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震后趋势的模糊聚类分析判别

THE EARLY JUDGMENT ON POST-EARTHQUAKE TENDENCY BY USINC FUZZY CLUCTER METHOD

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【作者】 曾健韩渭宾王虹席敦礼

【Author】 Zeng Jian Hart weibin Wang Hong Xi Dunli Seismological Burean of Sichuan Province

【机构】 四川省地震局四川省地震局

【摘要】 本文以地震序列的11项特征参数作为指标,采用 ISODATA 模糊聚类方法对地震序列进行分类,以 M≥M0.3为标准将地震序列分为两类;Ⅰ类为震后三个月内还有震级为 M≥M0-0.3的地震发生;Ⅱ类为主震 M0后无 M≥M0-0.3级的地震。以中国大陆地区1966年以来的39次地震震例序列建立震后判别模型,然后以近期发生的4次中强震和5次云南地震进行了外推检验,结果表明,该方法对地震序列类型的判别具有较好的效果。

【Abstract】 In this paper,earthquake sequences have been classified by using fuzzy cluster method.11 items of characteristic parameters of ear thquake sequences have been chosen as indexes.According to the standard of MMo-0.3, earthquake sequences are divided into two categories:typc-Ⅰ sequences are these in which earhquakes with MMo-0.3 occur in the same area within 3 months after a moderate or strong earthquake(Mo4.7);type-Ⅱ sequences are these in which no MMo-0.3 earthquakes occur within 3 months.The discriminating model of post-earthquake tendency has been built by using 39 known earthquake sequences occurred in the continent region of China since 1966.Then,extrapolation tests are taken by using 9 earthquake sequences recently occurred in China.The results indicate that this method has good effects on discrjminating the type of earthquake sequences,and can be used in henceforth prediction practice.

  • 【文献出处】 四川地震 ,Earthquake Research in Sichuan , 编辑部邮箱 ,1991年03期
  • 【被引频次】5
  • 【下载频次】23
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