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Time-series analysis of earthquake sequences by means of information recognizer

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Three seismic sequences of several thousand earthquakes each are analyzed by means of a tunable information recognizer known as wlzip. These sequences are different both in the geographical coverage and the time span, including earthquakes of magnitude larger than 8.0. The main variable under scrutiny here is the time interval between consecutive events. Two parameters (mutability and interval dilation) are defined for each sequence, which relate to the information contained in it. In this way it is possible to characterize different regimes in the seismic activity. For instance, mutability increases before large earthquakes and decreases sharply immediately after each of these events. On the other hand, interval dilation reaches a clear maximum several months before major earthquakes, while it decreases to its lowest possible value after such earthquakes during the aftershock regime. Extensions of the application of this new method to other problems in seismicity are mentioned.

Original languageEnglish
Pages (from-to)723-728
Number of pages6
JournalTectonophysics
Volume712-713
DOIs
StatePublished - 21 Aug 2017
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Earthquakes
  • Information theory
  • Time series analysis

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