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Urban Flood Resilience Assessment of Zhengzhou Considering Social Equity and Human Awareness
被引:5
|作者:
Zhang, Yunlan
[1
,2
]
Jiang, Xiaomin
[3
]
Zhang, Feng
[1
,2
]
机构:
[1] Zhejiang Univ, Sch Earth Sci, 866 Yuhangtang Rd, Hangzhou 310058, Peoples R China
[2] Zhejiang Prov Key Lab Geog Informat Sci, 866 Yuhangtang Rd, Hangzhou 310058, Peoples R China
[3] Zhejiang Univ Sci & Technol, Sch Civil Engn & Architecture, 318 Liuhe Rd, Hangzhou 310023, Peoples R China
来源:
基金:
国家重点研发计划;
关键词:
urban flood resilience;
urban resilience;
resilience assessment;
flood disaster;
social media data;
DISASTER-RESILIENCE;
CLIMATE-CHANGE;
COMMUNITIES;
PROVINCE;
INDEX;
D O I:
10.3390/land13010053
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Flooding is one of the world's most devastating natural disasters, and the effects of global climate change further intensify its impact. In the context of flood management, urban resilience emerges as a promising perspective. While existing urban resilience assessment systems predominantly encompass economic, social, ecological, and infrastructural factors, they often neglect crucial dimensions like social equity and human awareness. We aimed to assess urban flood resilience considering social equity and human awareness. We have developed an indicator system called the 3-Dimentional Disaster Urban Flood Resilience Index System (3D-UFRIS) to address the issue. We also introduced social media data to explore the use of big data in urban flood resilience assessment. Scrapy was used to collect data and AHP-EWM was used to calculate the results. Our findings reveal a layered distribution of urban flood resilience of Zhengzhou, categorized into five levels: highest, higher, medium, lower, and lowest resilience. Notably, the highest resilience areas, covering a mere 3.06% of the total area, were primarily situated in the Jinshui district, characterized by strong economic activity, high public awareness, and a history of waterlogging incidents. Conversely, the lowest resilience areas, encompassing the largest portion at 36%, were identified in Zhongmou County, Xinzheng, and Shangjie District, marked by lower public awareness and limited medical accessibility. This study presents a pioneering approach to comprehending urban disaster resilience, offering valuable insights into mitigating flood-related risks and enhancing urban planning strategies.
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页数:22
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