Identification Performance of the IMS in the Middle East and North Africa.

Abstract

We have simulated the detection and identification performance of the proposed seismic network of the International Monitoring System (IMS) in the Middle East/North Africa. Figure 1 shows a map of Africa and western Eurasia with the proposed IMS alpha stations and the area for which the simulations were done. The identification performance of a network is strongly dependent upon regional source and propagation variability. However, knowledge of those variations permits estimation of their impact on the effectiveness of discriminants throughout the region. A comprehensive compilation of source and propagation properties was made and used to simulate network identification performance using the Monte Carlo program Xnice. The simulations described here include a greater area (northwestern Africa) and use a far more extensive set of source and propagation parameters than our previous work (Barker, 1996). We find that the predicted performance of the Lg/P ratio and Lg slope discriminants ranges from extremely poor to extremely well within the study area, a result of the distribution of source propagation characteristics and station coverage. In another set of simulations, we have investigated the relationship between confidence ellipses estimated by the event location procedure and the distribution of locations found by the procedure. We find that the confidence ellipses are underestimates of the location variance.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA353926

Entities

People

  • G. E. Baker
  • Keith L. Mclaughlin
  • Terrance G. Barker

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Africa
  • Air Force
  • Air Force Research Laboratories
  • Arabian Sea
  • Caspian Sea
  • Databases
  • Earth Sciences
  • Geography
  • Group Velocity
  • Identification
  • Middle East
  • North Africa
  • Oceanography
  • Oceans
  • Red Sea
  • Simulations
  • Topography

Readers

  • Computational Modeling and Simulation
  • Regression Analysis.
  • Seismology