Yangyang Xue
Zhejiang Ocean University
8 Papers
1 Citations
Yangyang Xue is an academic researcher from Zhejiang Ocean University. The author has contributed to research in topics: Geology & Inversion (geology). The author has an hindex of 2, co-authored 4 publications.
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Papers
Bayesian Inversion for Geoacoustic Parameters in Shallow Sea
TL;DR: Inversion results of the experimental data are in good agreement with both measured values and estimates from Genetic Algorithm inversion result in the same environment, and results indicate that the sound speed and density in the seabed have fewer uncertainties and are more sensitive to acoustic pressure than thesound speed attenuation.
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Characteristics of Very Low Frequency Sound Propagation in Full Waveguides of Shallow Water.
TL;DR: Based on the finite element method (FEM), and setting the sea bottom as an elastic medium, a proposed model which unifies the sea water and sea bottom is established, and the propagation characteristics in full waveguides of shallow water can be synchronously discussed.
9
Bayesian geoacoustic parameters inversion for multi-layer seabed in shallow sea using underwater acoustic field
TL;DR: In this paper , an inversion method based on Bayesian theory is presented to derive the structure and geoacoustic parameters of a layered seabed in a shallow sea, where the authors considered a layered elastic medium.
7
Inversion of shallow seabed structure and geoacoustic parameters with waveguide characteristic impedance based on Bayesian approach
TL;DR: In this article , a nonlinear Bayesian theory is used to invert the above geoacoustic parameters and analysis the uncertainty of the inversion results, which can accurately represent the seabed characteristics in the experimental sea area.
4
An Inversion Method for Shallow Water Geoacoustic Parameters Based on BIC Criterion
Yangyang Xue,Wenliang Wang,Hanhao Zhu,Guangxue Zheng,Cui Zhiqiang +4 more
- 14 Jul 2021
TL;DR: In this article, a geoacoustic parameters inversion method for shallow water based on Bayesian Information Criterion (BIC) is developed, where the BIC is introduced as the judgment basis to realize the optimal selection of the seabed model structure.
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