China Ocean Engineering

, Volume 32, Issue 1, pp 99–109 | Cite as

Mechanistic Drifting Forecast Model for A Small Semi-Submersible Drifter Under Tide–Wind–Wave Conditions

  • Wei-Na Zhang
  • Hui-ming Huang
  • Yi-gang Wang
  • Da-ke Chen
  • lin Zhang
Article

Abstract

Understanding the drifting motion of a small semi-submersible drifter is of vital importance regarding monitoring surface currents and the floating pollutants in coastal regions. This work addresses this issue by establishing a mechanistic drifting forecast model based on kinetic analysis. Taking tide–wind–wave into consideration, the forecast model is validated against in situ drifting experiment in the Radial Sand Ridges. Model results show good performance with respect to the measured drifting features, characterized by migrating back and forth twice a day with daily downwind displacements. Trajectory models are used to evaluate the influence of the individual hydrodynamic forcing. The tidal current is the fundamental dynamic condition in the Radial Sand Ridges and has the greatest impact on the drifting distance. However, it loses its leading position in the field of the daily displacement of the used drifter. The simulations reveal that different hydrodynamic forces dominate the daily displacement of the used drifter at different wind scales. The wave-induced mass transport has the greatest influence on the daily displacement at Beaufort wind scale 5–6; while wind drag contributes mostly at wind scale 2–4.

Keywords

in situ drifting experiment mechanistic drifting forecast model tide–wind–wave coupled conditions small semi-submersible drifter daily displacement 

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Notes

Acknowledgements

The authors would like to thank Prof. DING Xian-rong for his contribution to the field experiment. Wind data used in this study were provided by the experiment center of the College of Harbor, Coastal and Offshore Engineering, Hohai University.

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Copyright information

© Chinese Ocean Engineering Society and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Wei-Na Zhang
    • 1
    • 2
  • Hui-ming Huang
    • 1
    • 2
  • Yi-gang Wang
    • 1
    • 2
  • Da-ke Chen
    • 1
    • 2
  • lin Zhang
    • 1
    • 2
  1. 1.Key Laboratory of Coastal Disaster and Defence, Ministry of EducationHohai UniversityNanjingChina
  2. 2.College of Harbour, Coastal and offshore EngineeringHohai UniversityNanjingChina

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