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principles and applications of microearthquake networks

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138 6. Methotls <strong>of</strong> Data Analysis<br />

tee reaching a global minimum by an iterative procedure, <strong>and</strong> readers are<br />

referred to Section 5.4 <strong>and</strong> the references cited therein. Iterations usually<br />

are terminated if the adjustments or the root-mean-square value <strong>of</strong> the<br />

residuals falls below some prescribed value, or if the allowed maximum<br />

number <strong>of</strong> iterations is exceeded.<br />

There are errors <strong>and</strong> sometimes blunders in reading arrival times <strong>and</strong><br />

station coordinates. The least squares method is appropriate if the errors<br />

are independent <strong>and</strong> r<strong>and</strong>om. Otherwise, it will give disproportional<br />

weight to data with large errors <strong>and</strong> distort the solution so that errors are<br />

spread among the stations. Consequently, low residuals do not necessarily<br />

imply that the earthquake location is good. It must be emphasized that the<br />

quality <strong>of</strong> an earthquake location depends on the quality <strong>of</strong> the input data.<br />

No mathematical manipulation can substitute for careful preparation <strong>of</strong><br />

the input data. It is quite easy to write an earthquake location program for<br />

a digital computer using Geiger’s method. However, it is difficult to validate<br />

the correctness <strong>of</strong> the program code. Furthermore, it is not easy to<br />

write an earthquake location program that will h<strong>and</strong>le errors in the input<br />

data properly <strong>and</strong> let the users know if they are in trouble. The mechanics<br />

<strong>of</strong> locating earthquakes have been discussed, for example, by Bul<strong>and</strong><br />

(1976), <strong>and</strong> problems <strong>of</strong> implementing a general-purpose earthquake location<br />

program for <strong>microearthquake</strong> <strong>networks</strong> are discussed, for example,<br />

by Lee e? al. (1981).<br />

In this section, we have not treated the method for joint hypocenter<br />

determination <strong>and</strong> related techniques. These techniques are generalizations<br />

<strong>of</strong> Geiger’s method to include station corrections for travel time<br />

as additional parameters to be determined from a group <strong>of</strong> earthquakes.<br />

Readers may refer to works, for example, by Douglas (1967), Dewey<br />

(1971), <strong>and</strong> Bolt e? a/. (1978). Also, we have not dealt with the problem <strong>of</strong><br />

using more complicated velocity models for <strong>microearthquake</strong> location. In<br />

principle, seismic ray tracing in a heterogeneous medium (see Chapter 4)<br />

can be applied in a straightforward manner (e.g., Engdahl <strong>and</strong> Lee, 1976),<br />

but at present the computation is too expensive for routine work. Recently,<br />

Thurber <strong>and</strong> Ellsworth (1980) introduced a method to compute<br />

rapidly the minimum time ray path in a heterogeneous medium. They first<br />

constructed a one-dimensional, laterally average velocity model from a<br />

given three-dimensional velocity structure, <strong>and</strong> then determined the minimum<br />

time ray path by the st<strong>and</strong>ard technique for a horizontally layered<br />

velocity model (see Section 4.4.4.). In addition, many advances in seismic<br />

ray tracing <strong>and</strong> in inversion for velocity structure have been made in<br />

explosion seismology. Numerous publications have appeared, <strong>and</strong> readers<br />

may refer to works, for example, by McMechan (1976), Mooney <strong>and</strong><br />

Prodehl (1978), Cerveny <strong>and</strong> Hron (1980), <strong>and</strong> McMechan <strong>and</strong> Mooney

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