基于序列匹配和极值理论对地震趋势的研究
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摘要
通过分析造成地震发生的各种因素之间的关系,提出了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思想。针对传统地震时间序列匹配算法的不足,提出了将基于形态的时间-震级二维相似性匹配算法和极值理论相结合对未来地震趋势进行分析的方法。该方法采用时间-震级二维相似性匹配的方法寻找最佳地震匹配区域,用极值理论对该区域地震活动的复发周期和发震概率及其概率阈值进行数据处理,从而获得对该地区未来一段时间的地震趋势做出判断。以安徽及周边地区为例,阐述了应用该方法进行研究的一般步骤。
Based on the analysis of the relations among various factors contributing to earthquake occurrences,a basic thought is put forward that the combination of extreme value theory(EVT) with a time-sequence similarity matching algorithm for seismological relevant zones is adopted for earthquake trends.To solve the deficiency of traditional time-sequence similarity matching algorithm,a new method is developed combining morphology-based time sequence-earthquake magnitude 2D similarity matching with EVT.Time sequence-earthquake magnitude 2D similarity matching method is used to determine optimum seism matching zones,while EVT is adopted for processing data on earthquake recurrence period,occurrence probability and probability threshold in the region to effectively predict earthquake trends for some time to come in the region.The general procedures for application of this method on earthquake study are presented,taking Anhui and surrounding areas for example.
Based on the analysis of the relations among various factors contributing to earthquake occurrences,a basic thought is put forward that the combination of extreme value theory(EVT) with a time-sequence similarity matching algorithm for seismological relevant zones is adopted for earthquake trends.To solve the deficiency of traditional time-sequence similarity matching algorithm,a new method is developed combining morphology-based time sequence-earthquake magnitude 2D similarity matching with EVT.Time sequence-earthquake magnitude 2D similarity matching method is used to determine optimum seism matching zones,while EVT is adopted for processing data on earthquake recurrence period,occurrence probability and probability threshold in the region to effectively predict earthquake trends for some time to come in the region.The general procedures for application of this method on earthquake study are presented,taking Anhui and surrounding areas for example.
引文
[1]吴绍春,吴耿锋,王炜.寻找地震相关地区的时间序列相似性匹配算法[J].软件学报,2006,17(2):185-192.
[2]夏成明,张恩立,李昊.台湾与长-南地震带中强地震活动的周期性与相关性研究[J].东北地震研究,2008,24(1):28-38.
[3]汤胤.时间序列相似性分析方法研究[J].计算机工程与应用,2006,42(1):68-71.
[4]李阳,李辉.基于形状相似性的快速成型扫描算法检索实例[J].计算机工程与设计,2009,30(21):4998-5002.
[5]毛红保,张凤鸣,冯卉,等.基于参数重要度的多元时间序列相似性查询[J].计算机工程,2009,35(24):54-56.
[6]刘宝生,闫莉萍,周东华.几种经典相似性度量的比较研究[J].计算机应用研究,2006,23(11):1-3.
[7]张卫东,李茂林,张秀梅,等.极值理论在地震危险性分析中的应用与研究[J].东北地震研究,2005,21(1):24-30.
[8]李强,谢华章.江苏及邻区地震趋势的极值理论分析[J].地震学刊,1998(1):25-36.
[2]夏成明,张恩立,李昊.台湾与长-南地震带中强地震活动的周期性与相关性研究[J].东北地震研究,2008,24(1):28-38.
[3]汤胤.时间序列相似性分析方法研究[J].计算机工程与应用,2006,42(1):68-71.
[4]李阳,李辉.基于形状相似性的快速成型扫描算法检索实例[J].计算机工程与设计,2009,30(21):4998-5002.
[5]毛红保,张凤鸣,冯卉,等.基于参数重要度的多元时间序列相似性查询[J].计算机工程,2009,35(24):54-56.
[6]刘宝生,闫莉萍,周东华.几种经典相似性度量的比较研究[J].计算机应用研究,2006,23(11):1-3.
[7]张卫东,李茂林,张秀梅,等.极值理论在地震危险性分析中的应用与研究[J].东北地震研究,2005,21(1):24-30.
[8]李强,谢华章.江苏及邻区地震趋势的极值理论分析[J].地震学刊,1998(1):25-36.
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