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Journal Article

Deciphering the Whisper of Volcanoes: Monitoring Velocity Changes at Kamchatka’s Klyuchevskoy Group with Fluctuating Noise Fields

Authors
/persons/resource/makus

Makus,  Peter
2.4 Seismology, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
Publikationen aller GIPP-unterstützten Projekte, Deutsches GeoForschungsZentrum;

/persons/resource/chris

Sens-Schönfelder,  C.
2.4 Seismology, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
Publikationen aller GIPP-unterstützten Projekte, Deutsches GeoForschungsZentrum;

/persons/resource/lillien

Illien,  Luc
4.6 Geomorphology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
Publikationen aller GIPP-unterstützten Projekte, Deutsches GeoForschungsZentrum;

/persons/resource/twalter

Walter,  Thomas
2.1 Physics of Earthquakes and Volcanoes, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
Publikationen aller GIPP-unterstützten Projekte, Deutsches GeoForschungsZentrum;

Yates,  Alexander
External Organizations;
Publikationen aller GIPP-unterstützten Projekte, Deutsches GeoForschungsZentrum;

/persons/resource/tilmann

Tilmann,  Frederik
2.4 Seismology, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
Publikationen aller GIPP-unterstützten Projekte, Deutsches GeoForschungsZentrum;

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5015811.pdf
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Citation

Makus, P., Sens-Schönfelder, C., Illien, L., Walter, T., Yates, A., Tilmann, F. (2023): Deciphering the Whisper of Volcanoes: Monitoring Velocity Changes at Kamchatka’s Klyuchevskoy Group with Fluctuating Noise Fields. - Journal of Geophysical Research: Solid Earth, 128, 4, e2022JB025738.
https://doi.org/10.1029/2022JB025738


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015811
Abstract
Volcanic inflation and deflation often precede eruptions and can lead to seismic velocity changes (dv/v) in the subsurface. Recently, interferometry on the coda of ambient noise-cross-correlation functions yielded encouraging results in detecting these changes at active volcanoes. Here, we analyze seismic data recorded at the Klyuchevskoy Volcanic Group in Kamchatka, Russia, between summer 2015 and summer 2016 to study signals related to volcanic activity. However, ubiquitous volcanic tremors introduce distortions in the noise wavefield that cause artifacts in the dv/v estimates masking the impact of physical mechanisms. To avoid such instabilities, we propose a new technique called time-segmented passive image interferometry. In this technique, we employ a hierarchical clustering algorithm to find periods in which the wavefield can be considered stationary. For these periods, we perform separate noise interferometry studies. To further increase the temporal resolution of our results, we use an AI-driven approach to find stations with similar dv/v responses and apply a spatial stack. The impacts of snow load and precipitation dominate the resulting dv/v time series, as we demonstrate with the help of a simple model. In February 2016, we observe an abrupt velocity drop due to the M7.2 Zhupanov earthquake. Shortly after, we register a gradual velocity increase of about 0.3% at Bezymianny Volcano coinciding with surface deformation observed using remote sensing techniques. We suggest that the inflation of a shallow reservoir related to the beginning of Bezymianny’s 2016/2017 eruptive cycle could have caused this local velocity increase and a decorrelation of the correlation function coda.