A recursive matched-filter to systematically explore volcanic long-period earthquake swarms
A recursive matched-filter to systematically explore volcanic long-period earthquake swarms
复制标题
系统探索火山长周期地震群的递归匹配滤波器
DOI：
10.1093/gji/ggac221
复制
发表时间：
2022
影响因子：
2.8
通讯作者：
Frank, W. B.
中科院分区：
文献类型：
--
作者：
Wimez, M.;Frank, W. B.
匹配滤波技术是检测地震源的重复或接近重复的有效方法，但需要事先识别来自该震源的事件以用作模板。我们提出了一种递归匹配滤波方法来系统地研究震群，这里应用于南极悉德利山下的火山群的长周期地震活动。我们从单个视觉上选择的具有高信噪比的模板事件开始。然后，我们通过从新检测到的一组事件中选择要在后续匹配过滤器搜索中使用的新模板来扩展模板数据库，从而允许我们递归地扩展模板数量。我们演示了匹配过滤器搜索的每一次迭代都逐渐将我们的模板集的空间覆盖范围从原始模板事件扩展出来。通过这种方式，我们提出的方法克服了匹配过滤器搜索的最严格的限制：必须已经识别一个事件才能检测其他类似的事件。我们的递归匹配过滤方法非常适合于在火山和构造背景下对震群进行系统的勘探。
The matched-filter technique is an effective way to detect repeats, or near-repeats, of a seismic source, but prior identification of an event from that source to use as a template is required. We propose a recursive matched-filter approach to systematically explore earthquake swarms, here applied to a swarm of volcanic long-period seismicity beneath Mount Sidley in Antarctica. We start with a single visually chosen template event with a high signal-to-noise ratio. We then extend our template database by selecting new templates to use in a subsequent matched-filter search from the newly detected set of events, allowing us to recursively expand the number of templates. We demonstrate that each iteration of the matched-filter search progressively extends the spatial coverage of our set of templates away from the original template event. In such a way, our proposed method overcomes the matched-filter search’s strictest constraint: that an event must already be identified to detect other similar events. Our recursive matched-filtering approach is well suited for the systematic exploration of earthquake swarms in both volcanic and tectonic contexts.