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principles and applications of microearthquake networks

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60 3. Datu Processirig Procedures<br />

fI, is taken to be the onset time <strong>of</strong> an event for this input signal. If qk<br />

exceeds its threshold level within 1 sec after time fk, then the event is<br />

confirmed to be an earthquake. Otherwise, the onset time fk is discarded,<br />

<strong>and</strong> no earthquake is confirmed for this input signal. So far, the detection<br />

<strong>and</strong> confirmation tests are performed on individual input signals, <strong>and</strong> it is<br />

common for nonseismic events to be confirmed as earthquakes. To minimize<br />

this difficulty, Stewart et ctl. (1971) utilized simple properties <strong>of</strong> the<br />

arrival time pattern in a <strong>microearthquake</strong> network. In other words, the<br />

event must be confirmed on some minimum number <strong>of</strong> seismic stations<br />

within some small interval <strong>of</strong> time. This time interval must be consistent<br />

with the station spacing <strong>and</strong> the velocity <strong>of</strong> seismic waves in the earth’s<br />

crust. The system measured onset times <strong>and</strong> maximum amplitudes for up<br />

to 32 incoming seismic signals, but hypocentral locations <strong>and</strong> magnitudes<br />

were not computed.<br />

Massinon <strong>and</strong> Plantet (1976) summarized an on-line earthquake detection<br />

<strong>and</strong> location system for a telemetered seismic network in France.<br />

Their method <strong>of</strong> event detection is similar to that described in Section<br />

3.3.3. The signals from each <strong>of</strong> 20 short-period seismic stations were<br />

transmitted to a central site where they were monitored by event detectors<br />

as well as recorded directly for subsequent <strong>of</strong>f-line processing. If<br />

more than five stations reported a detection, then the detection times were<br />

taken as the first arrival times <strong>and</strong> an epicenter was calculated automatically.<br />

Massinon <strong>and</strong> Plantet (1976) were interested primarily in regional or<br />

teleseismic earthquakes.<br />

Kuroiso <strong>and</strong> Watanabe (1977) used the short-term average [Eq. (3.1)] to<br />

detect local earthquakes in an 1 1-station telemetered network in Japan.<br />

They computed the short-term average by first b<strong>and</strong>pass filtering <strong>and</strong><br />

rectifying the incoming seismic signal. The detected event was written to a<br />

disk. If subsequent analysis <strong>of</strong> the data on the disk confirmed that the<br />

event was a local earthquake, then its onset time <strong>and</strong> other parameters<br />

were determined automatically. The hypocenter <strong>and</strong> magnitude were then<br />

computed.<br />

3.4. Event Processing<br />

Event processing is the procedure for measurin som basi paramet t-s<br />

from the recorded seismic traces that describe the earthquake ground<br />

motion. These parameters are generally known as phase data <strong>and</strong> include:<br />

(1) the onset time <strong>and</strong> the direction <strong>of</strong> motion <strong>of</strong> the first P-arrival; (2) the<br />

onset time <strong>of</strong> later arrivals, such as the S-arrival (if possible); (3) the<br />

maximum trace amplitude <strong>and</strong> its associated period; <strong>and</strong> (4) the signal

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