Publication Date:
2022-02-16
Description:
In seismic modelling, fault planes are normally assumed to be flat due to the lack of data which can constrain
fault morphology. However, incorporating 3D fault morphology is important for modelling several phenomena,
for example calculating mainshock induced stress changes. We utilize a data-analytical method to unveil the 3D
rupture morphology of faults using unsupervised clustering techniques applied to earthquake hypocenters in
seismic sequences. We apply this method to the 2009 L’Aquila seismic sequence which involved a MW 6.1
mainshock on April 6th. We use a dataset of about 50,000 relocated events, mostly microearthquakes, reaching
magnitude of completeness equal to 0.7. Clustering distinguishes the earthquakes as occurring in three main
clusters along with other minor fault segments. We then represent the morphology of the main Paganica fault
system (responsible for the largest mainshock) using splines. This method shows promise as a step toward
robustly and quickly obtaining 3D rupture morphologies where earthquake sequences have been monitored. The
3D model is presented interactively online, and the processing is presented in an interactive Jupyter Notebook
(https://bit.ly/2MnCFdj).
Description:
Published
Description:
228756
Description:
3T. Fisica dei terremoti e Sorgente Sismica
Description:
JCR Journal
Keywords:
Fault morphology Clustering L’Aquila earthquake sequence
;
Clustering
;
L’Aquila earthquake sequence
Repository Name:
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Type:
article
