Discrimination of Earthquakes, Explosions, and Mining Tremors Using the Empirical Green's Function Method,

Abstract

Using the empirical Green's function (EGF) method, we have estimated source time functions for earthquakes, industrial blasts, nuclear explosions, and mining tremors covering the magnitude range 0.9 - 6.6. The results show that, for events with magnitudes less than 2.5 or greater than 4.5, the time duration of the source time function can discriminate earthquakes from explosions. For large magnitude events source duration is longer for earthquakes than explosions, but at small magnitudes explosions have longer duration. For the remaining magnitude range (2.5 to 4.5) the earthquake, explosion and mining tremor populations overlap in the source duration vs. magnitude plane. However, the source time functions themselves display features that are indicative of event type, such as source directivity, spall phases, and multiple pulses in industrial blasts and mining tremors. Therefore, we conclude that source time functions inferred by the EGF method are potentially useful for regional event discrimination under a CTBT, and we recommend that further work be done to develop effective EGF-based discriminants for events in the magnitude range 2.5 to 4.5.

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Document Details

Document Type
Technical Report
Publication Date
Aug 14, 1995
Accession Number
ADP204413

Entities

People

  • M. N. Toksoez
  • W. Rodi
  • Yang Li

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Asia
  • California
  • Central Asia
  • Discrimination
  • Earth Models
  • Earth Sciences
  • Earthquakes
  • Explosions
  • Geography
  • Geophysics
  • Massachusetts
  • New England
  • New York
  • Nuclear Explosions
  • Planetary Sciences
  • Tremors
  • Waveforms

Readers

  • Seismology

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms