LMD/IPSL, Laboratoire de Météorologie Dynamique, Sorbonne Université, Ecole Polytechnique, IPSL Research University, Ecole Normale Supérieure, CNRS, 75252 Paris, France
Konstandinos Markakis
LMD/IPSL, Laboratoire de Météorologie Dynamique, Sorbonne Université, Ecole Polytechnique, IPSL Research University, Ecole Normale Supérieure, CNRS, 75252 Paris, France
Emilie Powaga
Université Paris-Est, Centre scientifique et Technique du Bâtiment, Direction Santé Confort, Division Physico-chimie – Sources et Transferts de polluants, 38400 Saint-Martin-d'Hères, France
Bernard Collignan
Université Paris-Est, Centre scientifique et Technique du Bâtiment, Direction Santé Confort, Division Physico-chimie – Sources et Transferts de polluants, 38400 Saint-Martin-d'Hères, France
Olivier Perrussel
AIRPARIF, Association de surveillance de qualité de l'air en Île-de-France, 7 rue Crillon, 75004 Paris, France
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2,357
827
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3,257
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PDF: 827
XML: 73
Total: 3,257
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BibTeX: 91
EndNote: 129
Views and downloads (calculated since 18 Oct 2019)
Cumulative views and downloads
(calculated since 18 Oct 2019)
Total article views: 2,754 (including HTML, PDF, and XML)
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2,078
614
62
2,754
172
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118
HTML: 2,078
PDF: 614
XML: 62
Total: 2,754
Supplement: 172
BibTeX: 81
EndNote: 118
Views and downloads (calculated since 10 Mar 2020)
Cumulative views and downloads
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Total article views: 503 (including HTML, PDF, and XML)
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279
213
11
503
10
11
HTML: 279
PDF: 213
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Total: 503
BibTeX: 10
EndNote: 11
Views and downloads (calculated since 18 Oct 2019)
Cumulative views and downloads
(calculated since 18 Oct 2019)
Viewed (geographical distribution)
Total article views: 3,257 (including HTML, PDF, and XML)
Thereof 3,003 with geography defined
and 254 with unknown origin.
Total article views: 2,754 (including HTML, PDF, and XML)
Thereof 2,566 with geography defined
and 188 with unknown origin.
Total article views: 503 (including HTML, PDF, and XML)
Thereof 437 with geography defined
and 66 with unknown origin.
To understand how atmospheric pollution affects human health, we need to know the inhaled dose of pollutants. We develop a model that follows the individuals of a population during their daily activities and estimates pollutant concentration levels in the ambient air. We show that certain practices, such as biking in the city, expose people to PM2.5 concentration levels higher than the WHO recommendations. We also show that living in green buildings will significantly decrease exposure to ozone.
To understand how atmospheric pollution affects human health, we need to know the inhaled dose...