• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Pure and Applied Geophysics >Identification of Earthquakes and Explosions Using Amplitude Ratios: The Vogtland Area Revisited
【24h】

Identification of Earthquakes and Explosions Using Amplitude Ratios: The Vogtland Area Revisited

机译：使用振幅比识别地震和爆炸：重新审视沃格特兰地区

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Identification of seismic events is a major scientific issue in the framework of verification of the Comprehensive Nuclear-Test-Ban Treaty (CTBT). Of special interest in this context is the identification of the numerous low-yield mining or blasting events, especially those occurring in the same area as earthquakes, such as the Vogtland area in the border region of Germany and the Czech Republic. Seismic events in this area were investigated by Wuster (1993, 1995), who achieved complete discrimination using measures of spectral decay and spectral variance at the GERESS array and a quadratic discrimination function. A subset of these events, for which ground-truth information is available, has been analyzed in this study using multivariate statistical analysis. Various parameters based on measurements from seismic waveforms of the broadband stations of the German Regional Seismic Network (GRSN) and short-period elements of the GERESS array are tested for statistical significance in a linear regression analysis, in particular spectral amplitude ratios for the L_g phase and P_g/S_g amplitude ratios. The subset includes a total of 35 explosions and 24 earthquakes. The results of our study argue that identification based on spectral L_g and high-frequency P_g/S_g ratios is promising. However, discrimination success is strongly varying from station to station; thus, weighting according to station success rates could improve the overall identification capability.
机译：在核查《全面禁止核试验条约》（《全面禁试条约》）的框架内，地震事件的识别是一个主要的科学问题。在这种情况下，特别令人感兴趣的是确定众多低产采矿或爆破事件，尤其是那些与地震发生在同一地区的事件，例如德国和捷克共和国边界地区的沃格特兰地区。 Wuster（1993，1995）研究了该地区的地震事件，他们使用GERESS阵列的频谱衰减和频谱方差以及二次判别函数实现了完全判别。在这项研究中，已使用多元统计分析方法分析了其中一些事件的子集，这些事件的子集可以获取真实的信息。在线性回归分析中，测试了基于来自德国区域地震台网（GRSN）宽带站的地震波形和GERESS阵列的短周期元素的各种参数的统计显着性，尤其是L_g相的频谱振幅比和P_g / S_g振幅比。该子集包括总共35次爆炸和24次地震。我们的研究结果认为，基于频谱L_g和高频P_g / S_g比的识别是有希望的。但是，每个站点的辨别成功率差异很大。因此，根据测站成功率进行加权可以提高整体识别能力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号