Numerically Calculated 3-D Space-Weighting Functions to Image Crustal Volcanic Structures Using Diffuse Coda Waves

Edoardo Del Pezzo, Angel De La Torre, Francesca Bianco, Jesus Ibanez, Simona Gabrielli, Luca De Siena

Research output: Contribution to journalArticle

3 Citations (Scopus)
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Abstract

Seismic coda measurements retrieve parameters linked to the physical characteristics of the rock volumes illuminated by high-frequency scattered waves. Space Weighting Functions (SWF) and kernels are different tools, which model the spatial sensitivity of coda envelopes to scattering and absorption anomalies in these rock matrices, allowing coda-wave attenuation (Qcoda 4 ) imaging. This note clarifies the difference between SWF and sensitivity kernels developed for coda wave imaging. It extends to the third dimension the SWF previously developed in 2D using radiative transfer and diffusion equation, based on the assumption of Qcoda variations dependent 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, as at Mount St. Helens volcano. In this setting, scattering attenuation and absorption suffer trade-off 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 common coda kernels used in literature, can still be used in a space-weighted back-projection approach. While Qcoda is not a physical parameter of the propagation medium, its spatially-dependent modelling 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, once applied to deep volcanism.
Original languageEnglish
Article number175
Pages (from-to)1-13
Number of pages13
JournalGeosciences
Volume8
Issue number5
Early online date11 May 2018
DOIs
Publication statusPublished - May 2018

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coda
scattering
wave attenuation
tectonic feature
geological feature
seismogram
rock
trade-off
radiative transfer
volcanism
volcano
extinction
magma
anomaly
earthquake
matrix
fluid
modeling
energy

Keywords

  • Seismic Attenuation
  • Seismic Coda
  • Seismic Scattering
  • Diffusion
  • Coda Imaging

Cite this

Del Pezzo, E., De La Torre, A., Bianco, F., Ibanez, J., Gabrielli, S., & De Siena, L. (2018). Numerically Calculated 3-D Space-Weighting Functions to Image Crustal Volcanic Structures Using Diffuse Coda Waves. Geosciences, 8(5), 1-13. [175]. https://doi.org/10.3390/geosciences8050175

Numerically Calculated 3-D Space-Weighting Functions to Image Crustal Volcanic Structures Using Diffuse Coda Waves. / Del Pezzo, Edoardo; De La Torre, Angel; Bianco, Francesca; Ibanez, Jesus; Gabrielli, Simona; De Siena, Luca.

In: Geosciences, Vol. 8, No. 5, 175, 05.2018, p. 1-13.

Research output: Contribution to journalArticle

Del Pezzo, E, De La Torre, A, Bianco, F, Ibanez, J, Gabrielli, S & De Siena, L 2018, 'Numerically Calculated 3-D Space-Weighting Functions to Image Crustal Volcanic Structures Using Diffuse Coda Waves', Geosciences, vol. 8, no. 5, 175, pp. 1-13. https://doi.org/10.3390/geosciences8050175
Del Pezzo, Edoardo ; De La Torre, Angel ; Bianco, Francesca ; Ibanez, Jesus ; Gabrielli, Simona ; De Siena, Luca. / Numerically Calculated 3-D Space-Weighting Functions to Image Crustal Volcanic Structures Using Diffuse Coda Waves. In: Geosciences. 2018 ; Vol. 8, No. 5. pp. 1-13.
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abstract = "Seismic coda measurements retrieve parameters linked to the physical characteristics of the rock volumes illuminated by high-frequency scattered waves. Space Weighting Functions (SWF) and kernels are different tools, which model the spatial sensitivity of coda envelopes to scattering and absorption anomalies in these rock matrices, allowing coda-wave attenuation (Qcoda 4 ) imaging. This note clarifies the difference between SWF and sensitivity kernels developed for coda wave imaging. It extends to the third dimension the SWF previously developed in 2D using radiative transfer and diffusion equation, based on the assumption of Qcoda variations dependent 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, as at Mount St. Helens volcano. In this setting, scattering attenuation and absorption suffer trade-off 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 common coda kernels used in literature, can still be used in a space-weighted back-projection approach. While Qcoda is not a physical parameter of the propagation medium, its spatially-dependent modelling 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, once applied to deep volcanism.",
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AU - De La Torre, Angel

AU - Bianco, Francesca

AU - Ibanez, Jesus

AU - Gabrielli, Simona

AU - De Siena, Luca

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N2 - Seismic coda measurements retrieve parameters linked to the physical characteristics of the rock volumes illuminated by high-frequency scattered waves. Space Weighting Functions (SWF) and kernels are different tools, which model the spatial sensitivity of coda envelopes to scattering and absorption anomalies in these rock matrices, allowing coda-wave attenuation (Qcoda 4 ) imaging. This note clarifies the difference between SWF and sensitivity kernels developed for coda wave imaging. It extends to the third dimension the SWF previously developed in 2D using radiative transfer and diffusion equation, based on the assumption of Qcoda variations dependent 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, as at Mount St. Helens volcano. In this setting, scattering attenuation and absorption suffer trade-off 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 common coda kernels used in literature, can still be used in a space-weighted back-projection approach. While Qcoda is not a physical parameter of the propagation medium, its spatially-dependent modelling 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, once applied to deep volcanism.

AB - Seismic coda measurements retrieve parameters linked to the physical characteristics of the rock volumes illuminated by high-frequency scattered waves. Space Weighting Functions (SWF) and kernels are different tools, which model the spatial sensitivity of coda envelopes to scattering and absorption anomalies in these rock matrices, allowing coda-wave attenuation (Qcoda 4 ) imaging. This note clarifies the difference between SWF and sensitivity kernels developed for coda wave imaging. It extends to the third dimension the SWF previously developed in 2D using radiative transfer and diffusion equation, based on the assumption of Qcoda variations dependent 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, as at Mount St. Helens volcano. In this setting, scattering attenuation and absorption suffer trade-off 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 common coda kernels used in literature, can still be used in a space-weighted back-projection approach. While Qcoda is not a physical parameter of the propagation medium, its spatially-dependent modelling 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, once applied to deep volcanism.

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