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    Extraction and Analysis of Seismic Body Waves from Ambient Noise for Crustal Imaging on Montserrat, with Implications for Temporal Monitoring
    AGU Fall Meeting Abstracts (2009)
    L. D. BrownKensuke IrieB. Voight
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    Keywords:
    Ambient noise level
    Seismic Noise
    Topics:
    Seismic Waves and Analysis
    Seismic Imaging and Inversion Techniques
    Seismology and Earthquake Studies
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    AGU Fall Meeting Abstracts (2012)
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    Clare Donaldson
    Seismic velocity
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    Monitoring temporal changes in seismic velocity around Shinmoe-dake with seismic interferometry
    Japan Geoscience Union (2018)
    Yuta MizutaniKiwamu Nishida
    Seismic velocity
    Seismic interferometry
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    The Influence of Near Surface Velocity Structures on Long-Period (LP) Volcano-Seismic Signals: Examples Using Simulations from Mt Etna.
    AGU Fall Meeting Abstracts (2007)
    Ivan LokmerChristopher J. BeanG. S. O’Brien
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    Reflection Imaging of Deep Structure beneath Montserrat using Microearthquake Sources
    AGUFM (2009)
    K. ByerlyL. D. BrownB. VoightV. MillerCharles J. Ammon
    Microearthquake
    Reflection
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    Temporal Changes of Seismic Velocity of Shallow Structure Associated With the 2000 Miyakejima Volcano Activity as Inferred From Ambient Seismic Noise Correlation Analyses
    AGUFM (2008)
    Titi AnggonoTakashi NishimuraHaruo SatoHitoshi UedaMotoo Ukawa
    Seismic Noise
    Ambient noise level
    Seismic interferometry
    Seismic velocity
    Seismic Tomography
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    Time‐Lapse Monitoring of Seismic Velocity Associated With 2011 Shinmoe‐Dake Eruption Using Seismic Interferometry: An Extended Kalman Filter Approach
    Journal of Geophysical Research Solid Earth (2020)
    Kiwamu NishidaYuta MizutaniMie IchiharaYosuke Aoki
    Abstract Seismic interferometry is a powerful tool to monitor the seismic velocity change associated with volcanic eruptions. For the monitoring, changes in seismic velocity with environmental origins (such as precipitation) are problematic. In order to model the environmental effects, we propose a new technique based on a state‐space model. An extended Kalman filter estimates seismic velocity changes as state variables, with a first‐order approximation of the stretching method. We apply this technique to three‐component seismic records in order to detect the seismic velocity change associated with the Shinmoe‐dake eruptions in 2011 and 2018. First, ambient noise cross correlations were calculated from May 2010 to April 2018. We also modeled seismic velocity changes resulting from precipitation and the 2016 Kumamoto earthquake, with exponential type responses. Most of the results show no significant changes associated with the eruptions, although gradual inflation of the magma reservoir preceded the 2011 eruption by 1 year. The observed low sensitivity to static stress changes suggests that the fraction of geofluid and crack density at about 1‐km depth is small, and the crack shapes could be circular. Only one station pair west of the crater shows the significant drop associated with the eruption in 2011. The gradual drop of seismic velocity up to 0.05% preceded the eruption by 1 month. When the gradual drop began, volcanic tremors were activated at about 2‐km depth. These observations suggest that the drop could be caused by damage accumulation due to vertical magma migration beneath the summit.
    Seismic velocity
    Seismic interferometry
    Seismic Noise
    Ambient noise level
    Citations (13)
    Using auto-correlations from seismic ambient noise to monitor velocity changes at Villarrica Volcano, Chile
    AGUFM (2012)
    Kathleen McKeeG. P. WaiteJ. Richardson
    Ambient noise level
    Seismic Noise
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    Insights in to the onset of the 2018 Kilauea eruption from time-lapse measurements of seismic velocity with seismic noise interferometry
    AGU Fall Meeting Abstracts (2019)
    Florent BrenguierGerrit OlivierR. CareyP. OkuboClare Donaldson
    Seismic interferometry
    Seismic Noise
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    Monitoring crustal temporal variations from ambient seismic noise correlations: resolution and accuracy assessments
    AGU Fall Meeting Abstracts (2009)
    Lucia ZaccarelliDaniel ClarkeН. М. ШапироFlorent Brenguier
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    Seismic Noise
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