Risk Assessment of Gas Leakage from School Laboratories Based on the Bayesian Network.

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ID: 83744
2020
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Ranked #193 of 862 articles by views in International journal of environmental research and public health

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Abstract
In recent years, concerns about the safety of laboratories have been caused by several serious accidents in school laboratories. Gas leaks in the laboratory are often difficult to detect and cause serious consequences. In this study, a comprehensive model based on the Bayesian network is established for the assessment of the gas leaks evolution process and consequences in school laboratories. The model can quantitatively evaluate the factors affecting the probability and consequences of gas leakage. The results show that a model is an effective tool for assessing the risk of gas leakage. Among the various factors, the unsafe behavior of personnel has the greatest impact on the probability of gas leakage, and the concentration of toxic and harmful gases is the main factor affecting the consequences of accidents. Since the probability distribution of each node is obtained based on the experience of experts, there is a deviation in the quantitative calculation of the probability of gas leakage and consequences, but does not affect the risk analysis. This study could quantitatively assess the probability and consequences of gas leakage in the laboratory, and identify vulnerabilities, which helps improve the safety management level of gas in the school laboratory and reducing the possibility of gas leakage posing a threat to personal safety.
Reference Key
zhang2020riskinternational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Zhang, Xiao;Hu, Xiaofeng;Bai, Yiping;Wu, Jiansong;
Journal International journal of environmental research and public health
Year 2020
DOI
E426
URL
Keywords
risk assessment bayesian network gas leakage laboratory safety end-to-end deep reinforcement learning collision avoidance ddpg autonomous path planning unmanned ships affective states cattle welfare ear positions expressive behaviour human–animal interactions positive emotion stroking

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