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Seismic Event Identification of Earthquakes and Explosions in Germany Using Spectral Lg Ratios

机译:利用谱Lg比确定德国地震和爆炸的地震事件

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At the German NDC initial work on seismic event identification has focused on the application of spectral amplitude ratios for Lg in order to discriminate naturally occurring seismic events from other events associated with mining and quarry activities. Only about 10% of all seismic events occurring in Germany and adjacent areas are due to natural seismicity and are mostly constrained to the Alpine regions and areas along the Rhinegraben, Rhenish massif, Swabian Jura, and the Bohemian massif (Vogtland region). Using data from the broadband GRSN network, spectral amplitude ratios are calculated from maximum trace amplitudes in the 1-2 Hz and 6-8 Hz frequency bands, which are within the passbands of the deployed STS-2 instruments and the recorded 20 Hz data streams. These amplitude ratios then must be corrected with an appropriate attenuation model in order to remove propagation paths effects. For event identification, a scoring scheme is applied across the GRSN network, based on station-dependent scoring thresholds. In a case study aimed at testing the identification scheme, events are investigated from a quarry in southern Germany that provided ground-truth information for six events in 1997 to demonstrate the suitability of this identification approach. Except for one event with a rather strong earthquake signature, i.e., a low spectral Lg ratio, these events could be screened out from the earthquake population by their large Lg ratios. In a second step, aimed at applying the identification scheme, all events in Germany and neighboring areas that occurred in 1995 were processed, with approximately 800 out of more than 1200 events showing explosion-type Lg ratios, while only 10% remain in the earthquake population. However, specific mining areas appear to consistently produce earthquake-type spectral ratios indicative of particular blasting practices.
机译:在德国国家数据公司(NDC)上,地震事件识别的初步工作集中于Lg的频谱振幅比的应用,以便将自然发生的地震事件与与采矿和采石场活动相关的其他事件区分开。在德国及其附近地区发生的所有地震事件中,只有大约10%是由于自然地震活动造成的,并且主要限制在阿尔卑斯山地区以及莱茵格拉本,莱茵河断层块,施瓦本朱拉和波希米亚断层块(沃格兰地区)沿线地区。使用来自宽带GRSN网络的数据,从1-2 Hz和6-8 Hz频带中的最大迹线振幅计算频谱振幅比,这些振幅在已部署的STS-2仪器和记录的20 Hz数据流的通带内。然后必须使用适当的衰减模型来校正这些振幅比,以消除传播路径的影响。对于事件识别,基于与站点相关的评分阈值,在GRSN网络上应用评分方案。在旨在测试识别方案的案例研究中,对德国南部一家采石场的事件进行了调查,该事件为1997年的六次事件提供了真实的信息,以证明这种识别方法的适用性。除了一个具有较强地震特征的事件(即低频谱Lg比率)外,这些事件可以通过其较大的Lg比率从地震种群中筛选出来。在第二步中,旨在应用识别方案,处理了1995年德国及其周边地区的所有事件,在1200多个事件中,大约有800个事件显示爆炸型Lg比率,而地震中仅剩下10%人口。但是,特定的矿区似乎始终如一地产生表明特定爆破实践的地震类型光谱比。

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