Volcano Seismology

A special issue of Geosciences (ISSN 2076-3263). This special issue belongs to the section "Natural Hazards".

Deadline for manuscript submissions: closed (30 November 2018) | Viewed by 4476

Special Issue Editor


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Guest Editor
Earth and Planetary Science Department, University of California at Berkeley Berkeley, CA 94720, USA
Interests: volcano seismology; volcano imaging; seismic attenuation; seismic absorption; seismic scattering; seismic tomography

Special Issue Information

Dear Colleagues,

Recent advances in volcano seismology have allowed improving our knowledge of volcanic systems. Improvements in seismometers and seismic monitoring increased the capability to identify volcanic seismic events, relate them which its physical processes and, more importantly, to recognize those signals related to volcanic unrest. The increasing deployment of seismic stations in volcanoes and development of new approaches allowed a more precise tomographic image of volcanic inner structures. These studies, among many others, helped to better constrain the nature of volcanic unrest, volcano dynamics, magma storage and migration, forecast volcanic activity and mitigate volcanic hazards.

In this special volume we encourage you to submit all volcano-seismology related studies. We welcome studies related to advances in: seismic network and instrumentation, automatic seismic signal recognition and processing, seismic imaging through new physical models and approaches, new volcano seismic datasets and volcanic seismic source analysis. We are also interested in studies that combine seismology with other geophysical monitoring (such as infrasound, ground deformation, gravity and gas monitoring).

Dr. Janire Prudencio
Guest Editor

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Keywords

  • Volcano monitoring
  • Volcano dynamics
  • Volcano imaging
  • Volcanic signals

Published Papers (1 paper)

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Research

13 pages, 3986 KiB  
Article
Numerically Calculated 3D Space-Weighting Functions to Image Crustal Volcanic Structures Using Diffuse Coda Waves
by Edoardo Del Pezzo, Angel De La Torre, Francesca Bianco, Jesús Ibanez, Simona Gabrielli and Luca De Siena
Geosciences 2018, 8(5), 175; https://doi.org/10.3390/geosciences8050175 - 11 May 2018
Cited by 26 | Viewed by 4039
Abstract
Seismic coda measurements retrieve parameters linked to the physical characteristics of rock volumes illuminated by high frequency scattered waves. Space weighting functions (SWF) and kernels are different tools that model the spatial sensitivity of coda envelopes to scattering and absorption anomalies in these [...] Read more.
Seismic coda measurements retrieve parameters linked to the physical characteristics of rock volumes illuminated by high frequency scattered waves. Space weighting functions (SWF) and kernels are different tools that model the spatial sensitivity of coda envelopes to scattering and absorption anomalies in these rock matrices, allowing coda-wave attenuation ( Q c o d a ) imaging. This note clarifies the difference between SWF and sensitivity kernels developed for coda wave imaging. It extends the SWF previously developed in 2D to the third dimension by using radiative transfer and the diffusion equation, based on the assumption that variations of Q c o d a depend solely on variations of the extinction length. When applied to active data (Deception Island, Antarctica), 3D SWF images strongly resemble 2D images, making this 3D extension redundant. On the other hand, diffusion does not efficiently model coda waveforms when using earthquake datasets spanning depths between 0 and 20 km, such as at Mount St. Helens volcano. In this setting, scattering attenuation and absorption suffer tradeoffs and cannot be separated by fitting a single seismogram energy envelope for SWF imaging. We propose that an approximate analytical 3D SWF, similar in shape to the common coda kernels used in literature, can still be used in a space weighted back-projection approach. While Q c o d a is not a physical parameter of the propagation medium, its spatially-dependent modeling allows improved reconstruction of crustal-scale tectonic and geological features. It is even more efficient as a velocity independent imaging tool for magma and fluid storage when applied to deep volcanism. Full article
(This article belongs to the Special Issue Volcano Seismology)
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