A Global Set of Subduction Zone Earthquake Scenarios and Recurrence Intervals Inferred From Geodetically Constrained Block Models of Interseismic Coupling Distributions

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: http://doi.org/10.1029/2021GC009802. This is version 1 of this Preprint.

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Authors

Shannon E Graham, John P Loveless, Brendan J Meade

Abstract

The past 100 years have seen the occurrence of five $\MW\geq9$ earthquakes and 94 $\MW\geq8$ earthquakes. Here we assess the potential for future great earthquakes using inferences of interseismic subduction zone coupling from a global block model incorporating both tectonic plate motions and earthquake cycle effects. Interseismic earthquake cycle effects are represented using a first-order quasistatic elastic approximation and include $\sim10^7$ km$^2$ of interacting fault system area across the globe. We use estimated spatial variations in decadal-duration coupling at 15 subduction zones and the Himalayan range front to estimate the locations and magnitudes of potential seismic events using empirical scaling relationships relating rupture area to moment magnitude. As threshold coupling values increase, estimates of potential earthquake magnitudes decrease, but the total number of large earthquakes varies non-monotonically. These rupture scenarios include as many as 14 recent or potential $\MW\geq9$ earthquakes globally and up to 18 distinct $\MW\geq7$ events associated with a single subduction zone (South America). We also combine estimated slip deficit rates and potential event magnitudes to calculate recurrence intervals for large earthquake scenarios, finding that almost all potential earthquakes have a recurrence time of less than 1,000 years.

DOI

https://doi.org/10.31223/X54G8H

Subjects

Earth Sciences

Keywords

GPS, coupling, block model, earthquake forecast

Dates

Published: 2021-03-18 20:21

Last Updated: 2021-03-19 03:21

License

CC BY Attribution 4.0 International

Additional Metadata

Data Availability (Reason not available):
https://github.com/brendanjmeade/reference_gbm