| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0381832 |
| utime |
20240103201341.8 |
| mtime |
20121031235959.9 |
| title
(primary) (eng) |
Development of Real-Time Bayesian Data Assimilation System for Off-Site Consequence Assessment |
| specification |
| page_count |
1 s. |
| media_type |
pdf |
|
| serial |
| ARLID |
cav_un_epca*0381831 |
| title
|
12th International Conference on Radiation Shielding & Topical Meeting of the Radiation Protection and Shielding Division of the American Nuclear Society |
| page_num |
37-37 |
| publisher |
| place |
Nara |
| name |
Atomic Energy Society of Japan |
| year |
2012 |
|
|
| keyword |
data assimilation |
| keyword |
sequential Monte Carlo |
| keyword |
decision support system |
| author
(primary) |
| ARLID |
cav_un_auth*0228606 |
| name1 |
Hofman |
| name2 |
Radek |
| 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*0101207 |
| name1 |
Šmídl |
| name2 |
Václav |
| 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. |
|
| author
|
| ARLID |
cav_un_auth*0101176 |
| name1 |
Pecha |
| name2 |
Petr |
| 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 |
| country |
CZ |
| ARLID |
cav_un_auth*0265869 |
|
| abstract
(eng) |
The task of decision support in the case of a radiation accident is to provide up-to-date information on the radiation situation, prognosis of its future evolution and possible consequences. The reliability of predictions can be significantly improved using data assimilation, which refers to a group of mathematical methods for an efficient combination of observed data with a numerical model. This paper concerns application of advanced data assimilation methods in the off-site consequence assessment when radionuclides are released into the atmosphere. Our goal is to develop a decision support system with automated real-time assessment of radiation situation that does not underestimate its uncertainty. To achieve this goal we employ particle filtering − a Bayesian approach suitable for sequential processing of a stream of measurements incoming from a monitoring network. |
| action |
| ARLID |
cav_un_auth*0284445 |
| name |
12th International Conference on Radiation Shielding & 17th Topical Meeting of the Radiation Protection and Shielding Division of the American Nuclear Society |
| place |
Nara |
| dates |
2.-7. 9. 2012 |
| country |
JP |
|
| reportyear |
2013 |
| RIV |
DL |
| num_of_auth |
3 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0212211 |
| arlyear |
2012 |
| mrcbU63 |
cav_un_epca*0381831 12th International Conference on Radiation Shielding & Topical Meeting of the Radiation Protection and Shielding Division of the American Nuclear Society 37 37 Nara Atomic Energy Society of Japan 2012 |
|