bibtype A - Abstract
ARLID 0448985
utime 20240103210932.0
mtime 20151022235959.9
title (primary) (eng) A Comparison of Traditional and New Inverse Modelling Techniques for Source Term Identification in the Atmosphere
specification
page_count 1 s.
media_type P
serial
ARLID cav_un_epca*0448580
title CTBT: Science and Technology 2015
publisher
place Vienna
name CTBTO
year 2015
keyword Sparse Optimization
keyword Inverse Modelling
keyword Atmospheric Modelling
author (primary)
ARLID cav_un_auth*0280972
name1 Branda
name2 Martin
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
institution UTIA-B
full_dept Department of Decision Making Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0309054
name1 Adam
name2 Lukáš
full_dept (cz) Matematická teorie rozhodování
full_dept Department of Decision Making Theory
department (cz) MTR
department MTR
institution UTIA-B
full_dept Department of Decision Making Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2015/E/branda-0448985.pdf
cas_special
project
project_id 7F14287
agency GA MŠk
country CZ
ARLID cav_un_auth*0318110
abstract (eng) Inverse modelling plays an important role in identifying the amount of substances released into atmosphere during power plant accidents, volcano eruptions or CO2 emissions. The problem leads to minimization of the discrepancy between the measurements in atmosphere during a particular time period and the model predictions. First, we review the standard methods based on Tikhonov regularization and Bayesian modelling. Then, we propose several optimization techniques which can be used to find sparse solutions and discuss their modifications to handle selected constraints such as nonnegativity and simple linear constraints, for example the minimal or maximal amount of total release. These techniques range from successive convex approximations to solution of mixed-integer programming problems. Finally, the new methods are applied on the European Tracer Experiment (ETEX).
action
ARLID cav_un_auth*0320636
name CTBT: Science and Technology 2015
place Vienna
dates 22.06.2015-26.06.2015
country AT
reportyear 2016
mrcbC52 4 O 4o 20231122141228.2
presentation_type PO
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0250582
mrcbC61 1
confidential S
arlyear 2015
mrcbTft \nSoubory v repozitáři: 0448985.pdf
mrcbU63 cav_un_epca*0448580 CTBT: Science and Technology 2015 Vienna CTBTO 2015