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Assimilation of Paleoseismic Data for Earthquake Simulation

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Computational Earthquake Science Part II

Part of the book series: PAGEOPH Topical Volumes ((PTV))

Abstract

Simulationof the complete earthquake generation process requires assimilation of observational data on long-term behavior of faults over multiple rupture cycles. Paleoseismology, the study of pre-instrumental earthquakes from geological field investigations, provides the only observations of long-term fault behavior. Paleoseismic data present challenges for assimilation into models because data sets are small, sparse, analog, and contain qualitative uncertainties. Observations can be categorized as primary measurements from field data, or non-primary extrapolations or interpretations of primary data. Assimilation of non-primary data could yield biased simulation results. We present a primary data set for the San Andreas and Imperial faults for comparison with non-primary data in existing databases, and propose standard formats and structure for paleoseismic data assimilation into numerical simulation models.

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Authors and Affiliations

  1. Department of Environmental Health, Science, and Policy, University of California, Irvine, CA, USA

    Lisa B. Grant

  2. Department of Environmental Analysis and Design, University of California, Irvine, CA, USA

    Miryha M. Gould

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  1. Lisa B. Grant
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  2. Miryha M. Gould
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Editor information

Editors and Affiliations

  1. Earth and Space Sciences Division, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109-8099, USA

    Andrea Donnellan

  2. QUAKES, Earth Systems Science Computational Centre (ESSCC), Department of Earth Sciences, The University of Queensland, Brisbane, Qld, 4072, Australia

    Peter Mora

  3. Department of Earth and Planetary Science, The University of Tokyo, Bunkyo-ku, Tokyo, 113-0033, Japan

    Mitsuhiro Matsu’ura

  4. Center for Analysis and Prediction, CSB & Laboratory of Nonlinear Mechanics, Institute of Mechanics, China Academy of Sciences, Beijing, 100080, China

    Xiang-chu Yin

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© 2004 Springer Basel AG

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Grant, L.B., Gould, M.M. (2004). Assimilation of Paleoseismic Data for Earthquake Simulation. In: Donnellan, A., Mora, P., Matsu’ura, M., Yin, Xc. (eds) Computational Earthquake Science Part II. PAGEOPH Topical Volumes. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-7875-3_13

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  • DOI: https://doi.org/10.1007/978-3-0348-7875-3_13

  • Publisher Name: Birkhäuser, Basel

  • Print ISBN: 978-3-7643-7143-2

  • Online ISBN: 978-3-0348-7875-3

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