| bibtype |
J -
Journal Article
|
| ARLID |
0493137 |
| utime |
20240103220442.3 |
| mtime |
20180910235959.9 |
| SCOPUS |
85057047981 |
| WOS |
000455586500026 |
| DOI |
10.1002/qj.3403 |
| title
(primary) (eng) |
Source term estimation of multi-specie atmospheric release of radiation from gamma dose rates |
| specification |
| page_count |
20 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0257529 |
| ISSN |
0035-9009 |
| title
|
Quarterly Journal of the Royal Meteorological Society |
| volume_id |
144 |
| volume |
717 (2018) |
| page_num |
2781-2797 |
| publisher |
|
|
| keyword |
Multi-species source term estimation |
| keyword |
Inverse modeling |
| keyword |
Gamma dose rate |
| keyword |
Nuclear accident |
| keyword |
Nuclides ratios |
| keyword |
Covariance matrix |
| keyword |
Chernobyl accident |
| author
(primary) |
| ARLID |
cav_un_auth*0267768 |
| name1 |
Tichý |
| name2 |
Ondřej |
| 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*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 |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0363740 |
| name1 |
Evangeliou |
| name2 |
N. |
| country |
NO |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0318110 |
| project_id |
7F14287 |
| agency |
GA MŠk |
| country |
CZ |
|
| abstract
(eng) |
Determination of a source term of an accidental release of radioactive material into the atmosphere is very important for evaluating emergency situations and their consequences. However, knowledge of the source term and its composition is typically vague and uncertain. One possible way to obtain the source term is inverse modeling in which an atmospheric transport model is combined with field measurements. The most accessible measurements are those from gamma dose rate (GDR) detectors. However, GDR measurements represent a sum of contribution from all nuclides from both plume and deposition which makes the problem particularly difficult. The same difficulty arises when the measurements can not distinguish contribution from another species in the release, such as nuclides attached to different particle sizes. We propose a Bayesian method for recovery of the source term from GDR measurements where a priori knowledge on ratios of different species is given in the form of bounds. This knowledge is incorporated into the model of covariance matrix of the source term. The Bayesian methodology allows to handle uncertain knowledge on the nuclide ratios as well as unknown temporal correlations of the source term. We evaluate and compare the proposed method with other state-of-the-art methods on a twin experiment of a non-stationary release of 16 nuclides from the Czech nuclear power plant Temelin being registered by the Austrian GDR monitoring network. Real-world validation of the approach is performed on the latest measurements of concentration and deposition of caesium-137 from the Chernobyl accident, where we estimate composition of the source term from different particle sizes (species). The estimated source term is in very good agreement with previously reported results and the calculated species ratios are supported by the available observations. |
| result_subspec |
WOS |
| RIV |
BB |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10103 |
| reportyear |
2019 |
| num_of_auth |
4 |
| mrcbC52 |
4 A hod 4ah 20231122143400.6 |
| permalink |
http://hdl.handle.net/11104/0286998 |
| cooperation |
| ARLID |
cav_un_auth*0336787 |
| name |
Norwegian Institute for Air Research |
| institution |
NILU |
| country |
NO |
|
| mrcbC64 |
1 Department of Adaptive Systems UTIA-B 10509 METEOROLOGY & ATMOSPHERIC SCIENCES |
| confidential |
S |
| mrcbC86 |
2 Article Meteorology Atmospheric Sciences |
| mrcbT16-e |
METEOROLOGYATMOSPHERICSCIENCES |
| mrcbT16-j |
1.518 |
| mrcbT16-s |
2.607 |
| mrcbT16-B |
66.348 |
| mrcbT16-D |
Q2 |
| mrcbT16-E |
Q1 |
| arlyear |
2018 |
| mrcbTft |
\nSoubory v repozitáři: tichy-0493137.pdf |
| mrcbU14 |
85057047981 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000455586500026 WOS |
| mrcbU63 |
cav_un_epca*0257529 Quarterly Journal of the Royal Meteorological Society 0035-9009 1477-870X Roč. 144 č. 717 2018 2781 2797 Wiley |
|