Abstract

The Hydrologic Modeling System (HEC-HMS) and statistical analysis method were used to analyze the relationship between flood eigenvalues (i.e., flood volume and peak flow) and landscape pattern metrics. Then, the flood-landscape ecological risk index (ERI_FL) was proposed and constructed to quantitatively assess the flood-landscape ecological risk (FLER). The semivariogram method was used to spatialize the ERI_FL values. Lastly, this study analyzed the spatial–temporal change of FLER at watershed scale and at sub-basin scale, respectively. Two historical landscape distributions (i.e., 2003 and 2017) of Qinhuai River basin were used to perform this study. The results showed that there were certain relationships between landscape pattern and flood eigenvalues, and for different landscapes, the response metrics and degrees were different. FLER increased as urbanization increased. FLER change magnitude had a positive relationship with urban land percentage change magnitude. The distribution of FLER and the distribution of FLER change both showed spatial differences at watershed scale. The structural features of landscape pattern had significant effects on regional floods. In the urbanization process, avoiding forming large-scale landscape patches, improving landscape abundance, and increasing contact area between different types of landscape patches were helpful to reduce the negative effects caused by the increase of urban landscape area on flood.

Highlights

  • Since 1960, the world population has increased by 3 billion, and the UN Population Organization predicts that it will increase to 11.2 billion by 2100 [1]

  • 10a,c, for urban and paddy field mainly in the middle and north regions, dry land mainly clustered in the middle region and partly scattered in the south

  • 10a,c, for sub-basin 7, urban land and paddy field mainly clustered in the middle and dry land mainly clustered in the middle and partly scattered

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Summary

Introduction

Since 1960, the world population has increased by 3 billion, and the UN Population Organization predicts that it will increase to 11.2 billion by 2100 [1]. Huge population growth results in rapid urbanization on a global scale. Urbanization has significant effects on hydrological process [2], especially at shorter time-scale [3]. It means that flood response to urbanization is more pronounced than annual runoff response. Dense population and high-developed economy make the regional flood risk caused by urbanization more serious [4]. There have been many researches examining the flood response to urbanization around the world, and most results have indicated that urbanization significantly increases flood volume and peak flow, and the potential change shows a linear relationship [2,3,5]

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