Detecting and locating volcanic tremors on the Klyuchevskoy group of volcanoes (Kamchatka) based on correlations of continuous seismic records

International audience We analyse daily cross-correlation computed from continuous records by permanent stations operating in vicinity of the Klyuchevskoy group of volcanoes (Kamchatka). Seismic waves generated by volcanic tremors are clearly seen on the cross-correlations between some pairs of stat...

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Bibliographic Details
Published in:Geophysical Journal International
Main Authors: Droznin, D. V., Shapiro, N. M., Droznina, S. Ya., Senyukov, S. L., Chebrov, V. N., Gordeev, E. I.
Other Authors: Institut de Physique du Globe de Paris (IPGP), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2015
Subjects:
Time-series analysis
Volcano seismology
Volcano monitoring
[SDU]Sciences of the Universe [physics]
Tolbachik
Kamchatka
Online Access:https://hal-insu.archives-ouvertes.fr/insu-03579368
https://hal-insu.archives-ouvertes.fr/insu-03579368/document
https://hal-insu.archives-ouvertes.fr/insu-03579368/file/ggv342.pdf
https://doi.org/10.1093/gji/ggv342
Description
Summary:International audience We analyse daily cross-correlation computed from continuous records by permanent stations operating in vicinity of the Klyuchevskoy group of volcanoes (Kamchatka). Seismic waves generated by volcanic tremors are clearly seen on the cross-correlations between some pairs of stations as strong signals at frequencies between 0.2 and 2 Hz and with traveltimes typically shorter than those corresponding to interstation propagation. First, we develop a 2-D source-scanning algorithm based on summation of the envelops of cross-correlations to detect seismic tremors and to determine locations from which the strong seismic energy is continuously emitted. In an alternative approach, we explore the distinctive character of the cross-correlation waveforms corresponding to tremors emitted by different volcanoes and develop a phase-matching method for detecting volcanic tremors. Application of these methods allows us to detect and to distinguish tremors generated by the Klyuchevskoy and the Tolbachik, volcanoes and to monitor evolution of their intensity in time.

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