基于最邻近事件距离算法的丛集地震识别方法及应用

地震 ›› 2014, Vol. 34 ›› Issue (4): 100-109.

基于最邻近事件距离算法的丛集地震识别方法及应用

郑建常, 李东梅, 王鹏, 吕子强, 林眉

山东省地震局,山东济南250014

收稿日期:2013-10-02 修回日期:2014-03-02 发布日期:2020-09-11
作者简介:郑建常(1978),男,山东聊城人,高级工程师,主要从事地震分析预测等研究。
基金资助:
国家科技支撑计划子专题(2012BAK19B04-01-05)、中国地震局监测预报司震情跟踪青年课题(2014020103)以及山东省自然科学基金(ZR2012DQ006)共同资助

Method and Application of Clustering Seismicity Identification based on N earest-neighbor Distance

ZHENG Jian-chang, LI Dong-mei, WANG Peng, LU Zi-qiang, LIN Mei

Earthquake Administration of Shandong Province, CEA, Ji'nan 250014, China

Received:2013-10-02 Revised:2014-03-02 Published:2020-09-11

摘要/Abstract

摘要： 引入Zaliapin 等发展的基于最邻近事件距离算法的丛集地震识别方法,首先使用不同类型的数据对方法进行检验,然后对胶东半岛和沂沭带的区域小震活动进行分析。结果表明,1996年以来沂沭带的小震活动近似满足泊松随机过程,主要是背景地震活动;而胶东半岛地区小震则存在明显的成丛活动。最后将该方法应用到1976年唐山Ms7.8地震序列,通过序列发展不同时段的对比分析,结果表明,随着时间的推移,唐山地震序列中受此前发生的主震和较大余震影响作用的事件越来越少,序列的丛集性明显减弱,更多的小震或许可视为反映区域应力状态的背景地震。

关键词: 丛集地震, 背景地震, ETAS模型, 唐山地震序列

Abstract: The clustering seismicity identification method based on nearest- neighbor distance proposed by Zaliapin et al, is adopted in this paper. Firstly, different type's data are used to test its validity; then, the method is applied to regional seismicity in Jiaodong peninsula and Yishu fault belt. The results show that,small earthquake activities in Yishu fault belt from 1996 satisfy Poisson stochastic process approximatively, which can be seen as background seismicity; while activities in J iaodong peninsula area display obvious clustering features. Finally, the method is applied to the 1976 Tangshan M_s7.8 earthquake sequence. Comparing different stages of the Tangshan earthquake sequence, the results indicate that, with the elapse of time, events affected by the main shock and previous large aftershocks become lesser and lesser, the clustering features of the T angshan sequenceare gradually fading out, and more and more smnall shocks in the sequence maybe treated as background seismicity.

Key words: Earthquake cluster, Background seismicity, ETAS model, Tangshan earth-quake sequence

中图分类号:

P315.7

郑建常, 李东梅, 王鹏, 吕子强, 林眉. 基于最邻近事件距离算法的丛集地震识别方法及应用[J]. 地震, 2014, 34(4): 100-109.

ZHENG Jian-chang, LI Dong-mei, WANG Peng, LU Zi-qiang, LIN Mei. Method and Application of Clustering Seismicity Identification based on N earest-neighbor Distance[J]. EARTHQUAKE, 2014, 34(4): 100-109.

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