Refined models of the conductivity distribution at the transition from the Bohemian Massif to the West Carpathians using stochastic MCMC thin sheet inversion of the geomagnetic induction data

0509002 - GFÚ 2020 RIV GB eng J - Článek v odborném periodiku
Červ, Václav - Menvielle, M. - Kováčiková, Světlana - Pek, Josef
Refined models of the conductivity distribution at the transition from the Bohemian Massif to the West Carpathians using stochastic MCMC thin sheet inversion of the geomagnetic induction data.
Geophysical Journal International. Roč. 218, č. 3 (2019), s. 1983-2000. ISSN 0956-540X. E-ISSN 1365-246X
Institucionální podpora: RVO:67985530
Klíčová slova: Europe * geomagnetic induction * magnetotellurics * inverse theory * numerical modelling
Obor OECD: Physical geography
Impakt faktor: 2.574, rok: 2019
Způsob publikování: Omezený přístup
https://academic.oup.com/gji/article-abstract/218/3/1983/5513449?redirectedFrom=fulltext

Although volume 3-D modelling solutions has become widespread in recent time, thin sheet approximation of Earth's conductivity distribution can still serve as a useful tool when quasi-3-D conductivity structures in the heterogeneous subsurface are investigated and the available database of observations is limited to long-period electromagnetic induction data from large-scale deep sounding arrays. We present results of stochastic Monte Carlo Markov Chains (MCMC) inversion of long-period induction arrows based on the Bayesian statistics strategy.
We concentrated on the different methodological aspects of MCMC for Gibbs sampling and for adaptive Metropolis algorithm together with convergence of these methods. The results are presented on a case study from the transition zone between the Bohemian Massif and the West Carpathians where a phantom effect caused by superposition of the prominent SW-NE trending Carpathian Conductivity Anomaly and NW-SE trending anomalous structure related to the fault system at the eastern boundary of the Bohemian Massif appears.
Trvalý link: http://hdl.handle.net/11104/0299821