Discover Risky Active Faults by Indexing an Earthquake Sequence
Discover Risky Active Faults by Indexing an Earthquake Sequence
复制标题
通过对地震序列进行索引来发现危险的活动断层
DOI：
10.1007/3-540-46846-3_19
复制
发表时间：
1999
期刊：
影响因子：
--
通讯作者：
M. Yachida
中科院分区：
文献类型：
--
作者：
Y. Ohsawa;M. Yachida
人们一直希望有一种方法，可以从观测到的过去地震数据中找到近期地震风险最高的地区。本文提出的致命断层图（F3）是将KeyGraph作为一种文献索引算法，应用于地震震源断层序列而不是文献，从而发现危险的活动断层。F3的这种策略得到了文档和地震序列之间的类比的支持：文档中单词的出现和地震序列中地震的出现具有共同的因果结构，而KeyGraph先前索引的文档利用了文档中的因果结构。作为一种效果，通过KeyGraph从地震序列中获得风险断层，其方式与从文档中获得关键字类似。由F3经验获得的危险断层与真实的地震发生和地震学家的危险性估计有很好的对应关系。
A Method for finding areas with the highest risks of near-future earthquakes, from data of observed past earthquakes, have been desired. The presentedFatal Fault Finder(F3) finds risky active faults by applyingKeyGraph, which was presented as a document indexing algorithm, to a sequence of focal faults of earthquakes in stead of a document. This strategy ofF3is supported by analogies between a document and an earthquake sequence: The occurrences of words in a document and of earthquakes in a sequence have common causal structures, andKeyGraphpreviously indexed documents taking advantage of the causal structure in a document. As an effect, risky faults are obtained from an earthquake sequence, in a similar manner as keywords are obtained from a document, byKeyGraph. The empirically obtained risky faults byF3corresponded finely with real earthquake occurrences and seismologists’ risk estimations.