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珠三角城市群内涝灾害韧性综合评估及障碍因子识别OA北大核心CHSSCDCSTPCD

Comprehensive assessment and obstacle factor recognition of waterlogging disaster resilience in Pearl River Delta urban agglomeration

中文摘要英文摘要

为解决珠三角地区城市治理中亟须应对的城市内涝灾害问题,在构建城市内涝灾害韧性综合评估指标体系的基础上,运用CRITIC-TOPSIS组合模型与韧性发展度测算和分析了 2022年珠三角城市群内涝灾害韧性的空间分布、维度差异与类别异质性,并采用障碍度模型识别了其障碍因子.结果表明:珠三角地区内涝灾害韧性空间分布上以广州、深圳为中心向周边递减,呈现"中心高四周低"特征;各城市在经济发展、社会生活、生态环境、基础设施与人口素养等维度的发展上具有显著差异性;在内涝灾害韧性抵抗力、适应力与恢复力方面广州、深圳两城具有显著优势,珠三角地区各城市总体处于"梯队式"发展趋势;经济发展是惠州、江门与肇庆的首要障碍因子,社会生活是佛山、东莞与中山的首要障碍因子,生态环境是广州与珠海的首要障碍因子.

In order to address the urgent need to deal with the problem of urban waterlogging disaster in urban governance in the Pearl River Delta(PRD)region,on the basis of constructing an indicator system for assessing the resilience of urban waterlogging disaster,the spatial distribution,dimensional differences and heterogeneity of the waterlogging disaster resilience of the PRD urban agglomeration in 2022 are measured and analyzed using the CRITIC-TOPSIS combination model and the resilience development degree,and the obstacle model is adopted to identify the obstacle factors.The results show that the spatial distribution of waterlogging resilience in the PRD region decreases from Guangzhou and Shenzhen to the surrounding area,presenting the characteristics of"High in the center,low around the perimeter".The development of each city in the dimensions of economy,society,ecology,infrastructure and population is significantly different.In the categories of resistance,adaptability and recovery to waterlogging disaster,Guangzhou and Shenzhen have the characteristics of"overall excellence",and the development trend of the region is"echelon".In addition,economic development is the primary obstacle to the improvement of the resilience of waterlogging disasters in Huizhou,Jiangmen and Zhaoqing,social life is the primary obstacle to the improvement of the resilience of waterlogging disasters in Foshan,Dongguan and Zhongshan,and ecological environment is the primary obstacle to the improvement of the resilience of waterlogging disasters in Guangzhou and Zhuhai.

刘丁蓉;杨凯;孙仕

广东财经大学公共管理学院,广东广州 510320

水利科学

城市内涝灾害韧性CRITIC-TOPSIS组合模型障碍因子珠三角城市群

urban waterloggingdisaster resilienceCRITIC-TOPSIS combination modelobstacle factor recognitionPearl River Delta urban agglomeration

《水利经济》 2024 (004)

23-29,38 / 8

10.3880/j.issn.1003-9511.2024.04.004

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