Patterns of Fatal Explosion Accidents in China
- https://doi.org/10.2991/jracr.k.200714.001How to use a DOI?
- Fatal explosion accident, pattern, statistical analysis, Cramer’s coefficient
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/jracr.k.200714.001 ID - Pang2020 ER -