Long distance passive localization of vocalizing sei whales using an acoustic normal mode approach

Newhall, Arthur E.; Lin, Ying‐Tsong; Lynch, James F.; Baumgartner, Mark F.; Gawarkiewicz, Glen

doi:10.1121/1.3666015

Cited by 32 publications

(24 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The mean value of the sei whale downsweep chirp vocalization source level distribution obtained here of 173.5 ± 3.2 dB re 1 µPa at 1 m is smaller than previous estimates of sei whale downsweep vocalizations measured in the nearby continental shelf off New Jersey (179 ± 4 dB re 1 µPa at 1 m [35]). …”

Section: Discussioncontrasting

confidence: 49%

“…Vocalization source level is also essential for determining marine mammal communication ranges, which are key considerations in assessing the impact of anthropogenic sound on marine mammal behavior [31,32]. Previous estimates of vocalization source level for the baleen whale species considered here include fin whales off the Western Antarctic Peninsula and near Juan de Fuca Ridge of the northeast Pacific Ocean [33,34]; sei whales on the continental shelf off New Jersey [35]; minke whales near the Great Barrier Reef, Hawaii, and the Stellwagen Bank area of the Gulf of Maine [28,36,37]; and blue whales distributed in multiple ocean areas, including both the Pacific and Atlantic Ocean [15,33,[38][39][40]. Previous vocalization source level estimates typically focused on a single species based on vocalization sample sizes ranging from a few tens to a few hundred.…”

Section: Introductionmentioning

confidence: 99%

“…Transmission losses TL were often modeled previously using the azimuthally-symmetric formula TL = X log 10 R with the transmission loss coefficient X varying between the limits of spherical spreading (X = 20) and cylindrical spreading (X = 10) for source-receiver range separation R depending on the environment [15,33,36,37]. In [35], a normal-mode based ocean acoustic propagation model was employed to correct for transmission losses in estimating sei whale vocalization source level in the shallow New Jersey shelf environment.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Vocalization Source Level Distributions and Pulse Compression Gains of Diverse Baleen Whale Species in the Gulf of Maine

et al. 2016

View full text Add to dashboard Cite

Abstract:The vocalization source level distributions and pulse compression gains are estimated for four distinct baleen whale species in the Gulf of Maine: fin, sei, minke and an unidentified baleen whale species. The vocalizations were received on a large-aperture densely-sampled coherent hydrophone array system useful for monitoring marine mammals over instantaneous wide areas via the passive ocean acoustic waveguide remote sensing technique. For each baleen whale species, between 125 and over 1400 measured vocalizations with significantly high Signal-to-Noise Ratios (SNR > 10 dB) after coherent beamforming and localized with high accuracies (<10% localization errors) over ranges spanning roughly 1 km-30 km are included in the analysis. The whale vocalization received pressure levels are corrected for broadband transmission losses modeled using a calibrated parabolic equation-based acoustic propagation model for a random range-dependent ocean waveguide. The whale vocalization source level distributions are characterized by the following means and standard deviations, in units of dB re 1 µPa at 1 m: 181.9 ± 5.2 for fin whale 20-Hz pulses, 173.5 ± 3.2 for sei whale downsweep chirps, 177.7 ± 5.4 for minke whale pulse trains and 169.6 ± 3.5 for the unidentified baleen whale species downsweep calls. The broadband vocalization equivalent pulse-compression gains are found to be 2.5 ± 1.1 for fin whale 20-Hz pulses, 24 ± 10 for the unidentified baleen whale species downsweep calls and 69 ± 23 for sei whale downsweep chirps. These pulse compression gains are found to be roughly proportional to the inter-pulse intervals of the vocalizations, which are 11 ± 5 s for fin whale 20-Hz pulses, 29 ± 18 for the unidentified baleen whale species downsweep calls and 52 ± 33 for sei whale downsweep chirps. The source level distributions and pulse compression gains are essential for determining signal-to-noise ratios and hence detection regions for baleen whale vocalizations received passively on underwater acoustic sensing systems, as well as for assessing communication ranges in baleen whales.

show abstract

Section: Discussioncontrasting

confidence: 49%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Vocalization Source Level Distributions and Pulse Compression Gains of Diverse Baleen Whale Species in the Gulf of Maine

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Acoustic recordings exist from the North Atlantic, off the US east coast [54][55][56] and Nova Scotia, Canada [11,12], off the Azores [57], from Hawaii [58], south of New Zealand [59] and Antarctica [60]. There are no recordings of sei whales in Australian waters with simultaneous visual species identification.…”

Section: Balaenoptera Borealis-sei Whalementioning

confidence: 99%

Review of Underwater and In-Air Sounds Emitted by Australian and Antarctic Marine Mammals

et al. 2017

View full text Add to dashboard Cite

The study of marine soundscapes is a growing field of research. Recording hardware is becoming more accessible; there are a number of off-the-shelf autonomous recorders that can be deployed for months at a time; software analysis tools exist as shareware; raw or preprocessed recordings are freely and publicly available. However, what is missing are catalogues of commonly recorded sounds. Sounds related to geophysical events (e.g. earthquakes) and weather (e.g. wind and precipitation), to human activities (e.g. ships) and to marine animals (e.g. crustaceans, fish and marine mammals) commonly occur. Marine mammals are distributed throughout Australia's oceans and significantly contribute to the underwater soundscape. However, due to a lack of concurrent visual and passive acoustic observations, it is often not known which species produces which sounds. To aid in the analysis of Australian and Antarctic marine soundscape recordings, a literature review of the sounds made by marine mammals was undertaken. Frequency, duration and source level measurements are summarised and tabulated. In addition to the literature review, new marine mammal data are presented and include recordings from Australia of Omura's whales (Balaenoptera omurai), dwarf sperm whales (Kogia sima), common dolphins (Delphinus delphis), short-finned pilot whales (Globicephala macrorhynchus), long-finned pilot whales (G. melas), Fraser's dolphins (Lagenodelphis hosei), false killer whales (Pseudorca crassidens), striped dolphins (Stenella coeruleoalba) and spinner dolphins (S. longirostris), as well as the whistles and burst-pulse sounds of Australian pygmy killer whales (Feresa attenuata). To date, this is the most comprehensive acoustic summary for marine mammal species in Australian waters.

show abstract

“…An example of this advantage is reported by Newhall et al (2012) for tracking sei whales (Balaenoptera borealis) on the New Jersey shelf. The paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

Low-frequency broadband sound source localization using an adaptive normal mode back-propagation approach in a shallow-water ocean

Lin

Newhall

Lynch

2012

The Journal of the Acoustical Society of America

Self Cite

View full text Add to dashboard Cite

A variety of localization methods with normal mode theory have been established for localizing low frequency (below a few hundred Hz), broadband signals in a shallow water environment. Gauss-Markov inverse theory is employed in this paper to derive an adaptive normal mode backpropagation approach. Joining with the maximum a posteriori mode filter, this approach is capable of separating signals from noisy data so that the back-propagation will not have significant influence from the noise. Numerical simulations are presented to demonstrate the robustness and accuracy of the approach, along with comparisons to other methods. Applications to real data collected at the edge of the continental shelf off New Jersey, USA are presented, and the effects of water column fluctuations caused by nonlinear internal waves and shelfbreak front variability are discussed.

show abstract

Long distance passive localization of vocalizing sei whales using an acoustic normal mode approach

Cited by 32 publications

References 17 publications

Vocalization Source Level Distributions and Pulse Compression Gains of Diverse Baleen Whale Species in the Gulf of Maine

Vocalization Source Level Distributions and Pulse Compression Gains of Diverse Baleen Whale Species in the Gulf of Maine

Review of Underwater and In-Air Sounds Emitted by Australian and Antarctic Marine Mammals

Low-frequency broadband sound source localization using an adaptive normal mode back-propagation approach in a shallow-water ocean

Contact Info

Product

Resources

About