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Author:

Wang, Hao (Wang, Hao.) | Du, Wei (Du, Wei.) | Liu, Jiahong (Liu, Jiahong.) | Wang, Jia (Wang, Jia.) | Mei, Chao (Mei, Chao.)

Indexed by:

EI Scopus

Abstract:

Urban flood disasters exhibit chain- like propagation characteristics, and analyzing the transmission laws and spatiotemporal evolution features of urban flood disaster chains is of significant importance for disrupting the disaster chain. This study aims to use two events from the '7·20' unprecedented heavy rain and flood disaster in Zhengzhou—the flooding of metro line 5 and the flooding of the Beijing- Guangzhou expressway tunnel—as case studies. A knowledge graph was constructed to reveal the transmission laws of the disaster chain. By reviewing the evolution process of the disaster chain, triggering points, detonation points, diffusion points, and amplification points within the disaster chain were identified. The study focused on analyzing the disaster-causing mechanisms and spatiotemporal characteristics of the disaster chain, presenting the impact levels of different disaster chains in the form of disaster curves. Analysis of typical cases of the '7·20' flood disaster in Zhengzhou indicates that there were several chances to break the disaster chains in both events. In the disaster relief process, the influence of predisaster and in- disaster factors should be comprehensively considered, and decisive measures should be taken to break the chain. It is crucial to fully leverage the timeliness of emergency measures, promptly block detonation and diffusion points, and reduce losses from flood disasters. This method can be applied to the retrospective analysis of chain-like disasters, guiding the analysis of the disaster- causing mechanisms and entry points for disaster relief in specific events. © 2024 International Research and Training Center on Erosion and Sedimentation and China Water and Power Press. All rights reserved.

Keyword:

Floods Electric power transmission Transmissions Detonation Emergency services

Author Community:

  • [ 1 ] [Wang, Hao]State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing; 100038, China
  • [ 2 ] [Wang, Hao]Key Laboratory of River Basin Digital Twinning, Ministry of Water Resources(Preparation), Beijing; 100038, China
  • [ 3 ] [Du, Wei]Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Liu, Jiahong]State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing; 100038, China
  • [ 5 ] [Liu, Jiahong]Key Laboratory of River Basin Digital Twinning, Ministry of Water Resources(Preparation), Beijing; 100038, China
  • [ 6 ] [Wang, Jia]State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing; 100038, China
  • [ 7 ] [Wang, Jia]Key Laboratory of River Basin Digital Twinning, Ministry of Water Resources(Preparation), Beijing; 100038, China
  • [ 8 ] [Mei, Chao]State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing; 100038, China
  • [ 9 ] [Mei, Chao]Key Laboratory of River Basin Digital Twinning, Ministry of Water Resources(Preparation), Beijing; 100038, China

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Source :

Advances in Water Science

ISSN: 1001-6791

Year: 2024

Issue: 2

Volume: 35

Page: 185-196

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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