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

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  • Lei Yao

    (College of Geography and Environment, Shandong Normal University, Ji’nan 250014, China
    State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Liding Chen

    (State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China)

  • Wei Wei

    (State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, 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 ( Q t and Q p ) 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 Q t and Q p ; (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 Q p . 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.

Suggested Citation

  • Lei Yao & Liding Chen & Wei Wei, 2017. "Exploring the Linkage between Urban Flood Risk and Spatial Patterns in Small Urbanized Catchments of Beijing, China," IJERPH, MDPI, vol. 14(3), pages 1-16, February.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:3:p:239-:d:91753
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    References listed on IDEAS

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    1. Fei Li & Huan-Feng Duan & Hexiang Yan & Tao Tao, 2015. "Multi-Objective Optimal Design of Detention Tanks in the Urban Stormwater Drainage System: Framework Development and Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(7), pages 2125-2137, May.
    2. Robin Bloch & Abhas K. Jha & Jessica Lamond, 2012. "Cities and Flooding : A Guide to Integrated Urban Flood Risk Management for the 21st Century [Ciudades e Inundaciones : guía para la gestión integrada del riesgo de inundaciones en ciudades en el S," World Bank Publications - Books, The World Bank Group, number 2241.
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    2. Taşkın, Halime Firdevs & Manioğlu, Gülten, 2024. "Evaluation of the impact of land use ratios and cover materials in settlement design on stormwater runoff," Land Use Policy, Elsevier, vol. 146(C).
    3. Chunlin Li & Miao Liu & Yuanman Hu & Rongqing Han & Tuo Shi & Xiuqi Qu & Yilin Wu, 2018. "Evaluating the Hydrologic Performance of Low Impact Development Scenarios in a Micro Urban Catchment," IJERPH, MDPI, vol. 15(2), pages 1-14, February.
    4. Youpeng Lu & Wenze Yue & Yaping Huang, 2021. "Effects of Land Use on Land Surface Temperature: A Case Study of Wuhan, China," IJERPH, MDPI, vol. 18(19), pages 1-18, September.
    5. Luoyang Wang & Yao Li & Hao Hou & Yan Chen & Jinjin Fan & Pin Wang & Tangao Hu, 2022. "Analyzing spatial variance of urban waterlogging disaster at multiple scales based on a hydrological and hydrodynamic model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(2), pages 1915-1938, November.

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