Utilization of Near-Source Video and Ground Motion in the Assessment of Seismic Source Functions from Mining Explosions. Velocity Model and Depth Model of the Grefco Perlite Mine

Abstract

Identification of seismic events detected globally at regional distances between the source and the sensor requires a clear physical understanding of the different types of seismic sources including mining explosions, rock bursts, mine collapse, as well as small, shallow earthquakes. This research studies constraint of the operative physical processes in the source region and linkage to the generation of seismic waveforms with emphasis on investigating a number of modern visualization tools that only recently have become available with new, high speed graphical computers that can entertain relatively large data sets. A significant result of this work is the visual manifestation contained in the video tape attached to this report. Mining Explosions as Seismic Sources. These results provide a basis for identifying the important physical processes at the source that contribute to regionally recorded seismograms. The experiment at the Grefcs Perlite Mine was a seismic refraction experiment to determine a consistent velocity and depth model in order to study the source effects. The purpose was to measure the changes in the shock wave and the coupling as a function of depth of burial and structural setting.

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Document Details

Document Type
Technical Report
Publication Date
Apr 24, 1995
Accession Number
ADA286839

Entities

People

  • Brian W. Stump
  • David P. Anderson
  • Meredith Ness

Organizations

  • Southern Methodist University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Aerial Photographs
  • Cameras
  • Data Sets
  • Digital Data
  • Explosions
  • Explosives
  • Geophysics
  • High Explosives
  • Images
  • Materials
  • Photographs
  • Recording Systems
  • Secondary Waves
  • Three Dimensional
  • Video
  • Wave Propagation
  • Waves

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Seismology
  • Theoretical Analysis.