Integration of rupture directivity models for the US National Seismic Hazard Model
Abstract
Several rupture directivity models (DMs) have been developed in recent years to describe the near-source spatial variations in ground-motion amplitudes related to propagation of rupture along the fault. We recently organized an effort toward incorporating these directivity effects into the US Geological Survey (USGS) National Seismic Hazard Model (NSHM), by first evaluating the community’s work and potential methods to implement directivity adjustments into probabilistic seismic hazard analysis (PSHA). Guided by this evaluation and comparison among the considered DMs, we selected an approach that can be readily implemented into the USGS hazard software, which provides an azimuthally varying adjustment to the median ground motion and its aleatory variability. This method allows assessment of the impact on hazard levels and provides a platform to test the DM amplification predictions using a generalized coordinate system, necessary for consistent calculation of source-to-site distance terms for complex ruptures. We give examples of the directivity-related impact on hazard, progressing from a simple, hypothetical rupture, to more complex fault systems, composed of multiple rupture segments and sources. The directivity adjustments were constrained to strike–slip faulting, where DMs have good agreement. We find that rupture directivity adjustments using a simple median and aleatory adjustment approach can affect hazard both from a site-specific perspective and on a regional scale, increasing ground motions off the end of the fault trace up to 30%–40% and potentially reducing it for sites along strike. Statewide hazard maps of California show that the change in shaking along major faults can be a factor to consider for assessing long-period (>1s) near-source effects within the USGS NSHM going forward, reaching up to 10%–20%. Finally, we suggest consideration of minimum parameter ranges and baseline requirements as future DMs are developed to minimize single approach adaptations to enable more consistent application within both ground motion and hazard studies.
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Acknowledgement
The authors thank Allison Shumway, Jason Altekruse, and Brandon Clayton for help with setting up hazard runs with nshmp-haz and providing scripts to plot hazard maps with Generic Mapping Tools (GMT) (Wessel et al., 2019). They thank Grace Parker for suggesting investigation into the effect of standard deviation on hazard; Norm Abrahamson for pointing out a misinterpretation of the WL18 report; Jeff Bayless and Graeme Weatherill and an anonymous reviewer for reviewing this article with helpful suggestions and comments to improve it. Jeff Bayless, Brian Chiou, Badie Rowshandel, Linda Al Atik, Graeme Weatherill, Yousef Bozornia, and Nick Gregor were helpful references in better understanding the individual DMs and details about integration into PSHA. Alec Binder and Brian Kelly helped to understand details of the complexity of finite-fault source structure and implementation of the WL18 DM, respectively. Alex Hatem is thanked for helping extract a subset of faults within California for establishing a testing platform that was computationally manageable for PSHA. Kevin Milner was helpful for pointing to the OpenSHA tool software that performs slip-rate inversion, and discussions with Ned Field were useful in understanding specifics of UCERF3. Art Frankel provided helpful guidance within the duration of this study.
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the US Government.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: by US Geological Survey Earthquake Hazards Program.
Conflict of Interest
he author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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10.1177_87552930241232708.pdf
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Additional details
Identifiers
- ISSN
- 1944-8201
Funding
- United States Geological Survey