Derivation and transmission analysis of urban flood disaster chain based on knowledge graph

被引：0
|
作者：
Wang H. [1 ,2 ]
Du W. [3 ]
Liu J. [1 ,2 ]
Wang J. [1 ,2 ]
Mei C. [1 ,2 ]
机构：
[1] State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing
[2] Key Laboratory of River Basin Digital Twinning, Ministry of Water Resources(Preparation), Beijing
[3] Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing
来源：
Shuikexue Jinzhan/Advances in Water Science | 2024年 / 35卷 / 02期
基金：
中国国家自然科学基金; 国家重点研发计划;
关键词：
disaster chain; disaster chain deduction; disaster chain propagation; knowledge graph; spatiotemporal characteristics; urban flooding;
D O I：
10.14042/j.cnki.32.1309.2024.02.001
中图分类号：
学科分类号：
摘要：
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.
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页码：185 / 196
页数：11
相关论文
共 36 条
  • [1] ZHANG H P, LI M, HE R M, Et al., Application scenarios and corresponding technical strategies of urban flood modeling, Advances in Water Science, 33, 3, pp. 452-461, (2022)
  • [2] O'DONNELL E C, THORNE C R., Drivers of future urban flood risk, Philosophical Transactions Series A, Mathematical, Physical, and Engineering Sciences, 378, 2168, (2020)
  • [3] MA Y, CUI Y T, TAN H G, Et al., Case study: diagnosing China′s prevailing urban flooding: causes, challenges, and solutions, Journal of Flood Risk Management, 15, 3, (2022)
  • [4] PARK K, LEE M H., The development and application of the urban flood risk assessment model for reflecting upon urban planning elements, Water, 11, 5, (2019)
  • [5] LIU Y Z, TANG W W, ZHANG W T, Et al., Review of flood disaster risk analysis based on disaster chain, Water Resources Protection, 37, 1, pp. 20-27, (2021)
  • [6] LIU J H, MEI C, LIU H W, Et al., Key scientific and technological issues of joint prevention and control of river flood and urban waterlogging disaster chain in megacities, Advances in Water Science, 34, 2, pp. 172-181, (2023)
  • [7] LIU W, HE S M., Dynamic simulation of a mountain disaster chain: landslides, barrier lakes, and outburst floods, Natural Hazards, 90, 2, pp. 757-775, (2018)
  • [8] LI Y, ZHOU W H, SHEN P., Flood risk assessment of loss of life for a coastal city under the compound effect of storm surge and rainfall, Urban Climate, 47, (2023)
  • [9] WANG H L, HU Y X, GUO Y, Et al., Urban flood forecasting based on the coupling of numerical weather model and stormwater model: a case study of Zhengzhou City, Journal of Hydrology: Regional Studies, 39, (2022)
  • [10] LIU J H, PEI Y J, MEI C, Et al., Waterlogging cause and disaster prevention and control of “7·20” torrential rain in Zhengzhou, Journal of Zhengzhou University (Engineering Science), 44, 2, pp. 38-45, (2023)
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