Improving Location/Detection Methods for Monitoring Research Using Large-Scale Correction Surfaces, Cross-Correlation Techniques and Genetic Algorithms

Abstract

The availability of seismic bulletin sources presents a problem when preparing data sets for studies. With so many choices, which catalog should be used? We have developed a method of merging data from all available seismic bulletins into a single database of non-redundant phases for each event. With this new database, additional ground truth (GT) events are readily identified due to the merging of all possible arrivals for each event. The compilation of over 8500 GT25 or better events in Asia allows the generation of large-scale travel time correction surfaces. We have created Pg, Pn, P, Sg/Lg, Sn, and S surfaces for the 1382 current and historic stations that detected a GT event. The availability of correction surfaces for any and all stations in a large region permit relocations that result in greater accuracy and increased event clustering for entire seismic catalogs.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2007
Accession Number
ADA520268

Entities

People

  • Charlotte A. Rowe
  • Lee K. Steck
  • Michael L. Begnaud
  • Woohan Kim

Organizations

  • United States Department of Energy

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Air Force Research Laboratories
  • Algorithms
  • Correlation Techniques
  • Cross Correlation
  • Data Sets
  • Databases
  • Detectors
  • Earthquakes
  • Explosions
  • Genetic Algorithms
  • Ground Based
  • Information Science
  • New Mexico
  • Nuclear Explosions
  • Travel Time

Readers

  • Neural Network Machine Learning.
  • Seismology
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Biotechnology