Scientific direction Development of key enabling technologies
Transfer of knowledge to industry

PhD : selection by topics

Engineering science >> Environment and pollution
1 proposition(s).

Crowdsensing for identifying sources of air pollution using a network of low-cost multimodal gas sensors

Département Systèmes

Laboratoire Signaux et Systèmes de Capteurs

01-10-2019

SL-DRT-19-0542

sylvain.leirens@cea.fr

Crowdsensing for the identification of air pollution sources relies on the use of a large number of low-cost multimodal gas sensors. The subject of the thesis covers the implementation of this network of sensors for the identification of high emitters in urban road traffic. It is now recognized that a small number of highly polluting vehicles is responsible for a large fraction of the pollution generated by the road traffic, while urban air quality is becoming a growing concern in Europe. The thesis work will consist in formulating and solving a problem of separation and localization of mobile air pollution sources in urban environment with a network of mobile sensors. Measurement campaigns will be carried out to validate experimentally the approach developed in the thesis.

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