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Numerical simulation of 2D real large scale floods on GPU: the Ebro River

机译:2D真正大规模洪水对GPU的数值模拟:埃布罗河

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Modern flood risk management and mitigation plans incorporate the presence of numerical models that are able to assess the response of the system and to help in the decision-making processes. The shallow water system of equations (SWE) is widely used to model free surface flow evolution in river flooding. Although 1D models are usually adopted when simulating long rivers due to their computational efficiency, 2D models approximate better the behaviour in floodplains of meandering rivers using a fine mesh which implies unaffordable computations in real-world applications. However, the advances on parallelization methods accelerate computation making 2D models competitive. In particular, GPU technology offers important speed-ups which allow fast simulations of large scale scenarios. In this work, an example of the scope of this technology is presented. Several past flood events have been modelled using GPU. The physical domain (middle part of the Ebro River in Spain) has a extent of 477 km~2, which gives rise to a large computational grid. The steps followed to carry out the numerical simulation are detailed, as well as the comparison between numerical results and observed flooded areas reaching coincidences up to 87.25 % and speed enhancements of 1-h of simulation time for 1-day flood event. These results lead to the feasible application of this numerical model in real-time simulation tools with accurate and fast predictions useful for flood management.
机译:现代洪水风险管理和缓解计划包含了能够评估系统响应并帮助决策过程的数值模型的存在。方程浅水系统(SWE)广泛用于在河流洪水中进行自由表面流动演变。尽管在模拟由于其计算效率而模拟长河流时通常采用1D型号,但是使用精细网格近似于更好的模型近似于蜿蜒河流洪泛平行中的行为,这意味着在现实世界应用中的不变化计算。然而,并行化方法的进步加速了计算制作2D模型的竞争力。特别是GPU技术提供了重要的速度,允许快速模拟大规模场景。在这项工作中,提出了该技术范围的示例。使用GPU建模了几个过去的洪水事件。物理领域(西班牙埃布罗河的中部)的程度为477 km〜2,导致大型计算网格。详细说明了执行数值模拟的步骤,以及数值结果与观察到的洪水区域之间的比较,达到87.25%的倍率,为1天洪水事件的仿真时间的速度增强。这些结果导致该数值模型在实时仿真工具中的可行应用,可用于洪水管理的准确性和快速预测。

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