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Bayesian Inversion for Geoacoustic Parameters in Shallow Sea.
Guangxue Zheng1, Hanhao Zhu2,3, Xiaohan Wang1,4,5
1College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China.
Sensors (Basel, Switzerland)
|April 16, 2020
Summary
This study uses Bayesian inversion to determine shallow sea geoacoustic parameters like density and sound speed. The method accurately estimates seabed properties and their uncertainties from acoustic pressure data.
Area of Science:
- Underwater acoustics
- Geophysics
- Oceanography
Background:
- Geoacoustic parameter inversion is vital for shallow sea environments.
- Accurate seabed property estimation is challenging but increasingly important.
Purpose of the Study:
- To investigate shallow sea geoacoustic parameters using a single-receiver Bayesian inversion method.
- To estimate seabed density, sound speed, and attenuation with quantitative uncertainty.
Main Methods:
- Utilized Bayesian theory with a single-receiver approach.
- Modeled acoustic pressure using the Fast Field Method (FFM).
- Employed Simulated Annealing (SA) for optimization and Gibbs Sampler (GS) for Posterior Probability Density (PPD) calculation.
Main Results:
- Bayesian inversion accurately estimated geoacoustic parameters, showing good agreement with experimental data and Genetic Algorithm (GA) results.
- Seabed sound speed and density were found to be more sensitive and less uncertain than sound speed attenuation.
- Sea noise minimally affected sensitive parameters, with PPD mean values reflecting true geoacoustic properties.
Conclusions:
- The Bayesian inversion method provides reliable estimation of shallow sea geoacoustic parameters.
- The method offers quantitative uncertainty estimates crucial for understanding seabed properties.
- Sound speed and density are key, sensitive parameters in shallow marine geoacoustic inversion.
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