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Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt
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Observing Etna volcano dynamics through seismic and deformation patterns.

L Scarfì1, M Aloisi2, G Barberi2

  • 1Istituto Nazionale di Geofisica e Vulcanologia - Osservatorio Etneo, Catania, Italy. luciano.scarfi@ingv.it.

Scientific Reports
|August 10, 2023
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Summary
This summary is machine-generated.

Geophysical data reveal Etna volcano's internal processes. Seismic activity and ground deformation correlate with eruptions, indicating magma ascent influences earthquakes and volcanic plumbing.

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Area of Science:

  • Geophysics
  • Volcanology
  • Seismology

Background:

  • Geophysical data are crucial for understanding volcano dynamics, particularly stress/strain patterns and magma ascent effects on seismicity.
  • Etna volcano in southern Italy is an active volcanic system with complex internal processes.

Purpose of the Study:

  • To analyze seismicity and ground deformation over two decades at Etna volcano.
  • To investigate relationships between seismic events, ground deformation, and volcanic activity.
  • To understand the long-term internal dynamics of Etna volcano.

Main Methods:

  • Detailed analysis of seismicity, including earthquake distribution and focal mechanisms.
  • Examination of ground deformation patterns (inflation and deflation).
  • Comparison of seismic and deformation data with volcanic activity.

Main Results:

  • A direct relationship exists between shallow seismicity, ground deformation, and volcanic activity, often preceding major eruptions.
  • Analysis of P- and T-axes at depths of 5-20 km indicates a central pressure source.
  • The volcano's stress field interacts with and influences the regional stress field.

Conclusions:

  • Shallow seismic strain release and ground deformation are key indicators of impending eruptions at Etna.
  • A deep-seated pressure source influences the volcano's stress field.
  • The volcanic plumbing system significantly impacts regional stress patterns.