大洪水
中国
弹性(材料科学)
生态系统服务
透视图(图形)
生态系统
供求关系
环境资源管理
心理弹性
水资源管理
地理
环境规划
业务
自然资源经济学
环境科学
生态学
经济
计算机科学
物理
心理治疗师
微观经济学
考古
人工智能
热力学
生物
心理学
作者
Peng Zhang,Xukan Xu,Wentong Yang,Yiming Li,Shengqi Yao
标识
DOI:10.1016/j.ecolind.2025.113397
摘要
Urban flooding has become a pressing challenge for many countries and regions. Meanwhile, ecosystem-based disaster risk reduction approaches have been recognized as a sustainable and effective strategy for managing flood risks. This study designed a conceptual framework for assessing the supply–demand risk of urban flood resilience (UFR) from the perspective of ecosystem services (ESs). Taking the city of Nanjing, China, as an example, the InVEST model and the multi-criteria comprehensive evaluation method were employed to quantify the supply of UFR provided by natural ecosystems and the demand for UFR from socio-economic systems. Additionally, based on UFR supply–demand evaluation indicators calculated for each subdistrict, the Self-Organizing Map (SOM) was used to cluster the subdistricts. Finally, UFR supply–demand matching was conducted on the subdistrict clusters, and different flood-risk levels were identified based on the supply–demand ratio. The results showed that high flood-risk subdistricts are mainly concentrated in central urban area, low flood-risk subdistricts are primarily in urban periphery, and subdistricts in urban–rural transitional zones exhibit medium flood risk. Statistical analysis revealed that this zonal pattern is closely related to land use types and the distribution of social resources. Therefore, this study provides a scientific basis for developing management strategies of urban flood prevention from the perspective of ESs.
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