Date of Award


Degree Name

Doctor of Philosophy


Geological Sciences


Aaron A. Velasco


As seismology continues to develop both theoretical and observational, so does its ability to be used in various applications. In this Dissertation, I develop and apply new approaches to five distinct projects (chapters 2-6), leveraging large and small high-quality targeted datasets to decipher fundamental and applied processes utilizing the full seismic wavefield. The first chapter introduces this Dissertation by providing broad context, continuity, and technical information about each of the five projects. Specifically, chapter 2 explores a seismic sensorâ??s ability to detect opera in Oak Ridge National Laboratory, TN, using a misfit power spectral density detector. Chapter 3 outlines work showing 42 of 46 seismic stations (located within 50 m from a U.S. campus) detecting a drop of anthropogenic seismic energy following the COVID-19 statewide school closures. Chapters 2 and 3 reiterate published work and can be found verbatim in their respective journals. Chapter 4 explores dynamic earthquake triggering in the Utah region occurring from 2000-2017, which proves to be limited besides the striking cases of extensive triggering caused by the 2004 Denali Fault, Alaska earthquake. Chapter 5 summarizes the potential dynamic earthquake triggering in Oklahoma from 2010-2016, revealing that dynamic triggering occurs along the regions with gas and oil well activity. Finally, chapter 6 outlines preliminary explorational work on Japanese seismic noise for 2011 using +100 TB worth of seismic data provided by 797 seismic stations from the High Sensitivity Seismograph Network in Japan. Initial results show a limited correlation between ecoregions and power spectral density noise makeup using a k-means analysis.




Received from ProQuest

File Size

177 p.

File Format


Rights Holder

David Lewis Guenaga

Available for download on Thursday, August 31, 2023