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Title: Evaluating the impact and risk of pluvial flash flood on intra-urban road net- work: A case study in the city center of Shanghai, China
Authors: Yin, Jie
Yu, Dapeng
Yin, Zhane
Liu, Min
He, Qin
Keywords: Pluvial flash flood
Road network
Risk assessment
Issue Date: 2016
Publisher: © Elsevier
Citation: YIN, J. ...et al., 2016. Evaluating the impact and risk of pluvial flash flood on intra-urban road net- work: A case study in the city center of Shanghai, China. Journal of Hydrology, 537, pp. 138–145.
Abstract: 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.
Description: This paper is in closed access until 26th Mar 2017.
Sponsor: This work was supported by the Open Research Fund of State Key Laboratory of Estuarine and Coastal Research (Grant No: SKLEC-KF201407), the National Natural Science Foundation in China (Grant No: 41201550, 41371493, 71373084), Project of Joint Center for Shanghai Meteorological Science and Technology (Grant No: 2015-03), Innovation Program of Shanghai Municipal Education Commission (Grant No: 13YZ061, 13ZZ035).
Version: Accepted for publication
DOI: j.jhydrol.2016.03.037
URI: https://dspace.lboro.ac.uk/2134/20960
Publisher Link: http://dx.doi.org/10.1016/j.jhydrol.2016.03.037
ISSN: 0022-1694
Appears in Collections:Closed Access (Geography)

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