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首页> 外文期刊>Journal of seismology >Hypocenter location of mixed events in real-time processing systems
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Hypocenter location of mixed events in real-time processing systems

机译：实时处理系统中混合事件的震中位置

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摘要

Automatic pickings in earthquake real-time monitoring systems often contain noise bursts and/or phases of different event(s) occurring almost simultaneously. Typically, a locator uses these picks as P and S waves arrival times coming from a single event and, therefore, should be complemented by a distinctive phase association logic. The method we propose manages to automatically associate data related to different events and eliminates the influence of spoiled data from single events. The method is based on "network beamforming", a robust and stable algorithm, which utilizes a hypocenter grid search for the stack maximum of a set of complex exponents applied to the P phase readings. The algorithm separates the residual outliers and then uses them for location. If successful, a hypocenter is established for the interfering event. The solutions obtained are overall robust and independent from the estimate of origin times. The preliminary epicenter for the grid search is provided by the intersection of perpendicular bisectors in the modified "arrival order algorithm" or by the modified "T-now" algorithm, which uses non-arrival information. We applied this method to automatic first arrival phase readings of 915 events registered by the Hi-net Japan seismic network and our results are statistically promising. Here, we present two interesting and complicated examples.
机译：地震实时监控系统中的自动拾取通常包含几乎同时发生的噪声突发和/或不同事件的相位。通常，由于单个事件的P波和S波到达时间，定位器会使用这些拾波器，因此应通过独特的相位关联逻辑进行补充。我们提出的方法设法自动关联与不同事件相关的数据，并消除单个事件中损坏的数据的影响。该方法基于“网络波束成形”，这是一种鲁棒且稳定的算法，该算法利用震源网格搜索来获取应用于P相读数的一组复杂指数的堆栈最大值。该算法将残差离群值分离出来，然后将其用于定位。如果成功，则为干扰事件建立震源。所获得的解决方案总体上是可靠的，并且与原始时间的估计无关。网格搜索的初步震中由修改后的“到达顺序算法”中的垂直平分线的交点或使用未到达信息的修改后的“ T-now”算法提供。我们将此方法应用于了由日本Hi-net日本地震台网记录的915个事件的自动首次到达阶段读数，我们的结果在统计上是有希望的。在这里，我们提供两个有趣而复杂的示例。

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