15.11.2014 Views

principles and applications of microearthquake networks

principles and applications of microearthquake networks

principles and applications of microearthquake networks

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

8.1. Seistnicit~ Pritterns 199<br />

made for their potential usefulness, but their success in predicting earthquakes<br />

has been rather limited. Because <strong>of</strong> the extensive literature on<br />

this subject <strong>and</strong> the impetus these early studies gave to the search for<br />

other predictors, we have devoted a section to it. Temporal variations <strong>of</strong><br />

many other seismic parameters, such as b-slopes <strong>and</strong> focal mechanisms,<br />

have also been investigated <strong>and</strong> will be summarized in a later section.<br />

In this chapter, we discuss earthquake prediction based largely on data<br />

from <strong>microearthquake</strong> <strong>networks</strong>, although many seismic precursors were<br />

identified by using data from regional or global <strong>networks</strong>. In either case,<br />

most precursors were not discovered until after the earthquakes had occurred.<br />

One exception is the case for the recent Oaxaca, Mexico, earthquake.<br />

An announcement <strong>of</strong> a forthcoming major earthquake near Oaxaca<br />

was published in the scientific literature before its occurrence. By<br />

studying seismicity patterns <strong>of</strong> shallow earthquakes located from teleseismic<br />

data, Ohtake et id. (1977) identified a seismic gap along the west<br />

coast <strong>of</strong> southern Mexico. This allowed them to estimate the magnitude<br />

<strong>and</strong> the location <strong>of</strong> an earthquake that would occur in the gap. Because<br />

they had no reliable basis for predicting the time <strong>of</strong> occurrence, they urged<br />

that a program including monitoring <strong>microearthquake</strong> activity be carried<br />

out in the Oaxaca region. On the other h<strong>and</strong>, Garza <strong>and</strong> Lomnitz (1978)<br />

argued on the basis <strong>of</strong> statistical methods applied to the seismicity data,<br />

that the evidence for a seismic gap near Oaxaca was inconclusive. However,<br />

Garza <strong>and</strong> Lomnitz had no doubt that a large earthquake would<br />

occur near Oaxaca sooner or later.<br />

Following the suggestion by Ohtake et (11. (1977), a portable <strong>microearthquake</strong><br />

array was deployed in the Oaxaca region in early November,<br />

1978 by K. C. McNally <strong>and</strong> colleagues. A major earthquake (M, = 7.8)<br />

occurred within the array on November 29, 1978, as anticipated (Singh et<br />

nl., 1980). According to McNally , the <strong>microearthquake</strong> array provided<br />

unique data for studying the foreshock-main-shock-aftershock sequence.<br />

Readers may refer to articles in Geojisica Internacional 17, numbers 2 <strong>and</strong><br />

3, 1978, for details.<br />

8.1. Seismicity Patterns<br />

At least three problems are involved in the st dy <strong>of</strong> seismicit I patterns<br />

for earthquake prediction. First, can past occurrences <strong>of</strong> earthquakes be<br />

used to predict a large earthquake? Second, can the search for spatial <strong>and</strong><br />

temporal patterns <strong>of</strong> seismicity be more systematic <strong>and</strong> more objective?<br />

Can pattern recognition techniques developed in other scientific disciplines<br />

be adapted to earthquake prediction research? Are the space-time

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!