Multi-layer flow field mapping in a small-scale shallow water reservoir by coastal acoustic tomography

Haocai Huang, Xinyi Xie, Yixin Gao, Shijie Xu, Min Zhu, Zhengliang Hu, Pan Xu, Guangming Li, Yong Guo*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Long-term, high-precision and spatiotemporal observation of current structure in small-scale waters is important for underwater research and water resources management. In this paper, a reciprocal sound transmission experiment was conducted using three Coastal Acoustic tomography (CAT) systems within 300 m spacing in Huangcai reservoir, Hunan, China from 14 to 16, Sep 2020. The multi-arrival reciprocal paths between each pair of stations were identified with the help of ray simulation. 3-D CAT data which penetrated the full depth of water were obtained. The flow field along vertical slice were mapped and showed consistency with Acoustic Doppler Current Profiler (ADCP) and Temperature Depth (TD) data. A standard deviation of 0.73 m/s at the bottom layer were observed, indicating strong bottom flows in the reservoir. Furthermore, to visualize the strong bottom flow, the horizontal flow fields in the bottom layer were mapped by 3-D inversion technique. The feasibility of the technique was validated by three measures: 1) comparison between range average current and horizontal flow field; 2) Uncertainty analysis; 3) Check net volume transport. This work proves the CAT combined with 3-D inversion technique has the potentials to provide real-time 3-D current data for water researches.

Original languageEnglish
Article number128996
JournalJournal of Hydrology
Volume617
DOIs
Publication statusPublished - Feb 2023
Externally publishedYes

Keywords

  • 3-D
  • Coastal acoustic tomography
  • Inverse problem
  • Multi-layer flow filed
  • Small-scale

Fingerprint

Dive into the research topics of 'Multi-layer flow field mapping in a small-scale shallow water reservoir by coastal acoustic tomography'. Together they form a unique fingerprint.

Cite this