A Generic Model of Global Earthquake Rupture Characteristics Revealed by Machine Learning

DOI number:10.1029/2021gl096464

Affiliation of Author(s):中国科学技术大学地球和空间科学学院

Journal:Geophysical Research Letters

Place of Publication:美国

Abstract:Rupture processes of global large earthquakes have been observed to exhibit great variability, whereas recent studies suggest that the average rupture behavior could be unexpectedly simple. To what extent do large earthquakes share common rupture characteristics? Here, we use a machine learning algorithm to derive a generic model of global earthquake source time functions. The model indicates that simple and homogeneous ruptures are pervasive whereas complex and irregular ruptures are relatively rare. Despite the standard long‐tail and near‐symmetric moment release processes, the model reveals

First Author:Zefeng Li

Indexed by:Journal paper

Correspondence Author:Zefeng Li

Document Code:23

Discipline:Natural Science

First-Level Discipline:Geophysics

Document Type:SCI

Volume:49

Issue:8

Page Number:e2021GL096464

ISSN No.:0094-8276

Translation or Not:no

Date of Publication:2022-04-18

Links to published journals:https://doi.org/10.1029/2021gl096464