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首页> 外文期刊>Journal of Volcanology and Geothermal Research2012V243-244NOCT,15 >Characterization of seismic events during the 2009 eruption of Redoubt Volcano, Alaska
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Characterization of seismic events during the 2009 eruption of Redoubt Volcano, Alaska

机译：2009年阿拉斯加里德堡火山爆发期间地震事件的特征

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摘要

Seismic events were automatically detected and characterized throughout the 2009 eruption of Redoubt Volcano, Alaska on a single short period station located 3 km from the volcanic crater. A total of 126,789 individual events were identified from continuous recording of seismic data from January 1 to June 30 (average 29 events per hour) using a short-term average/long-term average detection algorithm. Nine metrics were computed for this suite of events including event duration, inter-event time, event rate, peak amplitude, peak-to-peak amplitude, root-mean-square (RMS) amplitude, peak frequency, center frequency, and frequency index. Eight swarms were identified with event rates exceeding 100 events per hour. The first two occurred in late January and are attributed to high amplitude spasmodic tremor. Five additional swarms were manually repicked including swarms on February 26-27, March 20-23, March 27, March 29, and April 2-4. Three of these swarms immediately preceded major explosions including March 20-23, March 27, and April 2-4. A final swarm on May 2-9 was re-picked using a correlation detection scheme. We identified 146 event families that occurred within this suite of selected events using a cross correlation technique. Seven explosions were each immediately preceded by one or more event families. Events from the dominant family during each of these periods was additionally re-picked using correlation detection. The procession of event metrics and occurrence of event families formed a complex distribution throughout the eruption. A single-station approach was used to gain a fine-scale view of variations in seismic behavior at Redoubt with a focus on potential indicators of impending explosions. These techniques may serve an important role in future real-time eruption monitoring efforts.
机译：在2009年阿拉斯加的Redoubt火山爆发期间，地震事件被自动检测到，并在距火山口3公里的单个短期站上进行了特征描述。使用短期平均值/长期平均值检测算法，从1月1日至6月30日的地震数据连续记录（每小时平均29个事件）中识别出总共126,789个独立事件。针对这组事件计算了九个指标，包括事件持续时间，事件间时间，事件发生率，峰值幅度，峰峰值幅度，均方根（RMS）幅度，峰值频率，中心频率和频率指数。确定了八群，其事件发生率超过每小时100个事件。前两次发生在一月下旬，归因于高幅度痉挛性震颤。手动挑选了另外五个群，其中包括2月26-27日，3月20-23日，3月27日，3月29日和4月2-4日的群。其中三支蜂群紧接重大爆炸发生，包括3月20-23日，3月27日和4月2-4日。使用相关检测方案重新选择了5月2日至9日的最后一批。我们使用互相关技术确定了这组选定事件中发生的146个事件家族。每次发生七起爆炸后，立即发生一个或多个事件家族。使用相关检测还可以重新选择每个时期的主要家庭事件。事件度量的处理和事件族的出现在整个喷发过程中形成了复杂的分布。使用单站方法来获得关于重生的地震行为变化的精细视图，重点是即将发生爆炸的潜在指标。这些技术可能在将来的实时喷发监测工作中发挥重要作用。

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