Transport Processes in Inland and Coastal Waters

内陆和沿海水域的运输过程

• 批准号: RGPIN-2019-05776
• 负责人: Chu, Vincent
• 金额: $ 2.26万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=715353
• 关键词: Transport; Processes; Inland; Coastal; Waters

In an era of climate change and urban sprawl where flood damage to human life and property are occurring with increasing frequency, the renditions of catastrophic events by severe storms are still very much reliant on models, and these in turn depend on the expert deployment of computational resources. Our research has been focusing on the fronts between water/air masses of different density (Chu 2014; Karimpour Chu Wang PhD thesis 2016; Xie, Karimpour apturing method within the framework of the classical method (Ghanadi Karimpour Chu Chu and Altai 2018). Our research in the next five years will continue to focus on the modelling of turbulence and waves by simulation. Although a host of rapid advances in computational infrastructure currently have the potential to revolutionize engineering design and research, spurious oscillations and false diffusion have remained insurmountable obstacles. Our research plan will further develop our novel Lagrangian simulation codes for three-dimensional models that overcome these obstacles. We will also further develop our models of ocean currents and atmospheric wind, focusing on the brief and intense exchange at the "window of instability" that is believed to be associated with severe storms using the Lagrangian block simulation method. Our recent simulations of the wave force on a vertical seawall (Xie & Chu 2018a) and the force on coastal structures of finite width (Xie & Chu 2018b) were obtained using open-source codes. The considerable expertise that we acquired with the open-source-code repository tools will support our further studies of the classical method and the novel Lagrangian block simulation method.

在气候变化和城市扩张的时代，洪水对人类生命和财产的破坏越来越频繁，严重风暴对灾难性事件的再现仍然在很大程度上依赖于模型，而这些模型反过来又取决于计算资源的专业部署。我们的研究一直集中在不同密度的水/气团之间的前沿(Chu 2014；Karimpour Chu Wang博士论文2016；谢，Karimpour Chu Chu和阿拉泰2018)经典方法框架内的Karimpour捕获方法。未来五年，我们的研究将继续集中在湍流和波浪的模拟上。尽管计算基础设施的许多快速进步目前有可能给工程设计和研究带来革命性的变化，但虚假振荡和虚假扩散仍然是不可逾越的障碍。我们的研究计划将进一步开发我们针对三维模型的新型拉格朗日模拟代码，以克服这些障碍。我们还将进一步发展我们的洋流和大气风模型，重点是使用拉格朗日区块模拟方法，研究被认为与严重风暴有关的“不稳定窗口”的短暂和强烈的交换。我们最近对垂直海堤(谢和楚2018a)和有限宽海岸结构物(谢和楚2018b)上的波浪力的模拟是使用开放源代码获得的。我们用开源代码库工具获得的大量专业知识将支持我们对经典方法和新型拉格朗日块模拟方法的进一步研究。