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 27mm/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 (<5cm) 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.
Funding
This research was supported by the National Natural Science Foundation in China (Grant No: 41201550, 41371493, 71373084), the Humanities and Social Science Project of Education Ministry (Grant No: 12YJCZH257), Innovation Program of Shanghai Municipal Education Commission (Grant No: 13YZ061, 13ZZ035), the Open Research Fund of State Key
Laboratory of Estuarine and Coastal Research (Grant No: SKLEC-KF201407).
History
School
Social Sciences
Department
Geography and Environment
Published in
The Science of the total environment
Volume
544
Pages
744 - 753
Citation
YIN, Y, YU, D. and WILBY, R.L., 2015. Modelling the impact of land subsidence on urban pluvial flooding: A case study of downtown Shanghai, China. Science of the Total Environment, 544, pp. 744-753.
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Publication date
2015
Notes
This paper was accepted for publication in the journal Science of the Total Environment and the definitive published version is available at http://dx.doi.org/10.1016/j.scitotenv.2015.11.159