Towards forecasting volcanic eruptions using seismic noise

By F. Brenguier, N. M. Shapiro, Michel Campillo, V. Ferrazzini, Z. Duputel, O. Coutant, A. Nercessian. 2007

643 citations recorded by the source corpus.

Volcanic eruptions are preceded by increased magma pressures, leading to the inflation of volcanic edifices1. Ground deformation resulting from volcano inflation can be revealed by various techniques such as spaceborne radar interferometry2, or by strain- and tiltmeters3. Monitoring this process in real time can provide us with useful information to forecast volcanic eruptions. In some cases, however, volcano inflation can be localized at depth with no measurable effects at the surface, and despite considerable effort4, 5 monitoring changes in volcanic interiors has proven to be difficult. Here we use the properties of ambient seismic noise recorded over an 18-month interval to show that changes in the interior of the Piton de la Fournaise volcano can be monitored continuously by measuring very small relative seismic-velocity perturbations, of the order of 0.05%. Decreases in seismic velocity a few weeks before eruptions suggest pre-eruptive inflation of the volcanic edifice, probably due to increased magma pressure. The ability to record the inflation of volcanic edifices in this fashion should improve our ability to forecast eruptions and their intensity and potential environmental impact.

Subfields: Geophysics

View Paper: https://www.semanticscholar.org/paper/8f63d22ddaf8e8bfa73b2f8a233feafd6d83686a

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In Geophysics

Citations in the corpus

Origin of deep ocean microseisms by using teleseismic body waves (2010, background): “Application of this principle to large amount of continuous digital seismic records provided by modern networks provides us with new approaches for seismic tomography [e.g., Shapiro and Campillo, 2004; Shapiro et al., 2005; Sabra et al., 2005; Yang et al., 2007; Stehly et al., 2009] and monitoring [”
Tutorial on seismic interferometry: Part 2 — Underlying theory and new advances (2010, methodology): “Interferometry by multidimensional deconvolution also compensates for the effects of one-sided and/or irregular illumination.”
Reconstructing Green's function by correlation of the coda of the correlation (C3) of ambient seismic noise (2008, methodology): “monitor velocity changes [Brenguier et al., 2008; Wegler and Sens-Schönfelder, 2007; Sens-Schönfelder and Wegler, 2006], it has become clear that Green’s function reconstruction is not perfect even when correlating several years of”