Tracking of atmospheric release of pollution using unmanned aerial vehicles

0385368 - ÚTIA 2014 RIV GB eng J - Journal Article
Šmídl, Václav - Hofman, Radek
Tracking of atmospheric release of pollution using unmanned aerial vehicles.
Atmospheric Environment. Roč. 67, č. 1 (2013), s. 425-436. ISSN 1352-2310. E-ISSN 1873-2844
R&D Projects: GA MV VG20102013018
Institutional support: RVO:67985556
Keywords : Data assimilation * Atmospheric dispersion model * Sequential Monte Carlo * Sensor positioning
Subject RIV: BC - Control Systems Theory
Impact factor: 3.062, year: 2013
http://library.utia.cas.cz/separaty/2012/AS/smidl-0385368.pdf

Tracking of an atmospheric release of pollution is usually based on measurements provided by stationary networks, occasionally complemented with deployment of mobile sensors. In this paper, we extend the existing concept to the case where the sensors are carried onboard of unmanned aerial vehicles (UAVs). The decision theoretic framework is used to design an unsupervised algorithm that navigates the UAVs to minimize the selected loss function. A particle filter with a problem-tailored proposal function was used as the underlying data assimilation procedure. A range of simulated twin experiments was performed on the problem of tracking an accidental release of radiation from a nuclear power plant in realistic settings. The main uncertainty was in the released activity and in parametric bias of the numerical weather forecast. It was shown that the UAVs can complement the existing stationary network to improve the accuracy of data assimilation.
Permanent Link: http://hdl.handle.net/11104/0007437