Year: 2018
Type: article
Abstract: Fumaroles are a common manifestation of volcanic activity that are associated with large emissions of gases into the atmosphere. These gases originate from the magma, and they can provide indirect and unique insights into magmatic processes. Therefore, they are extensively used to monitor and forecast eruptive activity. During their ascent, the magmatic gases interact with the rock and hydrothermal fluids, which modify their geochemical compositions. These interactions can complicate our understanding of the real volcanic dynamics and remain poorly considered. Here, we present the first complete imagery of a fumarolic plumbing system using three-dimensional electrical resistivity tomography and new acoustic noise localization. We delineate a gas reservoir that feeds the fumaroles through distinct channels. Based on this geometry, a thermodynamic model reveals that near-surface mixing between gas and condensed steam explains the distinct geochemical compositions of fumaroles that originate from the same source. Such modeling of fluid interactions will allow for the simulation of dynamic processes of magmatic degassing, which is crucial to the monitoring of volcanic unrest.
Source: Scientific Reports
Institutions: Centre National de la Recherche Scientifique, Institut des Sciences de la Terre, Institut de Recherche pour le Développement, Earthquake Research Institute, University of Tokyo, Université Savoie Mont Blanc, The University of Tokyo, Université Grenoble Alpes, Istituto Nazionale di Geofisica e Vulcanologia, INGV Sezione di Bologna, ETH Zurich, INGV Osservatorio Vesuviano, Roma Tre University
Language: English
Subfield: Geophysics
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,477
Awards: G3502641793, MEDiterranean SUpersite Volcanoes, G5043543010, G623270878, Equipement d'excellence de calcul intensif de Mesocentres coordonnés - Tremplin vers le calcul petaflopique et l'exascale, G676769616, G7240651115, Innovative strategies for observing and modelling natural systems, G8510727784
OpenAlex ID: W2803240542
