Civil gas energy accidents in China from 2012–2021

•Time and location distribution characteristics of 6063 gas accidents were analysed.•Causes, types and their correlations of 2746 gas accidents were analysed.•Proposed grade classification method for civil gas energy accidents in China.•A time series model was developed to predict the number of civi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of Safety Science and Resilience = An quan ke xue yu ren xing (Ying wen) 2023-12, Vol.4 (4), p.348-357
Hauptverfasser: Pang, Lei, Li, Wei, Yang, Kai, Meng, Lu, Wu, Jiansong, Li, Jinglun, Ma, Lishun, Chen, Sisi, Liang, Yan
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•Time and location distribution characteristics of 6063 gas accidents were analysed.•Causes, types and their correlations of 2746 gas accidents were analysed.•Proposed grade classification method for civil gas energy accidents in China.•A time series model was developed to predict the number of civil gas accidents.•Suggest corresponding safety measures for different gas energy accidents in China. In this study, civil gas energy accidents reported by the China Gas Network and related organizations from 2012 to 2021 were collected, and a comprehensive multidimensional correlation analysis was conducted considering factors such as accident timing, geography, causes, and casualties. The results identified July and August, Mondays and Sundays, and the morning, mid-day, and evening cooking times as the high-incidence months, days, and times for gas accidents, respectively. Gas accidents were found to occur more frequently in eastern coastal areas, provincial capitals, and larger cities, while residential and construction sites were identified as high-risk areas for gas accidents. Explosions were the most prevalent type of gas accident, followed by leaks, fires, and poisoning. Third-party construction and valve issues were identified as the primary factors contributing to gas leakage, whereas cooking was identified as the most common ignition source. An analysis of the Pearson correlation coefficient indicated a significant correlation among the gas accident factors. Moreover, a time-series prediction model was developed to forecast gas accidents in China, with the results demonstrating fluctuating gas accidents. This study proposes targeted preventive measures in terms of publicity, education, equipment, and facilities to provide scientific support to government units to improve civil gas energy security measures.
ISSN:2666-4496
2666-4496
DOI:10.1016/j.jnlssr.2023.08.002