Depth Migration of Seismovolcanic Tremor Sources Below the Klyuchevskoy Volcanic Group (Kamchatka) Determined From a Network‐Based Analysis
Depth Migration of Seismovolcanic Tremor Sources Below the Klyuchevskoy Volcanic Group (Kamchatka) Determined From a Network‐Based Analysis
复制标题
通过基于网络的分析确定克柳切夫火山群（堪察加半岛）下方地震火山震源的深度迁移
DOI：
10.1029/2019gl083465
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发表时间：
2019
影响因子：
5.2
通讯作者：
E. Gordeev
中科院分区：
文献类型：
--
作者：
J. Soubestre;L. Seydoux;N. Shapiro;J. Rosny;D. Droznin;S. Droznina;S. Senyukov;E. Gordeev
我们提出了一种基于地震台网连续记录波场的空间相干性，在3-D中自动定位地震火山震颤主要来源的方法。我们分析了4.5年的记录，从地震网络在俄罗斯堪察加半岛的Klyuchevskoy火山群，当四个火山经历了震颤发作。在使用谱白化增强震颤信号之后，我们从谱协方差矩阵的第一特征向量计算与主要震颤源相关的每日互相关函数，并推断它们在3D中的每日位置。我们将我们的技术应用于Shiveluch，Klyuchevskoy，Tolbachik和Kizimen火山下的震动，并观察Klyuchevskoy下从管道系统的深到浅的部分长达一年的喷发前火山震动。对深火山震颤源的观察表明，基于互相关的方法是火山监测的一个非常强大的工具。
We present a method for automatic location of dominant sources of seismovolcanic tremor in 3‐D, based on the spatial coherence of the continuously recorded wavefield at a seismic network. We analyze 4.5 years of records from the seismic network at the Klyuchevskoy volcanic group in Kamchatka, Russia, when four volcanoes experienced tremor episodes. After enhancing the tremor signal with spectral whitening, we compute the daily cross‐correlation functions related to the dominant tremor sources from the first eigenvector of the spectral covariance matrix and infer their daily positions in 3‐D. We apply our technique to the tremors beneath Shiveluch, Klyuchevskoy, Tolbachik, and Kizimen volcanoes and observe the yearlong preeruptive volcanic tremor beneath Klyuchevskoy from deep to shallow parts of the plumbing system. This observation of deep volcanic tremor sources demonstrates that the cross‐correlation‐based method is a very powerful tool for volcano monitoring.