Numerical study of underwater oil spill diffusion in complex hydrodynamic environments

Waves and currents are key dynamic factors that influence the diffusion of underwater oil spills. To study the behavior of such spills under complex hydrodynamic conditions, an oil spill diffusion numerical model was established and physically verified by model test data. The drift and diffusion of crude oil from seabed to surface under current, wave, and wave–current coupling conditions were analyzed. The results reveal that under the wave–current coupling condition, the oil spill diffusion exhibits the movement characteristics of oil particles influenced by both currents and waves. The oil particles oscillate with water particles while simultaneously diffusing in the direction of the water flow. The rising speed of oil droplets is fastest in still water but slows significantly under the influence of waves and currents. The shape of the oil slick at the leakage point is related to the hydrodynamic conditions. The oil slick diffuses vertically upwards in still water. While in current and wave conditions, it takes on “C” and “Z” shapes, respectively. Under the influence of the wave–current coupling, the slick spreads in an “S” shape. Moreover, the faster the oil spill, the more significant the entrainment effect, leading to an intensified lateral and vertical diffusion of the oil particles. These research findings offer valuable insights for tracking underwater oil spill trajectories during accidents.

Authors

Publication Details

Journal
Physics of Fluids
Published
2024-12-01
DOI
https://doi.org/10.1063/5.0243216
Primary Topic
Oil Spill Detection and Mitigation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical study of underwater oil spill diffusion in complex hydrodynamic environments

Daoru Wang, Xinran Ji, Yang Zhi-wen, X. Y. Lin et al.
Physics of Fluids
Oil Spill Detection and Mitigation
article

Numerical study of underwater oil spill diffusion in complex hydrodynamic environments

Daoru Wang, Xinran Ji, Yang Zhi-wen, X. Y. Lin, Li Zou, Shihao Wang
article en

Abstract

Waves and currents are key dynamic factors that influence the diffusion of underwater oil spills. To study the behavior of such spills under complex hydrodynamic conditions, an oil spill diffusion numerical model was established and physically verified by model test data. The drift and diffusion of crude oil from seabed to surface under current, wave, and wave–current coupling conditions were analyzed. The results reveal that under the wave–current coupling condition, the oil spill diffusion exhibits the movement characteristics of oil particles influenced by both currents and waves. The oil particles oscillate with water particles while simultaneously diffusing in the direction of the water flow. The rising speed of oil droplets is fastest in still water but slows significantly under the influence of waves and currents. The shape of the oil slick at the leakage point is related to the hydrodynamic conditions. The oil slick diffuses vertically upwards in still water. While in current and wave conditions, it takes on “C” and “Z” shapes, respectively. Under the influence of the wave–current coupling, the slick spreads in an “S” shape. Moreover, the faster the oil spill, the more significant the entrainment effect, leading to an intensified lateral and vertical diffusion of the oil particles. These research findings offer valuable insights for tracking underwater oil spill trajectories during accidents.

Physics of FluidsVol. 36(12)
National Natural Science Foundation of China, Ministry of Industry and Information Technology of the People's Republic of China, National Key Research and Development Program of China
Life below water
Openalex Percentile: Top 87%
Oil Spill Detection and Mitigation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.