Inferring the Focal Depths of Small Earthquakes in Southern California Using Physics-Based Waveform Features
Description:
Determining the depths of small crustal earthquakes is challenging in many regions of the world because most seismic networks are too sparse to resolve trade-offs between depth and origin time with conventional arrival time methods. Precise and accurate depth estimation is important because it can help seismologists discriminate between earthquakes and explosions, which is relevant to monitoring nuclear test ban treaties and producing earthquake catalogs that are uncontaminated by mining blasts. Here we examine the depth sensitivity of several physics-based waveform features for ~8,000 earthquakes in southern California that have well-resolved depths from arrival time inversion. We focus on small earthquakes (2 < ML < 4) recorded at local distances (< 150 km), where depth estimation is especially challenging. We find that differential magnitudes (Mw/ML – MC) are positively correlated with focal depth, implying that coda wave excitation decreases with focal depth. We analyze a simple proxy for apparent stress drop, log10(M0) + 3log10(fc), and find that source spectra are preferentially enriched in high frequencies, or “blue-shifted”, as focal depth increases. We also find that two spectral amplitude ratios, Rg,0.5-2 Hz/Sg,0.5-8 Hz and Pg/Sg at 3–8 Hz, decrease as focal depth increases. Using multilinear regression with these features as predictor variables, we develop models that can explain 11–59% of the variance in depths within 10 sub-regions and 25% of the depth variance across southern California as a whole. We suggest that incorporating these features into a machine learning workflow could help constrain focal depths in regions that are poorly instrumented and lack large databases of well-located events. The waveform features we evaluate in this study have previously been used as source discriminants and our results imply that their effectiveness in discrimination is partially because explosions generally occur at shallower depths than earthquakes.
Session: Advancements in Forensic Seismology and Explosion Monitoring [Poster Session]
Type: Poster
Date: 5/2/2024
Presentation Time: 08:00 AM (local time)
Presenting Author: Keith
Student Presenter: No
Invited Presentation:
Authors
Keith Koper Presenting Author Corresponding Author kkoper@gmail.com University of Utah |
Relu Burlacu burlacu@seis.utah.edu University of Uath |
Riley Murray rileymurray1324@gmail.com University of Utah |
Ben Baker u6024448@gcloud.utah.edu University of Utah |
Rigobert Tibi rtibi@sandia.gov Sandia National Laboratories |
Abdullah Mueen mueen@unm.edu University of New Mexico |
|
|
|
Inferring the Focal Depths of Small Earthquakes in Southern California Using Physics-Based Waveform Features
Category
Advancements in Forensic Seismology and Explosion Monitoring