principles and applications of microearthquake networks
principles and applications of microearthquake networks
principles and applications of microearthquake networks
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88 4. Seismic Ray Tracirig for Minimum Time Path<br />
Thus the final set <strong>of</strong> eight first-order differential equations to be solved is<br />
0; = 0 gw29 0; = 0 806<br />
Wk = 08u(u, - GWZ),<br />
0; = o~z'(u, - Gos)<br />
(4.56) 6.J; = 0 804. 0; = 08u<br />
W& = w ~z)(u~ - Gw~), w; = 0<br />
t E [O, 11<br />
The variables corresponding to the solution <strong>of</strong> these equations are<br />
(4.57)<br />
0 1 = x, o2 = dx/ds, w3 = y, 04 = dy/ds<br />
o5 = z, wg = dz/ds, 07 = T, 0 8 = s<br />
The boundary conditions are<br />
0,(0) = xA, 03(0) = )'A, w5(0) = ZA<br />
(4.58) ol(1) = Xg, Wg(1) = YB, Wg(1) = ZB<br />
w,(O) = 0, w;(o) + wZ(0) + &O) = I<br />
where the coordinates for pcint A are (xA, yA, zA) <strong>and</strong> those for point B are<br />
(xg, yB. z~). The boundary condition for w7 is determined by the fact that<br />
the partial travel time at the initial point A is zero. The last boundary<br />
condition in Eq. (4.58) simply states that the sum <strong>of</strong> squares <strong>of</strong> direction<br />
cosines is unity, as given by Eq. (4.16).<br />
Equation (4.53) is a set <strong>of</strong> six first-order differential equations which are<br />
simple <strong>and</strong> exhibit a high degree <strong>of</strong> symmetry. This set <strong>of</strong> equations is<br />
equivalent to either Eq. (4.33) or Eq. (4.44) <strong>and</strong> is easier to solve using<br />
recently developed numerical methods. Equation (4.56) is an extension <strong>of</strong><br />
Eq. (4.53) so that the travel time <strong>and</strong> the ray path can be solved together.<br />
Otherwise, the travel time would have to be computed by numerial integration<br />
after the ray path is solved.<br />
Pereyraet a!. (1980) described in detail how to solve a first-order system<br />
<strong>of</strong> nonlinear ordinary differential equations subject to general nonlinear<br />
two-point boundary conditions, such as Eqs. (4.56)-(4.58). In their firstorder<br />
system solver, high accuracy <strong>and</strong> efficiency were achieved by using<br />
variable order finite-difference methods on nonuniform meshes which<br />
were selected automatically by the program as the computation proceeded.<br />
The method required the solution <strong>of</strong> large, sparse systems <strong>of</strong><br />
nonlinear equations, for which a fairly elaborate iterative procedure was<br />
designed. This in turn required a special linear equation solver that took<br />
into account the structure <strong>of</strong> the resulting matrix <strong>of</strong> coefficients. The<br />
variable mesh technique allowed the program to adapt itself to the particu-