摘要
在充分了解地震序列特征的基础上，选出２６项地震序列的原始特征。根据这些原始特征的Ｗａｌｌｅｎ评分，精选出１１项能突出表现地震序列的特征参数作为指标。采用ＩＳＯＤＡＴＡ模糊聚类方法对地震序列进行分类，Ⅰ类为Ｍ≥６．０强震后三个月内还有震级为Ｍ≥５．０的强震发生；Ⅱ类为Ｍ≥６．０强震后三个月内无Ｍ≥５．０的地震。对中国大陆地区１９６６年以来的２２次Ｍ≥６．０强震序列进行聚类分析，建立预报震后趋势判别模型，然后以８次强震序列为例进行了外推检验。结果表明，该方法对地震序列类型的判别效果较好。
Based on the full understanding of characteristics of earthquake sequences,26 items oforiginal features of earthquake sequences are selected from distinct views of physics back-ground.According to the Wallen scores of these original features,11 items of original fea-tures which can prominently represent the characteristics of earthquake sequences are care-fully chosen as indexes.Using ISODATA method of fuzzy clustering,earthquake sequencesare classified into two categories:Type-Ⅰ sequences are these in which earthquakes withM≥5.0 occur in the same area within 3 months after an earthquake with M≥6.0;Type-Ⅱ sequences are these in which no M≥5.0 earthquakes occur within 3 months.The dis-criminating model of post-earthquake tendency has been built by using 22 known earth-quake sequences occurred in the China continent since 1966.Then,extrapolation tests aretaken by using other 8 earthquake sequences occurred in China.The results indicate thatthis method has good effects on discriminating the type of earthquake sequences.
出处
《西北地震学报》
CSCD
1994年第3期35-41,共7页
Northwestern Seismological Journal
关键词
地震序列
模糊聚类分析
类型
地震
Earthquake sequence
Characteristic parameter
Fuzzy clustering
Discriminating model
