Dataset for: The choice of droplet size probability distribution function for oil spill modeling is not trivial

The droplet size distribution (DSD) formed by gas-saturated oil jets is one of the most important characteristics of the flow to understand and model the fate of uncontrolled deep-sea oil spills. The shape of the DSD, generally modeled as a theoretical lognormal, Rosin-Rammler or non-fundamental distribution function, defines the size and the mass volume range of the droplets. Yet, the fundamental DSD shape has received much less attention than the volume median size (d50) and range of the DSD during ten years of research following the Deepwater Horizon (DWH) blowout. To better understand the importance of the distribution function of the droplet size we compare the oil rising time, surface oil mass, and sedimented and beached masses for different DSDs derived from the DWH literature in idealized and applied conditions, while keeping d50 constant. We highlight substantial differences, showing that the probability distribution function of the DSD for far-field modeling is, regardless of the d50, consequential for oil spill response. This research was made possible by a grant from the Gulf of Mexico Research Initiative (GoMRI) C-IMAGE III and RECOVER2 Consortia. This dataset supports the publication: Faillettaz, R., Paris, C. B., Vaz, A. C., Perlin, N., Aman, Z. M., Schlüter, M., & Murawski, S. A. (2021). The choice of droplet size probability distribution function for oil spill modeling is not trivial. Marine Pollution Bulletin, 163, 111920. doi:10.1016/j.marpolbul.2020.111920

由含气油射流形成的液滴尺寸分布（droplet size distribution, DSD）是理解并建模失控深海溢油归宿的关键流动特性之一。液滴尺寸分布的形态通常以对数正态、罗辛-拉姆勒（Rosin-Rammler）或非本征分布函数进行理论拟合，其决定了液滴的尺寸区间与质量体积范围。然而，自深水地平线（Deepwater Horizon, DWH）井喷事故后的十年研究中，学界对液滴尺寸分布本征形态的关注程度，远低于对其体积中值粒径（d50）与分布范围的研究。为更深入地阐明液滴尺寸分布函数的重要性，本研究在保持体积中值粒径（d50）恒定的前提下，对比了源自DWH事故相关文献、在理想化与实际应用场景下得到的不同液滴尺寸分布对应的油滴上浮时间、海面油质量以及沉降与岸滩附着质量。研究结果凸显了显著差异，表明远场建模中液滴尺寸分布的概率密度函数，无论体积中值粒径（d50）取值如何，均对溢油响应策略具有重要影响。本研究依托墨西哥湾研究倡议（Gulf of Mexico Research Initiative, GoMRI）的C-IMAGE III与RECOVER2联合研究项目资助完成。本数据集支撑以下发表成果：Faillettaz, R., Paris, C. B., Vaz, A. C., Perlin, N., Aman, Z. M., Schlütter, M., & Murawski, S. A. (2021). 溢油建模中液滴尺寸概率分布函数的选择并非易事。《海洋污染通报》, 163, 111920. doi:10.1016/j.marpolbul.2020.111920