The constrained linear least-squares perturbations to the
function were found to be very stable and well represented by a sixth order Chebyshev polynomial at hypocentral distances from 8 km to 500 km. At shorter distances, it is approximated by a line with a slope close to 2. In this study, we use hypocentral distance, rather than epicentral distance as originally used by Richter (1935), to accurately represent variation in the
attenuation function at close distances. This
form was adopted and a CISN
algorithm was developed and used in all subsequent inversions for the
SNCL adjustments. A plot of the CISN
function is shown in Figure 2.26.
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