Evaluation of ML-MC as a Possible Depth Discriminant at Local Distances

Abstract

We find that the difference between local magnitude (ML) and coda duration magnitude (MC) is effective as a local-distance depth discriminant for a wide variety of seismic sources: naturally occurring earthquakes in Utah, the Yellowstone region, and Italy; mining induced earthquakes in Utah; hydrologically induced earthquakes in Oklahoma and Kansas; mining or weapons testing and disposal explosions in Utah; and buried, single-fired chemical explosions in Nevada, Washington, and Wyoming. The primary implication is that combining ML-MC observations with traditional high-frequency P/S amplitude ratios will likely enhance current capabilities in identifying low-yield (M<3) underground nuclear explosions. Future work should focus on (1) testing and calibrating ML-MC in regions of special monitoring interest, (2) quantifying the increase in discrimination capability that derives from combining ML-MC with high-frequency P/S ratios, and (3) modeling high-frequency wave propagation at local distances in realistic Earth models to determine the relative importance of various mechanisms that are likely involved in generating long and strong coda waves for very shallow seismic sources.

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Document Details

Document Type
Technical Report
Publication Date
Apr 05, 2021
Accession Number
AD1135783

Entities

People

  • Jonathan Voyles
  • Keith D. Koper
  • Monique M. Holt
  • Relu Burlacu

Organizations

  • University of Utah

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Air Force
  • Air Force Research Laboratories
  • Contracts
  • Data Analysis
  • Detection
  • Digital Data
  • Earth Models
  • Explosions
  • Geography
  • Geology
  • Geophysics
  • Governments
  • High Gain
  • Information Science
  • Machine Learning
  • Measurement
  • Nuclear Explosions
  • Observatories
  • Seismic Waves
  • Seismology
  • Standards
  • Surface Waves
  • United States
  • Wave Propagation

Readers

  • Seismology