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胶东半岛小震丛集特征研究
引用本文:李小晗,郑建常. 胶东半岛小震丛集特征研究[J]. 大地测量与地球动力学, 2022, 42(1): 77-81
作者姓名:李小晗  郑建常
作者单位:山东省地震局
基金项目:山东省地震局一般科研项目(YB2104);中国地震局震情跟踪定向工作任务(2021020501)。
摘    要:以最邻近事件距离算法为基础,结合混合概率密度分布对胶东半岛地区的小震丛集特征进行分析。结果表明:1)该地区存在明显的地震成丛现象,且近年来丛集率显著提高;2)乳山震群和莱州地震前,半岛地区均存在b值降低和丛集率升高的现象。分析认为,低b值异常配合高丛集率可能是该区域地震活动较好的预测指标。

关 键 词:小震群活动  最邻近事件距离算法  混合概率密度函数  地震丛集率  b  

Study on the Characteristics of Small Earthquake Clustering in Jiaodong Peninsula Area
LI Xiaohan,ZHENG Jianchang. Study on the Characteristics of Small Earthquake Clustering in Jiaodong Peninsula Area[J]. Journal of Geodesy and Geodynamics, 2022, 42(1): 77-81
Authors:LI Xiaohan  ZHENG Jianchang
Affiliation:(Shandong Earthquake Agency,20 East-Wenhua Road,Ji’nan 250014,China)
Abstract:Based on the nearest-neighbor distance algorithm, we analyze the clustering characteristics of small earthquakes in Jiaodong peninsula area using the mixture probability density function. The results show that: 1) The phenomenon of earthquake clustering is very obvious in this area, and the clustering rate has increased significantly in recent years. 2) b value decreased and clustering rate increased in Jiaodong peninsula area before the Rushan earthquake swarm and the Laizhou earthquake. Therefore, the coexistence of low b value and high clustering rate is a good predictor of seismicity in this area.
Keywords:small earthquake swarm  nearest-neighbor distance algorithm  mixture probability density function  earthquake clustering rate  b value
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