Influence of Bottom Refraction on the Propagation of Underwater Sound

1986 ◽  
pp. 67-73 ◽  
Author(s):  
J. Miller ◽  
A. Nagl ◽  
H. Überall
Keyword(s):  
Underwater Sound

Predictability of Deterministic Underwater Sound Fields

1993 ◽  
Author(s):  
Michael G. Brown ◽  
Frederick D. Tappert
Keyword(s):  
Underwater Sound ◽  
Sound Fields

Response of the Lungs to Low Frequency Underwater Sound.

1994 ◽  
Author(s):  
Peter H. Rogers ◽  
Gary W. Caille ◽  
Thomas N. Lewis
Keyword(s):  
Low Frequency ◽  
Underwater Sound

Collaborating Ray Tracing and AI Model for AUV-Assisted 3-D Underwater Sound-Speed Inversion

2021 ◽  
pp. 1-19
Author(s):  
Wei Huang ◽  
Mingliu Liu ◽  
Deshi Li ◽  
Feng Yin ◽  
Haole Chen ◽  
...  
Keyword(s):  
Ray Tracing ◽  
Sound Speed ◽  
Underwater Sound

scholarly journals Underwater sound levels in the Canadian Arctic, 2014–2019

2021 ◽  
Vol 168 ◽  
pp. 112437
Author(s):  
William D. Halliday ◽  
David Barclay ◽  
Amanda N. Barkley ◽  
Emmanuelle Cook ◽  
Jackie Dawson ◽  
...  
Keyword(s):  
Canadian Arctic ◽  
Underwater Sound ◽  
Sound Levels

scholarly journals A Reference Spectrum Model for Estimating Source Levels of Marine Shipping Based on Automated Identification System Data

2021 ◽  
Vol 9 (4) ◽  
pp. 369 ◽  
Author(s):  
Alexander MacGillivray ◽  
Christ de Jong
Keyword(s):  
Objective Assessment ◽  
Noise Pollution ◽  
Specific Reference ◽  
Identification System ◽  
Reference Spectrum ◽  
Underwater Sound ◽  
The North ◽  
Joint Monitoring ◽  
Source Level ◽  
Spectrum Model

Underwater sound mapping is increasingly being used as a tool for monitoring and managing noise pollution from shipping in the marine environment. Sound maps typically rely on tracking data from the Automated Information System (AIS), but information available from AIS is limited and not easily related to vessel noise emissions. Thus, robust sound mapping tools not only require accurate models for estimating source levels for large numbers of marine vessels, but also an objective assessment of their uncertainties. As part of the Joint Monitoring Programme for Ambient Noise in the North Sea (JOMOPANS) project, a widely used reference spectrum model (RANDI 3.1) was validated against statistics of monopole ship source level measurements from the Vancouver Fraser Port Authority-led Enhancing Cetacean Habitat and Observation (ECHO) Program. These validation comparisons resulted in a new reference spectrum model (the JOMOPANS-ECHO source level model) that retains the power-law dependence on speed and length but incorporates class-specific reference speeds and new spectrum coefficients. The new reference spectrum model calculates the ship source level spectrum, in decidecade bands, as a function of frequency, speed, length, and AIS ship type. The statistical uncertainty (standard deviation of the deviation between model and measurement) in the predicted source level spectra of the new model is estimated to be 6 dB.

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