Excellence in Research: The study of dynamics of an atmospheric boundary layer laden with polydisperse spray under high-wind conditions of a hurricane

卓越研究：飓风大风条件下充满多分散喷雾的大气边界层动力学研究

• 批准号: 2302221
• 负责人: Yevgeniy Rastigeyev
• 金额: $ 57.73万
• 依托单位: North Carolina Agricultural & Technical State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2302221&HistoricalAwards=false
• 关键词: Excellence; Research; study; dynamics; atmospheric

Predicting hurricane intensity is a very challenging task because it requires an in-depth understanding of complex multi-scale phenomena governing hurricane motion. Past research has demonstrated that the ocean spray effects on hurricane dynamics depend strongly on the size of spray droplets. Therefore, the PI will focus on developing a comprehensive mathematical framework and its numerical implementation to accurately model the polydisperse ocean spray effect on the vertical fluxes of momentum and heat in a hurricane boundary layer. This will aid in improving the accuracy of hurricane forecasts, which in turn will help minimize property damage and loss of human life. The research project will also allow North Carolina A&T State University, a state-supported HBCU, to sustain and expand recently established new research and educational capacity in applied mathematics and scientific computing with applications to atmospheric multiphase turbulent flows. Specifically, the PI will expand the currently existing mathematical model of a hurricane boundary layer laden with ocean spray by accurately accounting for spray polydispersity. The developed model will be used to conduct a comprehensive parametric study of its effect on the dynamics of the marine atmospheric boundary layer in high-wind hurricane conditions. To fill the current gap in understanding spray polydispersity's influence the PI plans to employ a modern theory of turbulent disperse multiphase flows and the Eulerian multi-fluid approach. This approach considers groups of droplets of different sizes, air, and water vapor as separate interacting turbulent continua, each described by its own set of conservation laws and characterized by its own velocity, temperature, and turbulent kinetic energy distributions. The conservation laws for polydisperse spray will be presented in the form of population balance equations. In particular, the method will consistently account for droplet breaking/coalescence and evaporation/condensation dynamics. Combining this method with a higher-order multi-fluid turbulence model will enable the PI to accurately predict the influence of polydisperse ocean spray on hurricane dynamics and structure.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

预测飓风强度是一项非常具有挑战性的任务，因为它需要深入了解飓风运动的复杂多规模现象。过去的研究表明，海洋喷雾对飓风动态的影响很大程度上取决于喷雾液滴的大小。因此，PI将着重于开发一个全面的数学框架及其数值实现，以准确地对飓风边界层中动量和热量的垂直通量的多分散海洋喷雾效应进行建模。这将有助于提高飓风预测的准确性，进而有助于最大程度地减少财产损失和人类生命的损失。该研究项目还将允许北卡罗来纳州A＆T州立大学（一项由州支持的HBCU）维持和扩展最近在应用数学和科学计算中建立了新的研究和教育能力，并应用于大气多相湍流。具体而言，PI将通过准确考虑喷雾多分散性来扩展带有海洋喷雾剂的飓风边界层的当前现有数学模型。开发的模型将用于对其对海洋大气边界层在高风向飓风条件下的动态的影响进行全面的参数研究。为了填补当前的差距，PI计划采用现代的湍流分散多相流和Eulerian多流体方法，PI计划采用现代化的PI的影响。这种方法将不同尺寸，空气和水蒸气的液滴组视为单独的相互作用的湍流连续图，每种液滴都由其自身的保护诉讼进行描述，并以其自身的速度，温度和湍流的动能分布为特征。多分散喷雾的保护法将以人口平衡方程的形式介绍。特别是，该方法将始终如一地解释液滴断裂/合并和蒸发/冷凝动力学。 将此方法与高阶多流体湍流模型相结合，将使PI准确地预测多分散海洋喷雾对飓风动力和结构的影响。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的评估来通过评估来支持的智力优点和更广泛的影响审查标准。