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DOI10.2172/1252605
报告编号LLNL-TR--665290
来源IDOSTI ID: 1252605
Detection of Local/Regional Events in Kuwait Using Next-Generation Detection Algorithms
Gok, M. Rengin; Al-Jerri, Farra; Dodge, Douglas
2014-12-10
出版年2014
页数10
语种英语
国家美国
领域地球科学
英文摘要Seismic networks around the world use conventional triggering algorithms to detect seismic signals in order to locate local/regional seismic events. Kuwait National Seismological Network (KNSN) of Kuwait Institute of Scientific Research (KISR) is operating seven broad-band and short-period three-component stations in Kuwait. The network is equipped with Nanometrics digitizers and uses Antelope and Guralp acquisition software for processing and archiving the data. In this study, we selected 10 days of archived hourly-segmented continuous data of five stations (Figure 1) and 250 days of continuous recording at MIB. For the temporary deployment our selection criteria was based on KNSN catalog intensity for the period of time we test the method. An autonomous event detection and clustering framework is employed to test a more complete catalog of this short period of time. The goal is to illustrate the effectiveness of the technique and pursue the framework for longer period of time.
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来源平台US Department of Energy (DOE)
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文献类型科技报告
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/6490
专题地球科学
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Gok, M. Rengin,Al-Jerri, Farra,Dodge, Douglas. Detection of Local/Regional Events in Kuwait Using Next-Generation Detection Algorithms,2014.
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