Skip to main
CaltechAUTHORS
Communities
My dashboard
Log in
CaltechAUTHORS
Published April 12, 2024 | Version in press
Journal Article Open

Forecasting the Long-Term Spatial Distribution of Earthquakes for the 2023 U.S. National Seismic Hazard Model Using Gridded Seismicity

Creators

  • Llenos, Andrea L. ORCID icon
  • Michael, Andrew J. ORCID icon
  • Shumway, Allison M. ORCID icon
  • Rubinstein, Justin L. ORCID icon
  • Haynie, Kirstie L. ORCID icon
  • Moschetti, Morgan P. ORCID icon
  • Altekruse, Jason M. ORCID icon
  • Milner, Kevin R. ORCID icon

Abstract

Probabilistic seismic hazard analyses such as the U.S. National Seismic Hazard Model (NSHM) typically rely on declustering and spatially smoothing an earthquake catalog to estimate a long‐term time‐independent (background) seismicity rate to forecast future seismicity. In support of the U.S. Geological Survey’s (USGS) 2023 update to the NSHM, we update the methods used to develop this background or gridded seismicity model component of the NSHM. As in 2018, we use a combination of fixed and adaptive kernel Gaussian smoothing. However, we implement two additional declustering methods to account for the fact that declustering is a nonunique process. These new declustering methods result in different forecasts for the locations of future seismicity, as represented by spatial probability density functions that are later combined with a rate model to produce a full gridded earthquake rate forecast. The method updates, particularly in the separation of the spatial and rate models as well as revised regional boundaries, in some places cause substantive changes to the seismic hazard forecast compared to the previous 2018 NSHM. Additional updates to catalog processing and induced seismicity zones also contribute to changes in the gridded seismicity hazard since 2018. However, these changes are well understood and reflect improvements in our modeling of gridded seismicity hazard.

Copyright and License

© 2024 Seismological Society of America.

Acknowledgement

The authors thank Charles Mueller, John Anderson, and Iason Grigoratos for discussions about the various declustering and smoothing methods and providing codes. The authors also gratefully acknowledge the invaluable assistance, codes, and discussions from the late Ilya Zaliapin. Scott Ausbrooks, Noel Bartlow, Mike Brudzinski, Shannon Fasola, Steve Horton, Paul Ogwari, Shelby Peterie, Alexandros Savvaidis, Robert Skoumal, Jake Walter, and Will Yeck all provided information that was critical to defining the areas of induced seismicity described in the  Appendix. Robert Skoumal and Elizabeth Cochran added valuable feedback on an earlier version of the  Appendix, and the authors thank Julie Herrick for help making the map figure in the  Appendix. The authors also thank David Shelly, Associate Editor Sanjay Bora, and an anonymous reviewer who provided comments that helped greatly improve the article. The Scientific Colour Maps Hawai?i and vik (Crameri, 2018) are used in this study to prevent visual distortion of the data and exclusion of readers with color‐vision deficiencies (Crameri et al., 2020). Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Data Availability

All data used in this article come from published sources listed in the references. The resulting declustered catalogs and smoothed grids are available in Petersen et al. (2023b) and Powers and Altekruse (2022), respectively. The supplemental material contains tables and figures that provide additional information about the catalog separation process used in Alaska, updates in the input catalogs, the bimodal distributions used for nearest neighbor (NN) declustering, ratio plots comparing the different declustering, and smoothing spatial probability density functions (PDFs), the spatial PDFs for the western United States (WUS) deep subcatalogs, and an example of central and eastern United States (CEUS) catalog magnitude changes.

bssa-2023220_supplement- docx file

Conflict of Interest

The authors acknowledge that there are no conflicts of interest recorded.

Files

Files (7.0 MB)

Name Size
bssa-2023220_supplement.docx
md5:7912377d0ec65eff5db92bc84870b99c
7.0 MB Download

Additional details

Identifiers

ISSN
1943-3573
35
Views
10
Downloads
Show more details
All versions This version
Views

Total views

35 35
Downloads

Total downloads

10 10
Data volume

Total data volume

69.7 MB 69.7 MB

More info on how stats are collected....

Versions

Details

DOI
10.1785/0120230220
DOI Badge

DOI

10.1785/0120230220

Markdown

[![DOI](https://authors.caltechlibrary.dev/badge/DOI/10.1785/0120230220.svg)](https://handle.test.datacite.org/10.1785/0120230220)

reStructuredText

.. image:: https://authors.caltechlibrary.dev/badge/DOI/10.1785/0120230220.svg
  :target: https://handle.test.datacite.org/10.1785/0120230220

HTML

<a href="https://handle.test.datacite.org/10.1785/0120230220"><img src="https://authors.caltechlibrary.dev/badge/DOI/10.1785/0120230220.svg" alt="DOI"></a>

Image URL

https://authors.caltechlibrary.dev/badge/DOI/10.1785/0120230220.svg

Target URL

https://handle.test.datacite.org/10.1785/0120230220
Resource type
Journal Article
Publisher
Seismological Society of America
Published in
Bulletin of the Seismological Society of America, ISSN: 0037-1106, 2024.
Languages
English

Rights

License

  • No commercial reproduction, distribution, display or performance rights in this work are provided.
    No further description.

Communities

Export

Technical metadata

Created
May 28, 2024
Modified
May 28, 2024
About Policies Help Powered by InvenioRDM