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RT‐EQcorrscan: Near‐Real‐Time Matched‐Filtering for Rapid Development of Dense Earthquake Catalogs
Seismological Research Letters ( IF 3.3 ) Pub Date : 2020-11-01 , DOI: 10.1785/0220200171
Calum John Chamberlain 1 , John Townend 1 , Matthew C. Gerstenberger 2
Affiliation  

Matched‐filtering (template‐matching) is an effective method for detecting clustered seismicity such as aftershocks, low‐frequency earthquakes, repeating earthquakes, and tectonic and volcanic swarms. Several groups have developed efficient codes implementing matched‐filter methods and demonstrated that earthquake catalogs can be substantially expanded using these methods. Here, we present a near‐real‐time implementation of the matched‐filter method, designed to be used in response to ongoing seismicity. Its near‐real‐time capabilities enable dense catalogs of seismicity to be constructed rapidly, providing input into real‐time seismic hazard and forecasting and thus informing the earthquake response and scientific understanding. Such rapid development of detailed earthquake catalogs has similar application in volcano monitoring, monitoring of induced seismicity, and for online construction of slow‐earthquake catalogs. Our software package, RT‐EQcorrscan, is an open‐source extension of the EQcorrscan Python package. The package can either be deployed to apply near‐real‐time matched‐filters to a specific geographic region or sequence on a continuous basis, or configured to respond to large earthquakes or high‐rate sequences by automatically starting a matched‐filter run in response to these events. The system relies on, and maintains, a constantly updated template database of waveforms and event metadata, which is then queried for the specific target region. This template database can be updated while the matched‐filter is running to enable the set of templates to expand in response to previous results. Multiple region‐specific matched‐filters can be run in parallel, allowing the system to respond to distinct trigger events.

中文翻译:

RT-EQcorrscan:近实时匹配滤波,可快速开发密集的地震目录

匹配滤波(模板匹配)是一种检测聚类地震活动的有效方法,例如余震,低频地震,重复地震以及构造和火山群。几个小组已经制定了实施匹配过滤方法的有效代码,并证明使用这些方法可以大大扩展地震目录。在这里,我们提出了一种匹配滤波器方法的近实时实施方案,旨在用于应对持续的地震活动。它的近实时功能可以快速构建密集的地震活动目录,为实时地震灾害和预报提供输入,从而为地震反应和科学理解提供依据。这样详尽的地震目录的快速发展在火山监测中也有类似的应用,监测诱发地震活动,以及在线构建慢震目录。我们的软件包RT‐EQcorrscan是EQcorrscan Python软件包的开源扩展。该软件包既可以部署为连续应用近实时匹配过滤器到特定地理区域或序列,也可以配置为通过响应时自动启动匹配过滤器来响应大地震或高速率序列这些事件。该系统依靠并维护一个不断更新的波形和事件元数据模板数据库,然后针对特定目标区域进行查询。可以在匹配过滤器运行时更​​新此模板数据库,以使模板集能够根据先前的结果进行扩展。多个区域特定的匹配过滤器可以并行运行,
更新日期:2020-11-04
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