Evaluating the impact and risk of pluvial flash flood on intra-urban road network: A case study in the city center of Shanghai, China
Evaluating the impact and risk of pluvial flash flood on intra-urban road network: A case study in the city center of Shanghai, China
复制标题
评估雨洪对城市内路网的影响和风险：以中国上海市中心为例
DOI：
10.1016/j.jhydrol.2016.03.037
复制
发表时间：
2016-06-01
影响因子：
6.4
通讯作者：
He, Qing
中科院分区：
文献类型：
--
作者：
Yin, Jie;Yu, Dapeng;He, Qing
由于强降水的增加和日益严重的后果，城市洪泛洪水引起了越来越多的公众关注。准确的风险评估对于有效的城市洪水管理至关重要，特别是在交通部门。本文介绍了一种综合方法，初步利用高分辨率二维淹没模型和洪水深度相关测度，评估了暴洪对上海市中心城区道路网络的潜在影响和风险。结合上海暴雨和芝加哥设计风暴的强度-持续时间-频率关系，生成整体降雨情景。水动力模型（floodmap - hydrofloodation2d）用于模拟每种情景下的地表水流和洪水淹没。采用新算法和代理分别进行道路影响和风险评估。结果表明，洪水响应是降水时空分布和局地特征（即排水和地形）的函数，山洪暴发对城市内部道路淹没风险的影响是成比例的，但却是非线性的。这里测试的方法将为城市街道网络的智能管理提供更详细的洪水信息，并可应用于气候变化和城市化背景下道路洪水风险不断演变的其他大城市。(C) 2016 Elsevier B.V.版权所有
Urban pluvial flood are attracting growing public concern due to rising intense precipitation and increasing consequences. Accurate risk assessment is critical to an efficient urban pluvial flood management, particularly in transportation sector. This paper describes an integrated methodology, which initially makes use of high resolution 2D inundation modeling and flood depth-dependent measure to evaluate the potential impact and risk of pluvial flash flood on road network in the city center of Shanghai, China. Intensity-Duration-Frequency relationships of Shanghai rainstorm and Chicago Design Storm are combined to generate ensemble rainfall scenarios. A hydrodynamic model (FloodMap-HydroInundation2D) is used to simulate overland flow and flood inundation for each scenario. Furthermore, road impact and risk assessment are respectively conducted by a new proposed algorithm and proxy. Results suggest that the flood response is a function of spatio-temporal distribution of precipitation and local characteristics (i.e. drainage and topography), and pluvial flash flood is found to lead to proportionate but nonlinear impact on intra-urban road inundation risk. The approach tested here would provide more detailed flood information for smart management of urban street network and may be applied to other big cities where road flood risk is evolving in the context of climate change and urbanization. (C) 2016 Elsevier B.V. All rights reserved.