed the deconvolution of 3 primary OA (POA) factors and 7 secondary OA (SOA) factors. A clear identification of the source/origin of 54% of the total SOA mass could be achieved thanks to specific molecular markers. Specifically, 28% of that fraction was linked to combustion sources (biomass burning and traffic emissions). A clear identification of primary traffic OA was also obtained using the PMF-combined analysis while PMF-ACSM only gave a proxy for this OA source in the form of total hydrocarbon-like OA (HOA) mass concentrations. In addition, the primary biomass burning-related OA source was explained by two OA factors, BBOA and OPOA-like BBOA. This new approach has showed undeniable advantages over the conventional approaches by providing valuable insights into the processes involved in SOA formation and their sources. However, the origins of highly oxidized SOA could not be fully identified due to the lack of specific molecular markers for such aged SOA.
dc.language.isoENen_US
dc.subject.enGEOF
dc.subject.enAerosol chemical speciation monitor (ACSM)
dc.subject.enMolecular markers
dc.subject.enParticulate matter (PM)
dc.subject.enSecondary organic aerosol (SOA)
dc.subject.enSource apportionment
dc.subject.enTime synchronization
dc.title.enSpeciation of organic fractions does matter for aerosol source apportionment. Part 3: Combining off-line and on-line measurements
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.scitotenv.2019.06.378en_US
dc.subject.halChimieen_US
dc.subject.halSciences de l'environnementen_US
dc.description.sponsorshipEuropeAerosols, Clouds, and Trace gases Research InfraStructureen_US
bordeaux.journalScience of the Total Environmenten_US
bordeaux.page944-955en_US
bordeaux.volume690en_US
bordeaux.hal.laboratoriesEPOC : Environnements et Paléoenvironnements Océaniques et Continentaux - UMR 5805en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.teamLPTCen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-03272630
hal.version1
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
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