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油滴因不规则波输运:大尺度扩展系数的发展。

Oil droplets transport due to irregular waves: Development of large-scale spreading coefficients.

机构信息

Center for Natural Resources Development and Protection, Department of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ 07102, United States.

Center for Natural Resources Development and Protection, Department of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ 07102, United States.

出版信息

Mar Pollut Bull. 2016 Mar 15;104(1-2):279-89. doi: 10.1016/j.marpolbul.2016.01.007. Epub 2016 Jan 12.

Abstract

The movement of oil droplets due to waves and buoyancy was investigated by assuming an irregular sea state following a JONSWAP spectrum and four buoyancy values. A technique known as Wheeler stretching was used to model the movement of particles under the moving water surface. In each simulation, 500 particles were released and were tracked for a real time of 4.0 h. A Monte Carlo approach was used to obtain ensemble properties. It was found that small eddy diffusivities that decrease rapidly with depth generated the largest horizontal spreading of the plume. It was also found that large eddy diffusivities that decrease slowly with depth generated the smallest horizontal spreading coefficient of the plume. The increase in buoyancy resulted in a decrease in the horizontal spreading coefficient, which suggests that two-dimensional (horizontal) models that predict the transport of surface oil could be overestimating the spreading of oil.

摘要

研究了由于波浪和浮力引起的油滴运动,假设不规则的海浪状态遵循 JONSWAP 谱和四个浮力值。采用一种称为惠勒拉伸的技术来模拟在运动水面下颗粒的运动。在每次模拟中,释放 500 个粒子,并对其进行 4.0 小时的实时跟踪。采用蒙特卡罗方法获得整体特性。结果表明,小涡扩散率随深度迅速减小会导致羽流的水平扩展最大。还发现,大涡扩散率随深度缓慢减小会导致羽流的水平扩展系数最小。浮力的增加导致水平扩展系数的减小,这表明预测表面油传输的二维(水平)模型可能高估了油的扩散。

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