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Published on: August 7, 2017
Three-dimensional ambient noise modeling in a submarine canyon
David R Barclay1, Ying-Tsong Lin2
1Department of Oceanography, Dalhousie University, 1355 Oxford Street, Halifax, Nova Scotia, B3H 4R2, Canada.
This study simplifies vertical noise coherence calculations in ocean environments using a normal mode model. Excluding non-identical mode numbers improves computational efficiency without sacrificing accuracy in underwater acoustics.
Area of Science:
- Ocean Acoustics
- Underwater Noise Modeling
Background:
- Vertical noise coherence is crucial for understanding sound propagation in marine environments.
- Previous models often require complex computations for three-dimensional (3D) environments.
Purpose of the Study:
- To develop and validate a simplified quasi-analytical model for computing vertical noise coherence.
- To investigate the impact of bathymetry, specifically Gaussian canyons, on noise coherence.
- To compare different acoustic propagation models for noise coherence calculations.
Main Methods:
- Utilized a quasi-analytical 3D normal mode model for longitudinally invariant environments.
- Modified modal decomposition by excluding non-identical mode numbers to simplify calculations.
- Employed full 3D and Nx2D parabolic equation (PE) sound propagation models.
- Analyzed noise cross-spectral density and cross-modal amplitudes.
Main Results:
- A simplified normal mode model effectively computes vertical noise coherence.
- Gaussian canyon bathymetry can generate horizontally trapped modes.
- Parabolic equation models confirm the focusing effect of bathymetry on the noise field.
- Accounting for out-of-plane propagation increases absolute vertical noise coherence and shifts frequency zero-crossings.
Conclusions:
- The simplified normal mode model offers an efficient method for calculating vertical noise coherence.
- Bathymetry significantly influences underwater noise fields, particularly in canyon environments.
- Out-of-plane propagation is essential for accurate noise coherence predictions in complex ocean acoustics.
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