School of Geographical Sciences, East China Normal University, China.
Centre for Hydrological and Ecosystem Science, Department of Geography, Loughborough University, UK.
Sci Total Environ. 2016 Feb 15;544:744-53. doi: 10.1016/j.scitotenv.2015.11.159. Epub 2015 Dec 10.
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.
本文提出了一种数值分析方法,用于研究降雨型洪水,以评估土地沉降对城市洪水风险的影响。该方法采用水力模型(FloodMap-HydroInundation2D)进行分析。以上海市 2011 年 8 月的降雨洪水事件为例,对模型进行校准和模拟。研究评估了四个时间段(1991 年、1996 年、2001 年和 2011 年)市中心地区的洪水淹没范围(面积和深度),考虑了局部地形变化和高达 27 毫米/年的土地沉降速率。结果表明,土地沉降会导致洪水特征呈非线性响应。然而,洪水深度的影响通常较小(<5 厘米),并且仅限于地形最低的区域,因为沉降具有相对均匀的模式,且在局部尺度上存在微地形变化。尽管如此,这里测试的建模方法可以应用于其他沉降率更高或城市表面凹陷程度更大的城市。在这些情况下,可能需要针对沉降热点和降雨型洪水的集中区域进行适应性干预。