LS-APC v1.0: a tuning-free method for the linear inverse problem and its application to source-term determination

0466029 - ÚTIA 2017 RIV DE eng J - Journal Article
Tichý, Ondřej - Šmídl, Václav - Hofman, Radek - Stohl, A.
LS-APC v1.0: a tuning-free method for the linear inverse problem and its application to source-term determination.
Geoscientific Model Development. Roč. 9, č. 11 (2016), s. 4297-4311. ISSN 1991-959X. E-ISSN 1991-9603
R&D Projects: GA MŠMT(CZ) 7F14287
Institutional support: RVO:67985556
Keywords : Linear inverse problem * Bayesian regularization * Source-term determination * Variational Bayes method
Subject RIV: BB - Applied Statistics, Operational Research
Impact factor: 3.458, year: 2016
http://library.utia.cas.cz/separaty/2016/AS/tichy-0466029.pdf

Estimation of pollutant releases into the atmosphere is an important problem in the environmental sciences. It is typically formalized as an inverse problem using a linear model that can explain observable quantities (e.g., concentrations or deposition values) as a product of the source-receptor sensitivity (SRS) matrix obtained from an atmospheric transport model multiplied by the unknown source-term vector. Since this problem is typically ill-posed, current state-of-the-art methods are based on regularization of the problem and solution of a formulated optimization problem. This procedure depends on manual settings of uncertainties that are often very poorly quantified, effectively making them tuning parameters.
Permanent Link: http://hdl.handle.net/11104/0265404