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Exploring the Linkage between Urban Flood Risk and Spatial Patterns in Small Urbanized Catchments of Beijing China

机译:探索中国北京小型城市集水区城市洪水风险与空间格局的联系

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摘要

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 (Qt and Qp) 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 both Qt and Qp; (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 on Qp. 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.
机译:在全球城市化的背景下,许多城市的城市洪灾风险已成为严重的环境问题,威胁着居民的健康和环境。许多水文学研究已将城市洪水问题与城市化空间格局的范围紧密联系在一起,但对城市系统领域内的小规模集水区的关注相对较少。这项研究旨在探讨分配有各种景观格局的小规模城市化集水区的水文影响。选择了北京的十二个典型住宅流域作为研究区域。总不透水面积(TIA),直接连接不透水面积(DCIA)和排水指数用作集水区空间指标。三种方案被设计为集水区不可渗透性的不同空间布置。使用斯特罗姆水管理模型(SWMM)模拟了径流变量,包括总径流深度和峰值径流深度(Qt和Qp)。确定了流域空间格局与径流变量之间的关系,结果表明,空间格局对小型城市化流域的洪水风险具有内在影响。具体来说:(1)渗透性是影响Qt和Qp的有效指标; (2)适当减少雨水进口数量,有利于减轻流域洪峰流量; (3)渗透表面的不同空间浓度对Qp有内在影响。这些发现为洞察城市空间格局在驱动小型城市集水区降雨径流过程中的作用提供了见解,这对于城市规划和洪水管理至关重要。

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