The influencing factors and mechanisms for urban flood resilience in China: From the perspective of social-economic-natural complex ecosystem

大洪水 城市化 背景(考古学) 中国 弹性(材料科学) 环境资源管理 心理弹性 环境规划 城市复原力 城市规划 地理 环境科学 生态学 经济增长 心理学 经济 物理 考古 生物 心理治疗师 热力学
作者
Shi‐Yao Zhu,Dezhi Li,Haibo Feng,Na Zhang
出处
期刊:Ecological Indicators [Elsevier]
卷期号:147: 109959-109959 被引量:105
标识
DOI:10.1016/j.ecolind.2023.109959
摘要

Urban flood is one of the most frequent and deadly natural disasters in the world, seriously affecting urban sustainability and people's well-being in China. As the largest developing country in the world, China urgently needs to improve its urban flood resilience. Previous studies related to urban flood resilience are mostly focused on its assessment method and simulation. However, few studies directly aim to reveal the influencing factors of urban flood resilience and their inner relationships. In order to make a significant contribution to the long-term improvement of urban flood resilience in the context of global climate change and urbanization, it is crucial to explore the influencing mechanisms of urban flood resilience. This study aims to identify key influencing factors and their interactions on urban flood resilience in China. To this end, a conceptual framework based on Pressure-State-Response model and Social-Economic-Natural Complex Ecosystem theory (PSR-SENCE model) are established and 24 factors are identified within three dimensions. The relationships between the factors are tested using a fuzzy-DEMATEL method. The results reveal that factors in pressure and response dimensions have a greater impact on the whole system, while the factors in the state dimension are more influenced by the other two dimensions. The results identify 14 critical factors, with four detailed influence paths discussed among the different dimensions. Accordingly, the implications for improving urban flood resilience are discussed within the context of the key influencing paths. The study provides a theoretical basis and approach to directly explore how the factors influencing urban flood resilience and proposes specific impact paths and improvement implications.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
NexusExplorer应助serendipity采纳,获得10
刚刚
2秒前
3秒前
闫浩东发布了新的文献求助10
3秒前
5秒前
neptuniar完成签到,获得积分10
5秒前
1454727550完成签到,获得积分20
6秒前
6秒前
7秒前
hymmloveGD完成签到,获得积分10
7秒前
YUE完成签到,获得积分10
8秒前
畅快的念烟完成签到,获得积分10
8秒前
kyou完成签到,获得积分10
9秒前
10秒前
1454727550发布了新的文献求助20
10秒前
无极微光应助hah采纳,获得20
11秒前
12秒前
量子星尘发布了新的文献求助10
13秒前
承乐应助傻傻乐采纳,获得10
15秒前
16秒前
JamesPei应助阿俊1212采纳,获得10
16秒前
phil发布了新的文献求助10
17秒前
天天快乐应助天真的灵采纳,获得10
18秒前
18秒前
乐乐应助孙新然采纳,获得10
18秒前
Orange应助菲菲采纳,获得30
19秒前
麦瑞完成签到 ,获得积分10
19秒前
灰太狼完成签到,获得积分10
19秒前
shadow发布了新的文献求助10
19秒前
19秒前
深情幻巧完成签到,获得积分10
20秒前
21秒前
予北完成签到 ,获得积分10
21秒前
周周完成签到,获得积分10
21秒前
柒柒完成签到 ,获得积分10
22秒前
JD发布了新的文献求助10
22秒前
北冰洋的夜晚An完成签到,获得积分10
23秒前
23秒前
23秒前
风几里完成签到 ,获得积分10
24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
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
King Tyrant 720
Silicon in Organic, Organometallic, and Polymer Chemistry 500
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
El poder y la palabra: prensa y poder político en las dictaduras : el régimen de Franco ante la prensa y el periodismo 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5605633
求助须知:如何正确求助?哪些是违规求助? 4690186
关于积分的说明 14862661
捐赠科研通 4702128
什么是DOI,文献DOI怎么找? 2542201
邀请新用户注册赠送积分活动 1507817
关于科研通互助平台的介绍 1472113