An Automated Rayleigh Wave Detection Algorithm,

Abstract

The desire to operate denser networks in order to monitor seismic activity at lower thresholds leads to greater emphasis on automated data processing. An algorithm for detecting and characterizing long-period Rayleigh wave arrivals has been developed and tested. The routine continuously monitors all directions of approach to a station, in a manner similar to beamforming. The detector is based on cro ss-powers between the Hilbert-transformed vertical and rotated horizontal signals, so it is sensitive to both the power and polarization properties of the three-component wavefield. Elliptically polarized Rayleigh arrivals are enhanced, while linearly polarized Love waves and body phases are suppressed. A test using one month of data from station ANMO demonstrated that this technique can with high reliability detect Rayleigh arrivals which would be visible to an analyst. The measured arrival times and azimuths are accurate enough to permit automated association of the detections to events in a bulletin.

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Document Details

Document Type
Technical Report
Publication Date
Aug 14, 1995
Accession Number
ADP204504

Entities

People

  • Eric P. Chael

Organizations

  • Sandia National Laboratories

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Amplitude
  • Covariance
  • Data Analysis
  • Data Centers
  • Data Processing
  • Detection
  • Detectors
  • Elliptical Polarization
  • High Reliability
  • Love Waves
  • Polarization
  • Rayleigh Waves
  • Signal Processing
  • Surface Waves
  • Waveforms
  • Waves

Readers

  • Computer Vision.
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Seismology