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principles and applications of microearthquake networks

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8.1. Srismic.itJ Ptrtterns 207<br />

<strong>of</strong> the main shock, <strong>and</strong> their epicenters were concentrated spatially.<br />

Wyss et al. (1978) examined the seismicity before four large earthquakes<br />

(Kamchatka, USSR; Friuli, Italy: Assam, India; <strong>and</strong> Kalapana,<br />

Hawaii). On the basis <strong>of</strong> this, as well as results reported by other investigators,<br />

they concluded that systematic patterns observed in foreshock<br />

seismicity were similar for earthquakes throughout the world. They also<br />

suggested that some "precursory cluster events" appeared to have radiation<br />

properties different from the background earthquakes (see Section<br />

8.3.3).<br />

Utsu ( 1978) attempted to discriminate foreshock sequences from<br />

swarms on the basis <strong>of</strong> magnitude statistics as follows. Let M1. M2, <strong>and</strong><br />

M3 be the magnitudes <strong>of</strong> the largest, second largest, <strong>and</strong> third largest<br />

events in a foreshock sequence or a swarm. He selected 245 shallow<br />

swarms or foreshock sequences in Japan using the following criteria: (1)<br />

MI - M2 5 0.6, <strong>and</strong> M, 2 5.Ofor the period 1926-1964; <strong>and</strong> (2) M, - M2 5<br />

0.6, <strong>and</strong> M, 2 4.5 for the period 1965-1977. From this data set, Utsu was<br />

able to identify 77% <strong>of</strong> the foreshock sequences (10 out <strong>of</strong> 13) if he stipulated<br />

the following conditions: (I) 0.4 5 M, - M2 5 0.6; (2) M, - M3 2<br />

0.7: <strong>and</strong> (3) M2 precedes M3 in time. He would have mistaken 7% <strong>of</strong> the<br />

swarms (17 out <strong>of</strong> 232) as foreshock sequences.<br />

Jones <strong>and</strong> Molnar ( 1979) summarized the characteristics <strong>of</strong> foreshocks<br />

associated with major earthquakes throughout the world. Their primary<br />

data sources were issues <strong>of</strong> the International Seismological Summary <strong>and</strong><br />

bulletins <strong>of</strong> the lnternational Seismological Center. They observed that<br />

foreshock seismicity was <strong>of</strong>ten characterized by a pattern <strong>of</strong> increases <strong>and</strong><br />

decreases, accompanied by changes in its geographic location relative to<br />

the forthcoming main shock epicenter <strong>and</strong> aftershock zone. The number<br />

<strong>of</strong> foreshocks per day appeared to increase as the time to the main shock<br />

approached. This relationship seemed to be independent <strong>of</strong> the main<br />

shock magnitude. The magnitude <strong>of</strong> the largest foreshock did not appear<br />

to be related to the magnitude <strong>of</strong> the main shock. Extension <strong>of</strong> the work<br />

by Jones <strong>and</strong> Molnar to lower magnitude earthquakes should be possible<br />

as more earthquake catalogs are produced from <strong>microearthquake</strong> <strong>networks</strong>.<br />

Kodama <strong>and</strong> Bufe (1979) studied foreshock occurrence for 29 earthquakes<br />

<strong>of</strong> magnitude 3.5 or greater located along the San Andreas fault<br />

in central California. Only 10 <strong>of</strong> the 29 earthquakes appeared to have<br />

foreshocks. The foreshock pattern <strong>of</strong>ten was one <strong>of</strong> an increase <strong>of</strong> activity,<br />

a period <strong>of</strong> quiescence, <strong>and</strong> then more foreshocks within 24 hr <strong>of</strong> the<br />

main shock. The time interval between the start <strong>of</strong> the seismicity increase<br />

<strong>and</strong> the occurrence <strong>of</strong> the main shock was found to be weakly dependent<br />

on the main shock magnitude.

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