Rapid Earthquake Association and Location
Rapid Earthquake Association and Location
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DOI：
10.1785/0220190052
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发表时间：
2019-11
影响因子：
3.3
通讯作者：
Miao Zhang;W. Ellsworth;G. Beroza
中科院分区：
文献类型：
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作者：
Miao Zhang;W. Ellsworth;G. Beroza
地震震相和事件位置的快速关联对于真实的实时地震监测至关重要。提出了一种快速地震关联定位方法（真实的），用于快速、同步、自动地关联震相和定位地震事件。真实的结合了基于拾取和基于波形的检测和定位方法的优点。它主要通过计算P和S拾取的数量，其次通过旅行时残差来关联不同地震相位的到达并定位地震事件。如果在理论走时窗口内有足够的拾取，则一组拾取与特定地震相关联。该位置被确定为在具有最多拾取的网格点处，并且如果多个位置具有相同的最大拾取数量，则其中具有最小走时残差的网格点。我们使用最小二乘定位方法（VELEST）和高精度相对定位方法（hypoDD）来细化地震定位。真实的由于其计算效率而可用于快速地震特征化。作为一个示例应用，我们将真实的应用于2016年亚平宁山脉中部的地震，意大利，地震序列发生在2016年10月的五天内，在两次最大地震之间的中间时间。我们关联和定位的事件（3341）是意大利国家地球物理和火山学研究所常规目录（862）的三倍多。这些重新定位的地震的空间分布显示出类似的，但更集中的模式相对于编目的事件。我们的研究表明，使用真实的和地震拾取自动、快速地表征地震活动性是可能的。
Rapid association of seismic phases and event location are crucial for real‐time seismic monitoring. We propose a new method, named rapid earthquake association and location (REAL), for associating seismic phases and locating seismic events rapidly, simultaneously, and automatically. REAL combines the advantages of both pick‐based and waveform‐based detection and location methods. It associates arrivals of different seismic phases and locates seismic events primarily through counting the number of P and S picks and secondarily from travel‐time residuals. A group of picks are associated with a particular earthquake if there are enough picks within the theoretical travel‐time windows. The location is determined to be at the grid point with the most picks, and if multiple locations have the same maximum number of picks, the grid point among them with smallest travel‐time residuals. We refine seismic locations using a least‐squares location method (VELEST) and a high‐precision relative location method (hypoDD). REAL can be used for rapid seismic characterization due to its computational efficiency. As an example application, we apply REAL to earthquakes in the 2016 central Apennines, Italy, earthquake sequence occurring during a five‐day period in October 2016, midway in time between the two largest earthquakes. We associate and locate more than three times as many events (3341) as are in Italy's National Institute of Geophysics and Volcanology routine catalog (862). The spatial distribution of these relocated earthquakes shows a similar but more concentrated pattern relative to the cataloged events. Our study demonstrates that it is possible to characterize seismicity automatically and quickly using REAL and seismic picks.