Aerosol Plume Characterisation from Multi-Temporal Hyperspectral Analysis.

In this paper we focus on airborne hyperspectral imaging methodology to characterize PM (Particulate Matter) size near industrial plume emission source. Two intensive campaigns were conducted in the vicinity of a refinery in the south of France, in September 2015 and February 2016. During the campaigns different observation protocols of PM were deployed. A multi temporal methodology to retrieve aerosol type, to map the aerosol concentration and to quantify mass flow rate from airborne hyperspectral data is described in this paper. This method applied to the refinery main stack give a black carbon ratio around 10% and aerosol size mode less than 100 nm with a metric spatial resolution. These results show a good agreement with in-situ measurements and flow rate modelling.