Observations and Bayesian location methodology of transient acoustic signals (likely blue whales) in the Indian Ocean, using a hydrophone triplet

Author(s)
Ronan Le Bras, Heidi Kuzma, Victor Sucic, Götz Bokelmann
Abstract

A notable sequence of calls was encountered, spanning several days in January 2003, in the central part of the Indian Ocean on a hydrophone triplet recording acoustic data at a 250 Hz sampling rate. This paper presents signal processing methods applied to the waveform data to detect, group, extract amplitude and bearing estimates for the recorded signals. An approximate location for the source of the sequence of calls is inferred from extracting the features from the waveform. As the source approaches the hydrophone triplet, the source level (SL) of the calls is estimated at 187 ± 6 dB re: 1 μPa-1 m in the 15-60 Hz frequency range. The calls are attributed to a subgroup of blue whales, Balaenoptera musculus, with a characteristic acoustic signature. A Bayesian location method using probabilistic models for bearing and amplitude is demonstrated on the calls sequence. The method is applied to the case of detection at a single triad of hydrophones and results in a probability distribution map for the origin of the calls. It can be extended to detections at multiple triads and because of the Bayesian formulation, additional modeling complexity can be built-in as needed.

Organisation(s)
Department of Meteorology and Geophysics
External organisation(s)
CTBTO Preparatory Comission, Chatelet Resources LLC, University of Rijeka
Journal
Journal of the Acoustical Society of America
Volume
139
Pages
2656-2667
No. of pages
12
ISSN
0001-4966
DOI
https://doi.org/10.1121/1.4948758
Publication date
05-2016
Peer reviewed
Yes
Austrian Fields of Science 2012
105126 Applied geophysics, 105122 Seismic, 105102 General geophysics, 105124 Tectonics
Keywords
ASJC Scopus subject areas
Arts and Humanities (miscellaneous), Acoustics and Ultrasonics
Portal url
https://ucrisportal.univie.ac.at/en/publications/b0996866-b5b6-4308-90fa-fdad92c0cdc5