Bibliografie
Journal Article
LS-APC v1.0: a tuning-free method for the linear inverse problem and its application to source-term determination
, , ,
: Geoscientific Model Development vol.9, 11 (2016), p. 4297-4311
: 7F14287, GA MŠk
: Linear inverse problem, Bayesian regularization, Source-term determination, Variational Bayes method
: http://library.utia.cas.cz/separaty/2016/AS/tichy-0466029.pdf
(eng): 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.
: BB