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principles and applications of microearthquake networks

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54 3. Ihta Processing Procedures<br />

Seismic signals are generally classified into three types depending on<br />

the distance from the source to the station. Earthquakes occurring more<br />

than 2000 km from a seismic network usually are called teleseismic events.<br />

An example <strong>of</strong> a teleseismic event as recorded by a <strong>microearthquake</strong><br />

network station is shown in Fig. 15e. Depending on the size <strong>of</strong> the event,<br />

teleseismic amplitudes can range from barely perceptible to those that<br />

saturate the instrument. Their predominant periods are typically a few<br />

seconds. Earthquakes occurring, say, a few hundred kilometers to 2000<br />

km outside the network are called regional events. An example <strong>of</strong> a regional<br />

earthquake as recorded by a <strong>microearthquake</strong> network station is<br />

shown in Fig. 15f. As with the teleseismic event, amplitudes <strong>of</strong> regional<br />

earthquakes can range from barely perceptible to large, but their predominant<br />

periods are less than those <strong>of</strong> the teleseismic events. Earthquakes<br />

occurring within a few hundred kilometers <strong>of</strong> a seismic network are called<br />

local events. Local earthquakes <strong>of</strong>ten are characterized by impulsive onsets<br />

<strong>and</strong> high-frequency waves as shown in Fig. 15g <strong>and</strong> h. The envelope<br />

<strong>of</strong> local earthquake signals typically has an exponentially decreasing tail<br />

as also shown by the dashed line in Fig. 15g. Another characteristic <strong>of</strong> all<br />

(teleseismic, regional, or local) earthquake signals is that the predominant<br />

period generally increases with time from the onset <strong>of</strong> the first arrival. On<br />

the other h<strong>and</strong>, a given transient signal <strong>of</strong> instrumental or cultural origin<br />

<strong>of</strong>ten has the same predominant period throughout its duration.<br />

In summary, the incoming signals from a <strong>microearthquake</strong> network can<br />

have a wide range <strong>of</strong> amplitudes, but local earthquakes are characterized<br />

generally by their impulsive onsets, high-frequency content, exponential<br />

envelope, <strong>and</strong> decreasing signal frequency with time.<br />

To exploit these characteristics <strong>of</strong> <strong>microearthquake</strong>s, the concept <strong>of</strong><br />

short-term <strong>and</strong> long-term time averages <strong>of</strong> incoming signal amplitude has<br />

been introduced by a number <strong>of</strong> authors (e.g., Stewartet ul., 1971: Ambuter<br />

<strong>and</strong> Solomon, 1974). If the amplitude <strong>of</strong> the incoming signal is denoted<br />

by A( T), where T is time, then the short-term average at time t, a(t), can be<br />

defined by<br />

t<br />

(3.1) a(t) = (Ti)-' lA(d d7<br />

where T~ is the length <strong>of</strong> the time window for the short-term average,<br />

typically 1 sec or less. This permits a quick response to changes in the<br />

signal level that characterize the onset <strong>of</strong> an earthquake. Similarly, the<br />

long-term average at time t. @(t), can be defined by<br />

(3.2)

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