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Spatio-Temporal Dynamics of Earthquake Swarms in the Yellowstone Caldera

Description: 

It is generally believed that earthquake swarms are driven by either aseismic slip or the migration of fluids through a preexisting fault network. However, the factors that control swarm evolution remain unclear. We present a new high-resolution earthquake catalog for the Yellowstone caldera, built using deep-learning algorithms. We detect about 4 times more earthquakes than the routine catalog and estimate precise relative earthquake hypocenters using cross-correlation differential time measurements. We perform cluster analysis to characterize the spatio-temporal dynamics of swarms in the region. Roughly 70% of the seismicity in our catalog occurs in a highly clustered mode, where punctuated episodes of hypocenter expansion and migration characterize most clusters. We perform a systematic statistical analysis to characterize swarm duration and spatial migration patterns. Our results suggest that swarms tend to migrate laterally, vertical migration is also observed, but less common.

Session: Deciphering Earthquake Clustering for the Better Understanding of Crustal Deformation Mechanisms

Type: Oral

Date: 4/20/2023

Presentation Time: 02:15 PM (local time)

Presenting Author: Manuel A. Florez

Student Presenter: No

Invited Presentation: 

Authors