Simplifying complex fault data for systems-level analysis: Earthquake geology inputs for U.S. NSHM 2023
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Published:2022-08-18
Issue:1
Volume:9
Page:
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ISSN:2052-4463
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Container-title:Scientific Data
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language:en
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Short-container-title:Sci Data
Author:
Hatem Alexandra E., Collett Camille M., Briggs Richard W.ORCID, Gold Ryan D.ORCID, Angster Stephen J., Field Edward H., Powers Peter M., Anderson Megan, Ben-Horin Jeri Young, Dawson Timothy, DeLong Stephen, DuRoss Christopher, Jobe Jessica Thompson, Kleber Emily, Knudsen Keith L., Koehler Richard, Koning Daniel, Lifton Zachery, Madin Ian, Mauch James, Pearthree Phil, Pollitz Fred, Scharer Katherine, Sherrod Brian, Stickney Michael, Wittke Seth, Zachariasen Judith,
Abstract
AbstractAs part of the U.S. National Seismic Hazard Model (NSHM) update planned for 2023, two databases were prepared to more completely represent Quaternary-active faulting across the western United States: the NSHM23 fault sections database (FSD) and earthquake geology database (EQGeoDB). In prior iterations of NSHM, fault sections were included only if a field-measurement-derived slip rate was estimated along a given fault. By expanding this inclusion criteria, we were able to assess a larger set of faults for use in NSHM23. The USGS Quaternary Fault and Fold Database served as a guide for assessing possible additions to the NSHM23 FSD. Reevaluating available data from published sources yielded an increase of fault sections from ~650 faults in NSHM18 to ~1,000 faults proposed for use in NSHM23. EQGeoDB, a companion dataset linked to NSHM23 FSD, contains geologic slip rate estimates for fault sections included in FSD. Together, these databases serve as common input data used in deformation modeling, earthquake rupture forecasting, and additional downstream uses in NSHM development.
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
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