Discover Risky Active Faults by Indexing an Earthquake Sequence

  • Authors:
  • Yukio Ohsawa;Masahiko Yachida

  • Affiliations:
  • -;-

  • Venue:
  • DS '99 Proceedings of the Second International Conference on Discovery Science
  • Year:
  • 1999

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Abstract

A Method for finding areas with the highest risks of near-future earthquakes, from data of observed past earthquakes, have been desired. The presented Fatal Fault Finder (F3) finds risky active faults by applying KeyGraph, which was presented as a document indexing algorithm, to a sequence of focal faults of earthquakes in stead of a document. This strategy of F3 is 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, and KeyGraph previously 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, by KeyGraph. The empirically obtained risky faults by F3 corresponded finely with real earthquake occurrences and seismologists' risk estimations.