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principles and applications of microearthquake networks

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1.2. Oljen*ieit* crrtd Scope 9<br />

Caltech Seismological Laboratory (e.g., Brune <strong>and</strong> Allen, 1967). A detailed<br />

study <strong>of</strong> the aftershocks <strong>of</strong> the 1966 Parkfield earthquake by Eaton<br />

et a/. (1970b) demonstrated that <strong>microearthquake</strong>s were useful in delineating<br />

the slip surface <strong>of</strong> the Parkfield earthquake in three dimensions. This<br />

experience led Eaton <strong>and</strong> his colleagues <strong>of</strong> the U.S. Geological Survey<br />

(USGS) to develop the Central California Microearthquake Network on a<br />

large scale (Eaton et al., 1970a). Beginning with three local clusters <strong>of</strong><br />

stations in 1967, this network has grown to include 250 stations covering<br />

central California in 1980.<br />

Figures I <strong>and</strong> 2 illustrate one <strong>of</strong> the capabilities <strong>of</strong> a dense <strong>microearthquake</strong><br />

network (such as the USGS Central California Microearthquake<br />

Network). Figure la shows numerous faults mapped in the network region.<br />

Figure Ib shows earthquake epicenters determined by a good regional<br />

network operated by the Seismographic Stations <strong>of</strong> the University<br />

<strong>of</strong> California at Berkeley for a nine-year period. With a dense network <strong>of</strong><br />

stations, as shown in Fig. 2a, the spatial distribution <strong>of</strong> earthquake epicenters<br />

delineates their relationship to active faults in only one year's observation,<br />

as shown in Fig. 2b.<br />

In addition to several <strong>microearthquake</strong> <strong>networks</strong> developed <strong>and</strong> operated<br />

by the U.S. Geological Survey, others have been implemented by<br />

various universities, for example, University <strong>of</strong> Washington (Crosson,<br />

1972), St. Louis University (Stauder et ctl., 1976), <strong>and</strong> the Lamont-<br />

Doherty Geological Observatory <strong>of</strong> Columbia University (Sykes, 1977).<br />

In the 1970s, various agencies <strong>of</strong> the United States government became<br />

concerned about earthquake hazards <strong>and</strong> supported the development <strong>and</strong><br />

operation <strong>of</strong> many <strong>microearthquake</strong> <strong>networks</strong>. Today, about 50 permanent<br />

<strong>networks</strong> are operating in the United States (see Section 7. I).<br />

Aggarwal et ul. (1973) were the first to establish a network <strong>of</strong> portable<br />

seismographs in the United States specifically to search for precursory<br />

velocity anomalies similar to those reported from the Garm region, USSR.<br />

They studied a swarm <strong>of</strong> <strong>microearthquake</strong>s in the Blue Mountain Lake<br />

area <strong>of</strong> New York State. Detailed analysis <strong>of</strong> V,/V, ratios showed the<br />

same type <strong>of</strong> behavior as in the Garm region, <strong>and</strong> changes preceding<br />

earthquakes as small as magnitude 2.5 <strong>and</strong> 3.3 were observed (Aggarwal<br />

er al.. 1973, 1975). Using stations from the Southern California Seismic<br />

Network, Whitcomb et cil. ( 1973) reported similar precursory behavior<br />

preceding the destructive San Fern<strong>and</strong>o earthquake <strong>of</strong> February 9, 1971.<br />

1.2. Overview <strong>and</strong> Scope<br />

This work reviews some <strong>principles</strong> <strong>and</strong> <strong>applications</strong> <strong>of</strong> <strong>microearthquake</strong><br />

<strong>networks</strong>. In summarizing the present status, we emphasize methods <strong>and</strong>

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