| bibtype |
J -
Journal Article
|
| ARLID |
0460631 |
| utime |
20240103212401.0 |
| mtime |
20160712235959.9 |
| SCOPUS |
84986328069 |
| WOS |
000390507800043 |
| DOI |
10.1016/j.jenvrad.2016.06.016 |
| title
(primary) (eng) |
Inverse modelling for real-time estimation of radiological consequences in the early stage of an accidental radioactivity release |
| specification |
| page_count |
28 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0253741 |
| ISSN |
0265-931X |
| title
|
Journal of Environmental Radioactivity |
| volume_id |
164 |
| volume |
1 (2016) |
| page_num |
377-394 |
| publisher |
|
|
| keyword |
Inverse modelling |
| keyword |
recursive radioactive plume tracking |
| keyword |
Improvement of population protection |
| keyword |
monitoring network capability |
| author
(primary) |
| ARLID |
cav_un_auth*0101176 |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| full_dept |
Department of Adaptive Systems |
| share |
70 |
| name1 |
Pecha |
| name2 |
Petr |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101207 |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| full_dept |
Department of Adaptive Systems |
| share |
30 |
| name1 |
Šmídl |
| name2 |
Václav |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0318110 |
| project_id |
7F14287 |
| agency |
GA MŠk |
| country |
CZ |
|
| project |
| ARLID |
cav_un_auth*0265869 |
| project_id |
VG20102013018 |
| agency |
GA MV |
|
| abstract
(eng) |
A stepwise sequential assimilation algorithm is proposed based on an optimisation approach for recursive parameter estimation and tracking of radioactive plume propagation in the early stage of a radiation accident. The proposed method is designated as a stepwise re-estimation of the source term release dynamics and an improvement of several input model parameters. It results in a more precise determination of the adversely affected areas in the terrain. Twin experiment generating noiseless simulated "artificial" observations is studied to verify the minimisation algorithm. The impact of the measurement noise on the re-estimated source release rate is examined. |
| RIV |
AQ |
| reportyear |
2017 |
| num_of_auth |
2 |
| mrcbC52 |
4 A hod 4ah 20231122141748.8 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0260695 |
| mrcbC64 |
1 Department of Adaptive Systems UTIA-B 10511 ENVIRONMENTAL SCIENCES |
| confidential |
S |
| mrcbC86 |
3+4 Article Environmental Sciences |
| mrcbT16-e |
ENVIRONMENTALSCIENCES |
| mrcbT16-j |
0.527 |
| mrcbT16-s |
0.956 |
| mrcbT16-4 |
Q1 |
| mrcbT16-B |
32.715 |
| mrcbT16-D |
Q3 |
| mrcbT16-E |
Q2 |
| arlyear |
2016 |
| mrcbTft |
\nSoubory v repozitáři: pecha-0460631.pdf |
| mrcbU14 |
84986328069 SCOPUS |
| mrcbU34 |
000390507800043 WOS |
| mrcbU63 |
cav_un_epca*0253741 Journal of Environmental Radioactivity 0265-931X 1879-1700 Roč. 164 č. 1 2016 377 394 Elsevier |
|