Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.2172/1252605 |
报告编号 | LLNL-TR--665290 |
来源ID | OSTI 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. |
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/6490 |
专题 | 地球科学 |
推荐引用方式 GB/T 7714 | Gok, M. Rengin,Al-Jerri, Farra,Dodge, Douglas. Detection of Local/Regional Events in Kuwait Using Next-Generation Detection Algorithms,2014. |
条目包含的文件 | 条目无相关文件。 |
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