Numerical Simulation Study on the Movement Characteristics of Plumes in Marine Mining

The prediction of deep-sea mining sediment plumes is essential for assessing and mitigating the environmental impacts on vulnerable deep-sea ecosystems. In this paper, the numerical simulation method is adopted to predict the sediment plume transportation. Fluid dynamics are governed by the incompressible Navier–Stokes equations, coupled with the Standard k–ε turbulence model to capture turbulent diffusion. The air–water free surface is tracked by a high-resolution Volume of Fluid (VOF) method. The pressure–velocity coupling utilizes the PISO algorithm. Sediment transport is governed by the advection–diffusion equation. The mathematical model is validated through experiments. There is a good consistency between the experiment results and the numerical results, which proves that the numerical method can be applied. The study calculates the diffusion range and characteristics of plumes under different free stream velocities, injection velocities and discharge densities. The results indicate that an increase in free stream velocity enhances the development of turbulence, but conversely restricts the expansion of the mixing zone between the plume and the ambient water. A greater injection velocity leads to a wider distribution range of the plume, while inhibiting the development of local turbulence. A higher plume discharge density results in a larger horizontal distribution range, while hindering the effective mixing between the plume and the ambient water body.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2025-12-24
DOI
https://doi.org/10.3390/jmse14010039
Primary Topic
Oil Spill Detection and Mitigation
Type
article
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article

Numerical Simulation Study on the Movement Characteristics of Plumes in Marine Mining

Chaohui Nie, H. D. Li, Yicheng Zhang, Yang Wang et al.
Journal of Marine Science and Engineering
Oil Spill Detection and Mitigation
article

Numerical Simulation Study on the Movement Characteristics of Plumes in Marine Mining

Chaohui Nie, H. D. Li, Yicheng Zhang, Yang Wang, Enjin Zhao
article en

Abstract

The prediction of deep-sea mining sediment plumes is essential for assessing and mitigating the environmental impacts on vulnerable deep-sea ecosystems. In this paper, the numerical simulation method is adopted to predict the sediment plume transportation. Fluid dynamics are governed by the incompressible Navier–Stokes equations, coupled with the Standard k–ε turbulence model to capture turbulent diffusion. The air–water free surface is tracked by a high-resolution Volume of Fluid (VOF) method. The pressure–velocity coupling utilizes the PISO algorithm. Sediment transport is governed by the advection–diffusion equation. The mathematical model is validated through experiments. There is a good consistency between the experiment results and the numerical results, which proves that the numerical method can be applied. The study calculates the diffusion range and characteristics of plumes under different free stream velocities, injection velocities and discharge densities. The results indicate that an increase in free stream velocity enhances the development of turbulence, but conversely restricts the expansion of the mixing zone between the plume and the ambient water. A greater injection velocity leads to a wider distribution range of the plume, while inhibiting the development of local turbulence. A higher plume discharge density results in a larger horizontal distribution range, while hindering the effective mixing between the plume and the ambient water body.

Journal of Marine Science and EngineeringVol. 14(1)
China Geological Survey (CN), Naval University of Engineering (CN), China University of Geosciences (CN), Shenzhen Research Institute of China University of Geosciences (CN), Wuhan Ship Development & Design Institute (CN), Ocean University of China (CN)
Life below water
Openalex Percentile: Top 50%
Oil Spill Detection and Mitigation
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