Methods for Improving Seismic Event Location Processing

Abstract

Our research program consists of four components, each involving some aspect of multiple-event analysis: (1) high-precision waveform cross-correlation (WCC) for arrival time estimation, (2) robust event clustering, (3) waveform decomposition and source wavelet deconvolution reshaping, (4) double-difference (DD) multiple-event locations and tomography. Our research focused initially on the development and testing of these seismic analysis methods using 'ground-truth' (GT) datasets at different scales (local and regional), and is being followed by the application of these methods to a 'test bed' regional-distance seismic dataset, including tests on real-time and simulated real-time data streams. Here we highlight some of the more significant project achievements from components 1, 2 and 4.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2001
Accession Number
ADA418047

Entities

People

  • Clifford H. Thurber
  • Haijiang Zhang
  • Wen-xuan Du
  • William J. Lutter

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Air Force Research Laboratories
  • Algorithms
  • Clustering
  • Computer Programs
  • Cross Correlation
  • Data Science
  • Data Sets
  • Geophysics
  • Grids
  • Information Science
  • Test Beds
  • Three Dimensional
  • Tomography
  • Travel Time
  • Waveforms
  • Waves

Readers

  • Neural Network Machine Learning.
  • Robotics and Automation.
  • Seismology