Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 3
Articles | Volume 13, issue 3
https://doi.org/10.5194/gmd-13-1075-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-1075-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 3
Model description paper
 | 
10 Mar 2020
Model description paper |  | 10 Mar 2020

EXPLUME v1.0: a model for personal exposure to ambient O3 and PM2.5

Myrto Valari, Konstandinos Markakis, Emilie Powaga, Bernard Collignan, and Olivier Perrussel

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Myrto Valari on behalf of the Authors (07 Jan 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (14 Jan 2020) by Christoph Knote
RR by Anonymous Referee #2 (24 Jan 2020)
ED: Publish as is (27 Jan 2020) by Christoph Knote
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Short summary
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.
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