Date of Award
1-1-2024
Document Type
Dissertation
Degree Name
Ph.D. in Engineering Science
First Advisor
Lei Cao
Second Advisor
Zhiqu Lu
Third Advisor
John N. Daigle
School
University of Mississippi
Relational Format
dissertation/thesis
Abstract
The main goal of this dissertation is to develop algorithms to accurately locate and detect underwater oil leakages through sounds emitted by oil-induced bubbles recorded by passive hydrophones. These algorithms aim to create an early warning system to prevent or identify catastrophic oil spills from pipelines, wellheads, and seafloor seepage.
Recommended Citation
Yang, Xing, "Acoustic Localization in Reverberant Environment" (2024). Electronic Theses and Dissertations. 2988.
https://egrove.olemiss.edu/etd/2988
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