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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2,412
848
76
3,336
174
98
145
HTML: 2,412
PDF: 848
XML: 76
Total: 3,336
Supplement: 174
BibTeX: 98
EndNote: 145
Views and downloads (calculated since 18 Oct 2019)
Cumulative views and downloads
(calculated since 18 Oct 2019)
Total article views: 2,832 (including HTML, PDF, and XML)
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Total
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EndNote
2,132
635
65
2,832
174
88
134
HTML: 2,132
PDF: 635
XML: 65
Total: 2,832
Supplement: 174
BibTeX: 88
EndNote: 134
Views and downloads (calculated since 10 Mar 2020)
Cumulative views and downloads
(calculated since 10 Mar 2020)
Total article views: 504 (including HTML, PDF, and XML)
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280
213
11
504
10
11
HTML: 280
PDF: 213
XML: 11
Total: 504
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: 3,336 (including HTML, PDF, and XML)
Thereof 3,080 with geography defined
and 256 with unknown origin.
Total article views: 2,832 (including HTML, PDF, and XML)
Thereof 2,642 with geography defined
and 190 with unknown origin.
Total article views: 504 (including HTML, PDF, and XML)
Thereof 438 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...