Adaptive mesh simulation of different scale flood inundation

不同规模洪水淹没的自适应网格模拟

• 批准号: EP/F030177/1
• 负责人: Qiuhua Liang
• 金额: $ 31.53万
• 依托单位: Newcastle University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2008
• 资助国家: 英国
• 起止时间: 2008 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FF030177%2F1
• 关键词: Adaptive; mesh; simulation; different; scale

Flood disasters, including coastal flooding and river inundation are a major threat to human life and assets. In the UK, a combination of climate change and increasing socio-economic vulnerability mean that the risk of flooding is expected to increase significantly during the 21st century unless the current policies for flood management and investment levels can be modified.The Flood Risk Management Research Consortium (FRMRC) has been funded by EPSRC and other government departments and agencies to improve understanding of the cause of flooding and to develop tools for flood risk management. The development and assessment of flood simulation tools has been one of the consortium's research topics. This proposal extends the work in FRMRC by proposing to assess and improve a computer model of flood flows that can adapt to local topography and obstruction, efficiently generating accurate solution even where the flow is very complex. This will mean that, for the first time, very accurate simulation can be applied at a range of different scales (from small to very large), including broad scale interactions of flood flow. This proposed project is consistent with the FRMRC research aims, yet is original in that this is the first time the adaptive model will be applied to simulate large-scale real world flood scenarios. The model will take advantages of modern numerical techniques including adaptive mesh methodologies for efficiency and accuracy, a local time step approach for efficiency, a simplified diffusion wave method for efficiency, and fully 2D shallow flow solution for accuracy. It will result in a robust, efficient and accurate numerical tool for flood simulation at different scales for a wide range of applications. Particularly, the model will allow simulation of very large scale flood inundation (e.g. the whole Thames Estuary area) whilst also resolving the effect of local flows at flood defences. This task is currently beyond most of the existing numerical tools as the scale of the floodplain is very large and the topographic features are complicated, including urban structures.The proposed project, involving further developing an existing adaptive quadtree grid based shallow flow model for flood simulation in different scales by including some model numerical techniques, will be completed in 3 years. The first two years of the project will focus on further developing and accessing the computer model. Problems related to scale effects, accuracy of approximations, etc. will be properly addressed. The efficiency, accuracy and robustness of the model will be confirmed by comparing with existing computer models for flood simulation recommended by FRMRC. In the last year, the improved computer model will be applied to predict future flood inundation scenarios in the whole Thames Estuary area due to extreme tidal conditions with different return periods, including broad scale interaction of flooding waves.The computer model resulted from this project can be used by engineers and researchers to predict flood risk in different situations and provide a reliable basis for improved flood risk assessment. Therefore this research will directly benefit engineering consultants and insurance business involving assessment and management of flood risk. The Environment Agency and local authorities will benefit in that larger scale flood simulation and related risk analysis resulting from this work will provide further information for better flood risk management and alleviation. This will in turn benefit the general public in terms of flood risk reduction and improved communication of flood risk.

洪水灾害，包括沿海洪水和河流泛滥，是对人类生命和财产的重大威胁。在英国，气候变化和日益增加的社会经济脆弱性的结合意味着，洪水的风险预计将大大增加，在21世纪世纪，除非目前的政策洪水管理和投资水平可以修改。由EPSRC和其他政府部门和机构资助，以提高对洪水原因的了解，并开发洪水风险管理工具。洪水模拟工具的开发和评估一直是该联盟的研究课题之一。该提案扩展了FRMRC的工作，提出评估和改进洪水流量的计算机模型，该模型可以适应当地地形和障碍，即使在流量非常复杂的情况下也能有效地生成准确的解决方案。这将意味着，第一次，非常准确的模拟可以应用在一系列不同的尺度（从小到大），包括洪水流量的大尺度相互作用。该项目符合FRMRC的研究目标，但具有独创性，因为这是第一次将自适应模型应用于模拟大规模真实的世界洪水情景。该模型将利用现代数值技术，包括自适应网格方法的效率和准确性，当地时间步长的效率，简化的扩散波方法的效率，和全二维浅水流解决方案的准确性。它将导致一个强大的，有效的和准确的数值工具，洪水模拟在不同的规模为广泛的应用。特别是，该模型将允许模拟非常大规模的洪水淹没（例如，整个泰晤士河口地区），同时也解决了当地流量对防洪的影响。由于洪泛区的规模非常庞大，地形特征复杂，包括城市结构，这项工作目前超出了大多数现有数值工具的能力。建议的项目涉及进一步开发一个基于自适应四叉树网格的浅水模型，以模拟不同尺度的洪水，包括一些模型数值技术，将在三年内完成。该项目的头两年将侧重于进一步开发和使用计算机模型。与尺度效应、近似值的准确性等有关的问题将得到适当的处理。通过与FRMRC推荐的现有洪水模拟计算机模型进行比较，证实该模型的效率、准确性和鲁棒性。在过去的一年中，改进的计算机模型将被应用于预测整个泰晤士河口地区未来的洪水淹没情景，由于不同重现期的极端潮汐条件，包括洪水波的大尺度相互作用，该项目产生的计算机模型可以被工程师和研究人员用于预测不同情况下的洪水风险，并为改进的洪水风险评估提供可靠的依据。因此，本研究将直接有益于工程咨询和保险业务涉及洪水风险评估和管理。环境局和地方当局将受益于这项工作产生的更大规模的洪水模拟和相关风险分析，这将为更好地管理和减轻洪水风险提供进一步的信息。这反过来又会使公众在减少洪水风险和改善洪水风险沟通方面受益。

项目成果

RKDG2 shallow-water solver on non-uniform grids with local time steps: Application to 1D and 2D hydrodynamics

• DOI: 10.1016/j.apm.2014.08.009
• 发表时间: 2015-02
• 期刊: Applied Mathematical Modelling
• 影响因子: 5
• 作者: G. Kesserwani;Q. Liang

A Godunov-type scheme for modelling 1D channel flow with varying width and topography

用于模拟具有不同宽度和地形的一维河道流的 Godunov 型方案

• DOI: 10.1016/j.compfluid.2010.12.009
• 发表时间: 2011
• 期刊: Computers & Fluids
• 影响因子: 2.8
• 作者: Alias N