Modeling of Network Identification Capability.
Abstract
The objective of this project was to develop a computer program for modeling the seismic event identification capability of an existing global network of seismograph stations. In addition the program is to provide for evaluation of the impact on the overall network identification capability resulting from modifications to the network in the form of additions, deletions or geographic relocations of stations. The computer program that resulted from this project is referred to as NICE (Network Identification Capability Evaluation). The NICE program consists of four major elements which are executed in series. The overall approach is a Monte Carlo simulation in which events are generated from random series, recorded in a network as synthetic seismograms and then analyzed for discrimination scores. The first element is the module which generates a series of events whose statistical properties match those of observed events. The second module computes amplitudes and travel time for these events using synthetic seismograms. These data are analyzed in the third module and given discrimination scores. The output of this module is a bulletin which resembles a discrimination bulletin. Finally, the performance of the discriminants as applied to the synthetic bulletin can be examined using plots and lists displayed by the fourth module.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 1986
- Accession Number
- ADA178969
Entities
People
- J. M. Savino
- T. G. Barker
- W. L. Rodi