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二维城市地表与一维排水系统水力过程的综合建模及其对人和车辆洪水风险的评估。

Integrated modeling of 2D urban surface and 1D sewer hydrodynamic processes and flood risk assessment of people and vehicles.

机构信息

State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China.

State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China,.

出版信息

Sci Total Environ. 2022 Jun 25;827:154098. doi: 10.1016/j.scitotenv.2022.154098. Epub 2022 Feb 23.

Abstract

In order to accurately simulate the whole urban flooding processes and assess the flood risks to people and vehicles in floodwaters, a 2D-surface and a 1D-sewer integrated hydrodynamic model was proposed in this study, with the module of flood risk assessment of people and vehicles being included. The proposed model was firstly validated by a dual-drainage laboratory experiment on the flood inundation process over a typical urban street, and the relative importance of model parameters and model uncertainties were evaluated using the GSA-GLUE method. Then the model was applied to simulate an actual urban flooding process that occurred in Glasgow, UK, with the influence of the sewer drainage system on flood inundation processes and hazard degree distributions of people and vehicles being comprehensively discussed. The following conclusions are drawn from this study: (i) The proposed model has a high degree of accuracy with the NSE values of key hydraulic variables greater than 0.8 and the GSA indicates that Manning roughness coefficients for surface and sewer flows, inlet weir and orifice discharge coefficients, are the most relevant parameters to influence the simulated results; (ii) vehicles are vulnerable to larger water depths while human stability is significantly influenced by higher flow velocities, with the overall flood risk of people being less than that of vehicles; and (iii) about 88.7% of the total inflow volume was drained to the sewer network, and the sewer drainage system greatly reduced the flood risks to people and vehicles except the local areas with large inundation water depths, where the sewer drainage increased the local flow velocity leading to higher flood risks especially for people.

摘要

为了准确模拟整个城市洪水过程,并评估洪水对人员和车辆的风险,本研究提出了一个二维地表和一维下水道集成的水动力模型,其中包括人员和车辆洪水风险评估模块。该模型首先通过一个典型城市街道洪水淹没过程的双排水实验室实验进行验证,并使用 GSA-GLUE 方法评估模型参数和模型不确定性的相对重要性。然后,该模型被应用于模拟英国格拉斯哥发生的实际城市洪水过程,综合讨论了下水道排水系统对洪水淹没过程和人员车辆危险程度分布的影响。本研究得出以下结论:(i) 所提出的模型具有很高的准确性,关键水力变量的 NSE 值大于 0.8,GSA 表明地表和下水道流动的曼宁粗糙度系数、进口堰和孔口流量系数是影响模拟结果的最相关参数;(ii) 车辆容易受到更大水深的影响,而人员的稳定性则受到更高流速的显著影响,人员的整体洪水风险小于车辆;(iii) 大约 88.7%的总流入量被排到下水道网络中,下水道排水系统大大降低了人员和车辆的洪水风险,除了局部洪水深度较大的地区,在这些地区,下水道排水增加了局部流速,导致更高的洪水风险,特别是对人员而言。

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