Source apportionment of PM10 based on offline chemical speciation data at 24 European sites

This study applied Positive Matrix Factorization (PMF) to PM10 speciation datasets from 24 urban sites across six European countries (France, Greece, Italy, Portugal, Spain, and Switzerland) to perform a detailed source apportionment (SA) analysis. By using a consistent source apportionment tool for...

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Detalhes bibliográficos
Autores: Liu, Xiansheng, Rosa Díaz, Jesús de la, Querol, X.
Formato: artículo
Fecha de publicación:2025
País:España
Recursos:Universidad de Huelva (UHU)
Repositorio:Arias Montano. Repositorio Institucional de la Universidad de Huelva
Idioma:inglés
OAI Identifier:oai:ariasmontano.uhu.es:10272/27524
Acesso em linha:https://hdl.handle.net/10272/27524
Access Level:acceso abierto
Palavra-chave:3308 Ingeniería y Tecnología del Medio Ambiente
2509 Meteorología
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spelling Source apportionment of PM10 based on offline chemical speciation data at 24 European sitesLiu, XianshengRosa Díaz, Jesús de laQuerol, X.3308 Ingeniería y Tecnología del Medio Ambiente2509 MeteorologíaThis study applied Positive Matrix Factorization (PMF) to PM10 speciation datasets from 24 urban sites across six European countries (France, Greece, Italy, Portugal, Spain, and Switzerland) to perform a detailed source apportionment (SA) analysis. By using a consistent source apportionment tool for all datasets, the study enhances the comparability of PM10 SA results across urban Europe. The results identified seven major PM10 sources including road traffic, biomass burning, crustal/mineral sources, secondary aerosols, industrial emissions, sea salt, and heavy oil combustion (HOC). Road traffic emerged as the predominant source of PM10 in urban areas, with contributions varying by location, but representing as much as 41%in high-traffic zones. Biomass burning was detected at 23 sites, contributing 8% to 41%on yearly averages, with substantial increase in winter. Crustal sources were present at all sites (3–33%). Industrial sources contributed relatively less PM10 mass, which was identified at 10 sites with contributions ranging from 2%to 14%. Secondary inorganic and organic aerosol, consisting primarily of ammoniumnitrates and sulfates, and organicmatter, formed a portion of the PM10mass (5–41%). These secondary factors are primarily influenced by anthropogenic emissions, including the various combustionprocesses.Sea salt,predominantly foundincoastal areas,contributed between 4%and 21%, reflecting the impact of themarine environments on air quality. This source was very often ‘aged’ (mixed with anthropogenic pollutants from different origins). Additionally, HOC, especiallyemits fromshipping activities, and traced by V andNi, was also a frequent contributing source (2–15%for 9 sites), indicating a need formore stringent emission controls. The chemical comparison is performed which indicates road traffic and secondary aerosols, showed consistent chemical profiles across sites, while industrial, HOC, and crustal sources displayed significant site-specific variability. These findings underscore the need for tailored air quality strategies according to local sources of emissions and the importance of long-term PM speciation monitoring for effective pollution control.Nature Research20252025-01-0120252025-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10272/27524reponame:Arias Montano. Repositorio Institucional de la Universidad de Huelvainstname:Universidad de Huelva (UHU)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ariasmontano.uhu.es:10272/275242026-06-02T14:58:11Z
dc.title.none.fl_str_mv Source apportionment of PM10 based on offline chemical speciation data at 24 European sites
title Source apportionment of PM10 based on offline chemical speciation data at 24 European sites
spellingShingle Source apportionment of PM10 based on offline chemical speciation data at 24 European sites
Liu, Xiansheng
3308 Ingeniería y Tecnología del Medio Ambiente
2509 Meteorología
title_short Source apportionment of PM10 based on offline chemical speciation data at 24 European sites
title_full Source apportionment of PM10 based on offline chemical speciation data at 24 European sites
title_fullStr Source apportionment of PM10 based on offline chemical speciation data at 24 European sites
title_full_unstemmed Source apportionment of PM10 based on offline chemical speciation data at 24 European sites
title_sort Source apportionment of PM10 based on offline chemical speciation data at 24 European sites
dc.creator.none.fl_str_mv Liu, Xiansheng
Rosa Díaz, Jesús de la
Querol, X.
author Liu, Xiansheng
author_facet Liu, Xiansheng
Rosa Díaz, Jesús de la
Querol, X.
author_role author
author2 Rosa Díaz, Jesús de la
Querol, X.
author2_role author
author
dc.contributor.none.fl_str_mv
dc.subject.none.fl_str_mv 3308 Ingeniería y Tecnología del Medio Ambiente
2509 Meteorología
topic 3308 Ingeniería y Tecnología del Medio Ambiente
2509 Meteorología
description This study applied Positive Matrix Factorization (PMF) to PM10 speciation datasets from 24 urban sites across six European countries (France, Greece, Italy, Portugal, Spain, and Switzerland) to perform a detailed source apportionment (SA) analysis. By using a consistent source apportionment tool for all datasets, the study enhances the comparability of PM10 SA results across urban Europe. The results identified seven major PM10 sources including road traffic, biomass burning, crustal/mineral sources, secondary aerosols, industrial emissions, sea salt, and heavy oil combustion (HOC). Road traffic emerged as the predominant source of PM10 in urban areas, with contributions varying by location, but representing as much as 41%in high-traffic zones. Biomass burning was detected at 23 sites, contributing 8% to 41%on yearly averages, with substantial increase in winter. Crustal sources were present at all sites (3–33%). Industrial sources contributed relatively less PM10 mass, which was identified at 10 sites with contributions ranging from 2%to 14%. Secondary inorganic and organic aerosol, consisting primarily of ammoniumnitrates and sulfates, and organicmatter, formed a portion of the PM10mass (5–41%). These secondary factors are primarily influenced by anthropogenic emissions, including the various combustionprocesses.Sea salt,predominantly foundincoastal areas,contributed between 4%and 21%, reflecting the impact of themarine environments on air quality. This source was very often ‘aged’ (mixed with anthropogenic pollutants from different origins). Additionally, HOC, especiallyemits fromshipping activities, and traced by V andNi, was also a frequent contributing source (2–15%for 9 sites), indicating a need formore stringent emission controls. The chemical comparison is performed which indicates road traffic and secondary aerosols, showed consistent chemical profiles across sites, while industrial, HOC, and crustal sources displayed significant site-specific variability. These findings underscore the need for tailored air quality strategies according to local sources of emissions and the importance of long-term PM speciation monitoring for effective pollution control.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-01-01
2025
2025-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10272/27524
url https://hdl.handle.net/10272/27524
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Nature Research
publisher.none.fl_str_mv Nature Research
dc.source.none.fl_str_mv reponame:Arias Montano. Repositorio Institucional de la Universidad de Huelva
instname:Universidad de Huelva (UHU)
instname_str Universidad de Huelva (UHU)
reponame_str Arias Montano. Repositorio Institucional de la Universidad de Huelva
collection Arias Montano. Repositorio Institucional de la Universidad de Huelva
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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