Improving the performance of city-scale hydrodynamic flood modelling through a GIS-based DEM correction method

Improving the performance of city-scale hydrodynamic flood modelling through a GIS-based DEM correction method
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DOI:
10.1007/s11069-022-05267-1
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发表时间:
2022-02
期刊:
影响因子:
3.7
通讯作者:
Y. Xing;Huili Chen;Q. Liang;Xieyao Ma
Y. Xing;Huili Chen;Q. Liang;Xieyao Ma
中科院分区:
工程技术3区
文献类型:
--
作者:
Y. Xing;Huili Chen;Q. Liang;Xieyao Ma

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洪水模型可以为洪水风险评估和管理提供有用的信息。洪水模拟结果的准确性在很大程度上取决于输入数据的质量。特别是,数字高程模型(DEM)可能会直接影响洪水预报的性能,对建筑物、桥梁等复杂城市地物的不当表达可能导致对洪水路径和范围的错误预测,从而导致洪水风险的错误计算。提出了一种基于地理信息系统(GIS)的高分辨率DEM修正方法,通过增加建筑物综合体和去除桥梁的非物理表示来修正高分辨率DEM,以更真实地描述洪水路径,以考虑密集城市化地区的水流连通性,从而获得更准确的洪水模拟结果。将所提出的DEM改正方法应用于支持福州市大比例尺城市洪水模拟的中国,使用已建立的高性能集成水动力模型系统(HIPIMS)。对改进前后的模拟结果进行了对比分析。结果表明,在城市DEM中正确表达人工构筑物可以显著提高洪水模拟效果。
Flood modelling can provide useful information to support flood risk assessment and management. The accuracy of flood simulation results is highly dependent on the quality of input data. In particular, digital elevation models (DEMs) may directly influence the performance of flood predictions and improper representation of complex urban features including buildings and bridges may lead to incorrect prediction of flooding paths and extents, and consequently miscalculate flood risk. In this work, a geographic information system (GIS)-based correction method is proposed to make modifications in high-resolution DEMs by adding building complexes and removing unphysical representations of bridges for a more realistic description of flood paths in considering the flow connectivity in intensely urbanized areas and with the objective of obtaining more accurate flood simulation results. The proposed DEM correction method is applied to support large-scale urban flood modelling in Fuzhou City, China, using an established hydrodynamic flood model known as High-Performance Integrated hydrodynamic Modelling System (HiPIMS). Comparisons are made to the simulation results with and without the DEM improvements using the proposed correction method. The results demonstrate that correct representation of the artificial structures in the urban DEM can significantly improve the flood simulation results.