A Real-Time Discrimination System of Earthquakes and Explosions for the Mainland Spanish Seismic Network

详细信息    查看全文

• 作者：Marta García Vargas ; Juan Rueda ; Rosa María García Blanco…
• 关键词：Earthquakes ; explosions ; real ; time identification ; waveform ; based discrimination ; multivariate analysis
• 刊名：Pure and Applied Geophysics
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：174
• 期：1
• 页码：213-228
• 全文大小：
• 刊物类别：Earth and Environmental Science
• 刊物主题：Geophysics/Geodesy;
• 出版者：Springer International Publishing
• ISSN：1420-9136
• 卷排序：174

文摘

Different waveform-based discrimination parameters were tested using multivariate statistical analysis to develop a real-time procedure for discriminating explosions from earthquakes at regional distances in the Iberian Peninsula. This work enabled a purge of the Spanish National Seismic Catalogue for the period 2003–2014. The training data consisted of waveform-based signal properties in the time and frequency domain for events (earthquakes and explosions) recorded during the selected time period by the Spanish Broadband National Network and Sonseca short-period Array of the Instituto Geográfico Nacional (IGN). For each station and its associated training dataset, a discriminant function was defined as a linear combination of the measured variables. All station-specific discriminant functions were then combined with a weighting scheme to test the training events, revealing that 86 % of the events were consistent with the analysts’ judgement. The application of this method to the whole of the IGN’s seismic database for the studied period gave an 83 % success rate; however, a 91 % success rate is reached if events are classified using at least three stations and 100 % confidence levels.