Uncertainty in Ground-Motion-to-Intensity Conversions Significantly Affects Earthquake Early Warning Alert Regions
Abstract
We examine how the choice of ground‐motion‐to‐intensity conversion equations (GMICEs) in earthquake early warning (EEW) systems affects resulting alert regions. We find that existing GMICEs can underestimate observed shaking at short rupture distances or overestimate the extent of low‐intensity shaking. Updated GMICEs that remove these biases would improve the accuracy of alert regions for the ShakeAlert EEW system for the West Coast of the United States. ShakeAlert uses ground‐motion prediction equations (GMPEs), which calculate spatial distributions of peak ground acceleration (PGA) and peak ground velocity (PGV) from earthquake source estimates, combined with GMICEs to translate GMPE output into modified Mercalli intensity (MMI). We find significant epistemic uncertainty in alert distances; near‐source MMI estimates from different GMICEs can differ by over 1 MMI unit, and MMI extents used for public EEW alerts can differ by hundreds of kilometers for larger magnitude earthquakes (M ∼6.5+). We use a catalog of “Did You Feel It?” shaking reports to evaluate how well GMICEs predict observed shaking. Our preferred GMICE is the one that computes MMI using PGV for high intensities and transitions to using PGA for nondamaging intensities. These results motivate updating GMICE relationships more generally, including in ShakeMap applications.
Copyright and License
© 2024 The Author(s). Published by Seismological Society of America. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Acknowledgement
The authors thank Gail Atkinson, Bruce Worden, an anonymous reviewer, and the U.S. Geological Survey (USGS) internal review officials for comments that improved this article. This work benefited greatly from discussions with members of the ShakeAlert Ground‐Motion Modeling Working Group as well as other members of the ShakeAlert community. This research was supported by the USGS Earthquake Hazards Program through the ShakeAlert Project, under Grant Number G21AC10561 to Caltech and Grant Number G21AC10532 to ETH Zürich.
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
Earthquake source information and “Did You Feel It?” (DYFI) intensity observations were obtained from the U.S. Geological Survey (USGS, 2017). All analyses and figures were created using Python (https://python.org, last accessed January 2024). The supplemental material contains additional details about ShakeAlert’s ground‐motion modeling procedures and additional figures.
Conflict of Interest
The authors acknowledge that there are no conflicts of interest recorded.
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Additional details
- United States Geological Survey
- G21AC10561
- United States Geological Survey
- G21AC10532
- Caltech groups
- Seismological Laboratory