地理学报 ›› 2020, Vol. 75 ›› Issue (9): 1921-1933.doi: 10.11821/dlxb202009008

• 气候与生态环境 • 上一篇    下一篇

基于景观生态学的城市化背景下洪灾风险评估

袁玉(), 方国华, 陆承璇, 颜敏   

  1. 河海大学水利水电学院,南京 210098
  • 收稿日期:2019-05-15 修回日期:2020-04-05 出版日期:2020-09-25 发布日期:2020-11-25
  • 作者简介:袁玉(1992-), 男, 安徽淮南人, 博士生, 研究方向为景观生态风险评估, 土地资源与水资源的利用与评价。E-mail: yuanyu@hhu.edu.cn
  • 基金资助:
    江苏省研究生科研与实践创新计划项目(KYCX17_0427);中央高校基本科研业务费(2017B686X14);江苏高校优势学科建设工程资助项目

Flood risk assessment under the background of urbanization based on landscape ecology

YUAN Yu(), FANG Guohua, LU Chengxuan, YAN Min   

  1. College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
  • Received:2019-05-15 Revised:2020-04-05 Published:2020-09-25 Online:2020-11-25
  • Supported by:
    Postgraduate Research & Practice Innovation Program of Jiangsu Province(KYCX17_0427);Fundamental Research Funds for the Central Universities(2017B686X14);The Priority Academic Program Development of Jiangsu Higher Education Institutions

摘要:

以秦淮河流域为例,构建HEC-HMS模型,采用统计学分析方法,在两期历史景观分布情况下,研究洪水特征值(洪量、洪峰)与不同景观的景观格局指数间的响应关系,提出并构建基于景观格局的洪水生态风险(洪水—景观生态风险)指数,结合空间分析方法,进行全流域风险的时空变化分析和特征子流域间的对比分析。结果表明:不同类型景观的景观格局与洪水特征值间均具有一定程度的响应关系,景观类型不同,其响应指标与程度不同;2003—2017年,研究区风险程度有所增加,空间差异明显;景观格局对区域洪水影响显著,避免景观的大面积聚集发展,增加各类景观周边的景观丰富度,提高景观间的接触面积,有助于减弱城市化进程中建设用地景观面积增加带来的洪水危害,发挥景观的生态正效应。

关键词: 景观格局, Spearman秩相关性分析, 多元线性回归分析, HEC-HMS水文模型, 克里格插值, 洪水—景观生态风险指数;

Abstract:

This paper used HEC-HMS hydrological model and statistical analysis method to examine the relationship between flood eigenvalues (i.e. flood volume, peak flow) and landscape pattern indexes of different landscapes. And on the basis of the above relationships, this paper constructed a flood ecological risk index to quantitatively calculate the basin's flood-landscape ecological risk. Then, the spatio-temporal risk change analysis of the whole basin and comparative risk analysis between selected sub-basins were performed. The Qinhuai River basin was selected as the study area, and two historical landscape distributions (2003 and 2017) were used in this study. The results showed that, for different landscapes, there are certain relationships between landscape patterns and flood eigenvalues, for different landscapes, the response indexes and degrees are different. From 2003 to 2017, the flood-landscape ecological risk increased and showed significant spatial differences. Landscape patterns have significant impacts on regional floods. In urbanization process, avoiding forming large-scale landscape patches, increasing landscape abundance of landscapes, and increasing contact area between different types of landscape patches can be helpful to reduce the negative effects of the increase of urban landscape area on flood.

Key words: landscape pattern, Spearman rank correlation analysis, multiple linear regression analysis, HEC-HMS hydrological model, kriging interpolation, flood-landscape ecological risk index