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

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	4089-4096
Number of pages	8
Journal	Pure and Applied Geophysics
Volume	177
Issue number	9
DOIs	https://doi.org/10.1007/s00024-020-02509-w
State	Published - 1 Sep 2020

Keywords

Italy
Pattern informatics
seismicity
soup-of-groups model

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AU - Li, Hsien Chi

AU - Cheong, S. A.

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AB - 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.

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

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Keywords

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