Estimating particulate matter health impact related to the combustion of different fossil fuels

Jeroen Kuenen 1 Benoît Gschwind 2 Kamila M. Drebszok 3 Daniel Stetter 4 Richard Kranenburg 1 Carlijn Hendriks 1 Mireille Lefèvre 2, * Isabelle Blanc 2 Artur Wyrwa 3 Martijn Schaap 1
* Auteur correspondant
1 TNO Institute of Environmental Sciences
2 O.I.E. - Centre Observation, Impacts, Énergie
3 AGH UST - AGH University of Science and Technology [Krakow, PL]
4 ITT - DLR Institut für Technische Thermodynamik / Institute of Engineering Thermodynamics
Abstract : Exposure to particulate matter (PM) in ambient air leads to adverse health effects. To design cost effective mitigation strategies, a thorough understanding of the sources of particulate matter is crucial. We have successfully generated a web map service that allows to access information on fuel dependent health effects due to particulate matter. For this purpose, the LOTOS-EUROS air pollution model was equipped with a source apportionment module that tracks the origin of the modelled particulate matter distributions throughout a simulation. Combined with a dedicated emission inventory PM2.5 maps specified by fuel type were generated for 2007-2009. These maps were combined with a health impact calculation to estimate Lost of Life Expectancy for each fuel categories. An user friendly web client was generated to access the results and use the web mapping service in an easy manner.
Mots-clés : environment assessment impact energy scenario Europe web
Type de document :
Communication dans un congrès
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https://hal-mines-paristech.archives-ouvertes.fr/hal-00858231
Contributeur : Lucien Wald <>
Soumis le : jeudi 5 septembre 2013 - 05:39:20
Dernière modification le : jeudi 19 décembre 2019 - 01:18:03
Archivage à long terme le : vendredi 6 décembre 2013 - 04:17:59

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Jeroen Kuenen, Benoît Gschwind, Kamila M. Drebszok, Daniel Stetter, Richard Kranenburg, et al.. Estimating particulate matter health impact related to the combustion of different fossil fuels. 27th International Conference on Informatics for Environmental Protection, Sep 2013, Hambourg, Germany. pp.171. ⟨hal-00858231⟩

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