| bibtype |
J -
Journal Article
|
| ARLID |
0385368 |
| utime |
20240103201739.1 |
| mtime |
20121220235959.9 |
| WOS |
000315173300044 |
| SCOPUS |
84871007052 |
| DOI |
10.1016/j.atmosenv.2012.10.054 |
| title
(primary) (eng) |
Tracking of atmospheric release of pollution using unmanned aerial vehicles |
| specification |
| page_count |
12 s. |
| media_type |
www |
|
| serial |
| ARLID |
cav_un_epca*0256213 |
| ISSN |
1352-2310 |
| title
|
Atmospheric Environment |
| volume_id |
67 |
| volume |
1 (2013) |
| page_num |
425-436 |
| publisher |
|
|
| keyword |
Data assimilation |
| keyword |
Atmospheric dispersion model |
| keyword |
Sequential Monte Carlo |
| keyword |
Sensor positioning |
| author
(primary) |
| ARLID |
cav_un_auth*0101207 |
| name1 |
Šmídl |
| name2 |
Václav |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0228606 |
| name1 |
Hofman |
| name2 |
Radek |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
VG20102013018 |
| agency |
GA MV |
| ARLID |
cav_un_auth*0265869 |
|
| abstract
(eng) |
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. |
| reportyear |
2014 |
| RIV |
BC |
| num_of_auth |
2 |
| mrcbC52 |
4 A 4a 20231122135411.0 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0007437 |
| mrcbT16-e |
ENVIRONMENTALSCIENCES|METEOROLOGYATMOSPHERICSCIENCES |
| mrcbT16-f |
3.797 |
| mrcbT16-g |
0.641 |
| mrcbT16-h |
7.VI |
| mrcbT16-i |
0.06688 |
| mrcbT16-j |
1.071 |
| mrcbT16-k |
38186 |
| mrcbT16-l |
829 |
| mrcbT16-s |
1.766 |
| mrcbT16-z |
ScienceCitationIndex |
| mrcbT16-4 |
Q1 |
| mrcbT16-B |
62.343 |
| mrcbT16-C |
76.870 |
| mrcbT16-D |
Q2 |
| mrcbT16-E |
Q2 |
| arlyear |
2013 |
| mrcbTft |
\nSoubory v repozitáři: smidl-0385368.pdf |
| mrcbU14 |
84871007052 SCOPUS |
| mrcbU34 |
000315173300044 WOS |
| mrcbU63 |
cav_un_epca*0256213 Atmospheric Environment 1352-2310 1873-2844 Roč. 67 č. 1 2013 425 436 Elsevier |
|