Fully Autonomous Multiplet Event Detection: Application to Local-Distance Monitoring of Blood Falls Seismicity

doi:10.2172/1186035

GSTDTAP > 地球科学

DOI	10.2172/1186035
报告编号	LA-UR--15-24599
来源ID	OSTI ID: 1186035
	Fully Autonomous Multiplet Event Detection: Application to Local-Distance Monitoring of Blood Falls Seismicity
	Carmichael, Joshua Daniel; Carr, Christina; Pettit, Erin C.
	2015-06-18
出版年	2015
页数	19
语种	英语
国家	美国
领域	地球科学
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.
英文关键词	Icequakes, correlation detectors, statistics, glaciology, probability, signal detection, autonomous signal detection, brine, subglacial
URL	查看原文
来源平台	US Department of Energy (DOE)
引用统计
文献类型	科技报告
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/6920
专题	地球科学
推荐引用方式 GB/T 7714	Carmichael, Joshua Daniel,Carr, Christina,Pettit, Erin C.. Fully Autonomous Multiplet Event Detection: Application to Local-Distance Monitoring of Blood Falls Seismicity,2015.