image: a) 3D view of the volcano obtained by confocal migration of the reflection matrix. The image obtained is blurred by distortions of seismic waves caused by the volcano’s heterogeneities. b) Matrix imaging of the volcano obtained via adaptive focusing laws compensating for its heterogeneities. The image reveals La Soufrière’s tortuous conduit to a depth of 5 km. Beyond that, a magma storage zone was identified with a complex array of horizontal magma lenses connected to one another.
Credit: © Elsa Giraudat
A team of researchers from the CNRS and the Paris Institute of Planetary Physics1 has developed an innovative imaging method that can probe the bowels of a volcano with unparalleled resolution and depth. This new method is based on the deployment of a network of geophones that capture not only the powerful shaking of earthquakes, but also the seismic noise caused by wind, the ocean, and human activity.
Their study was conducted on La Soufrière volcano in Guadeloupe, and provided a 3D view of its internal structure to a depth of 10 kilometres, with a precision on the order of 100 metres. It confirmed the existence, in the depths beneath La Soufrière, of a large magma storage zone structured by a network of interconnected magma pockets.This imaging tool can be applied to any geophone network and could record volcanic activity much more thoroughly, thereby providing greater anticipation of volcanic eruptions throughout the world.
The study recently appeared in the journal Communications, Earth & Environment.
- From the Langevin Institute (CNRS/ESPCI – PSL Université) and the Paris Institute of Planetary Physics (CNRS/Université Paris Cité).
Journal
Communications
Method of Research
Imaging analysis
Subject of Research
Not applicable
Article Title
Matrix imaging as a tool for high-resolution monitoring of deep volcanic plumbing systems with seismic noise.
Article Publication Date
16-Sep-2024