Enhanced morphodynamic river modelling for evaluation of flood protection works

用于评估防洪工程的增强型河流形态动力模型

• 批准号: 524502-2018
• 负责人: Rennie, Colin
• 金额: $ 4.59万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=691165
• 关键词: Enhanced; morphodynamic; river; modelling; evaluation

Since the catastrophic 2013 Alberta flood, the City of Calgary has been implementing river channel engineering works on the Bow River and Elbow River to protect infrastructure, minimize flood hazards, and improve fish habitat. The channel works have included bank protection, bar reshaping, and channel cutting. However, transport of sediment by rivers is complex, thus it is difficult to estimate the long-term consequences of these flood mitigation initiatives. In this research we will combine on-site field work, data analysis, and novel numerical modelling methods to address and resolve the flood mitigation and resiliency objectives of the City of Calgary. Specifically, we will develop, implement, and test new algorithms to predict both complex three-dimensional flow fields and bank erosion within the morphodynamic modelling software package Delft3D, which will allow for prediction of the long-term consequences of flood mitigation efforts. These improvements to Delft3D will be of use not only directly to the City of Calgary in its efforts to minimize flood hazard and improve fish habitat, but to river engineering researchers and management agencies worldwide.

自2013年阿尔伯塔发生灾难性洪水以来，卡尔加里市一直在弓河和肘河上实施河道工程，以保护基础设施，最大限度地减少洪水危害，并改善鱼类栖息地。 航道工程包括护岸、拦门沙整形和航道切割。然而，河流的沉积物运输是复杂的，因此很难估计这些防洪措施的长期后果。在这项研究中，我们将结合联合收割机现场实地工作，数据分析和新的数值模拟方法，以解决和解决卡尔加里市的防洪减灾和恢复力目标。具体来说，我们将开发，实施和测试新的算法来预测复杂的三维流场和银行侵蚀的形态动力学建模软件包Delft3D，这将允许预测的长期后果的防洪减灾工作。Delft3D的这些改进不仅将直接用于卡尔加里市减少洪水危害和改善鱼类栖息地的努力，而且还将用于世界各地的河流工程研究人员和管理机构。