An integrated framework for high-resolution urban flood modelling considering multiple information sources and urban features
An integrated framework for high-resolution urban flood modelling considering multiple information sources and urban features
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DOI：
10.1016/j.envsoft.2018.06.010
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发表时间：
2018-09
期刊：
影响因子：
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通讯作者：
Yuntao Wang;Albert S. Chen;G. Fu;S. Djordjević;Chi Zhang;D. Savić
中科院分区：
文献类型：
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作者：
Yuntao Wang;Albert S. Chen;G. Fu;S. Djordjević;Chi Zhang;D. Savić
在城市洪水管理中，需要高精度的模型来做出明智的决策。本文开发了一个新的整体框架，使用从多个来源收集的信息设置参数的二维洪水模型。这说明了从地形数据中识别关键城市特征对于捕获高分辨率洪水过程的重要性。采用基于元胞自动机的模型CADALO模拟地表水洪水淹没。通过社交媒体获得的现有报告和洪水照片被用来设置模型参数，并研究在城市洪水建模中代表渗透和排水系统容量的不同方法。不同方法处理地形数据集的结果表明，城市微观特征的表示是建模结果的准确性的关键。恒定入渗法比降雨减量法更能反映土壤的入渗和排水能力，因为它能更好地描述洪水退水过程。这项研究提供了深入了解高分辨率洪水建模。
High accuracy models are required for informed decision making in urban flood management. This paper develops a new holistic framework for using information collected from multiple sources for setting parameters of a 2D flood model. This illustrates the importance of identifying key urban features from the terrain data for capturing high resolution flood processes. A Cellular Automata based model CADDIES was used to simulate surface water flood inundation. Existing reports and flood photos obtained via social media were used to set model parameters and investigate different approaches for representing infiltration and drainage system capacity in urban flood modelling. The results of different approaches to processing terrain datasets indicate that the representation of urban micro-features is critical to the accuracy of modelling results. The constant infiltration approach is better than the rainfall reduction approach in representing soil infiltration and drainage capacity, as it describes the flood recession process better. This study provides an in-depth insight into high resolution flood modelling.