摘要
根据36个初选问题的Wallen评分,精选出10项能突出表现地震序列的特征参数作为指标,采用FCM模糊聚类方法对地震序列进行分类,在分类过程中,将地震序列分为两类:Ⅰ类为M≥6.0强震后六个月内还有震级为M≥5.0的强震发生;Ⅱ类为M≥6.0强震后六个月内无M≥5.0地震。以中国大陆地区1966年以来的26次M≥6.0强震序列建立震后判别模型,然后以近期发生的8次强震序列进行了外推检验。
According to the Wallen scores of 36 primary individual features, 10 items of the features which can prominently represent the characteristics of earthquake sequences are carefully chosen as indices.By using FCM algorithm of Fuzzy clustering,the earthquake sequences are classified into two categories:Type-I sequence is that the earthquakes with M≥5.0 will occur in the same area within 6 months after an earthquake with M≥ 6.0 ;Type-Ⅱ sequence is that no earthquakes with M≥ 5.0 will occur in the same area within 6 months after an earthquake with M≥ 6.0. The discriminating model of post-seismic tendency has been established by using 26 known Af****** 6.0 earthquake sequences in the continental region of China since 1966. Then, extrapolation tests are taken by using other 8 strong earthquake sequences occurred in China recently.
出处
《地震》
CSCD
北大核心
1994年第1期57-60,共4页
Earthquake
关键词
地震序列
地震
震级
模糊聚类分析
earthquake sequence
characteristics parameter
FCM algorithm
discriminating model
extrapolation test