Cluster analysis of urban ultrafine particles size distributions
Measurements of particle size distribution was made in one location of an urban area in the period January–September/2015 in order to understand the sources and mechanisms influencing ultrafine particle (UFP) number concentrations (PNC2.5-250) using a Scanning Mobility Particle Sizer Spectrometer (S...
- Autores:
-
Braga Ferreira, Marcel
Rolim Alves, Sílvia Beatriz
Silva Oliveira, Luis Felipe
Beddows, David C .S.
Harrison, Roy M.
Querol, Xavier
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/4183
- Acceso en línea:
- https://hdl.handle.net/11323/4183
https://repositorio.cuc.edu.co/
- Palabra clave:
- Clusters analysis
Nanoparticles
Particle number concentration
Particle size distribution
Ultrafine particles
Análisis de clusters
Nanopartículas
Concentración del número de partículas
Distribución de tamaño de partícula
Partículas ultrafinas
- Rights
- openAccess
- License
- Attribution-NonCommercial-ShareAlike 4.0 International
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oai:repositorio.cuc.edu.co:11323/4183 |
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repository_id_str |
|
dc.title.spa.fl_str_mv |
Cluster analysis of urban ultrafine particles size distributions |
dc.title.translated.spa.fl_str_mv |
Análisis de grupos de distribuciones de tamaño de partículas ultrafinas urbanas |
title |
Cluster analysis of urban ultrafine particles size distributions |
spellingShingle |
Cluster analysis of urban ultrafine particles size distributions Clusters analysis Nanoparticles Particle number concentration Particle size distribution Ultrafine particles Análisis de clusters Nanopartículas Concentración del número de partículas Distribución de tamaño de partícula Partículas ultrafinas |
title_short |
Cluster analysis of urban ultrafine particles size distributions |
title_full |
Cluster analysis of urban ultrafine particles size distributions |
title_fullStr |
Cluster analysis of urban ultrafine particles size distributions |
title_full_unstemmed |
Cluster analysis of urban ultrafine particles size distributions |
title_sort |
Cluster analysis of urban ultrafine particles size distributions |
dc.creator.fl_str_mv |
Braga Ferreira, Marcel Rolim Alves, Sílvia Beatriz Silva Oliveira, Luis Felipe Beddows, David C .S. Harrison, Roy M. Querol, Xavier |
dc.contributor.author.spa.fl_str_mv |
Braga Ferreira, Marcel Rolim Alves, Sílvia Beatriz Silva Oliveira, Luis Felipe Beddows, David C .S. Harrison, Roy M. Querol, Xavier |
dc.subject.spa.fl_str_mv |
Clusters analysis Nanoparticles Particle number concentration Particle size distribution Ultrafine particles Análisis de clusters Nanopartículas Concentración del número de partículas Distribución de tamaño de partícula Partículas ultrafinas |
topic |
Clusters analysis Nanoparticles Particle number concentration Particle size distribution Ultrafine particles Análisis de clusters Nanopartículas Concentración del número de partículas Distribución de tamaño de partícula Partículas ultrafinas |
description |
Measurements of particle size distribution was made in one location of an urban area in the period January–September/2015 in order to understand the sources and mechanisms influencing ultrafine particle (UFP) number concentrations (PNC2.5-250) using a Scanning Mobility Particle Sizer Spectrometer (SMPS). kmeans cluster analysis was applied to interpret the sources, temporal and spatial trends of UFP. Eight clusters were obtained. Main PSD patterns of each cluster, mean concentration of other air pollutants tracing specific sources and processes, and that of meteorological variables, as well as the hourly and seasonal frequencies of occurrence were used to support the interpretation of their origin. Thus, clusters were attributed to traffic rush hours, midday summer new particle formation, diurnal new particle formation and growth, growth of nucleated and other urban particles, urban background, regional and urban background and regional and urban background on cold nights. Many PSDs of the clusters were dominated by nucleation mode particles: midday nucleated fresh particles, photochemically induced (NPF); diurnal nucleation episodes (NPF2); growth of nucleated particles in nocturnal aging (GNPF). Origins of the clusters were related to local/regional sources (mostly traffic and biomass burning), atmospheric processes (photochemical formation and growth) and urban/regional background. Results clearly shows that traffic is a major UFP source in nucleation mode and occurred in higher concentrations in winter (08:00 to 12:00 h) during traffic rush hours, and at night. Photochemical nucleation occurred with a relatively low frequency but yielding very high PNC. |
publishDate |
2018 |
dc.date.issued.none.fl_str_mv |
2018 |
dc.date.accessioned.none.fl_str_mv |
2019-05-17T12:46:32Z |
dc.date.available.none.fl_str_mv |
2019-05-17T12:46:32Z |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
acceptedVersion |
dc.identifier.issn.spa.fl_str_mv |
13091042 |
dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/4183 |
dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
identifier_str_mv |
13091042 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
url |
https://hdl.handle.net/11323/4183 https://repositorio.cuc.edu.co/ |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.references.spa.fl_str_mv |
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On the mode-segregated aerosol particle number concentration load: contributions of primary and secondary particles in Hyytiälä and Nanjing. Boreal Environ. Res. 21, 319–331. Kulmala, M., Vehkamäki, H., Petäjä, T., Dal Maso, M., Lauri, A., Kerminen, V.-M., Birmili, W., McMurry, P.H., 2004. Formation and growth rates of ultrafine atmospheric particles: a review of observations. J. Aerosol Sci. 35, 143–176. https://doi.org/10. 1016/j.jaerosci.2003.10.003. Kumar, P., Morawska, L., Birmili, W., Paasonen, P., Hu, M., Kulmala, M., Harrison, R.M., Norford, L., Britter, R., 2014. Ultrafine particles in cities. Environ. Int. 66, 1–10. https://doi.org/10.1016/j.envint.2014.01.013. Kumar, P., Pirjola, L., Ketzel, M., Harrison, R.M., 2013. Nanoparticle emissions from 11 non-vehicle exhaust sources – a review. Atmos. Environ. 67, 252–277. https://doi. org/10.1016/j.atmosenv.2012.11.011. Kumar, P., Robins, A., Vardoulakis, S., Britter, R., 2010. 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Wu, Z., Hu, M., Lin, P., Liu, S., Wehner, B., Wiedensohler, A., 2008. Particle number size distribution in the urban atmosphere of Beijing, China. Atmos. Environ. 42, 7967–7980. https://doi.org/10.1016/j.atmosenv.2008.06.022. |
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Braga Ferreira, MarcelRolim Alves, Sílvia BeatrizSilva Oliveira, Luis FelipeBeddows, David C .S.Harrison, Roy M.Querol, Xavier2019-05-17T12:46:32Z2019-05-17T12:46:32Z201813091042https://hdl.handle.net/11323/4183Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Measurements of particle size distribution was made in one location of an urban area in the period January–September/2015 in order to understand the sources and mechanisms influencing ultrafine particle (UFP) number concentrations (PNC2.5-250) using a Scanning Mobility Particle Sizer Spectrometer (SMPS). kmeans cluster analysis was applied to interpret the sources, temporal and spatial trends of UFP. Eight clusters were obtained. Main PSD patterns of each cluster, mean concentration of other air pollutants tracing specific sources and processes, and that of meteorological variables, as well as the hourly and seasonal frequencies of occurrence were used to support the interpretation of their origin. Thus, clusters were attributed to traffic rush hours, midday summer new particle formation, diurnal new particle formation and growth, growth of nucleated and other urban particles, urban background, regional and urban background and regional and urban background on cold nights. Many PSDs of the clusters were dominated by nucleation mode particles: midday nucleated fresh particles, photochemically induced (NPF); diurnal nucleation episodes (NPF2); growth of nucleated particles in nocturnal aging (GNPF). Origins of the clusters were related to local/regional sources (mostly traffic and biomass burning), atmospheric processes (photochemical formation and growth) and urban/regional background. Results clearly shows that traffic is a major UFP source in nucleation mode and occurred in higher concentrations in winter (08:00 to 12:00 h) during traffic rush hours, and at night. Photochemical nucleation occurred with a relatively low frequency but yielding very high PNC.Las mediciones de la distribución del tamaño de partícula se realizaron en una ubicación de un área urbana en el período de enero a septiembre de 2015 con el fin de comprender las fuentes y los mecanismos que influyen en las concentraciones numéricas de partículas ultrafinas (UFP) (PNC2.5-250) utilizando una partícula de escaneo de movilidad. Espectrómetro Sizer (SMPS). El análisis de clústeres de kmeans se aplicó para interpretar las fuentes, las tendencias temporales y espaciales de la UFP. Se obtuvieron ocho conglomerados. Los patrones principales de PSD de cada grupo, la concentración media de otros contaminantes del aire que rastrean las fuentes y los procesos específicos, y la de las variables meteorológicas, así como las frecuencias horarias y estacionales de ocurrencia se utilizaron para respaldar la interpretación de su origen. Por lo tanto, los grupos se atribuyeron a las horas pico de tráfico, la formación de nuevas partículas al mediodía, la formación y el crecimiento diurno de nuevas partículas, el crecimiento de partículas nucleadas y otras partículas urbanas, el fondo urbano, el fondo regional y urbano y el fondo regional y urbano en las noches frías. Muchos PSD de los grupos estaban dominados por partículas en modo de nucleación: partículas frescas nucleadas al mediodía, inducidas fotoquímicamente (NPF); episodios de nucleación diurna (NPF2); Crecimiento de partículas nucleadas en el envejecimiento nocturno (GNPF). Los orígenes de los grupos se relacionaron con las fuentes locales / regionales (principalmente la quema de tráfico y biomasa), los procesos atmosféricos (formación y crecimiento fotoquímicos) y los antecedentes urbanos / regionales. Los resultados muestran claramente que el tráfico es una fuente importante de UFP en el modo de nucleación y ocurrió en concentraciones más altas en invierno (de 08:00 a 12:00 h) durante las horas pico de tráfico y durante la noche. La nucleación fotoquímica se produjo con una frecuencia relativamente baja pero produciendo PNC muy alta.Braga Ferreira, Marcel-0050149b-07f2-4be3-a964-7f6a40ac2b2e-0Rolim Alves, Sílvia Beatriz-ab2930dc-3c1c-41fd-b709-11719c0345e3-0Silva Oliveira, Luis Felipe-5c1c9b54-f160-4f3c-bcd5-b9f532c778af-0Beddows, David C .S.-ef3f4b6c-05e1-4795-8aa7-9d548d9ca3a4-0Harrison, Roy M.-dc33d795-3afa-4f44-a1d4-da5071e45f07-0Querol, Xavier-029b7449-3868-48bd-95f9-2d7890aba7a0-0engAtmospheric Pollution ResearchAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Clusters analysisNanoparticlesParticle number concentrationParticle size distributionUltrafine particlesAnálisis de clustersNanopartículasConcentración del número de partículasDistribución de tamaño de partículaPartículas ultrafinasCluster analysis of urban ultrafine particles size distributionsAnálisis de grupos de distribuciones de tamaño de partículas ultrafinas urbanasArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionAgudelo-Castañeda, D.M., Teixeira, E.C., Rolim, S.B.A., Pereira, F.N., Wiegand, F., 2013. 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Environ. 42, 7967–7980. https://doi.org/10.1016/j.atmosenv.2008.06.022.PublicationORIGINALCluster analysis of urban ultrafine particles size distributions.pdfCluster analysis of urban ultrafine particles size distributions.pdfapplication/pdf1153272https://repositorio.cuc.edu.co/bitstreams/080e9707-25b5-4e13-ac94-774537618151/download78b09074880353e401f99b407845c91dMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81031https://repositorio.cuc.edu.co/bitstreams/e80e4d66-96c4-4a57-ac7a-be800a58c5f8/download934f4ca17e109e0a05eaeaba504d7ce4MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/8c324dee-f3ea-4262-b1e7-dca8f2670571/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAILCluster analysis of urban ultrafine particles size distributions.pdf.jpgCluster analysis of urban ultrafine particles size distributions.pdf.jpgimage/jpeg68456https://repositorio.cuc.edu.co/bitstreams/5c95064e-66f7-4a84-a5fe-33f39a4b224b/downloadd30e2d8eba22ee746673c38e1d043733MD55TEXTCluster analysis of urban ultrafine particles size distributions.pdf.txtCluster analysis of urban ultrafine particles size distributions.pdf.txttext/plain56651https://repositorio.cuc.edu.co/bitstreams/46f72a24-e30a-44e5-9346-f61a0bc33b24/downloadf9b4898905a099cd1be9050fe9ec27deMD5611323/4183oai:repositorio.cuc.edu.co:11323/41832024-09-17 12:50:21.416http://creativecommons.org/licenses/by-nc-sa/4.0/Attribution-NonCommercial-ShareAlike 4.0 Internationalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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 |