An Eulerian-Lagrangian Model for the Prediction of Ice Hazards in Shallow Waters

预测浅水冰灾的欧拉-拉格朗日模型

• 批准号: 8707087
• 负责人: Michael Bruno
• 金额: --
• 依托单位: New Jersey Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1987
• 资助国家: 美国
• 起止时间: 1987-06-01 至 1989-09-01
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8707087&HistoricalAwards=false
• 关键词: Eulerian; Lagrangian; Model; Prediction; Ice

The objective of this work is to develop a short-term (in the order of days) ice hazard warning system for shallow, partially ice-covered waters. This system will vastly improve the present capability of accurately predicting the movement of individual ice floes, while retaining sufficient numerical efficiency so as to facilitate its use on small, e.g., shipborne, computers. The formulation of this system will couple the ice floe motion and the underlying water circulation, and will apply the Eulerian-Lagrangian concept of transport modelling to ice drift prediction. A detailed investigation of the range and variation of the drag coefficients at the ice surface and bottom will be carried out as well, so as to establish guidelines for estimating these coefficients under a variety of environmental conditions and for a range of ice floe characteristics.

这项工作的目标是为浅层、部分冰覆盖的水域开发一个短期（以天为单位）的冰灾预警系统。 该系统将极大地提高目前准确预测单个浮冰运动的能力，同时保持足够的数值效率，以便于其在小型计算机（例如船载计算机）上的使用。 该系统的制定将耦合浮冰运动和底层水循环，并将输运模型的欧拉-拉格朗日概念应用于冰漂流预测。 还将对冰面和底部阻力系数的范围和变化进行详细研究，以便为在各种环境条件下和一系列浮冰特征下估计这些系数建立指南。