A coarse-grid approach to representing building blockage effects in 2D urban flood modelling
A coarse-grid approach to representing building blockage effects in 2D urban flood modelling
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DOI：
10.1016/j.jhydrol.2012.01.007
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发表时间：
2012-03-21
影响因子：
6.4
通讯作者：
Savic, Dragan A.
中科院分区：
文献类型：
--
作者：
Chen, Albert S.;Evans, Barry;Savic, Dragan A.
最新的信息和通信技术已使用高质量的地形数据在城市地区实现了洪水建模，以模拟当地地区的详细流动动态。但是，随着分辨率的精力，计算成本呈指数增长。计算硬件的进步仍然是大规模区域或风险/不确定性分析建模的限制因素，并以精细分辨率描述了建筑物特征的细节。网格变形是减少2D洪水建模的计算工作的直接方法。传统的栅格粗化方法通常将细网格的平均海拔作为粗网格的新地形模型。这种方法通常会导致信息丢失，从而引入建模错误。在这项研究中，使用建筑物覆盖率（BCR）和2D模型中的运输率降低因子（CRF）参数提取了粗网格中的建筑物，以模拟城市地区的洪水。 20个案例研究的结果表明，提出的模型可以最大程度地减少由于地形平均而引起的错误，并以略有增加的计算成本提供了更好的准确性。 Crown版权（C）2012年由Elsevier B.V.保留所有权利。
The latest information and communications technology has enabled flood modelling in urban areas using high quality terrain data to simulate the detailed flow dynamics in local areas. However, the computational cost rises exponentially as the resolution goes finer. The advance of computing hardware is still a limiting factor for large-scale area or risk/uncertainty analysis modelling with fine resolution that describes the details of building features. Grid coarsening is the straightforward way to reduce the computing efforts for 2D flood modelling. The traditional approach to grid coarsening usually takes the average elevation of a fine grid as the new terrain model for the coarse grid. This approach often results in loss of information that introduces errors to modelling. In this study, the building features in coarse grids were abstracted using the building coverage ratio (BCR) and the conveyance reduction factor (CRF) parameters in a 2D model to simulate flooding in urban areas. The outcome of 20 case studies showed the proposed model can minimise the errors due to terrain averaging and provide a much better accuracy of modelling results at a marginally increased computing cost. Crown Copyright (C) 2012 Published by Elsevier B.V. All rights reserved.