Supply-Demand risk assessment of urban flood resilience from the perspective of the ecosystem services: A case study in Nanjing, China

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Ecological Indicators Pub Date : 2025-04-01 Epub Date: 2025-03-25 DOI:10.1016/j.ecolind.2025.113397
Peng Zhang , Xukan Xu , Wentong Yang , Yiming Li , Shengqi Yao
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Abstract

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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基于生态系统服务的城市抗洪能力供需风险评估——以南京市为例
城市洪水已成为许多国家和地区面临的紧迫挑战。同时,基于生态系统的灾害风险减少方法已被认为是一种可持续和有效的洪水风险管理策略。本研究设计了一个基于生态系统服务(ESs)的城市抗洪能力供需风险评估的概念框架。以南京市为例,采用InVEST模型和多指标综合评价方法,量化了自然生态系统提供的UFR供给和社会经济系统对UFR的需求。在此基础上,基于计算出的UFR供需评价指标,利用自组织图(SOM)对各街区进行聚类。最后,对街道集群进行UFR供需匹配,并根据供需比确定不同的洪水风险等级。结果表明:高风险区主要集中在城市中心区,低风险区主要集中在城市外围,城乡过渡区为中等风险区;统计分析表明,这种地带性格局与土地利用类型和社会资源分布密切相关。因此,本研究为从ESs视角制定城市防洪管理策略提供了科学依据。
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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