Literature DB >> 26674703

Modelling the impact of land subsidence on urban pluvial flooding: A case study of downtown Shanghai, China.

Jie Yin1, Dapeng Yu2, Rob Wilby2.   

Abstract

This paper presents a numerical analysis of pluvial flooding to evaluate the impact of land subsidence on flood risks in urban contexts using a hydraulic model (FloodMap-HydroInundation2D). The pluvial flood event of August 2011 in Shanghai, China is used for model calibration and simulation. Evolving patterns of inundation (area and depth) are assessed over four time periods (1991, 1996, 2001 and 2011) for the downtown area, given local changes in topography and rates of land subsidence of up to 27 mm/yr. The results show that land subsidence can lead to non-linear response of flood characteristics. However, the impact on flood depths is generally minor (<5 cm) and limited to areas with lowest-lying topographies because of relatively uniform patterns of subsidence and micro-topographic variations at the local scale. Nonetheless, the modelling approach tested here may be applied to other cities where there are more marked rates of subsidence and/or greater heterogeneity in the depressed urban surface. In these cases, any identified hot-spots of subsidence and focusing of pluvial flooding may be targeted for adaptation interventions.
Copyright © 2015 Elsevier B.V. All rights reserved.

Keywords:  Adaptation; FloodMap; Land subsidence; Shanghai; Urban pluvial flooding

Year:  2015        PMID: 26674703     DOI: 10.1016/j.scitotenv.2015.11.159

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Quantifying the inundation impacts of earthquake-induced surface elevation change by hydrological and hydraulic modeling.

Authors:  Mao Ouyang; Yuka Ito; Tomochika Tokunaga
Journal:  Sci Rep       Date:  2021-02-19       Impact factor: 4.379

2.  Urban Inundation under Different Rainstorm Scenarios in Lin'an City, China.

Authors:  Yan Chen; Hao Hou; Yao Li; Luoyang Wang; Jinjin Fan; Ben Wang; Tangao Hu
Journal:  Int J Environ Res Public Health       Date:  2022-06-12       Impact factor: 4.614

  2 in total

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