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。
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.
作者
李小晗
郑建常
LI Xiaohan;ZHENG Jianchang(Shandong Earthquake Agency,20 East-Wenhua Road,Ji’nan 250014,China)
出处
《大地测量与地球动力学》
CSCD
北大核心
2022年第1期77-81,共5页
Journal of Geodesy and Geodynamics
基金
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)。
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值
small earthquake swarm
nearest-neighbor distance algorithm
mixture probability density function
earthquake clustering rate
b value