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No Access Submitted: 25 August 2011 Accepted: 27 January 2012 Published Online: 12 April 2012

  • Bayesian geoacoustic inversion using wind-driven ambient noise

The Journal of the Acoustical Society of America 131, 2658 (2012); https://doi.org/10.1121/1.3688482
Jorge E. Quijanoa), Stan E. Dosso, and Jan Dettmer
  • School of Earth and Ocean Sciences, University of Victoria, 3800 Finnerty Road, Victoria, British Columbia V8P 5C2, Canada
    • Lisa M. Zurk and Martin Siderius
  • Northwest Electromagnetics and Acoustics Research Laboratory, Portland State University, 1900 SW 4th Avenue, Portland, Oregon 97201
    • Chris H. Harrison
  • NATO Undersea Research Centre, Viale San Bartolomeo 400, 19126 La Spezia, Italy
    • more...View Affiliations
    View Contributors
    • Jorge E. Quijano
    • Stan E. Dosso
    • Jan Dettmer
    • Lisa M. Zurk
    • Martin Siderius
    • Chris H. Harrison
    ABSTRACT
    This paper applies Bayesian inversion to bottom-loss data derived from wind-driven ambient noise measurements from a vertical line array to quantify the information content constraining seabed geoacoustic parameters. The inversion utilizes a previously proposed ray-based representation of the ambient noise field as a forward model for fast computations of bottom loss data for a layered seabed. This model considers the effect of the array’s finite aperture in the estimation of bottom loss and is extended to include the wind speed as the driving mechanism for the ambient noise field. The strength of this field relative to other unwanted noise mechanisms defines a signal-to-noise ratio, which is included in the inversion as a frequency-dependent parameter. The wind speed is found to have a strong impact on the resolution of seabed geoacoustic parameters as quantified by marginal probability distributions from Bayesian inversion of simulated data. The inversion method is also applied to experimental data collected at a moored vertical array during the MAPEX 2000 experiment, and the results are compared to those from previous active-source inversions and to core measurements at a nearby site.

    ACKNOWLEDGMENTS

    The authors gratefully acknowledge the support of the Office of Naval Research postdoctoral fellowship and the Ocean Acoustics Program (ONR-OA Code 32). We also would also like to acknowledge the NATO Undersea Research Centre for providing the MAPEX2000bis data and Dr. Charles W. Holland for providing the core measurements.

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