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Bulletin of the Seismological Society of America; April 2004; v. 94; no. 2; p. 691-704; DOI: 10.1785/0120030110
© 2004 Seismological Society of America
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Joint Analysis of Teleseismic Receiver Functions and Surface Wave Dispersion using the Genetic Algorithm

Sung-Joon Chang, Chang-Eob Baag and Charles A. Langston

School of Earth and Environmental Sciences
Seoul National University
Seoul 151-747, Korea
baagce{at}snu.ac.kr
(S.-J.C., C.-E.B.)
Center for Earthquake Research and Information
University of Memphis
Memphis, Tennessee 38152-3050
(C.A.L.)

Manuscript received 2 June 2003.

Teleseismic P-wave receiver function data and Rayleigh-wave phase velocity measurements are combined using the genetic algorithm, a global optimization technique, to model crustal structure in southern Korea. The two datasets complement each other because receiver functions are sensitive to shear-wave velocity contrasts in layered structures, while surface wave dispersion is sensitive to averages of shear-wave velocities. The genetic algorithm is more useful than linearized inversion in regions where there is little a priori information about local velocity structure because it is not sensitive to the initial model. The stability and variability of resulting crustal model parameters are quantified by using a Monte Carlo technique in specifying a suite of initial models. Depths to the Moho discontinuity in southern Korea were estimated to be 29-30 km for stations near the western coast and 33-36 km for inland stations. A well-resolved crustal low-velocity zone was inferred for some stations.




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