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Determining the focal mechanisms and depths of relatively small earthquakes using a few stations by full-waveform modelling

机译:通过全波形建模确定使用几个站的相对较小地震的震源机制和深度

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摘要

Determining the focal mechanism of earthquakes helps us to better define faults and understand the stress regime. This technique can be helpful in the oil and gas industry where it can be applied to microseismic events. The objective of this paper is to find double couple focal mechanisms, excluding scalar seismic moments, and the depths of small earthquakes using data from relatively few local stations. This objective is met by generating three-component synthetic seismograms to match the observed normalized velocity seismograms. We first calculate Green's functions given an initial estimate of the earthquake's hypocentre, the locations of the seismic recording stations and a ID velocity model of the region for a series of depths. Then, we calculate the moment tensor for different combinations of strikes, dips and rakes for each depth. These moment tensors are combined with the Green's functions and then convolved with a source time function to produce synthetic seismograms. We use a grid search to find the synthetic seismogram with the largest objective function that best fits all three components of the observed velocity seismogram. These parameters define the focal mechanism solution of an earthquake. We tested the method using three earthquakes in Southern California with moment magnitudes of 5.0, 5.1 and 4.4 using the frequency range 0.1-2.0 Hz. The source mechanisms of the events were determined independently using data from a multitude of stations. Our results obtained, from as few as three stations, generally match those obtained by the Southern California Earthquake Data Center. The main advantage of this method is that we use relatively high-frequency full-waveforms, including those from short-period instruments, which makes it possible to find the focal mechanism and depth of earthquakes using as few as three stations when the velocity structure is known.
机译:确定地震的震源机制有助于我们更好地定义断层并了解应力状态。此技术在石油和天然气工业中可以应用到微地震事件中,可能会有所帮助。本文的目的是使用相对较少的本地台站的数据来找到双偶震源机制,不包括标量地震矩和小地震的深度。通过生成三分量合成地震图以匹配观测到的标准化速度地震图,可以达到此目的。我们首先给定地震震中的初始估计值,地震记录台的位置以及一系列深度的区域ID速度模型,然后计算格林函数。然后,我们针对每个深度计算打击,下垂和前倾角的不同组合的力矩张量。这些矩张量与格林函数结合,然后与源时间函数卷积以生成合成地震图。我们使用网格搜索来找到具有最大目标函数的合成地震图,该目标函数最适合观测到的速度地震图的所有三个分量。这些参数定义了地震的震源机制解。我们使用频率范围为0.1-2.0 Hz的南加利福尼亚州的三个地震,分别以5.0、5.1和4.4的地震强度测试了该方法。事件的源机制是使用来自多个站点的数据独立确定的。我们从最少三个站获得的结果通常与南加州地震数据中心获得的结果相匹配。这种方法的主要优点是,我们使用了相对较高频率的全波形,包括来自短周期仪器的全波形,这使得在速度结构为零时,只需使用三个站就可以找到地震的震源机制和深度。众所周知。

著录项

  • 来源
    《Geophysical Prospecting 》 |2013年第4期| 712-724| 共13页
  • 作者

    Hussam Busfar; M. Nafi Toksoez;

  • 作者单位

    54-819, Dept. of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge,MA 02139-4307 USA;

    54-614, Dept. of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139-4307 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Focal mechanisms; Full-waveform modelling;

    机译:焦点机制;全波形建模;

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