| DOI: | 10.2172/1186035
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| 报告号: | LA-UR--15-24599
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| 报告题名: | Fully Autonomous Multiplet Event Detection: Application to Local-Distance Monitoring of Blood Falls Seismicity |
| 作者: | Carmichael, Joshua Daniel; Carr, Christina; Pettit, Erin C.
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| 出版年: | 2015
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| 发表日期: | 2015-06-18
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| 总页数: | 19
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| 国家: | 美国
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| 语种: | 英语
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| 英文关键词: | Icequakes, correlation detectors, statistics, glaciology, probability, signal detection, autonomous signal detection, brine, subglacial
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| 中文主题词: | 人口
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| 主题词: | POPULATION
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| 英文摘要: | We apply a fully autonomous icequake detection methodology to a single day of high-sample rate (200 Hz) seismic network data recorded from the terminus of Taylor Glacier, ANT that temporally coincided with a brine release episode near Blood Falls (May 13, 2014). We demonstrate a statistically validated procedure to assemble waveforms triggered by icequakes into populations of clusters linked by intra-event waveform similarity. Our processing methodology implements a noise-adaptive power detector coupled with a complete-linkage clustering algorithm and noise-adaptive correlation detector. This detector-chain reveals a population of 20 multiplet sequences that includes ~150 icequakes and produces zero false alarms on the concurrent, diurnally variable noise. Our results are very promising for identifying changes in background seismicity associated with the presence or absence of brine release episodes. We thereby suggest that our methodology could be applied to longer time periods to establish a brine-release monitoring program for Blood Falls that is based on icequake detections. |
| URL: | http://www.osti.gov/scitech/servlets/purl/1186035
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| Citation statistics: |
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| 资源类型: | 研究报告
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/41839
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| Appears in Collections: | 过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响
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| 1186035.pdf（10908KB） | 研究报告 | -- | 开放获取 | | View
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| Recommended Citation: | |
Carmichael, Joshua Daniel,Carr, Christina,Pettit, Erin C.. Fully Autonomous Multiplet Event Detection: Application to Local-Distance Monitoring of Blood Falls Seismicity. 2015-01-01.
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