Robust Bayesian Joint Inversion of Gravimetric and Muographic Data for the Density Imaging of the Puy de Dôme Volcano (France)

Robust Bayesian Joint Inversion of Gravimetric and Muographic Data for the Density Imaging of the Puy de Dôme Volcano (France)

Imaging the internal structure of volcanoes helps highlighting magma pathways and monitoring potential structural weaknesses. We jointly invert gravimetric and muographic data to determine the most precise image of the 3D density structure of the Puy de Dôme volcano (Chaîne des Puys, France) ever ob...

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Bibliographic Details
Main Authors: Anne Barnoud, Valérie Cayol, Peter G. Lelièvre, Angélie Portal, Philippe Labazuy, Pierre Boivin, Lydie Gailler
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Earth Science
Subjects:
joint inversion method
Bayesian inversion
gravimetry
muography
volcanology
lava dome
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2020.575842/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2020.575842/full

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