Methods for Improving Seismic Event Location Processing

Abstract

Our research program consisted 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, and (4) double-difference (DD) multiple-event location 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 was followed by the application of these methods to real-time and simulated real-time data streams. Results of our project include an improved algorithm for WCC, a new method for validating WCC data using the bispectrum, real-time systems for event clustering and relocation, and a new method of seismic tomography utilizing absolute and differential arrival time data.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 22, 2004
Accession Number
ADA430748

Entities

People

  • Clifford H. Thurber

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Cross Correlation
  • Data Science
  • Data Sets
  • Databases
  • Detection
  • Frequency Bands
  • Fungi
  • Geometry
  • Grids
  • High Resolution
  • Information Processing
  • Information Science
  • Statistical Algorithms
  • Three Dimensional
  • Waves

Readers

  • Computational Modeling and Simulation
  • Robotics and Automation.
  • Seismology