Published December 1968 | Version Published
Journal Article Open

Large scale processing of seismic data in search of regional and global stress patterns

Abstract

A composite compute program has been devised for a fast reduction of multistation seismic data in the period range 50–500 sec for mantle surface waves and 20–100 sec for body waves. The analysis aims at the reconstruction of the seismic source from the spectrum of its far radiation field and the correlation of its parameters with its depth, size and regional environment. The capability of the computational procedure has been demonstrated in two studies of WWNSS records: one includes a spectral analysis of surface waves from a shallow shock in the Kurile Islands; the other includes a spectral analysis of P waves from 9 shocks in the depth range 550–700 km at Fiji, Mariana, Java, Japan, Peru and Brazil. Other applications of the proposed data processing routine are foreseen; a tsunami warning system and focal depth determination from spectral modal ratios. It is believed that a persistent search for stress patterns, based on the processing of a sufficiently large sample of seismic events, is essential to any future program of earthquake prediction.

Additional Information

Copyright © 1969, by the Seismological Society of America. Manuscript received March 7, 1968. This research has been sponsored by the Air Force Cambridge Research Laboratories under Contract AF61(052)-954 through the European Office of Aerospace Research, USAF, as part of the Advanced Research Projects Agency's Project VELA-UNIFORM. We wish to thank professor David G. Harkrider of Brown University, Rhode Island, for communicating to us his results in advance of publication. Dr. Michael Shimshoni of the Weizmann Institute helped us with the programming of the body-wave travel times.

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Identifiers

Eprint ID
48313
Resolver ID
CaltechAUTHORS:20140811-131055746

Funding

Air Force Office of Scientific Research (AFOSR)
AF61(052)-954
Advanced Research Projects Agency (ARPA), project Vela

Dates

Created
2014-08-11
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Updated
2019-10-03
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