Scenario Expression Model of Zhengzhou Rainstorm Subway Disaster Event Based on Knowledge Element Theory

Yongcun Ren and Ren Zhang ()
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Yongcun Ren: National University of Defense Technology, Institute of Meteorology and Oceanology
Ren Zhang: National University of Defense Technology, Institute of Meteorology and Oceanology

A chapter in Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022), 2023, pp 192-198 from Springer

Abstract: ABSTRACT The sudden subway disaster caused by the torrential rain (7.20 rainstorm event) in Zhengzhou, Henan Province on July 20, 2021 is one of the few major urban casualties in recent years. In view of the characteristics of Zhengzhou rainstorm subway disaster event with many elements, complex relationships and high measurability of element attributes, the knowledge element theory in the field of informatics is applied to the scenario expression of this event. Firstly, the characteristic elements of Zhengzhou rainstorm subway disaster event and the typical attributes of these elements are extracted. Then, the knowledge element expression model is established and applied to the scenario analysis of Zhengzhou rainstorm subway disaster events, and the driving mode of the evolution and development of Zhengzhou rainstorm subway disaster events is analyzed. This study attempts to describe the basic composition and driving relationship of Zhengzhou rainstorm subway disaster scenario from the micro perspective and the essential level, so as to provide an idea for the extraction, storage and retrieval of information about similar events of Zhengzhou rainstorm subway disaster, and provide a reference for risk prevention and response countermeasures to deal with and prevent similar events of "Zhengzhou rainstorm subway disaster".

Keywords: Scenario expression Zhengzhou rainstorm subway disaster; knowledge element; scenario expression (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-194-4_27

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DOI: 10.2991/978-94-6463-194-4_27

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