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dc.contributor.authorQuimbayo-Duarte, Julian
dc.contributor.authorChemel, Charles
dc.contributor.authorStaquet, Chantal
dc.contributor.authorTroude, Florence
dc.contributor.authorArduini, Gabriele
dc.date.accessioned2021-03-16T00:07:58Z
dc.date.available2021-03-16T00:07:58Z
dc.date.issued2021-02-15
dc.identifier.citationQuimbayo-Duarte , J , Chemel , C , Staquet , C , Troude , F & Arduini , G 2021 , ' Drivers of severe air pollution events in a deep valley during wintertime: a case study from the Arve river valley, France ' , Atmospheric Environment , vol. 247 , 118030 . https://doi.org/10.1016/j.atmosenv.2020.118030
dc.identifier.issn1352-2310
dc.identifier.otherPURE: 22879323
dc.identifier.otherPURE UUID: 3465a6b3-2f4d-4317-8c14-55888ef4f1b5
dc.identifier.otherScopus: 85099461413
dc.identifier.urihttp://hdl.handle.net/2299/24111
dc.description© 2020 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (http://creativecommons.org/licenses/by-nc-nd/4.0/).
dc.description.abstractThe Arve river valley airshed in the French Alps experiences particularly severe air pollution during wintertime stable atmospheric conditions associated with persistent cold-air pools. PM10 data recorded in the region indicate that the urbanised area of the central basin-shape section of the valley is generally the most polluted, with a harmful impact on the health of inhabitants. In the present work, we examine the air pollution transport potential of the Arve river valley airshed using results from high-resolution numerical simulations of a cold-air pool documented as part of the Passy-2015 field campaign. Passive tracers were used to model PM10 with emissions provided by a detailed inventory developed by the local air-quality agency. The observed differential in PM10 levels between valley sections was well captured by the numerical model and could not be explained solely by the differential in emissions. The stagnation, recirculation and ventilation potential of the airshed was evaluated spatially and temporally using integral quantities. The analysis indicated that the central basin-shape section of the valley is poorly ventilated and hence air pollution there would originate mostly from local emission sources. This stagnation zone appears to be almost decoupled from the rest of the airshed. The airshed was decomposed in separate valley sections so as to quantify the fate of the pollutants emitted within each section. Air pollution apportioned according to the contribution of emissions from the different valley sections shows that indeed the central basin-shape section is dominated by local sources. The situation was found more complex in the valley sections further downstream, where the contribution from the sum of the non-local sources can be as large as that from local sources. This study allows to identify the origin of the strong pollution in the Arve river valley, through the link between the local topography, emission sources and pollutant transport.en
dc.format.extent15
dc.language.isoeng
dc.relation.ispartofAtmospheric Environment
dc.subjectMountain valley
dc.subjectNumerical simulation
dc.subjectParticulate air-pollution
dc.subjectWintertime
dc.subjectEnvironmental Science(all)
dc.subjectAtmospheric Science
dc.titleDrivers of severe air pollution events in a deep valley during wintertime: a case study from the Arve river valley, Franceen
dc.contributor.institutionCentre for Atmospheric and Climate Physics Research
dc.contributor.institutionAtmospheric Dynamics & Air Quality
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionPhysics, Astronomy and Mathematics
dc.description.statusPeer reviewed
dc.date.embargoedUntil2022-01-16
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85099461413&partnerID=8YFLogxK
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1016/j.atmosenv.2020.118030
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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