Li Zhengkai, Spaulding Malcolm L, French-McCay Deborah
RPS ASA, 55 Village Square Drive, South Kingstown, RI 02879, USA; PureLine Treatment Systems, 1241 N. Ellis Street, Bensenville, IL 60106, USA.
Ocean Engineering, University of Rhode Island, Narragansett, RI 02882, USA.
Mar Pollut Bull. 2017 Jun 15;119(1):145-152. doi: 10.1016/j.marpolbul.2017.03.048. Epub 2017 Mar 29.
A surface oil entrainment model and droplet size model have been developed to estimate the flux of oil under surface breaking waves. Both equations are expressed in dimensionless Weber number (We) and Ohnesorge number (Oh, which explicitly accounts for the oil viscosity, density, and oil-water interfacial tension). Data from controlled lab studies, large-scale wave tank tests, and field observations have been used to calibrate the constants of the two independent equations. Predictions using the new algorithm compared well with the observed amount of oil removed from the surface and the sizes of the oil droplets entrained in the water column. Simulations with the new algorithm, implemented in a comprehensive spill model, show that entrainment rates increase more rapidly with wind speed than previously predicted based on the existing Delvigne and Sweeney's (1988) model, and a quasi-stable droplet size distribution (d<~50μm) is developed in the near surface water.
已开发出一种表层油夹带模型和液滴尺寸模型，用于估算表面破碎波作用下的油通量。这两个方程均以无量纲韦伯数（We）和奥内佐格数（Oh，该数明确考虑了油的粘度、密度和油水界面张力）表示。来自受控实验室研究、大型波浪水槽试验和现场观测的数据已用于校准这两个独立方程的常数。使用新算法的预测结果与从表面去除的油的观测量以及水柱中夹带的油滴尺寸相比吻合良好。在综合溢油模型中实施的新算法模拟结果表明，夹带率随风速的增加比基于现有德尔维涅和斯威尼（1988年）模型先前预测的速度更快，并且在近表层水中形成了准稳定的液滴尺寸分布（d<~50μm）。
