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Detection and Analysis of Near-Surface Explosions on the Kola Peninsula

机译:可乐半岛近地表爆炸的探测与分析

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Seismic and infrasonic observations of signals from a sequence of near-surface explosions at a site on the Kola Peninsula have been analyzed. NORSAR’s automatic network processing of these events shows a significant scatter in the location estimates and, to improve the automatic classification of the events, we have performed full waveform cross-correlation on the data set. Although the signals from the different events share many characteristics, the waveforms do not exhibit a ripple-for-ripple correspondence and cross-correlation does not result in the classic delta-function indicative of repeating signals. Using recordings from the ARCES seismic array (250 km W of the events), we find that a correlation detector on a single channel or three-component station would not be able to detect subsequent events from this source without an unacceptable false alarm rate. However, performing the correlation on each channel of the full ARCES array, and stacking the resulting traces, generates a correlation detection statistic with a suppressed background level which is exceeded by many times its standard deviation on only very few occasions. Performing f-k analysis on the individual correlation coefficient traces, and rejecting detections indicating a non-zero slowness vector, results in a detection list with essentially no false alarms. Applying the algorithm to 8 years of continuous ARCES data identified over 350 events which we confidently assign to this sequence. The large event population provides additional confidence in relative travel-time estimates and this, together with the occurrence of many events between 2002 and 2004 when a temporary network was deployed in the region, reduces the variability in location estimates. The best seismic location estimate, incorporating phase information for many hundreds of events, is consistent with backazimuth measurements for infrasound arrivals at several stations at regional distances. At Lycksele, 800 km SW of the events, as well as at ARCES, infrasound is detected for most of the events in the summer and for few in the winter. At Apatity, some 230 km S of the estimated source location, infrasound is detected for most events. As a first step to providing a Ground Truth database for this useful source of infrasound, we provide the times of explosions for over 50 events spanning 1 year.
机译:分析了可乐半岛某个地点的一系列近地表爆炸信号的地震和次声观测。 NORSAR对这些事件的自动网络处理显示出位置估计值的显着分散,并且为了改善事件的自动分类,我们对数据集进行了全波形互相关。尽管来自不同事件的信号具有许多特性,但是波形不显示波纹纹波对应,互相关也不会导致经典的三角函数表示重复信号。使用来自ARCES地震阵列的地震记录(事件的250 km),我们发现,如果没有不可接受的误报率,单通道或三分量电台上的相关检测器将无法从该源中检测后续事件。但是,在整个ARCES阵列的每个通道上执行相关运算并堆叠结果轨迹,会生成相关检测统计信息,该统计信息的受抑制背景电平仅在极少数情况下超过其标准偏差的许多倍。对各个相关系数迹线执行f-k分析,并拒绝指示非零慢度矢量的检测,将导致检测列表基本没有误报。将算法应用于连续8年的ARCES数据中,可以识别出350多个事件,我们确信地将其分配给了该序列。大量事件提供了相对旅行时间估计的额外置信度,这与2002年至2004年期间在该地区部署临时网络时发生的许多事件一起,减少了位置估计的变化。结合了数百个事件的相位信息的最佳地震位置估计值,与在区域距离几个站次声波到达的后方位角测量结果一致。在Lycksele,事件发生西南800公里处以及ARCES,次要事件在夏季的大多数事件中被检测到,而在冬季则很少。在Apatity,估计震源位置约230 km,在大多数事件中都检测到次声。作为为此有用的次声源提供地面真相数据库的第一步,我们提供了跨越1年的50多个事件的爆炸时间。

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