Publication:
An evaluation of source apportionment of fine OC and PM 2.5 by multiple methods: APHH-Beijing campaigns as a case study

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dc.contributor.authorXu, Jingsha
dc.contributor.authorSrivastava, Deepchandra
dc.contributor.authorWu, Xuefang
dc.contributor.authorHou, Siqi
dc.contributor.authorVu, Tuan V.
dc.contributor.authorLiu, Di
dc.contributor.authorSun, Yele
dc.contributor.authorVlachou, Athanasia
dc.contributor.authorMoschos, Vaios
dc.contributor.authorSalazar Quintero, Gary Abdiel
dc.contributor.authorSzidat, Sönke
dc.contributor.authorPrévôt, André S. H.
dc.contributor.authorFu, Pingqing
dc.contributor.authorHarrison, Roy M.
dc.contributor.authorShi, Zongbo
dc.date.accessioned2024-09-02T17:25:56Z
dc.date.available2024-09-02T17:25:56Z
dc.date.issued2021
dc.description.abstractThis study aims to critically evaluate the source apportionment of fine particles by multiple receptor modelling approaches, including carbon mass balance modelling of filter-based radiocarbon (14C) data, Chemical Mass Balance (CMB) and Positive Matrix Factorization (PMF) analysis on filter-based chemical speciation data, and PMF analysis on Aerosol Mass Spectrometer (AMS-PMF) or Aerosol Chemical Speciation Monitor (ACSM-PMF) data. These data were collected as part of the APHH-Beijing (Atmospheric Pollution and Human Health in a Chinese Megacity) field observation campaigns from 10th November to 12th December in winter 2016 and from 22nd May to 24th June in summer 2017. 14C analysis revealed the predominant contribution of fossil fuel combustion to carbonaceous aerosols in winter compared with non-fossil fuel sources, which is supported by the results from other methods. An extended Gelencs´er (EG) method incorporating 14C data, as well as the CMB and AMS/ACSM-PMF methods, generated a consistent source apportionment for fossil fuel related primary organic carbon. Coal combustion, traffic and biomass burning POC were comparable for CMB and AMS/ACSM-PMF. There are uncertainties in the EG method when estimating biomass burning and cooking OC. The POC from cooking estimated by different methods was poorly correlated, suggesting a large uncertainty when differentiating this source type. The PM2.5 source apportionment results varied between different methods. Through a comparison and correlation analysis of CMB, PMF and AMS/ACSM-PMF, the CMB method appears to give the most complete and representative source apportionment of Beijing aerosols. Based upon the CMB results, fine aerosols in Beijing were mainly secondary inorganic ion formation, secondary organic aerosol formation, primary coal combustion and from biomass burning emissions.
dc.description.numberOfPages24
dc.description.sponsorshipDepartement für Chemie, Biochemie und Pharmazie (DCBP)
dc.identifier.doi10.48350/155723
dc.identifier.pmid33241811
dc.identifier.publisherDOI10.1039/D0FD00095G
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/41836
dc.language.isoen
dc.publisherRoyal Society of Chemistry
dc.relation.ispartofFaraday Discussions
dc.relation.issn1364-5498
dc.relation.organizationDCD5A442C08FE17DE0405C82790C4DE2
dc.relation.organizationDCD5A442C14DE17DE0405C82790C4DE2
dc.subject.ddc500 - Science::540 - Chemistry
dc.titleAn evaluation of source apportionment of fine OC and PM 2.5 by multiple methods: APHH-Beijing campaigns as a case study
dc.typearticle
dspace.entity.typePublication
oaire.citation.endPage313
oaire.citation.startPage290
oaire.citation.volume226
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oairecerif.author.affiliationDepartement für Chemie, Biochemie und Pharmazie (DCBP)
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unibe.date.licenseChanged2021-04-23 09:55:23
unibe.description.ispublishedpub
unibe.eprints.legacyId155723
unibe.journal.abbrevTitleFaraday Disc.
unibe.refereedTRUE
unibe.subtype.articlejournal

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