An Improved Algorithm for Real‐Time S‐Wave Picking with Application to the (Augmented) ANZA Network in Southern California
An Improved Algorithm for Real‐Time S‐Wave Picking with Application to the (Augmented) ANZA Network in Southern California
复制标题
一种改进的实时 S 波拣选算法，应用于南加州（增强型）ANZA 网络
DOI：
10.1785/0120150230
复制
发表时间：
2016
影响因子：
3
通讯作者：
Y. Ben‐Zion
中科院分区：
文献类型：
--
作者：
Z. Ross;Malcolm C. A. White;F. Vernon;Y. Ben‐Zion
摘要：我们开发了一种适合于实时应用以及现有数据库的自动剪切波拾取算法。该方法可以扫描连续波形包，并在事先不知道是否发生地震的情况下进行拾取。这使得该算法适用于同时检测地震。该算法扩展并改进了Ross和Ben‐Zion （2014a）的方法，首先使用偏振滤波器从地震记录中去除P波能量。然后，将短期平均/长期平均和峰度检测器串联应用于数据以锁定相位到达。通过将该方法应用于123个站点的区域网络记录的整整一个月的连续波形数据，并将结果自动拾取与11,353个手工拾取进行比较，对该方法进行了测试。在75%的时间里，自动选择在分析师选择的0.16秒内被发现，而在P波选择的时间里，s选择的成功率为92%。然后将该算法应用于一整年的连续数据，并检测到11197次地震。这些地震的震源，与区域网络的自动目录相比，平均提高了1公里以上。
Abstract We develop an automatic shear‐wave picking algorithm suitable for real‐time applications as well as with existing databases. The method can scan through packets of continuous waveforms and make picks without prior knowledge of whether earthquakes have occurred. This makes the algorithm suitable for detecting earthquakes at the same time. Expanding upon and improving the method of Ross and Ben‐Zion (2014a), the algorithm first uses polarization filters to remove P ‐wave energy from the seismogram. Then, short‐term average/long‐term average and kurtosis detectors are applied to the data in tandem to lock in on the phase arrival. The method is tested by applying it to a full month of continuous waveform data recorded by a regional network at 123 stations and comparing the resulting automatic picks with 11,353 handmade picks. The automatic picks are found to be within 0.16 s of the analyst picks 75% of the time, and S picks are successful 92% of the time that a P ‐wave pick is made. The algorithm is then applied to an entire year of continuous data and detects 11,197 earthquakes. The hypocenters of these earthquakes are, on average, improved by more than 1 km when compared with the regional network’s automated catalog.
影响因子：
2.8
作者：
H. Qiu;Y. Ben‐Zion;Z. Ross;P. Share;F. Vernon
通讯作者：
H. Qiu;Y. Ben‐Zion;Z. Ross;P. Share;F. Vernon