Research Projects

January 16, 2025

Paper: Exploring Uncertainty in Moment Estimation for Small Earthquakes in Southern Nevada Using the Coda Envelope Method.

In calculating Mw for small earthquakes using spectral fitting, we show that it's particularly important to have well-constrained estimates of depth and apparent stress.
December 6, 2024

Paper: Earthquake Source Spectra Estimates Vary Widely for Two Ridgecrest Aftershocks Because of Differences in Attenuation Corrections.

A community science experiment reveals an important source of uncertainty in measurements of earthquake properties.
November 23, 2024

Paper: Localization and Delocalization During Seismic Slip

Professor Heather Savage (UCSC) and Professor Christie Rowe (UNR) characterized the size of slipping layers during earthquakes and how this influences the size of earthquake events through heat production and dissipation.
September 24, 2024

Paper: Potency-Magnitude Scaling Relations and a Unified Earthquake Catalog for the Western United States. 

Daniel Trugman (UNR) and Yehuda Ben-Zion (USC) develop a new, unified understanding of the relation between different measures of earthquake size.
September 11, 2024

Paper: Separating Injection-Driven and Earthquake-Driven Induced Seismicity by Combining a Fully Coupled Poroelastic Model With Interpretable Machine Learning

Ryley Hill (SDSU), Daniel Trugman (UNR), and Matthew Weingarten (SDSU) use machine learning to illuminate the physical processes driving human-triggered seismicity.
June 24, 2024

Paper: A High‐Precision Earthquake Catalog for Nevada

Nevada has a new and highly detailed catalog of earthquake occurrences from the past fifteen years.
June 14, 2024

Paper: High-frequency ground motions of earthquakes correlate with fault network complexity.

Scientists identify a connection between the geometry of the fault network on which earthquakes occur and the level of ground motions the earthquakes produce.
June 5, 2024

Paper: Fault-network geometry influences earthquake frictional behaviour.

Faults in California that slowly creep rather than rupture abruptly in large earthquakes are more common in areas where the fault network is geometrically simple.
February 20, 2024

Paper: Deep Learning Peak Ground Acceleration Prediction Using Single-Station Waveforms

The study proposes a vision transformer (ViT) model to predict peak ground acceleration (PGA) from just 4 seconds of seismic data, outperforming traditional methods and showing promise for real-time earthquake early warning systems. It achieves accurate r
May 15, 2023

Louie: Building a CVM for seismic resilience in western Nevada's industrial base: Collaborative research with the Univ. of Nevada, Reno and Univ. of Cincinnati

Louie and Sturmer (U. Cincinnati) with CTEMPs lead students in gravity and passive seismic measurements of basin thickness and geotechnical velocity in Reno's critical industrial areas to improve community earthquake resilience
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