Date of Award

Fall 2015

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Geophysical Engineering

Committee Chair

Khalid Miah

First Advisor

Marvin Speece

Second Advisor

Michale Stickney

Abstract

Passive seismic interferometry is a process by which ambient noise data recorded at different seismic stations can be cross-correlated to estimate Green's functions. In the past, both surface waves and body waves have successfully been extracted by cross-correlation of ambient noise data on both regional and global scales. In this study, I have generated Matlab code to simulate an application of seismic interferometry on a synthetic model with pre-defined layers and p-wave velocities. For areas with known velocity models, the Matlab code produced in this study can be used to generate synthetic seismograms, and model the effects of cross-correlation on receiver responses. In order to develop a general understanding of the ambient noise wavefield in western Montana, a spectral analysis program was developed in Matlab. This program is used to process ambient noise data from the Transportable Array (TA) Seismographic Network, and to generate its power spectral density plots and probability density functions. The detailed spectral analysis provides some insight to the ambient noise sources, and their energy distribution throughout western Montana. In addition, an attempt was made to preprocess ambient noise data from the TA array in Matlab for later use. Although preprocessing of the data was successful, limitations in computing power and time, allowed for temporal stacking of only one month of data. The one month period was not long enough to produce Green's functions which contain coherent body waves.

Comments

A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Geophysical Engineering Montana Tech 2015

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