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Simplifying complex fault data for systems-level analysis: Earthquake geology inputs for U.S. NSHM 2023

As 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 iterati...

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Autores principales: Hatem, Alexandra E., Collett, Camille M., Briggs, Richard W., Gold, Ryan D., Angster, Stephen J., Field, Edward H., Powers, Peter M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388679/
https://www.ncbi.nlm.nih.gov/pubmed/35982062
http://dx.doi.org/10.1038/s41597-022-01609-7
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author Hatem, Alexandra E.
Collett, Camille M.
Briggs, Richard W.
Gold, Ryan D.
Angster, Stephen J.
Field, Edward H.
Powers, Peter M.
author_facet Hatem, Alexandra E.
Collett, Camille M.
Briggs, Richard W.
Gold, Ryan D.
Angster, Stephen J.
Field, Edward H.
Powers, Peter M.
author_sort Hatem, Alexandra E.
collection PubMed
description As 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.
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spelling pubmed-93886792022-08-20 Simplifying complex fault data for systems-level analysis: Earthquake geology inputs for U.S. NSHM 2023 Hatem, Alexandra E. Collett, Camille M. Briggs, Richard W. Gold, Ryan D. Angster, Stephen J. Field, Edward H. Powers, Peter M. Sci Data Data Descriptor As 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. Nature Publishing Group UK 2022-08-18 /pmc/articles/PMC9388679/ /pubmed/35982062 http://dx.doi.org/10.1038/s41597-022-01609-7 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Hatem, Alexandra E.
Collett, Camille M.
Briggs, Richard W.
Gold, Ryan D.
Angster, Stephen J.
Field, Edward H.
Powers, Peter M.
Simplifying complex fault data for systems-level analysis: Earthquake geology inputs for U.S. NSHM 2023
title Simplifying complex fault data for systems-level analysis: Earthquake geology inputs for U.S. NSHM 2023
title_full Simplifying complex fault data for systems-level analysis: Earthquake geology inputs for U.S. NSHM 2023
title_fullStr Simplifying complex fault data for systems-level analysis: Earthquake geology inputs for U.S. NSHM 2023
title_full_unstemmed Simplifying complex fault data for systems-level analysis: Earthquake geology inputs for U.S. NSHM 2023
title_short Simplifying complex fault data for systems-level analysis: Earthquake geology inputs for U.S. NSHM 2023
title_sort simplifying complex fault data for systems-level analysis: earthquake geology inputs for u.s. nshm 2023
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388679/
https://www.ncbi.nlm.nih.gov/pubmed/35982062
http://dx.doi.org/10.1038/s41597-022-01609-7
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