scispace - formally typeset
Open AccessJournal ArticleDOI

Seismic event discrimination

Reads0
Chats0
TLDR
In this article, a priori travel-time residual covariance matrix is modified to account for the fact that travel time residuals are correlated at stations near to each other, simultaneous determination of location and phase velocity when using regional phases, and direct use of phases other than P, e.g., Pg, Lg, S, pP, and PKPBC.
Abstract
Discrimination of small events begins with detection, association, and location. Recent advances in detection include use of updated measures of the noise variance to control the false alarm rate; and updating the noise amplitude spectrum, N , for application of the optimum detection filter S / N ** 2 where S is the signal spectrum. Postdetection processes of interest include determination of signal azimuth and emergence angle from linear three-component processing. Association programs have recently been improved by implementation of techniques taking advantage of information provided by arrays. Location advances include modification of the a priori travel-time residual covariance matrix to account for the fact that travel-time residuals are correlated at stations near to each other, simultaneous determination of location and phase velocity when using regional phases, and direct use of phases other than P , e.g., Pg , Lg , S , pP , and PKPBC . According to most source theories, small earthquakes and explosions have the same, flat, displacement spectrum for P waves at teleseismic frequencies. Aside from location, discrimination therefore rests on focal mechanism differences and generation of shear waves by earthquakes. The M s : m b discriminant rests on the shear wave generation; but there is overlap of explosions and earthquakes at low magnitudes for dip-slip earthquakes. Low frequency (0.3 Hz) P waves are weak from explosions due to the surface pP reflections; P / pP amplitude ratios for earthquakes vary over the focal sphere in a way impossible for a pair of explosions. Regional discrimination shows promise in the ratio of maximum amplitudes before and after Sn , and in the observed fact that shear phases from explosions detonated near high impedance contrasts are of lower frequency than those from earthquakes in the same region, possibly due to the generation of the explosion shear phases by P to S scattering. Recent experimental analyses show that there is almost no decoupling at high frequencies, in agreement with earlier theories. These frequencies may be observable at regional distances.

read more

Citations
More filters
Journal ArticleDOI

Pattern recognition for earthquake detection

TL;DR: Bandpass- or ARMA-filtering is used to improve the signal to noise ratio in automatic detection of earthquakes in environmental noise, since they are not able to distinguish between small earthquakes and noise from traffic or industry, which has the same or even higher amplitude.
Book ChapterDOI

Pattern Recognition for Earthquake Detection

TL;DR: In this article, the authors proposed a decision logic of negative kind: every signal above the threshold is assumed to be caused by an earthquake, which is due to their decision logic.
Journal ArticleDOI

Seismic event detection and source location using single-station (three-component) data

TL;DR: In this paper, the authors proposed a beam steering-based detection and source location scheme for single-station seismic data to analyze seismic events, which combines the signals on the horizontal components in a manner analogous to beam steering.
Journal ArticleDOI

An evaluation of seismic decoupling and underground nuclear test monitoring using high‐frequency seismic data

TL;DR: In this paper, an effective solution to the detection and identification of low-yield coupled and fully decoupled underground nuclear explosions appears available via use of high-frequency seismic data ranging up to 30 or 40 Hz.
Journal ArticleDOI

Global seismic event detection using a matched filter on long‐period seismograms

TL;DR: In this paper, an image derived by stacking long-period seismograms is used as an empirical matched filter to detect and locate earthquakes, which are mainly located on oceanic transform faults and probably represent unusually slow ruptures.
References
More filters
Journal ArticleDOI

Automatic earthquake recognition and timing from single traces

TL;DR: In this article, a computer program was developed for the automatic detection and timing of earthquakes on a single seismic trace, which operates on line and is sufficiently simple that it is expected to work in inexpensive low-power microprocessors in field applications.
Journal ArticleDOI

Teleseismic location techniques and their application to earthquake clusters in the South-Central Pacific

TL;DR: In this article, Bayesian statistical methods are used to incorporate a priori information about arrival-time variance into the derivation of hypocenter confidence ellipsoids, permitting a more realistic calculation of critical parameters in the case where the number of stations is small.
Journal ArticleDOI

Joint Epicentre Determination

A. Douglas
- 01 Jul 1967 - 
TL;DR: In this paper, a method of determining station travel time corrections and the positions and origin times of more than one earthquake simultaneously is described, which can reveal any regional bias in travel times.
Journal ArticleDOI

Crustal structure modeling of earthquake data: 1. Simultaneous least squares estimation of hypocenter and velocity parameters

TL;DR: In this article, the arrival times from an ensemble of discrete earthquakes independently contain information on hypocenter locations and jointly provide information on the velocity model, and a properly formulated least squares estimation procedure can be used to determine simultaneously both hypocenter and velocity model parameters.
Journal ArticleDOI

The mixed discrete‐continuous inverse problem: Application to the simultaneous determination of earthquake hypocenters and velocity structure

TL;DR: In this article, it was shown that when the number of data d is greater than the size of parameters p, it is always possible to construct a set of least d - p equations that are independent of the values of the discrete part of the model.
Related Papers (5)