URI | http://purl.tuc.gr/dl/dias/43C1D240-265A-4D65-9681-4D365962A549 | - |
Αναγνωριστικό | https://doi.org/10.1016/j.scitotenv.2021.147111 | - |
Αναγνωριστικό | https://www.sciencedirect.com/science/article/pii/S0048969721021811 | - |
Γλώσσα | en | - |
Μέγεθος | 9 pages | en |
Τίτλος | Analysis of spatial factors, time-activity and infiltration on outdoor generated PM2.5 exposures of school children in five European cities | en |
Δημιουργός | Korhonen Antti | en |
Δημιουργός | Relvas Hélder | en |
Δημιουργός | Miranda Ana Isabel | en |
Δημιουργός | Ferreira Joana | en |
Δημιουργός | Lopes Diogo | en |
Δημιουργός | Rafael Sandra | en |
Δημιουργός | Almeida Susana Marta | en |
Δημιουργός | Faria Tiago | en |
Δημιουργός | Martins Vânia | en |
Δημιουργός | Canha Nuno | en |
Δημιουργός | Diapouli Evangelia | en |
Δημιουργός | Eleftheriadis, Konstantinos | en |
Δημιουργός | Chalvatzaki Eleftheria | en |
Δημιουργός | Χαλβατζακη Ελευθερια | el |
Δημιουργός | Lazaridis Michail | en |
Δημιουργός | Λαζαριδης Μιχαηλ | el |
Δημιουργός | Lehtomäki Heli | en |
Δημιουργός | Rumrich Isabell | en |
Δημιουργός | Hänninen, Otto | en |
Εκδότης | Elsevier | en |
Περίληψη | Atmospheric 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 |
Τύπος | Peer-Reviewed Journal Publication | en |
Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
Ημερομηνία | 2023-01-11 | - |
Ημερομηνία Δημοσίευσης | 2021 | - |
Θεματική Κατηγορία | Exposure | en |
Θεματική Κατηγορία | Misclassification | en |
Θεματική Κατηγορία | Time-activity | en |
Θεματική Κατηγορία | Spatial mobility | en |
Θεματική Κατηγορία | Infiltration | en |
Θεματική Κατηγορία | Microenvironment | en |
Θεματική Κατηγορία | Particulate matter | en |
Θεματική Κατηγορία | Health impact assessment | en |
Βιβλιογραφική Αναφορά | A. 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 |