Journal of Geographical Sciences

, Volume 28, Issue 5, pp 656–668 | Cite as

Rainfall-runoff risk characteristics of urban function zones in Beijing using the SCS-CN model

  • Lei Yao
  • Wei Wei
  • Yang Yu
  • Jun Xiao
  • Liding Chen


Urbanization significantly increases the risk of urban flooding. Therefore, quantitative study of urban rainfall-runoff processes can provide a scientific basis for urban planning and management. In this paper, the built-up region within the Fifth Ring Road of Beijing was selected as the study area. The details of land cover and urban function zones (UFZs) were identified using GIS and RS methods. On this basis, the SCS-CN model was adopted to analyze the rainfall-runoff risk characteristics of the study area. The results showed that: (1) UFZs within different levels of runoff risk varied under different rainfall conditions. The area ratio of the UFZs with high runoff risk increased from 18.90% (for rainfall return period of 1a) to 54.74% (for period of 100a). Specifically, urban commercial areas tended to have the highest runoff risk, while urban greening spaces had the lowest. (2) The spatial characteristics of the runoff risks showed an obvious circular distribution. Spatial cluster areas with high runoff risk were mainly concentrated in the center of the study area, while those with low runoff risk were mainly distributed between the fourth and fifth ring roads. The results indicated that the spatial clustering characteristic of urban runoff risk and runoff heterogeneity among different UFZs should be fully considered during urban rainwater management.


SCS-CN model urban function zone spatial cluster runoff risk 


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Copyright information

© Institute of Geographic Science and Natural Resources Research (IGSNRR), Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Lei Yao
    • 1
  • Wei Wei
    • 2
  • Yang Yu
    • 2
  • Jun Xiao
    • 2
  • Liding Chen
    • 2
  1. 1.College of Geography and EnvironmentShandong Normal UniversityJinanChina
  2. 2.State Key Laboratory of Urban and Regional EcologyResearch Center for Eco-Environmental Sciences, CASBeijingChina

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