Earth and Planetary Sciences ETDs
Publication Date
Fall 12-13-2025
Abstract
Understanding the internal architecture of magmatic systems is crucial for volcanology, yet conventional geophysical techniques often lack the resolution to image their fine-scale structures. This dissertation leverages unique datasets from dense nodal arrays to investigate the upper crustal magmatic systems beneath Yellowstone Caldera, Valles Caldera, and Mount St. Helens. At Yellowstone, I processed vibroseis data to delineate the top of the modern magma reservoir and evaluate the thermal connection between the magmatic and the overlying hydrothermal systems. At Valles, 3D radial seismic anisotropy imaging reveals strong positive radial anisotropy within the reservoir, indicating an organized structure of horizontally sill-like melt layers containing 17-24% melts. At Mount St. Helens, a dense nodal array enables the detection of a previously unresolved low-velocity anomaly, demonstrating the superior resolution of nodal deployments for illuminating fine-scale volcanic features.
Degree Name
Earth and Planetary Sciences
Level of Degree
Doctoral
Department Name
Department of Earth and Planetary Sciences
First Committee Member (Chair)
Lindsay Worthington
Second Committee Member
Brandon Schmandt
Third Committee Member
Eric Lindsey
Fourth Committee Member
Fan-Chi Lin
Keywords
Yellowstone, Valles, Mount St. Helens, nodal array
Document Type
Dissertation
Recommended Citation
Song, Wenkai. "Seismological investigations of magmatic systems using dense nodal arrays." (2025). https://digitalrepository.unm.edu/eps_etds/439