基于信号整体与局部特征的地震数据自动处理方法研究

提出一种基于信号整体与局部特征的地震数据自动处理新方法， 该方法不同于以往仅采用包络线互相关来直接检测事件. 新方法依然按照检测、 识别、 关联和定位等4个步骤进行处理， 但在进行单个震相信号检测的同时， 也检测信号波列并利用其包络线特征来识别和关联震相. 文中详细阐述了数据处理过程中如何定义一个波列及抽取和应用其特征. 相关的数据处理技术目前已成功应用于区域台网的日常数据处理分析中. 作为例子， 给出了对新疆区域台网连续16天数据进行测试处理的结果. 实际应用结果表明， 这种新方法可以大幅度降低自动处理结果的误检、 漏检率， 在实际应用中具有很好的前景. 

A novel technique for automatic seismic data processing using both integral and local features of seismograms

Reliable automation of data processing is of great significance for modern seismic monitoring. A novel technique for automatic seismic data processing which utilizes both integral and local features of seismograms was presented in this paper. However, unlike some previous efforts which seek to use envelope cross-correlation to detect seismic events directly, our technique keeps to follow the DIAL approach, i.e., by steps of signal detection, phase identification, association and event localization. However, in addition to detect signals corresponding to individual seismic phases, the new technique also detects continuous wave-trains and explores their envelope features for phase type identification and signal association. More concrete ideas about how to define wave-trains and combine them with various detections as well as how to measure and utilize their features in the seismic data processing were expatiated in the paper. This approach has been applied to the routine data processing of regional seismic networks for several years, and as an application example, here were presented test results for a 16 days' period using data from the Xinjiang regional seismic network. Practical application results show that the new technique can reduce both false alarm and missed event rate significantly and has good application prospects.