Combining Love and Rayleigh waves in detecting and locating seismic sources

Combining Love and Rayleigh waves in detecting and locating seismic sources
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结合洛夫波和瑞利波来检测和定位震源

DOI:
10.1093/gji/ggad250
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发表时间:
2023
影响因子:
2.8
通讯作者:
Fan, Wenyuan
Fan, Wenyuan
中科院分区:
地球科学2区
文献类型:
--
作者:
Fan, Wenyuan

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面波在探测和定位不产生太多高频辐射的震源方面至关重要。对于这样的震源,使用体波来检测和定位地震的典型方法不太有效。慢地震和外来震源往往具有这种地震辐射特征,对全球和区域地震台网记录的面波进行阵列分析,已证明对识别此类震源是有效的。大多数方法依赖于瑞利波,而洛夫波很少被使用。在这里,我们开发了一种新的方法,使用多尺度阵列来检测和定位与爱和瑞利面波震源。该方法首先形成三个台站子阵,然后利用台站的三分量记录独立地估计三组面波传播方向和质心到达时间。然后,子阵列估计被组合以定位地震源及其起源时间。我们发现,使用多个,断开的全球网络提高了定位精度,使用这两种类型的表面波可以提高检测灵敏度和鲁棒性。
Surface waves are critical in detecting and locating seismic sources that do not produce much high-frequency radiation. For such sources, typical approaches using body waves for detecting and locating earthquakes are less effective. Slow earthquakes and exotic seismic sources often have this seismic radiation characteristic, and array analyses of surface waves recorded on global and regional seismic networks have proven effective in recognizing such sources. Most approaches have relied on Rayleigh waves, whereas Love waves have rarely been used. Here we develop a new approach using multiscale arrays to detect and locate seismic sources with both Love and Rayleigh surface waves. The method first forms three-station subarrays and then uses three-component records of the stations to independently estimate three sets of surface wave propagation directions and centroid arrival times. The subarray estimates are then assembled to locate seismic sources and their origin times. We find that using multiple, disconnected global networks improves location accuracy and that using both types of surface waves can enhance detection sensitivity and robustness.
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