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principles and applications of microearthquake networks

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3.4. Everrt Processitig 61<br />

duration <strong>of</strong> the earthquake. Precise measurement <strong>of</strong> the phase data is<br />

essential because they are used to compute the origin time. hypocenter,<br />

<strong>and</strong> magnitude <strong>of</strong> the earthquake, <strong>and</strong> to deduce its focal mechanism. In<br />

the following subsection, we give some general methods <strong>of</strong> measuring the<br />

phase data.<br />

The goals <strong>of</strong> event processing are to measure the phase data as uniformly<br />

<strong>and</strong> precisely as possible <strong>and</strong> to prepare the so-called phase list<br />

containing these data for each earthquake. In this section. we discuss<br />

processing the individual seismic traces, while in Section 3.5 we discuss<br />

processing the phase lists.<br />

3.4.1. Visual Methods<br />

The traditional way <strong>of</strong> measuring phase data is to read visually the<br />

phase time, amplitudes <strong>and</strong> periods, etc., from the seismograms using<br />

rulers or scales (see, e.g., Willmore, 1979). The phase data are usually<br />

recorded on a printed form to facilitate punching cards or otherwise entering<br />

the data into a computer. The visual method has the advantage that it<br />

is straightforward. It is also a simple matter to read <strong>and</strong> merge data from a<br />

variety <strong>of</strong> visual recording media. For a small <strong>microearthquake</strong> network<br />

operating in an area <strong>of</strong> moderate seismicity, this may be the most costeffective<br />

method to use. However, the visual method has the following<br />

disadvantages: (1) different analysts may read the seismograms differently:<br />

(2) errors may be introduced in measuring, writing, or keypunching<br />

the data; <strong>and</strong> (3) it may be difficult to carry out such a tedious task over a<br />

long period <strong>of</strong> time. Also, visual recording media have a limited dynamic<br />

range <strong>and</strong> a limited recording speed, so that some <strong>of</strong> the phase data (such<br />

as first P-motion, S-arrival, <strong>and</strong> maximum trace amplitude) cannot be read<br />

precisely, if at all.<br />

For a large <strong>microearthquake</strong> network where the data volume is large,<br />

the visual method <strong>of</strong> measuring phase data requires a considerable amount<br />

<strong>of</strong> checking to minimize errors in data h<strong>and</strong>ling. This includes systematic<br />

checking <strong>of</strong> measured phase data by another analyst before keypunching,<br />

<strong>and</strong> systematic verifying <strong>of</strong> the phase data after keypunching. Our experience<br />

shows that analysts or keypunch operators occasionally enter the<br />

data in the wrong place or transpose digits in the data. For example, a<br />

P-arrival time <strong>of</strong> 13.55 sec may be written or keypunched as 3 1.55 sec.<br />

3.4.2. Semiautomated Methods<br />

Semiautomated methods usually are designed to eliminate the tasks <strong>of</strong><br />

recording <strong>and</strong> keypunching data that are required in the visual methods.

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