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[1]陶若祎,崔华莹,李浩源,等.基于贝叶斯网络和耦合度模型的城市暴雨内涝风险影响机制研究*[J].中国安全生产科学技术,2024,20(3):163-171.[doi:10.11731/j.issn.1673-193x.2024.03.023]
　TAO Ruoyi,CUI Huaying,LI Haoyuan,et al.Study on influence mechanism of urban rainstorm waterlogging risk based on Bayesian network and coupling degree model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2024,20(3):163-171.[doi:10.11731/j.issn.1673-193x.2024.03.023]
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基于贝叶斯网络和耦合度模型的城市暴雨内涝风险影响机制研究*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
20
期数:
2024年3期
页码:
163-171
栏目:
职业安全卫生管理与技术
出版日期:
2024-03-31

文章信息/Info

Title:
Study on influence mechanism of urban rainstorm waterlogging risk based on Bayesian network and coupling degree model
文章编号:
1673-193X(2024)-03-0163-09
作者:
陶若祎; 崔华莹; 李浩源; 王健; 王亚飞; 赵金龙
（1.中国矿业大学（北京） 应急管理与安全工程学院，北京 100083；
2.北京市科学技术研究院 城市系统工程研究所，北京 100089）
Author(s):
TAO Ruoyi;  CUI Huaying;  LI Haoyuan;  WANG Jian;  WANG Yafei;  ZHAO Jinlong
(1.School of Emergency Management and Safety Engineering,China University of Mining and Technology (Beijing),Beijing 100083,China;
2.Institute of Urban Systems Engineering,Beijing Academy of Science and Technology,Beijing 100089,China)
关键词:
暴雨内涝; 贝叶斯; 指标体系; 因素分析; 案例验证
Keywords:
rainstorm waterlogging;  Bayesian;  index system;  factor analysis;  case validation
分类号:
X915.5
DOI:
10.11731/j.issn.1673-193x.2024.03.023
文献标志码:
A
摘要:
为研究城市内涝事故致灾因素之间的关联性以及系统展示多因素对整个灾变过程的影响，运用贝叶斯网络和耦合度模型对暴雨灾害链的演化关键参数进行表征，分析单因素或多因素耦合对暴雨内涝的影响。研究结果表明：单因素分析时，环境因素是造成城市内涝的主要原因（80%），其次是城市硬件系统（78%）；双因素分析得出城市硬件系统-环境耦合下城市内涝发生概率最大（82%）；采用三因素分析得出城市硬件-环境-管理三者耦合后最易导致城市内涝（83%）。随后，以北京“23·7”特大暴雨灾害为例，得出模型评估结果与实际情况具有较好的相符性，并提出相应的预防措施。研究结果对未来城市内涝灾害防控具有指导意义。
Abstract:
In order to study the correlation between the disaster-causing factors of urban waterlogging accidents and systematically present the influence of multiple factors on the whole catastrophic process,the Bayesian network and coupling degree model were used to characterize the key parameters of the evolution of rainstorm disaster chain,and the influence of single factor or multiple factors coupling on rainstorm waterlogging was analyzed.The results show that in the single factor analysis,the environmental factors are the main cause of urban waterlogging (80%),followed by urban hardware system (78%).In the double factors analysis,the probability of urban waterlogging is the highest under the coupling of urban hardware system and environment (82%).Further more,in the three factors analysis,the coupling of urban hardware system,environment and management is the most likely to cause urban waterlogging (83%).Subsequently,taking the “23·7” heavy rainstorm disaster in Beijing as an example,it is concluded that the model evaluation results are in good agreement with the actual situation.Finally,the corresponding preventive measures are proposed.The research results have guiding significance for the prevention and control of urban waterlogging disasters in the future.

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相似文献/References:

[1]王军武,田梦圆,潘子瑶,等.地铁车站暴雨内涝应急响应投入策略研究*[J].中国安全生产科学技术,2022,18(5):11.[doi:10.11731/j.issn.1673-193x.2022.05.002]
　WANG Junwu,TIAN Mengyuan,PAN Ziyao,et al.Study on input strategy of emergency response to rainstorm and waterlogging in subway stations[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(3):11.[doi:10.11731/j.issn.1673-193x.2022.05.002]

备注/Memo

备注/Memo:
收稿日期： 2023-10-14
* 基金项目： 北京市科学技术研究院萌芽计划项目（BGS202212）；北京市科学技术研究院创新培育项目（23CB087）
作者简介： 陶若祎，本科生，主要研究方向为风险评估。
通信作者： 王健，博士，副研究员，主要研究方向为城市风险评估和应急管理。
更新日期/Last Update: 2024-04-07