Abstract
In this study, the coastal acoustic tomography (CAT)
technology was utilized to perform an initial investigation into the observation of underwater small-scale dynamic processes. An underwater monitoring experiment using a CAT network was conducted with four stations at Huangcai Reservoir in Hunan, China. Ray acoustic simulations were employed to match the simulated ray paths of the vertical profile of each pair
of transducers to the two identified times of flights (TOFs). To visualize flow field fluctuations caused by the underwater small-scale dynamic processes, an autonomous underwater vehicle (AUV) was deployed to navigate within the observation area. Three-dimensional inversion techniques were used for multilayer analyses of the underwater horizontal flow field in the region.
The AUV cruising layer’s flow field was mapped and showed consistency with acoustic Doppler current profiler (ADCP) data.
The velocity data recorded by the ADCP and CAT were 0.87 and 0.82 m/s, respectively, as the AUV passed by. Additionally, the results were validated through the comparison of range-average current measurements and the net inflow error. This study illustrates that the 3-D CAT mapping method can effectively reconstruct the 3-D flow field, facilitating the observation of underwater small-scale dynamic processes.
technology was utilized to perform an initial investigation into the observation of underwater small-scale dynamic processes. An underwater monitoring experiment using a CAT network was conducted with four stations at Huangcai Reservoir in Hunan, China. Ray acoustic simulations were employed to match the simulated ray paths of the vertical profile of each pair
of transducers to the two identified times of flights (TOFs). To visualize flow field fluctuations caused by the underwater small-scale dynamic processes, an autonomous underwater vehicle (AUV) was deployed to navigate within the observation area. Three-dimensional inversion techniques were used for multilayer analyses of the underwater horizontal flow field in the region.
The AUV cruising layer’s flow field was mapped and showed consistency with acoustic Doppler current profiler (ADCP) data.
The velocity data recorded by the ADCP and CAT were 0.87 and 0.82 m/s, respectively, as the AUV passed by. Additionally, the results were validated through the comparison of range-average current measurements and the net inflow error. This study illustrates that the 3-D CAT mapping method can effectively reconstruct the 3-D flow field, facilitating the observation of underwater small-scale dynamic processes.
| Original language | English |
|---|---|
| Article number | 4208809 |
| Pages (from-to) | 1-9 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Geoscience and Remote Sensing |
| Volume | 63 |
| Issue number | 4208809 |
| Publication status | Published - 26 Jun 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- 3-D
- coastal acoustic tomography (CAT)
- small scale
- underwater dynamic process
- inverse problem
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