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  • 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.
  • 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. (en)
Title
  • Tracking of atmospheric release of pollution using unmanned aerial vehicles
  • Tracking of atmospheric release of pollution using unmanned aerial vehicles (en)
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  • Tracking of atmospheric release of pollution using unmanned aerial vehicles
  • Tracking of atmospheric release of pollution using unmanned aerial vehicles (en)
skos:notation
  • RIV/67985556:_____/13:00385368!RIV14-MV0-67985556
http://linked.open...avai/riv/aktivita
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  • I, P(VG20102013018)
http://linked.open...iv/cisloPeriodika
  • 1
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  • 111465
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  • RIV/67985556:_____/13:00385368
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  • Data assimilation; Atmospheric dispersion model; Sequential Monte Carlo; Sensor positioning (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [E0B1F7BDD28E]
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  • Atmospheric Environment
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  • 67
http://linked.open...iv/tvurceVysledku
  • Hofman, Radek
  • Šmídl, Václav
http://linked.open...ain/vavai/riv/wos
  • 000315173300044
issn
  • 1352-2310
number of pages
http://bibframe.org/vocab/doi
  • 10.1016/j.atmosenv.2012.10.054
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