Wide-Positive Matrix Factorisation of particle number size distributions: A new approach accounting for cyclically changing source profiles

8 pages, 5 figures, supplementary data https://doi.org/10.1016/j.scitotenv.2025.180231.-- Data availability: Data is available at doi: https://doi.org/10.25500/edata.bham.00001270

Detalles Bibliográficos
Autores: Beddows, David C. S., Brean, James, Rowell, A., Merkel, Maik, Weinhold, Kay, Dall'Osto, Manuel, Harrison, Roy M.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/402592
Acceso en línea:http://hdl.handle.net/10261/402592
Access Level:acceso abierto
Palabra clave:Positive Matrix Factorisation
PMF
Atmospheric particles
Number size distribution
Long data series
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spelling Wide-Positive Matrix Factorisation of particle number size distributions: A new approach accounting for cyclically changing source profilesBeddows, David C. S.Brean, JamesRowell, A.Merkel, MaikWeinhold, KayDall'Osto, ManuelHarrison, Roy M.Positive Matrix FactorisationPMFAtmospheric particlesNumber size distributionLong data series8 pages, 5 figures, supplementary data https://doi.org/10.1016/j.scitotenv.2025.180231.-- Data availability: Data is available at doi: https://doi.org/10.25500/edata.bham.00001270Particle number size distributions (PNSDs) in the atmosphere are a composite from various sources, and Positive Matrix Factorization (PMF) is commonly used to identify these sources by separating the data into multiple factors, each representing a source which is assumed to emit a constant PNSD over time. However, assuming a constant PNSD for each source overlooks the regular growth and shrinkage of atmospheric particles, which often follow diurnal cycles. ‘Wide-PMF’ restructures the data matrix to place each hourly observation side-by-side; each wide-PMF factor represents a diurnal cycle in the PNSD, capturing formation, emission, growth, shrinkage, and losses, unlike narrow-PMF which presents a time-invariant size distribution whose diurnal cycle has to be inferred from the G-matrix. Using data measured at an urban background site, Wide-PMF reveals diurnal trends in PNSD from each source, and is able to separate photochemical nucleation from traffic nucleation, which are typically inadequately resolved in narrow PMFThis work was supported by the National Centre for Atmospheric Science funded by the U.K. Natural Environment Research Council (R8/H12/83/011) and the European Commission as part of the RI-URBANS project (grant no. 1010362450)This work contributes to the Institut de Ciències del Mar "Severo Ochoa Centre of Excellence" accreditation CEX2024-001494-S funded by AEI 10.13039/501100011033 of the Spanish Ministry of Science and InnovationPeer reviewedElsevierNatural Environment Research Council (UK)European CommissionAgencia Estatal de Investigación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/402592reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/HE/1010362450https://doi.org/10.1016/j.scitotenv.2025.180231Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/4025922026-05-22T06:33:51Z
dc.title.none.fl_str_mv Wide-Positive Matrix Factorisation of particle number size distributions: A new approach accounting for cyclically changing source profiles
title Wide-Positive Matrix Factorisation of particle number size distributions: A new approach accounting for cyclically changing source profiles
spellingShingle Wide-Positive Matrix Factorisation of particle number size distributions: A new approach accounting for cyclically changing source profiles
Beddows, David C. S.
Positive Matrix Factorisation
PMF
Atmospheric particles
Number size distribution
Long data series
title_short Wide-Positive Matrix Factorisation of particle number size distributions: A new approach accounting for cyclically changing source profiles
title_full Wide-Positive Matrix Factorisation of particle number size distributions: A new approach accounting for cyclically changing source profiles
title_fullStr Wide-Positive Matrix Factorisation of particle number size distributions: A new approach accounting for cyclically changing source profiles
title_full_unstemmed Wide-Positive Matrix Factorisation of particle number size distributions: A new approach accounting for cyclically changing source profiles
title_sort Wide-Positive Matrix Factorisation of particle number size distributions: A new approach accounting for cyclically changing source profiles
dc.creator.none.fl_str_mv Beddows, David C. S.
Brean, James
Rowell, A.
Merkel, Maik
Weinhold, Kay
Dall'Osto, Manuel
Harrison, Roy M.
author Beddows, David C. S.
author_facet Beddows, David C. S.
Brean, James
Rowell, A.
Merkel, Maik
Weinhold, Kay
Dall'Osto, Manuel
Harrison, Roy M.
author_role author
author2 Brean, James
Rowell, A.
Merkel, Maik
Weinhold, Kay
Dall'Osto, Manuel
Harrison, Roy M.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Natural Environment Research Council (UK)
European Commission
Agencia Estatal de Investigación (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Positive Matrix Factorisation
PMF
Atmospheric particles
Number size distribution
Long data series
topic Positive Matrix Factorisation
PMF
Atmospheric particles
Number size distribution
Long data series
description 8 pages, 5 figures, supplementary data https://doi.org/10.1016/j.scitotenv.2025.180231.-- Data availability: Data is available at doi: https://doi.org/10.25500/edata.bham.00001270
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/402592
url http://hdl.handle.net/10261/402592
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/EC/HE/1010362450
https://doi.org/10.1016/j.scitotenv.2025.180231
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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