bibtype J - Journal Article
ARLID 0550737
utime 20220602104128.6
mtime 20220103235959.9
SCOPUS 85119500299
WOS 000752464100006
DOI 10.1016/j.jhazmat.2021.127776
title (primary) (eng) Source term determination with elastic plume bias correction
specification
page_count 14 s.
media_type P
serial
ARLID cav_un_epca*0257168
ISSN 0304-3894
title Journal of Hazardous Materials
volume_id 425
publisher
name Elsevier
keyword Source inversion
keyword Atmospheric pollution
keyword Bias correction method
keyword Radionuclide emission
keyword Nuclear accident
author (primary)
ARLID cav_un_auth*0267768
name1 Tichý
name2 Ondřej
institution UTIA-B
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
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
institution UTIA-B
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0363740
name1 Evangeliou
name2 N.
country NO
source
url https://www.sciencedirect.com/science/article/pii/S030438942102745X?via%3Dihub
source
url http://library.utia.cas.cz/separaty/2022/AS/tichy-0550737.pdf
cas_special
project
project_id GA20-27939S
agency GA ČR
ARLID cav_un_auth*0391986
abstract (eng) Estimation of a source term, i.e. release rate, of atmospheric radionuclide emissions is of key interest for nuclear emergency response and further accident analysis. The source term estimate is, however, often very inaccurate due to biases in atmospheric transport and used meteorological analysis. We propose a method for atmospheric plume bias correction which uses not only concentrations modeled at a measuring site but also the information on concentration gradient from the neighborhood of each measuring site, i.e. information already available from the atmospheric transport model. To properly regularize the model, we propose an elastic model of the plume bias correction based on regularization with the use of known topology of the measurement network. The proposed plume bias correction method can be coupled with an arbitrary source term estimation algorithm and can be instantly applied to any other atmospheric release of hazardous material. We demonstrate the method in two real cases. First, we use data from the European Tracer Experiment to validate the methodology. Second, we use data from the 106Ru occurrence over Europe in 2017 to demonstrate the methodology in a more demanding case where agreement with state-of-the-art estimates is shown with much better reconstruction of measurements.
result_subspec WOS
RIV BB
FORD0 10000
FORD1 10100
FORD2 10102
reportyear 2022
num_of_auth 3
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0326171
mrcbC61 1
confidential S
article_num 127776
mrcbC91 C
mrcbT16-e ENGINEERINGENVIRONMENTAL|ENVIRONMENTALSCIENCES
mrcbT16-j 1.787
mrcbT16-s 2.57
mrcbT16-D Q1
mrcbT16-E Q1*
arlyear 2022
mrcbU14 85119500299 SCOPUS
mrcbU24 PUBMED
mrcbU34 000752464100006 WOS
mrcbU63 cav_un_epca*0257168 Journal of Hazardous Materials 0304-3894 1873-3336 Roč. 425 č. 1 2022 Elsevier