title: Exploring the Linkage between Urban Flood Risk and Spatial Patterns in Small Urbanized Catchments of Beijing, China.
abstract: In the context of global urbanization, urban flood risk in many cities has become a serious environmental issue, threatening the health of residents and the environment. A number of hydrological studies have linked urban flooding issues closely to the spectrum of spatial patterns of urbanization, but relatively little attention has been given to small-scale catchments within the realm of urban systems. This study aims to explore the hydrological effects of small-scaled urbanized catchments assigned with various landscape patterns. Twelve typical residential catchments in Beijing were selected as the study areas. Total Impervious Area (TIA), Directly Connected Impervious Area (DCIA), and a drainage index were used as the catchment spatial metrics. Three scenarios were designed as different spatial arrangement of catchment imperviousness. Runoff variables including total and peak runoff depth (QtandQp) were simulated by using Strom Water Management Model (SWMM). The relationship between catchment spatial patterns and runoff variables were determined, and the results demonstrated that, spatial patterns have inherent influences on flood risks in small urbanized catchments. Specifically: (1) imperviousness acts as an effective indicator in affecting bothQtandQp; (2) reducing the number of rainwater inlets appropriately will benefit the catchment peak flow mitigation; (3) different spatial concentrations of impervious surfaces have inherent influences onQp. These findings provide insights into the role of urban spatial patterns in driving rainfall-runoff processes in small urbanized catchments, which is essential for urban planning and flood management.
authors.affiliation: College of Geography and Environment, Shandong Normal University, Ji'nan 250014, China. alex_yaolei@126.com.|State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. alex_yaolei@126.com.|University of Chinese Academy of Sciences, Beijing 100049, China. alex_yaolei@126.com.
authors.forename: Lei
authors.initials: L
authors.lastname: Yao
authors.affiliation: State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. liding@rcees.ac.cn.
authors.forename: Liding
authors.initials: L
authors.lastname: Chen
authors.affiliation: State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. weiwei@rcees.ac.cn.
authors.forename: Wei
authors.initials: W
authors.lastname: Wei
mesh_terms: D000068476:Beijing; D055868:Floods; D008962:Models, Theoretical; D011891:Rain; D012306:Risk; D014507:Urbanization; D014872:Water Movements; D014881:Water Supply
keywords: connectivity; imperviousness; rainfall simulation; rainfall-runoff; spatial pattern; urban flood risk