COMPUTER STUDIES OF MICROSEISM STATISTICS WITH APPLICATIONS TO PREDICTION AND DETECTION,

Abstract

Computational experiments have been performed on seismic data digitized from the records obtained by the Air Force during the Logan and Blanca underground nuclear shots, by Dr. Bruce Bogert in New Jersey and by the Wichita Mountain Seismic Observatory. The experiments indicate that microseismic noise of about .3 cps frequency is associated with the oceans but the higher fre quencies are not. Attempts to identify definite wave types, such as Rayleigh and Love waves, and to follow wave packets from station to station failed, but the failure illustrated the com plexity of the microseisms and points out the necessity of a statistical study. For the sta tistical studies the microseisms were considered to be stochastic time series. It was found that the probability densities of the amplitudes were Gaussian and were not independent. Spectral analysis showed the typical microseism spectrum to have a maximum at about .3 cps and often other strong bands at 1.4 and 2 cps. (Author)

Document Details

Document Type
Technical Report
Publication Date
May 01, 1963
Accession Number
AD0409031

Entities

People

  • James Nelson Galbraith Jr.
  • S. M. Simpson Jr

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Air Force
  • Data Science
  • Frequency
  • Frequency Shift
  • Information Science
  • Love Waves
  • Microseisms
  • New Jersey
  • Statistics
  • Wave Packets
  • Waves

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Seismology
  • Snow Cover Descriptors for Reptiles and Their Illustrations.