|本期目录/Table of Contents|

[1]尹萌萌,刘梦婷,朱伟,等.城市内涝灾害韧性评估及影响因子分析*——以福州市为例[J].中国安全生产科学技术,2024,20(10):61-66.[doi:10.11731/j.issn.1673-193x.2024.10.008]
 YIN Mengmeng,LIU Mengting,ZHU Wei,et al.Resilience assessment and influencing factors analysis of urban waterlogging disaster:a case study of Fuzhou City[J].Journal of Safety Science and Technology,2024,20(10):61-66.[doi:10.11731/j.issn.1673-193x.2024.10.008]
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城市内涝灾害韧性评估及影响因子分析*——以福州市为例()

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
20
期数:
2024年10期
页码:
61-66
栏目:
学术论著
出版日期:
2024-10-30

文章信息/Info

Title:
Resilience assessment and influencing factors analysis of urban waterlogging disaster:a case study of Fuzhou City
文章编号:
1673-193X(2024)-10-0061-06
作者:
尹萌萌刘梦婷朱伟郑建春
(北京市科学技术研究院城市系统工程研究所,北京 100035)
Author(s):
YIN Mengmeng LIU Mengting ZHU Wei ZHENG Jianchun
(Institute of Urban Systems Engineering,Beijing Academy of Science and Technology,Beijing 100035,China)
关键词:
城市内涝韧性评估熵权法TOPSIS模型
Keywords:
urban waterlogging resilience assessment entropy weight method TOPSIS model
分类号:
X915.5
DOI:
10.11731/j.issn.1673-193x.2024.10.008
文献标志码:
A
摘要:
为有效评估城市内涝灾害韧性水平,基于压力-状态-响应评估分析框架,构建城市内涝灾害韧性评估指标体系,采用熵权法确定指标权重,应用TOPSIS综合评估模型,以福州市2018—2022年为时间周期开展实证研究,并引入影响度测算模型对制约城市内涝韧性的关键影响因子进行深入分析。研究结果表明:2018—2022年该市内涝韧性从Ⅱ级逐步提升至Ⅳ级,城市整体内涝韧性水平呈波动上升态势;城市的经济发展、基础设施建设以及防灾减灾投入等因素是制约城市内涝灾害韧性水平提升的关键因素,同时灾害监测预警及应急响应能力也发挥着重要作用。研究结果可为城市开展有针对性内涝灾害防治提供有力支撑。
Abstract:
In order to effectively assess the resilience level of urban waterlogging disaster,an index system for the resilience assessment of urban waterlogging disaster was constructed based on the pressure-state-response assessment and analysis framework,and the index weights were determined by using the entropy weight method.The TOPSIS comprehensive assessment model was applied to carry out an empirical study with Fuzhou City from 2018 to 2022 as the time period,and the key influencing factors restricting the resilience of urban waterlogging were analyzed in depth by introducing into the influence degree calculation model.The results show that the waterlogging resilience of this city from 2018 to 2022 has gradually improved from level II to level IV,and the overall waterlogging resilience level of the city presents a fluctuating upward trend.The factors such as urban economic development,infrastructure construction,and investment in disaster prevention and mitigation are the key factors that restrict the improvement of urban waterlogging disaster resilience.At the same time,the disaster monitoring and early-warning and the emergency response capabilities also play an important role.The research results can provide strong support for the targeted prevention and control of waterlogging disasters in cities.

参考文献/References:

[1]中华人民共和国水利部.中国水旱灾害防御公告2022[M].北京,中国水利水电出版社,2023.
[2]李昌顺,周科平,林允.基于云物元的老旧社区内涝灾害脆弱性评价 [J].中国安全生产科学技术,2022,18(6):217-223.LI Changshun,ZHOU Keping,LIN Yun.Vulnerability assessment of old communities to waterlogging disasters based on cloud matter-element analysis [J].Journal of Safety Science and Technology,2022,18(6):217-223.
[3]王启飞,赵逸涵,张慧,等.基于PSR和信息敏感性的城市韧性度评价:以北京市为例[J].中国安全科学学报,2023,33(8):198-204.WANG Qifei,ZHAO Yihan,ZHANG Hui,et al.Evaluation of urban resilience based on PSR model and information sensitivity:a case study of Beijing[J].China Safety Science Journal,2023,33(8):198-204.
[4]胡文翰,张质明,赵鑫,等.基于VSD 模型和地理探测器的北京城市内涝脆弱性评估及驱动机制分析[J].水利水电技术(中英文),2022,53(10):86-100.HU Wenhan,ZHANG Zhiming,ZHAO Xin,et al.VSD model and geodetector-based assessment on urban waterlogging vulnerability in Beijing and analysis of its driving mechanism[J].Water Resources and Hydropower Engineering,2022,53(10):86-100.
[5]姚蕊,杨群涛,张书亮.城市暴雨内涝灾害脆弱性研究综述 [J].水资源保护,2023,39(1):93-100.YAO Rui,YANG Quntao,ZHANG Shuliang.A comprehensive review on the vulnerability of urban rainstorm waterlogging disasters [J].Water Resources Protection,2023,39(1):93-100.
[6]叶金玉,林广发,张明锋.福建省台风灾害链空间特征分析[J].福建师范大学学报(自然科学版),2014,30(2):99-106.YE Jinyu,LIN Guangfa,ZHANG Mingfeng.Spatial characteristics analysis of typhoon disaster chain in Fujian Province[J].Journal of Fujian Normal University (Natural Science Edition),2014,30(2):99-106.
[7]张建云,土银堂,贺瑞敏,等.中国城市洪涝问题及成因分析[J].水科学进展,2016,27(4):485-491.ZHANG Jianyun,TU Yintang,HE Ruimin,et al.Discussion on the urban flood and waterlogging and causes analysis in China[J].Advances in Water Science,2016,27(4):485-491.
[8]周振宏,胡琦,周敏,等.基于PSR-TOPSIS模型的雨洪韧性评估及障碍因子诊断:以合肥市为例[J].湖南城市学院学报(自然科学版),2022,31(5):55-61.ZHOU Zhenhong,HU Qi,ZHOU Min,et al.Rainfall resilience assessment and obstacle factor diagnosis based on PSR-TOPSIS model:taking Hefei City as an example[J].Journal of Hunan City University (Natural Science),2022,31(5):55-61.
[9]黄弘,范维澄.构建“安全韧性城市”:概念、理论与实施路径[J].北京行政学院学报,2024(2):1-9.HUANG Hong,FAN Weicheng.Building“Safe and Resilient Cities”:concepts,theories,and implementation approaches[J].Journal of Beijing Administrative College,2024(2):1-9.
[10]HOLLING C S.Resilience and stability of ecological systems[J].Annual Review of Ecology and Systematics,1973(1):1-23.
[11]The Rockefeller Foundation and ARUP.City resilience framework[R].New York:The Rockefeller Foundation and ARUP,2014:982.
[12]刘艳萍,王慧飞,钱洪伟,等.城市韧性:内涵与评价体系研究[J].灾害学,2019(1):8-12.LIU Yanping,WANG Huifei,QIAN Hongwei,et al.Urban Resilience:connotation and evaluation system[J].Journal of Catastrophology,2019(1):8-12.
[13]黄晓军,黄馨.弹性城市及其规划框架初探[J].城市规划,2015,39(2):50-56.HUANG Xiaojun,HUANG Xin.Resilient city and its planning framework[J].City Planning Review,2015,39(2):50-56.
[14]TOURBIER J.A methodology to define flood resilience[C]//EGU General Assembly Conference Abstracts,2012:13902.
[15]HUDEC O,REGGIANI A,SIEROVA M.Resilience capacity and vulnerability:a joint analysis with reference to Slovak urban districts[J].Cities,2018,73:24-35.
[16]陈长坤,陈以琴,施波,等.雨洪灾害情境下城市韧性评估模型[J].中国安全科学学报,2018,28(4):1-6.CHEN Changkun,CHEN Yiqin,SHI Bo,et al.Urban resilience assessment model under rainstorm and flood disaster scenarios [J].China Safety Science Journal,2018,28(4):1-6.
[17]ORENCIO P M,FUJII M.A localized disaster-resilience index to assess coastal communities based on an analytic hierarchy process (AHP)[J].International Journal of Disaster Risk Reduction,2013,15:62-75.

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备注/Memo

备注/Memo:
收稿日期: 2024-06-06
* 基金项目: 国家自然科学基金项目(52278472)
作者简介: 尹萌萌,硕士,助理研究员,主要研究方向为城市公共安全与风险管理。
更新日期/Last Update: 2024-10-31