Pattern Informatics and the Soup-of-Groups Model of Earthquakes: A Case Study of Italian Seismicity

Ling Yun Chang; Chien Chih Chen; Luciano Telesca; Hsien Chi Li; S. A. Cheong

doi:10.1007/s00024-020-02509-w

Pattern Informatics and the Soup-of-Groups Model of Earthquakes: A Case Study of Italian Seismicity

Ling Yun Chang, Chien Chih Chen, Luciano Telesca, Hsien Chi Li, S. A. Cheong

研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

5 引文斯高帕斯（Scopus）

摘要

An improved pattern informatics (PI) method, inspired by the soup-of-groups model, is developed in this study. This improved method reveals its potential in reducing the noise that, when the classical PI is applied, can yield misleading conclusions about the existence of “hotspots” in the vicinity of the epicenter of a strong earthquake. The application of this new method to Italian seismicity from 1985 to 2018 properly reveals “hotspots” around the two strongest earthquakes that occurred in 2009 (L’Aquila earthquake) and 2016 (Norcia earthquake), suggesting its utility in studies devoted to earthquake prediction.

原文	???core.languages.en_GB???
頁（從 - 到）	4089-4096
頁數	8
期刊	Pure and Applied Geophysics
卷	177
發行號	9
DOIs	https://doi.org/10.1007/s00024-020-02509-w
出版狀態	已出版 - 1 9月 2020

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10.1007/s00024-020-02509-w

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Pattern Informatics and the Soup-of-Groups Model of Earthquakes: A Case Study of Italian Seismicity

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