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Environmental inversion using dispersion tracking in a shallow water environment.

Zoi-Heleni Michalopoulou1, Nattapol Aunsri2

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Summary
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This study demonstrates sediment sound speed inversion using dispersion tracking with particle filtering on real ocean data. The method accurately estimates sediment properties and water depth in the Gulf of Mexico.

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Area of Science:

  • Ocean acoustics
  • Geophysical inversion
  • Signal processing

Background:

  • Previous studies showed synthetic data feasibility for sediment sound speed inversion using dispersion tracking and particle filtering.
  • Dispersion tracking analyzes how sound wave speed varies with frequency to infer subsurface properties.

Purpose of the Study:

  • To apply dispersion tracking with particle filtering to real ocean data for sediment sound speed and thickness estimation.
  • To determine water column depth using acoustic propagation data.

Main Methods:

  • Collected acoustic data in the Gulf of Mexico.
  • Tracked dispersion curves from long-range sound propagation, accounting for modal frequencies and group velocities.
  • Utilized sequential filtering and inversion techniques on noisy data.
  • Obtained probability density functions for unknown parameters.

Main Results:

  • Successfully tracked dispersion curves despite noisy data.
  • Estimated water column depth with high accuracy and low uncertainty.
  • Derived sediment sound speed values consistent with sandy sediment characteristics.
  • Obtained sediment thickness estimates largely in agreement with prior knowledge.

Conclusions:

  • Dispersion tracking with particle filtering is effective for sediment property inversion using real ocean acoustic data.
  • The method provides reliable estimates for sediment sound speed, thickness, and water column depth.
  • This approach offers a valuable tool for marine sediment characterization.