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Temporal and spatial correlation between impervious surface and surface runoff： A case study of the main urban area of Hangzhou city

  • role： First author第一作者
  • Affiliation：

    School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China

  • Email：2001160310@cugb.edu.cn
  • Introduction：要志鑫，1993年生，女，硕士研究生，研究方向为遥感图像处理，城市生态环境。E-mail: 2001160310@cugb.edu.cn
YAO Zhixin1,  
  • role： Corresponding author通信作者
  • Affiliation：

    Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100101, China

    Sanya Institute of Remote Sensing, Sanya 572029, China

  • Email：mengqy@radi.ac.cn
  • Introduction：孟庆岩，1971年生，男，研究员，研究方向为城市路表环境遥感。E-mail: mengqy@radi.ac.cn
MENG Qingyan23*,  
  • Affiliation：

    Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100101, China

SUN Zhenhui2,  
  • Affiliation：

    Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100101, China

LIU Shufu2,  
  • Affiliation：

    Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100101, China

ZHANG Linlin2

resumen

In the process of urbanization, the expansion of impervious surface has a significant impact on the urban surface hydrdogical cycle, studying the temporal and spatial correlation between impervious surface and surface runoff can alleviate urban waterlogging, which can provide some suggestions for the construction of "sponge city" and scientific basis for the improvement of urban drainage system. In this work, the combination of linear spectral decomposition method with BCI index and SCS—CN model are used to simulate the surface runoff changes caused by impervious surface in the main urban area of ​​Hangzhou in 1990—2017. Moreover, the landscape pattern index is calculated to explore the relationship between impervious surface and surface runoff.Results show that: (1) In the main urban area of ​​Hangzhou, the impervious surface is high and increasing during the past 30 years, and the growth rate tends to be stable. The impervious surface area of ​​Shangcheng District and Xiacheng District has the highest proportion. Jianggan District, Xihu District, and Gongshu District have a large growth rate and intensity. (2) In the past 30 years, the surface runoff of Hangzhou’s main urban area continued to increase, and the 220—240 mm runoff radiated from the center of the city to the surrounding area. The surface runoff of Shangcheng District and Xiacheng District was the highest, which was roughly consistent with the evolution of impervious surface. (3) The spatial pattern of impervious surface is highly related to surface runoff. The number and fragmentation degree of impervious surface are negatively correlated with surface runoff, and the proportion of patch occupied landscape, patch density, and patch aggregation are positively correlated with surface runoff. Surface runoff can be controlled by optimizing the space patterns of impervious surface, such as reducing large areas of impervious surfaces and increasing the number of impervious surface patches.

palabra clave

remote sensing;hydrological model;impervious surface;spatial pattern;surface runoff;regressive analysis;Hangzhou

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