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Hyper-resolution 1D-2D urban flood modelling using LiDAR data and hybrid parallelization

机译:使用LiDAR数据和混合并行化的超高分辨率1D-2D城市洪水建模

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Coupled 1D-2D modelling is a widely used approach to predict water movement in complicated surface and subsurface drainage systems in urban or peri-urban areas. In this study, a hybrid parallel code, H12, is developed for 1D-2D coupled urban flood modelling. Hybrid-1D-2D, or H12, enables street-resolving hyper-resolution simulation over a large area by combining Open Multi-Processing (OpenMP) and Message Passing Interface (MPI) parallelization. Variable grid sizing is adopted for detailed geometric representation of urban surfaces as well as efficient computation. To assess the capability of H12, simulation experiments were carried for the Johnson Creek Catchment (similar to 40 km(2)) in Arlington, Texas. The LiDAR-derived digital elevation model (DEM) and detailed land cover map at 1-m resolution are used to represent the terrain and urban features in flood modelling. Hybrid parallelization achieves up to a 79-fold reduction in simulation time compared to the serial run and is more efficient than either OpenMP or MPI alone especially in hyper-resolution simulations. (c) 2018 Elsevier Ltd. All rights reserved.
机译:耦合1D-2D建模是一种广泛用于预测城市或城郊地区复杂地表和地下排水系统中水运动的方法。在这项研究中,为1D-2D耦合城市洪水建模开发了混合并行代码H12。 Hybrid-1D-2D或H12通过结合开放式多处理(OpenMP)和消息传递接口(MPI)并行化,可以在大范围内进行街道解析超分辨率仿真。采用可变网格大小来进行城市表面的详细几何表示以及有效的计算。为了评估H12的能力,对德克萨斯州阿灵顿的Johnson Creek集水区(类似于40 km(2))进行了模拟实验。 LiDAR衍生的数字高程模型(DEM)和分辨率为1 m的详细土地覆盖图用于表示洪水建模中的地形和城市特征。与串行运行相比,混合并行化最多可将模拟时间减少79倍,并且比单独的OpenMP或MPI效率更高,尤其是在超分辨率模拟中。 (c)2018 Elsevier Ltd.保留所有权利。

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