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 journalArticlepeer-review

1 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 languageEnglish
Pages (from-to)4089-4096
Number of pages8
JournalPure and Applied Geophysics
Volume177
Issue number9
DOIs
StatePublished - 1 Sep 2020

Keywords

  • Italy
  • Pattern informatics
  • seismicity
  • soup-of-groups model

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