Source apportionment of ultrafine particles in urban Europe
There is a body of evidence that ultrafine particles (UFP, those with diameters ≤ 100 nm) might have significant impacts on health. Accordingly, identifying sources of UFP is essential to develop abatement policies. This study focuses on urban Europe, and aims at identifying sources and quantifying...
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/373021 |
| Acceso en línea: | http://hdl.handle.net/10261/373021 https://api.elsevier.com/content/abstract/scopus_id/85209538915 |
| Access Level: | acceso abierto |
| Palabra clave: | Ultrafine particles Air quality New particle formation Particle number size distributions Positive matrix factorization Traffic emissions http://metadata.un.org/sdg/13 http://metadata.un.org/sdg/11 http://metadata.un.org/sdg/9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation Make cities and human settlements inclusive, safe, resilient and sustainable Take urgent action to combat climate change and its impacts |
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Source apportionment of ultrafine particles in urban Europe |
| title |
Source apportionment of ultrafine particles in urban Europe |
| spellingShingle |
Source apportionment of ultrafine particles in urban Europe Garcia-Marlès, Meritxell Ultrafine particles Air quality New particle formation Particle number size distributions Positive matrix factorization Traffic emissions http://metadata.un.org/sdg/13 http://metadata.un.org/sdg/11 http://metadata.un.org/sdg/9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation Make cities and human settlements inclusive, safe, resilient and sustainable Take urgent action to combat climate change and its impacts |
| title_short |
Source apportionment of ultrafine particles in urban Europe |
| title_full |
Source apportionment of ultrafine particles in urban Europe |
| title_fullStr |
Source apportionment of ultrafine particles in urban Europe |
| title_full_unstemmed |
Source apportionment of ultrafine particles in urban Europe |
| title_sort |
Source apportionment of ultrafine particles in urban Europe |
| dc.creator.none.fl_str_mv |
Garcia-Marlès, Meritxell Lara, Rosa Reche, Cristina Pérez, Noemí Tobías, Aurelio Savadkoohi, Marjan Beddows, David Salma, Imre Vörösmarty, Máté Weidinger, Tamás Hueglin, Christoph Mihalopoulos, Nikos Grivas, Georgios Kalkavouras, Panayiotis Ondracek, Jakub Zikova, Nadezda Niemi, Jarkko V. Manninen, Hanna E. Green, David C. Tremper, Anja H. Norman, Michael Vratolis, Stergios Diapouli, Evangelia Eleftheriadis, Konstantinos Gómez-Moreno, Francisco J. Alonso-Blanco, Elisabeth Wiedensohler, Alfred Weinhold, Kay Merkel, Maik Bastian, Susanne Hoffmann, Barbara Altug, Hicran Petit, Jean-Eudes Acharja, Prodip Favez, Olivier Santos, Sebastiao Martins Dos Putaud, Jean-Philippe Dinoi, Adelaide Contini, Daniele Casans, Andrea Casquero-Vera, Juan Andrés Crumeyrolle, Suzanne Bourrianne, Eric Poppel, Martine Van Dreesen, Freja E. Harni, Sami Timonen, Hilkka Lampilahti, Janne Petäjä, Tuukka Pandolfi, Marco Hopke, Philip K. Harrison, Roy M. Alastuey, Andrés Querol, Xavier |
| author |
Garcia-Marlès, Meritxell |
| author_facet |
Garcia-Marlès, Meritxell Lara, Rosa Reche, Cristina Pérez, Noemí Tobías, Aurelio Savadkoohi, Marjan Beddows, David Salma, Imre Vörösmarty, Máté Weidinger, Tamás Hueglin, Christoph Mihalopoulos, Nikos Grivas, Georgios Kalkavouras, Panayiotis Ondracek, Jakub Zikova, Nadezda Niemi, Jarkko V. Manninen, Hanna E. Green, David C. Tremper, Anja H. Norman, Michael Vratolis, Stergios Diapouli, Evangelia Eleftheriadis, Konstantinos Gómez-Moreno, Francisco J. Alonso-Blanco, Elisabeth Wiedensohler, Alfred Weinhold, Kay Merkel, Maik Bastian, Susanne Hoffmann, Barbara Altug, Hicran Petit, Jean-Eudes Acharja, Prodip Favez, Olivier Santos, Sebastiao Martins Dos Putaud, Jean-Philippe Dinoi, Adelaide Contini, Daniele Casans, Andrea Casquero-Vera, Juan Andrés Crumeyrolle, Suzanne Bourrianne, Eric Poppel, Martine Van Dreesen, Freja E. Harni, Sami Timonen, Hilkka Lampilahti, Janne Petäjä, Tuukka Pandolfi, Marco Hopke, Philip K. Harrison, Roy M. Alastuey, Andrés Querol, Xavier |
| author_role |
author |
| author2 |
Lara, Rosa Reche, Cristina Pérez, Noemí Tobías, Aurelio Savadkoohi, Marjan Beddows, David Salma, Imre Vörösmarty, Máté Weidinger, Tamás Hueglin, Christoph Mihalopoulos, Nikos Grivas, Georgios Kalkavouras, Panayiotis Ondracek, Jakub Zikova, Nadezda Niemi, Jarkko V. Manninen, Hanna E. Green, David C. Tremper, Anja H. Norman, Michael Vratolis, Stergios Diapouli, Evangelia Eleftheriadis, Konstantinos Gómez-Moreno, Francisco J. Alonso-Blanco, Elisabeth Wiedensohler, Alfred Weinhold, Kay Merkel, Maik Bastian, Susanne Hoffmann, Barbara Altug, Hicran Petit, Jean-Eudes Acharja, Prodip Favez, Olivier Santos, Sebastiao Martins Dos Putaud, Jean-Philippe Dinoi, Adelaide Contini, Daniele Casans, Andrea Casquero-Vera, Juan Andrés Crumeyrolle, Suzanne Bourrianne, Eric Poppel, Martine Van Dreesen, Freja E. Harni, Sami Timonen, Hilkka Lampilahti, Janne Petäjä, Tuukka Pandolfi, Marco Hopke, Philip K. Harrison, Roy M. Alastuey, Andrés Querol, Xavier |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
European Commission 0000-0003-2680-5627 0000-0003-2667-5973 0000-0003-2420-6727 0000-0002-3707-2601 0000-0001-9277-2099 0000-0001-8319-1647 0000-0002-6973-522X 0000-0001-5023-7039 0000-0002-7295-8723 0000-0003-0629-257X 0000-0001-8753-386X 0000-0002-8244-2018 0000-0002-8435-5575 0000-0003-1516-5927 0000-0001-5453-4938 0000-0002-8821-1923 0000-0001-9785-8561 0000-0002-1869-3963 0000-0003-4454-0642 0000-0001-7142-5362 0000-0002-7987-7985 0000-0002-6549-9899 Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Ultrafine particles Air quality New particle formation Particle number size distributions Positive matrix factorization Traffic emissions http://metadata.un.org/sdg/13 http://metadata.un.org/sdg/11 http://metadata.un.org/sdg/9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation Make cities and human settlements inclusive, safe, resilient and sustainable Take urgent action to combat climate change and its impacts |
| topic |
Ultrafine particles Air quality New particle formation Particle number size distributions Positive matrix factorization Traffic emissions http://metadata.un.org/sdg/13 http://metadata.un.org/sdg/11 http://metadata.un.org/sdg/9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation Make cities and human settlements inclusive, safe, resilient and sustainable Take urgent action to combat climate change and its impacts |
| description |
There is a body of evidence that ultrafine particles (UFP, those with diameters ≤ 100 nm) might have significant impacts on health. Accordingly, identifying sources of UFP is essential to develop abatement policies. This study focuses on urban Europe, and aims at identifying sources and quantifying their contributions to particle number size distribution (PNSD) using receptor modelling (Positive Matrix Factorization, PMF), and evaluating long-term trends of these source contributions using the non-parametric Theil-Sen's method. Datasets evaluated include 14 urban background (UB), 5 traffic (TR), 4 suburban background (SUB), and 1 regional background (RB) sites, covering 18 European and 1 USA cities, over the period, when available, from 2009 to 2019. Ten factors were identified (4 road traffic factors, photonucleation, urban background, domestic heating, 2 regional factors and long-distance transport), with road traffic being the primary contributor at all UB and TR sites (56-95 %), and photonucleation being also significant in many cities. The trends analyses showed a notable decrease in traffic-related UFP ambient concentrations, with statistically significant decreasing trends for the total traffic-related factors of -5.40 and -2.15 % yr-1 for the TR and UB sites, respectively. This abatement is most probably due to the implementation of European emissions standards, particularly after the introduction of diesel particle filters (DPFs) in 2011. However, DPFs do not retain nucleated particles generated during the dilution of diesel exhaust semi-volatile organic compounds (SVOCs). Trends in photonucleation were more diverse, influenced by a reduction in the condensation sink potential facilitating new particle formation (NPF) or by a decrease in the emissions of UFP precursors. The decrease of primary PM emissions and precursors of UFP also contributed to the reduction of urban and regional background sources. |
| publishDate |
2024 |
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2024 2024 2024 |
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info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
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article |
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http://hdl.handle.net/10261/373021 https://api.elsevier.com/content/abstract/scopus_id/85209538915 |
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http://hdl.handle.net/10261/373021 https://api.elsevier.com/content/abstract/scopus_id/85209538915 |
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Inglés |
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Inglés |
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#PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/H2020/101036245 Environment international https://doi.org/10.1016/j.envint.2024.109149 Sí |
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Elsevier |
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Source apportionment of ultrafine particles in urban EuropeGarcia-Marlès, MeritxellLara, RosaReche, CristinaPérez, NoemíTobías, AurelioSavadkoohi, MarjanBeddows, DavidSalma, ImreVörösmarty, MátéWeidinger, TamásHueglin, ChristophMihalopoulos, NikosGrivas, GeorgiosKalkavouras, PanayiotisOndracek, JakubZikova, NadezdaNiemi, Jarkko V.Manninen, Hanna E.Green, David C.Tremper, Anja H.Norman, MichaelVratolis, StergiosDiapouli, EvangeliaEleftheriadis, KonstantinosGómez-Moreno, Francisco J.Alonso-Blanco, ElisabethWiedensohler, AlfredWeinhold, KayMerkel, MaikBastian, SusanneHoffmann, BarbaraAltug, HicranPetit, Jean-EudesAcharja, ProdipFavez, OlivierSantos, Sebastiao Martins DosPutaud, Jean-PhilippeDinoi, AdelaideContini, DanieleCasans, AndreaCasquero-Vera, Juan AndrésCrumeyrolle, SuzanneBourrianne, EricPoppel, Martine VanDreesen, Freja E.Harni, SamiTimonen, HilkkaLampilahti, JannePetäjä, TuukkaPandolfi, MarcoHopke, Philip K.Harrison, Roy M.Alastuey, AndrésQuerol, XavierUltrafine particlesAir qualityNew particle formationParticle number size distributionsPositive matrix factorizationTraffic emissionshttp://metadata.un.org/sdg/13http://metadata.un.org/sdg/11http://metadata.un.org/sdg/9Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovationMake cities and human settlements inclusive, safe, resilient and sustainableTake urgent action to combat climate change and its impactsThere is a body of evidence that ultrafine particles (UFP, those with diameters ≤ 100 nm) might have significant impacts on health. Accordingly, identifying sources of UFP is essential to develop abatement policies. This study focuses on urban Europe, and aims at identifying sources and quantifying their contributions to particle number size distribution (PNSD) using receptor modelling (Positive Matrix Factorization, PMF), and evaluating long-term trends of these source contributions using the non-parametric Theil-Sen's method. Datasets evaluated include 14 urban background (UB), 5 traffic (TR), 4 suburban background (SUB), and 1 regional background (RB) sites, covering 18 European and 1 USA cities, over the period, when available, from 2009 to 2019. Ten factors were identified (4 road traffic factors, photonucleation, urban background, domestic heating, 2 regional factors and long-distance transport), with road traffic being the primary contributor at all UB and TR sites (56-95 %), and photonucleation being also significant in many cities. The trends analyses showed a notable decrease in traffic-related UFP ambient concentrations, with statistically significant decreasing trends for the total traffic-related factors of -5.40 and -2.15 % yr-1 for the TR and UB sites, respectively. This abatement is most probably due to the implementation of European emissions standards, particularly after the introduction of diesel particle filters (DPFs) in 2011. However, DPFs do not retain nucleated particles generated during the dilution of diesel exhaust semi-volatile organic compounds (SVOCs). Trends in photonucleation were more diverse, influenced by a reduction in the condensation sink potential facilitating new particle formation (NPF) or by a decrease in the emissions of UFP precursors. The decrease of primary PM emissions and precursors of UFP also contributed to the reduction of urban and regional background sources.This work is supported by the RI-URBANS project (Research Infrastructures Services Reinforcing Air Quality Monitoring Capacities in European Urban & Industrial Areas, European Union’s Horizon 2020 research and innovation program, Green Deal, European Commission, contract 101036245), the “Agencia Estatal de Investigación” from the Spanish Ministry of Science and Innovation under the project CAIAC (PID2019-108990RB-I00), FEDER funds under the projects AIRPHONEMA (PID2022-142160OB-I00), and the Generalitat de Catalunya (AGAUR 2021 SGR 00447). It is also partly supported by the Hungarian Research, Development and Innovation Office (grant no. K132254). Marjan Savadkoohi thanks her FPI grant (PRE-2020-095498). The authors acknowledge ACTRIS and National and City authorities for providing PNC-PNSD datasets.Peer reviewedElsevierEuropean Commission0000-0003-2680-56270000-0003-2667-59730000-0003-2420-67270000-0002-3707-26010000-0001-9277-20990000-0001-8319-16470000-0002-6973-522X0000-0001-5023-70390000-0002-7295-87230000-0003-0629-257X0000-0001-8753-386X0000-0002-8244-20180000-0002-8435-55750000-0003-1516-59270000-0001-5453-49380000-0002-8821-19230000-0001-9785-85610000-0002-1869-39630000-0003-4454-06420000-0001-7142-53620000-0002-7987-79850000-0002-6549-9899Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/373021https://api.elsevier.com/content/abstract/scopus_id/85209538915reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/H2020/101036245Environment internationalhttps://doi.org/10.1016/j.envint.2024.109149Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3730212026-05-22T06:33:51Z |
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15,811543 |