bibtype |
J -
Journal Article
|
ARLID |
0480506 |
utime |
20240103214827.0 |
mtime |
20171027235959.9 |
SCOPUS |
85032448070 |
WOS |
000413669000003 |
DOI |
10.5194/acp-17-12677-2017 |
title
(primary) (eng) |
Bayesian inverse modeling and source location of an unintended 131I release in Europe in the fall of 2011 |
specification |
page_count |
20 s. |
media_type |
E |
|
serial |
ARLID |
cav_un_epca*0257783 |
ISSN |
1680-7316 |
title
|
Atmospheric Chemistry and Physics |
volume_id |
17 |
volume |
20 (2017) |
page_num |
12677-12696 |
publisher |
|
|
keyword |
Bayesian inverse modeling |
keyword |
iodine-131 |
keyword |
consequences of the iodine release |
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*0330122 |
name1 |
Šindelářová |
name2 |
Kateřina |
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*0352443 |
name1 |
Hýža |
name2 |
M. |
country |
CZ |
|
author
|
ARLID |
cav_un_auth*0279644 |
name1 |
Stohl |
name2 |
A. |
country |
NO |
|
source |
|
cas_special |
project |
ARLID |
cav_un_auth*0318110 |
project_id |
7F14287 |
agency |
GA MŠk |
country |
CZ |
|
abstract
(eng) |
In this study, we use the ambient concentration measurements of I-131 to determine the location of the release as well as its magnitude and temporal variation. As the location of the release and an estimate of the source strength became eventually known, this accident represents a realistic test case for inversion models. For our source reconstruction, we use no prior knowledge. Instead, we estimate the source location and emission variation using only the available I-131 measurements. Subsequently, we use the partial information about the source term available from the Hungarian authorities for validation of our results. For the source determination, we first perform backward runs of atmospheric transport models and obtain source-receptor sensitivity (SRS) matrices for each grid cell of our study domain. We use two dispersion models, FLEXPART and Hysplit, driven with meteorological analysis data from the global forecast system (GFS) and from European Centre for Medium-range Weather Forecasts (ECMWF) weather forecast models. Second, we use a recently developed inverse method, least-squares with adaptive prior covariance (LS-APC), to determine the I-131 emissions and their temporal variation from the measurements and computed SRS matrices. For each grid cell of our simulation domain, we evaluate the probability that the release was generated in that cell using Bayesian model selection. The model selection procedure also provides information about the most suitable dispersion model for the source term reconstruction. Third, we select the most probable location of the release with its associated source term and perform a forward model simulation to study the consequences of the iodine release. |
RIV |
BB |
FORD0 |
10000 |
FORD1 |
10100 |
FORD2 |
10103 |
reportyear |
2018 |
num_of_auth |
6 |
mrcbC52 |
4 A hod 4ah 20231122142749.1 |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0276747 |
cooperation |
ARLID |
cav_un_auth*0352445 |
name |
National Radiation Protection Institute |
institution |
SÚRO |
country |
CZ |
|
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 Environmental Sciences|Meteorology Atmospheric Sciences |
mrcbC86 |
2 Article Environmental Sciences|Meteorology Atmospheric Sciences |
mrcbC86 |
2 Article Environmental Sciences|Meteorology Atmospheric Sciences |
mrcbT16-e |
METEOROLOGYATMOSPHERICSCIENCES |
mrcbT16-j |
1.694 |
mrcbT16-s |
3.032 |
mrcbT16-B |
80.966 |
mrcbT16-D |
Q1 |
mrcbT16-E |
Q1* |
arlyear |
2017 |
mrcbTft |
\nSoubory v repozitáři: tichy-0480506.pdf |
mrcbU14 |
85032448070 SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
000413669000003 WOS |
mrcbU63 |
cav_un_epca*0257783 Atmospheric Chemistry and Physics 1680-7316 1680-7324 Roč. 17 č. 20 2017 12677 12696 Copernicus |
|