摘要
地震活动存在着高度的复杂性和非线性关系,难以挖掘出隐含的相关地震区域,为此提出将极值理论和地震时间序列匹配相结合用于地震趋势研究的基本方法。该方法基于形态的时间-震级二维相似性匹配算法,运用极值理论对相似区域的地震目录进行统计研究,从而验证区域之间存在相关性。对给定区域的历史数据应用该方法,结果证明其能对未来地震趋势做出判断。
It is difficult to dig out the relevant hidden earthquake region because of the high complexity and non-linear relationship in seismic activity.To solve this problem,a new method is used to study the seismic trend combining time sequence similarity matching with Extreme Value Theory（EVT）,including morphology-based time sequence-earthquake magnitude Two-Dimensional（2D） similarity matching and statistical research by applying EVT.Some correlation between the regions is verified according to those methods.The effectiveness of the method is verified and the judgment is made by applying it in the historical data.
出处
《计算机工程》
CAS
CSCD
北大核心
2011年第10期16-18,22,共4页
Computer Engineering
基金
安徽省自然科学基金资助项目(090412063)
安徽省高等学校优秀青年人才基金资助项目(2011SQRL018)
安徽大学青年科学研究基金资助项目
关键词
极值理论
复发周期
时间-震级二维相似性
时间序列匹配
中强地震
extreme value theory
recurrence period
Two-Dimensional（2D） similarity between time-magnitude
time-sequence matching
moderate-strong earthquake
