Please use this identifier to cite or link to this item:
Analysis of Acoustic Signals Detected on an Ocean-Bottom Seismograph Array in the Lau Basin, South Pacific Ocean
|2015-05-ms-brodie_r.pdf||Version for non-UH users. Copying/Printing is not permitted||2.16 MB||Adobe PDF||View/Open|
|2015-05-ms-brodie_uh.pdf||For UH users only||2.17 MB||Adobe PDF||View/Open|
|Title:||Analysis of Acoustic Signals Detected on an Ocean-Bottom Seismograph Array in the Lau Basin, South Pacific Ocean|
|Date Issued:||May 2015|
|Publisher:||[Honolulu] : [University of Hawaii at Manoa], [May 2015]|
|Abstract:||Ocean-bottom seismic networks are often deployed in remote regions to study the structure of the oceanic crust and mantle, and are able to detect both seismic signals and ocean acoustic signals. This thesis examines records from a large ocean-bottom seismic network to decipher the various acoustic signals that were recorded over nearly one year, including baleen whale calls and volcanic landslides. Specifically, ten months of broadband seismic data, recorded on twentynine ocean-bottom seismographs located in and adjacent to the Lau Basin, were utilized to identify baleen whale species and to determine species’ spatial, temporal, and diel patterns. Probable whale sounds that could not be matched to published spectrograms, as well as nonbiologic sounds that are likely of volcanogenic origin, were also recorded. An automatic detection algorithm utilizing empirical orthogonal functions and multinomial logistical regression was developed to detect select sound types from the large data set.|
|Description:||M.S. University of Hawaii at Manoa 2015.|
Includes bibliographical references.
|Appears in Collections:||
M.S. - Geology and Geophysics|
Please email firstname.lastname@example.org if you need this content in ADA-compliant format.
Items in ScholarSpace are protected by copyright, with all rights reserved, unless otherwise indicated.