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Leveraging spurious Omori-Utsu relation in the nearest-neighbor declustering method.

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Identifying earthquake aftershocks is crucial for seismic hazard assessment. This study reveals that standard methods can produce misleading results, but a robust technique helps confirm the presence of aftershocks, even in complex natural earthquake swarms.

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Area of Science:

  • Earthquake science
  • Seismology
  • Geophysics

Background:

  • Earthquake-induced stress changes commonly trigger aftershocks.
  • Aftershock identification is vital for seismic hazard assessment.
  • Challenges arise from fluid migration and injections causing variable earthquake patterns.

Purpose of the Study:

  • To analyze the impact of declustering methods on earthquake catalog analysis.
  • To develop a robust method for identifying aftershocks in complex seismic catalogs.
  • To investigate earthquake triggering and productivity relations.

Main Methods:

  • Analytical modeling of earthquake triggering.
  • Numerical simulations of seismic activity.
  • Application of a nearest-neighbor declustering method.
  • Analysis of Omori-Utsu and productivity relations.

Main Results:

  • Earthquake catalogs lacking triggering information can yield spurious Omori-Utsu and productivity relations.
  • The Omori-Utsu exponent's robustness to new parameters aids in aftershock detection.
  • A natural swarm catalog was found to be dominated by aftershocks.

Conclusions:

  • Standard declustering methods may require refinement for accurate seismic hazard assessment.
  • A robust method can reliably identify aftershocks, even in complex scenarios.
  • Natural earthquake swarms can be largely composed of triggered events.