3.8 Proceedings Paper

Relationship Analysis of Causal Factors in Coal and Gas Outburst Accidents Based on the 24Model

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.egypro.2016.12.160

Keywords

Chi-square text for independence; classification; coal and gas outburst; relationship analysis; 24Model

Funding

  1. State Key Program of National Natural Science Foundation of China [51534008]

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In order to identify the causal factors of 88 coal and gas outburst accidents and their relationships, this paper proposed a cause classification framework based on the accident causation 2-4 model (24Model). The correlations between the high level and low level causes were analyzed by the Chi-square test for independence. Results showed that root causes, indirect causes and unsafe acts were prevalent in all cases. The main direct causes were violation operation and violation action; the main indirect causes were lack of safety knowledge and low safety awareness; the main radical cause was safety management procedures; the main root causes was safety depending on safety awareness. And there were ten groups of causes with significant correlation between the high level and low level causes. The work paths of different causes in coal and gas outburst accidents were identified by using the proposed cause classification framework. (C) 2016 The Authors. Published by Elsevier

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