TY - JOUR
T1 - Modelling the impact of land subsidence on urban pluvial flooding
T2 - A case study of downtown Shanghai, China
AU - Yin, Jie
AU - Yu, Dapeng
AU - Wilby, Rob
N1 - Publisher Copyright:
© 2015 Elsevier B.V.
PY - 2016/2/15
Y1 - 2016/2/15
N2 - 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.
AB - 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.
KW - Adaptation
KW - FloodMap
KW - Land subsidence
KW - Shanghai
KW - Urban pluvial flooding
UR - https://www.scopus.com/pages/publications/84960406042
U2 - 10.1016/j.scitotenv.2015.11.159
DO - 10.1016/j.scitotenv.2015.11.159
M3 - 文章
AN - SCOPUS:84960406042
SN - 0048-9697
VL - 544
SP - 744
EP - 753
JO - Science of the Total Environment
JF - Science of the Total Environment
ER -