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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985530%3A_____%2F19%3A00509002" target="_blank" >RIV/67985530:_____/19:00509002 - isvavai.cz</a>

Výsledek na webu

<a href="https://academic.oup.com/gji/article-abstract/218/3/1983/5513449?redirectedFrom=fulltext" target="_blank" >https://academic.oup.com/gji/article-abstract/218/3/1983/5513449?redirectedFrom=fulltext</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1093/gji/ggz265" target="_blank" >10.1093/gji/ggz265</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.nWe 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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.nWe 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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10508 - Physical geography

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Geophysical Journal International

ISSN

0956-540X

e-ISSN

—

Svazek periodika

218

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

18

Strana od-do

1983-2000

Kód UT WoS článku

000482302200031

EID výsledku v databázi Scopus

2-s2.0-85072279032