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Published May 25, 2007 | Published
Journal Article Open

Regional mapping of the crustal structure in southern California from receiver functions

Abstract

Lateral variations of the crustal structure in southern California are determined from receiver function (RF) studies using data from the Southern California Seismic Network broadband stations and Los Angeles Regional Seismic Experiment surveys. The results include crustal thickness estimates at the stations themselves, and where possible, cross sections are drawn. The large-scale Moho depth variation pattern generally correlates well with the current status of the Mesozoic batholith: Deep Moho of 35–39 km is observed beneath the western Peninsula Ranges, Sierra Nevada, and San Bernardino Mountains, where the batholith is relatively intact, and shallow Moho of 26–32 km is observed in the Mojave Desert, where the batholith is highly deformed and disrupted. High-resolution lateral variations of the crustal structure for individual geographic provinces are investigated, and distinctive features are identified. The crustal structure is strongly heterogeneous beneath the central Transverse Ranges, and deep Moho of 36–39 km is locally observed beneath several station groups in the western San Gabriel Mountains. Moho is relatively flat and smooth beneath the western Mojave Desert but gets shallower and complicated to the east. Anomalous RFs are observed at two stations in the eastern Mojave Desert, where a Moho step of ∼8–10 km is found between the NW and SE back-azimuthal groups of station DAN in the Fenner Valley. Asymmetric extension of the Salton Trough is inferred from the Moho geometry. Depth extension of several major faults, such as the San Andreas Fault and San Gabriel Fault, to the Moho is inferred.

Additional Information

© 2007 by the American Geophysical Union. Received 6 July 2006; revised 8 November 2006; accepted 16 January 2007; published 25 May 2007. We thank the Southern California Seismic Network and the Southern California Earthquake Data Center for providing the network data and the IRIS data center and Monica Kohler for providing the LARSE data. We would also like to thank the reviews by Associate Editor Rodolfo Console, Eugene Humphreys, and an anonymous reviewer for the improvement of this manuscript. This research is partially support by USGS contract 04HQAG0010.

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August 22, 2023
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