Slip rate deficit and earthquake potential on shallow megathrusts
Most destructive tsunamis are caused by seismic slip on the shallow part of offshore megathrusts. The likelihood of this behaviour is partly determined by the interseismic slip rate deficit, which is often assumed to be low based on frictional studies of shallow fault material. Here, we present a ne...
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Published in: | Nature geoscience Vol. 14; no. 5; pp. 321 - 326 |
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Main Authors: | , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
London
Nature Publishing Group UK
01-05-2021
Nature Publishing Group |
Subjects: | |
Online Access: | Get full text |
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Summary: | Most destructive tsunamis are caused by seismic slip on the shallow part of offshore megathrusts. The likelihood of this behaviour is partly determined by the interseismic slip rate deficit, which is often assumed to be low based on frictional studies of shallow fault material. Here, we present a new method for inferring the slip rate deficit from geodetic data that accounts for the stress shadow cast by frictionally locked patches, and show that this approach greatly improves our offshore resolution. We apply this technique to the Cascadia and Japan Trench megathrusts and find that, wherever locked patches are present, the shallow fault generally has a slip rate deficit between 80 and 100% of the plate convergence rate, irrespective of its frictional properties. This finding rules out areas of low kinematic coupling at the trench considered by previous studies. If these areas of the shallow fault can slip seismically, the global tsunami hazard could be higher than currently recognized. Our method identifies critical locations where seafloor observations could yield information about frictional properties of these faults so as to better understand their slip behaviour.
Shallow parts of megathrusts up-dip of locked patches generally have a high slip rate deficit, which could mean tsunami hazard has been underestimated, according to a stress-constrained inversion of geodetic data. |
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ISSN: | 1752-0894 1752-0908 |
DOI: | 10.1038/s41561-021-00736-x |