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Published April 6, 2018 | Published
Journal Article Open

Probabilistic Estimates of Ground Motion in the Los Angeles Basin from Scenario Earthquakes on the San Andreas Fault

Abstract

Kinematic source inversions of past earthquakes in the magnitude range of 6–8 are used to simulate 60 scenario earthquakes on the San Andreas fault. The unilateral rupture scenario earthquakes are hypothetically located at 6 locations spread out uniformly along the southern section of the fault, each associated with two hypocenters and rupture directions. Probabilities of occurrence over the next 30 years are assigned to each of these earthquakes by mapping the probabilities of 10,445 plausible earthquakes postulated for this section of the fault by the Uniform California Earthquake Rupture Forecast. Three-component broadband ground motion histories are computed at 636 sites in the greater Los Angeles metropolitan area by superposing short-period (0.2–2.0 s) empirical Green's function synthetics on top of long-period (>2.0 s) spectral element synthetics. The earthquake probabilities and the computed ground motions are combined to develop probabilistic estimates of ground shaking in the region from San Andreas fault earthquakes over the next 30 years. The results could be useful in city planning, emergency management, and building code enhancement.

Additional Information

© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Received: 28 December 2017 / Revised: 4 March 2018 / Accepted: 28 March 2018 / Published: 6 April 2018. We thank Rob Graves (USGS), Chen Ji (UCSB), Dimitri Komatitsch (CNRS/University of Aix-Marseille), Thomas Heaton (Caltech), and Martin Main (KAUST) for their insights into various aspects of source modeling, earthquake mechanisms, and ground motion simulations. We also thank Edward Field (USGS), Morgan Page (USGS), and Kevin Milner (USC) for their assistance with UCERF and earthquake probability data. We are grateful to the Tromp research group for the continued development of SPECFEM3D. Financial support from the U.S. National Science Foundation (NSF-CMMI Award No. 0926962) is gratefully acknowledged. Author Contributions: The conception of the central idea, development of the methodology, analysis and interpretation of data, and derivation of results and conclusions were performed jointly by Mourhatch and Krishnan. All simulations were carried out by Mourhatch. The authors declare no conflicts of interest.

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August 21, 2023
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