Methods of Automating Routine Analysis Tasks in Preparing a Global Seismic Bulletin

Abstract

Although it permits more rapid seismic data processing than before being implemented, the Network Event Processing (NEP) system at the Seismic Data Analysis Center could still perform more routine analysis tasks automatically. This report discusses these tasks, including: identification of false alarms in detection lists, timing of P and LR/LQ arrivals, associating seismic arrivals to events, depth-of-focus estimation, and measurement of magnitude. Approaches to automating these tasks are presented, tested, and evaluated. Most of the methods are projected to take less time if done automatically than if by human analysts. In particular, the spectral estimation of m sub b or m sub s is found to be fast and reliable, correlating well with classical analysis estimates.

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Document Details

Document Type
Technical Report
Publication Date
Dec 13, 1977
Accession Number
ADA084190

Entities

People

  • D. H. Von Seggern

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Contracts
  • Data Analysis
  • Databases
  • Detection
  • Detectors
  • Digital Data
  • False Alarms
  • Frequency Bands
  • Grids
  • Measurement
  • New York
  • Operating Systems
  • Seismic Arrays
  • Seismic Detection
  • Signal Processing
  • Surface Waves
  • Warning Systems

Readers

  • Acoustical Oceanography.
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Neural Network Machine Learning.