Investigating global correlations between tsunami, earthquake, and subduction zone characteristics

This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint.

Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.

Downloads

Download Preprint

Authors

Iris van Zelst , Silvia Brizzi, Elenora van Rijsingen, Francesca Funiciello, Ylona van Dinther

Abstract

Tsunamigenic earthquakes pose a large hazard in subduction zones, but it is currently unclear in which - if any - tectonic setting they preferentially occur. Here, we compile the global Subduction Nature & Interconnected Tsunamigenic earthquake Characteristics (SNITCH) database with parameters on subduction geometry and tectonics, megathrust seismicity, and tsunami characteristics of tsunamis caused by earthquakes in subduction zones. We first use a bivariate regression analysis to reveal correlations between the normalised number of tsunamigenic earthquakes and the megathrust seismicity and tectonic parameters characterising a subduction zone. Considering the scarcity of tsunami data, we then employ the more robust multivariate Fisher analysis on the tectonic parameters to see which combination of parameters best distinguishes subduction zone segments in which relatively many and few tsunamis occur. The most important parameters in these combinations are consistently the type of margin (i.e., erosional or accretionary), the trench-normal component of the subduction and convergence velocity, the amount of trench sediments and the roughness of the incoming plate. Our results therefore suggest that tsunamigenic earthquakes may be more prone to occur in tectonic settings where plates subduct relatively fast beneath a sediment-starved, erosional margin with a complex, shallow subduction interface, characterised by multiple faults and fractures.

DOI

https://doi.org/10.31223/osf.io/dm2t4

Subjects

Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

Keywords

Tsunamis, Tectonics, subduction zones, Earthquakes, multivariate statistics, tsunamigenic earthquakes

Dates

Published: 2019-09-09 14:23

Last Updated: 2022-10-01 21:11

Older Versions
License

GNU Lesser General Public License (LGPL) 2.1