Evaluation of urban flood resilience and its Space-Time Evolution: A case study of Zhejiang Province, China

大洪水 弹性(材料科学) 中国 环境资源管理 地理 环境规划 环境科学 热力学 物理 考古
作者
Feifeng Cao,Xinfa Xu,Conglin Zhang,Weibo Kong
出处
期刊:Ecological Indicators [Elsevier]
卷期号:154: 110643-110643 被引量:40
标识
DOI:10.1016/j.ecolind.2023.110643
摘要

Urban floods have become increasingly frequent in recent years, highlighting the need for resilience evaluation and the identification of strategies to improve urban flood resilience. In this study, a system of resilience evaluation indicators is proposed to quantitatively evaluate the level of urban flood resilience. The entropy method used to calculate the resilience index and the space–time permutation scan method used to analyze the space–time aggregation characteristics of urban resilience levels are combined to establish a methodology for evaluating urban flood resilience. An evaluation indicator system for urban flood resilience is proposed, encompassing aspects of natural, economy, society, and infrastructure. This system attuned to the local needs of urban flood resilience evaluation, tests the applicability of the Guide for Safety Resilient City Evaluation (GB/T 40947–2021) in this study. Moreover, it incorporates key common indicators extracted from prior studies on urban flood resilience evaluation. Zhejiang Province, a flood-prone area in China, is selected as the study area, and the proposed evaluation indicator system is used to evaluate the urban flood resilience levels in Zhejiang and their space–time trends from 2011 to 2020. The results show that resilience levels have improved in the natural, economic, and infrastructure aspects, while the resilience levels of social aspect remain high. From 2011 to 2014, two distinct aggregation patterns emerged, delineated as inland-type and coastal-type aggregation areas. An analysis of both patterns was conducted, considering an array of influencing indicators, such as green coverage rate in built-up areas, population age structure index, gross domestic product, density of resident population in built-up areas, and per capita disposable income. The period from 2014 to 2020, however, did not reveal any significant aggregation characteristics. This study provides a reference for establishing an urban flood resilience evaluation indicator system and an in-depth understanding of urban flood resilience, and targeted recommendations to bolster urban flood resilience in the study area.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
orixero应助qiaoyun采纳,获得10
2秒前
852应助舒心马里奥采纳,获得10
3秒前
南山的杉完成签到,获得积分10
3秒前
Awake应助Liyo采纳,获得10
4秒前
兴奋孤丝发布了新的文献求助20
5秒前
谦让雨珍发布了新的文献求助10
5秒前
独特含烟发布了新的文献求助10
6秒前
7秒前
7秒前
8秒前
FashionBoy应助董家旭采纳,获得10
8秒前
Jason完成签到,获得积分10
9秒前
科研通AI6.3应助PERI采纳,获得10
10秒前
10秒前
12秒前
勤奋一一发布了新的文献求助10
13秒前
13秒前
13秒前
科研通AI6.2应助木川采纳,获得10
14秒前
15秒前
15秒前
霸气绮山发布了新的文献求助30
16秒前
16秒前
spy完成签到,获得积分10
16秒前
17秒前
NexusExplorer应助wjm采纳,获得10
17秒前
快乐毕业发布了新的文献求助10
17秒前
FashionBoy应助指天采纳,获得10
18秒前
18秒前
乐乐应助lxl采纳,获得10
19秒前
19秒前
伶俐的储发布了新的文献求助10
20秒前
Henry完成签到,获得积分10
20秒前
21秒前
21秒前
21秒前
21秒前
CodeCraft应助pinecone采纳,获得10
22秒前
23秒前
打打应助望北采纳,获得10
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6018734
求助须知:如何正确求助?哪些是违规求助? 7609016
关于积分的说明 16160056
捐赠科研通 5166454
什么是DOI,文献DOI怎么找? 2765313
邀请新用户注册赠送积分活动 1746922
关于科研通互助平台的介绍 1635411