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Analysis of spatial factors, time-activity and infiltration on outdoor generated PM2.5 exposures of school children in five European cities

Korhonen Antti, Relvas Hélder, Miranda Ana Isabel, Ferreira Joana, Lopes Diogo, Rafael Sandra, Almeida Susana Marta, Faria Tiago, Martins Vânia, Canha Nuno, Diapouli Evangelia, Eleftheriadis, Konstantinos, Chalvatzaki Eleftheria, Lazaridis Michail, Lehtomäki Heli, Rumrich Isabell, Hänninen, Otto

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URIhttp://purl.tuc.gr/dl/dias/43C1D240-265A-4D65-9681-4D365962A549-
Identifierhttps://doi.org/10.1016/j.scitotenv.2021.147111-
Identifierhttps://www.sciencedirect.com/science/article/pii/S0048969721021811-
Languageen-
Extent9 pagesen
TitleAnalysis of spatial factors, time-activity and infiltration on outdoor generated PM2.5 exposures of school children in five European citiesen
CreatorKorhonen Anttien
CreatorRelvas Hélderen
CreatorMiranda Ana Isabelen
CreatorFerreira Joanaen
CreatorLopes Diogoen
CreatorRafael Sandraen
CreatorAlmeida Susana Martaen
CreatorFaria Tiagoen
CreatorMartins Vâniaen
CreatorCanha Nunoen
CreatorDiapouli Evangeliaen
CreatorEleftheriadis, Konstantinosen
CreatorChalvatzaki Eleftheriaen
CreatorΧαλβατζακη Ελευθεριαel
CreatorLazaridis Michailen
CreatorΛαζαριδης Μιχαηλel
CreatorLehtomäki Helien
CreatorRumrich Isabellen
CreatorHänninen, Ottoen
PublisherElsevieren
Content SummaryAtmospheric particles are a major environmental health risk. Assessments of air pollution related health burden are often based on outdoor concentrations estimated at residential locations, ignoring spatial mobility, time-activity patterns, and indoor exposures. The aim of this work is to quantify impacts of these factors on outdoor-originated fine particle exposures of school children. We apply nested WRF-CAMx modelling of PM2.5 concentrations, gridded population, and school location data. Infiltration and enrichment factors were collected and applied to Athens, Kuopio, Lisbon, Porto, and Treviso. Exposures of school children were calculated for residential and school outdoor and indoor, other indoor, and traffic microenvironments. Combined with time-activity patterns six exposure models were created. Model complexity was increased incrementally starting from residential and school outdoor exposures. Even though levels in traffic and outdoors were considerably higher, 80–84% of the exposure to outdoor particles occurred in indoor environments. The simplest and also commonly used approach of using residential outdoor concentrations as population exposure descriptor (model 1), led on average to 26% higher estimates (15.7 μg/m3) compared with the most complex model (# 6) including home and school outdoor and indoor, other indoor and traffic microenvironments (12.5 μg/m3). These results emphasize the importance of including spatial mobility, time-activity and infiltration to reduce bias in exposure estimates.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2023-01-11-
Date of Publication2021-
SubjectExposureen
SubjectMisclassificationen
SubjectTime-activityen
SubjectSpatial mobilityen
SubjectInfiltrationen
SubjectMicroenvironmenten
SubjectParticulate matteren
SubjectHealth impact assessmenten
Bibliographic CitationA. Korhonen, H. Relvas, A. I. Miranda, J. Ferreira, D. Lopes, S. Rafael, S. M. Almeida, T. Faria, V. Martins, N. Canha, E. Diapouli, K. Eleftheriadis, E. Chalvatzaki, M. Lazaridis, H. Lehtomäki, I. Rumrich, and O. Hänninen, “Analysis of spatial factors, time-activity and infiltration on outdoor generated PM2.5 exposures of school children in five European cities,” Sci. Total Environ., vol. 785, Sep. 2021, doi: 10.1016/j.scitotenv.2021.147111.en

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