Patterns of Fatal Explosion Accidents in China

Authors

Lei Pang^{1, 2,} , Zhiwen Zhang¹, Kai Yang^{1, 2,} , Pengfei Lv^{1, 2}, Siheng Sun^{1, 2, *}

¹School of Safety Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China

²Institute of Chemical Hazard Detection and Control, Beijing Academy of Safety Engineering and Technology, Beijing 102617, China

^*Corresponding author. Email: jiushiwossh@163.com

DOI

10.2991/jracr.k.200714.001How to use a DOI?

Keywords

Fatal explosion accident; pattern; statistical analysis; Cramer’s coefficient

Abstract

Explosion accidents usually lead to serious fatality and disability. To investigate the patterns of Fatal Explosion Accidents (FEA), a database containing 1835 FEA that happened in China during 2001–2018 was built. Statistical analysis was made based on the year, month, time interval of day, day of week, province, type of accident, place of occurrence and severity of accident. The result shown that, (1) FEA were more likely to occur in November; (2) 08: 00-10: 00 and 14: 00-16: 00 were two time intervals of frequent accident occurrence; (3) hazardous chemical FEA mostly happened on Tuesday and Wednesday, whereas pressurized container FEA often happened on Saturday; (4) coal mine gas FEA still accounted for a dominant proportion with the highest fatality rate. In addition, the correlation was measured by calculating Cramer’s coefficients, which indicated that the severities and types of FEA were significantly correlated with month. To be specific, (1) major and extraordinarily serious FEA were more likely to occur in November; (2) most of gas FEA were observed in April; (3) gunpowder and dust FEA happened most commonly in May; (4) more fireworks FEA happened in November. The patterns found in this study will provide explosion accident prevention and control with references.

Copyright

© 2020 The Authors. Published by Atlantis Press B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Lei Pang
AU  - Zhiwen Zhang
AU  - Kai Yang
AU  - Pengfei Lv
AU  - Siheng Sun
PY  - 2020
DA  - 2020/08/03
TI  - Patterns of Fatal Explosion Accidents in China
JO  - Journal of Risk Analysis and Crisis Response
SP  - 54
EP  - 63
VL  - 10
IS  - 2
SN  - 2210-8505
UR  - https://doi.org/10.2991/jracr.k.200714.001
DO  - 10.2991/jracr.k.200714.001
ID  - Pang2020
ER  -