地球与行星物理论评（中英文）2025，Vol.56Issue(1)：94-101,8.DOI:10.19975/j.dqyxx.2024-020
基于聚类的重复地震识别方法及应用
A clustering-based repeating earthquakes identification method and its application
摘要
Abstract
Events with highly similar waveforms and rupturing of the same fault patch are interpreted as re-peating earthquakes,which can be applied in detecting deep fault deformation,characterizing fault behavior,and assess seismic hazards.In this study,we develop a clustering-based repeating earthquakes identification method by using the hierarchical clustering algorithm in machine learning.First,the parallel waveform cross-correlation meth-od is adopted to calculate the cross-correlation coefficient(CC).Then,the S-P differential time is used to measure the inter distance of events.Finally,the hierarchical clustering is applied to obtain repeating clusters.We utilize this method to investigate the seismicity around the Ganzi-Yushu fault(GYF)and the eastern Kunlun fault(EKLF).We identify 6 repeating clusters along the GYF,with an average fault slip rate of 7.4 mm/a.Around the EKLF,we identify 3 repeating clusters,with an average fault slip rate of 6.9 mm/a.Along the EKLF,the fault slip rates gradu-ally decreases from the west to the east along the strike,indicating a complex dynamic process.Our results agree with geology observation and GPS data.Based on real data testing,our results show that the method to identify re-peating earthquakes is automatic,efficient and convenient and provides basic information for accurate identifica-tion of repeating earthquakes and places constraints on fault activity.关键词
重复地震/聚类分析/甘孜—玉树断裂带/东昆仑断裂带Key words
repeating earthquakes/clustering analysis/the Ganzi-Yushu fault/the eastern Kunlun fault分类
地球科学引用本文复制引用
黄雅芬,李红谊,李炎臻,葛慧颖,张盛中..基于聚类的重复地震识别方法及应用[J].地球与行星物理论评（中英文）,2025,56(1):94-101,8.基金项目
国家自然科学基金资助项目(U1939203)Supported by the National Natural Science Foundation of China(Grant No.U1939203) （U1939203）
