余震自动识别技术研究进展

Developments of Research on Automatic Aftershock Recognition Technology

基于余震识别自动化对地震监测、灾后应急、确定发震构造、分析预报和科学研究的重要意义,总结和分析了余震自动识别技术的现状和未来发展。首先,总结单台震相到时自动拾取方法及其特征函数,包括单特征方法、互相关方法和机器学习方法。其次,分别总结基于震相走时的常规识别方法和基于特征函数的偏移叠加方法。最后,对余震识别技术的未来发展进行分析和展望,认为偏移叠加方法的性能改进将成为未来余震识别的重点发展方向,深度学习方法作为一种新技术,将在包括震相拾取和余震识别在内的地震数据处理领域发挥重要作用。

Base on the important significance of the automatic identification of aftershocks for earthquake monitoring,emergency response,determine the seismic structure,forecast analysis and scientific research,the present situation and future development of the automatic identification technology of aftershock are summarized and analyzed.First,we summarized automatic phase identification method and characteristic function of single station,including common single feature method and cross correlation method and machine learning method. Second,we summarized conventional methods which base on phase arrival time and migration stack methods which base on characteristic function. Finally,we analyzed and proposed the future of aftershock recognition technology,the improved performance of migration stack methods will be important development direction for after shocks identification.The deep learning is a new technology,which will play an important role in areas of seismic data processing,which include phase picking and aftershocks identification.