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Considerations in phase estimation and event location using small-aperture regional seismic arrays

机译:使用小孔径区域地震阵列进行相位估计和事件定位的考虑

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The global monitoring of earthquakes and explosions at decreasing magnitudes necessitates the fully automatic detection, location and classification of an ever increasing number of seismic events. Many seismic stations of the International Monitoring System are small-aperture arrays designed to optimize the detection and measurement of regional phases. Collaboration with operators of mines within regional distances of the ARCES array, together with waveform correlation techniques, has provided an unparalleled opportunity to assess the ability of a small-aperture array to provide robust and accurate direction and slowness estimates for phase arrivals resulting from well-constrained events at sites of repeating seismicity. A significant reason for the inaccuracy of current fully-automatic event location estimates is the use of f-k slowness estimates measured in variable frequency bands. The variability of slowness and azimuth measurements for a given phase from a given source region is reduced by the application of almost any constant frequency band. However, the frequency band resulting in the most stable estimates varies greatly from site to site. Situations are observed in which regional P- arrivals from two sites, far closer than the theoretical resolution of the array, result in highly distinct populations in slowness space. This means that the f-k estimates, even at relatively low frequencies, can be sensitive to source and path-specific characteristics of the wavefield and should be treated with caution when inferring a geographical backazimuth under the assumption of a planar wavefront arriving along the great-circle path. Moreover, different frequency bands are associated with different biases meaning that slowness and azimuth station corrections (commonly denoted SASCs) cannot be calibrated, and should not be used, without reference to the frequency band employed. We demonstrate an example where fully-automatic locations based on a source-region specific fixed-parameter template are more stable than the corresponding analyst reviewed estimates. The reason is that the analyst selects a frequency band and analysis window which appears optimal for each event. In this case, the frequency band which produces the most consistent direction estimates has neither the best SNR or the greatest beam-gain, and is therefore unlikely to be chosen by an analyst without calibration data.
机译:为了对地震和爆炸的级别不断降低进行全球监控,有必要对不断增加的地震事件进行全自动检测,定位和分类。国际监测系统的许多地震台站都是小孔径阵列,旨在优化区域相的探测和测量。与ARCES阵列的区域距离内的地雷运营商的合作以及波形相关技术为评估小孔径阵列提供可靠而准确的方向和慢速估计能力的无与伦比的机会,这些估计是由井眼产生的相位到达的重复地震活动现场的约束事件。当前的全自动事件位置估计的不准确性的一个重要原因是使用在可变频带中测量的f-k慢度估计。通过应用几乎任何恒定的频带,可以减少来自给定源区域的给定相位的慢度和方位角测量的可变性。但是,导致最稳定估计的频带在站点之间差异很大。观察到了这样的情况,其中来自两个站点的区域P到达距离远比阵列的理论分辨率更近,导致在慢速空间中出现高度不同的总体。这意味着即使在相对较低的频率下,fk估计值也可能对波场的源和路径特定特性敏感,并且在假定沿大圆到达平面波前的地理背方位角时,应谨慎对待路径。而且,不同的频带与不同的偏差相关联,这意味着慢速和方位角站校正(通常表示为SASC)不能被校准,并且不参考所使用的​​频带就不能使用。我们演示了一个示例,其中基于源区域特定的固定参数模板的全自动位置比相应的分析师审查的估计值更稳定。原因是分析人员选择了一个频带和分析窗口,这些窗口和窗口对于每个事件而言都是最佳的。在这种情况下,产生最一致方向估计的频带既没有最好的SNR也没有最大的波束增益,因此没有校准数据的分析人员不太可能选择该频带。

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