Tracking of atmospheric release of pollution using unmanned aerial vehicles

Atmospheric Environment

Volumn 67, Issue , 2013, Pages 425-436

  Šmídl, Václav ^a   Hofman, Radek ^a  

^a INSTITUTE OF INFORMATION THEORY AND AUTOMATION   (Czech Republic)

Author keywords

Atmospheric dispersion model; Data assimilation; Mutual information; Sensor positioning; Sequential Monte Carlo

Indexed keywords

ATMOSPHERIC DISPERSION MODELS; DATA ASSIMILATION; MUTUAL INFORMATIONS; SENSOR POSITIONING; SEQUENTIAL MONTE CARLO;

ATMOSPHERIC MOVEMENTS; MONTE CARLO METHODS; NUCLEAR POWER PLANTS; POLLUTION; SENSORS; WEATHER FORECASTING;

UNMANNED AERIAL VEHICLES (UAV);

ATMOSPHERIC MODELING; ATMOSPHERIC POLLUTION; DATA ASSIMILATION; DESIGN; DISPERSION; NUMERICAL MODEL; POWER PLANT; TRAFFIC EMISSION;

ACCURACY; AIR POLLUTION; AIRCRAFT; ALGORITHM; ARTICLE; ATMOSPHERE; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; DATA PROCESSING; DECISION THEORY; DISPERSION; ENTROPY; FILTER; NUCLEAR POWER PLANT; POLLUTION MONITORING; PRIORITY JOURNAL; RADIATION EXPOSURE; SENSOR; WEATHER;

EID: 84871007052     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2012.10.054     Document Type: Article

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