Risk Assessment of Gas Leakage from School Laboratories Based on the Bayesian Network
Bibliographic Data
| ID | 15499412 |
|---|---|
| Authors | Xiao Zhang (0000-0002-0342-3282, China People's Public Security University), Xiaofeng Hu (0000-0003-3754-9913, China People's Public Security University, corresponding author), Yiping Bai (0000-0001-6699-4827, China University of Mining and Technology), Jiansong Wu (0000-0001-9648-6479, China University of Mining and Technology) |
| Year | 2020 |
| Volume | 17 |
| Issue | 2 |
| Pages | 426-426 |
| Publication date | 2020-01-08 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph17020426 |
| PMID | 31936352 |
| OpenAlex | W3000565463 |
| Language | EN |
| Citations received | 3 |
| References cited | 38 |
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
Bayesian network · Computer security · Leakage (economics · Risk analysis (engineering · Risk assessment · Chemical Safety and Risk Management · Computer Science · Environmental Science · Medicine · Occupational Health and Safety Research · Risk and Safety Analysis · Artificial Intelligence
The risk concept—historical and recent development trends
Upper and Lower Probabilities Induced by a Multivalued Mapping
Evaluating the Safety Risk of Rural Roadsides Using a Bayesian Network Method
Risk Assessment of An Earthquake-Collapse-Landslide Disaster Chain by Bayesian Network and Newmark Models
| Citations per year | 0.43 |
|---|---|
| Citation span | 2019 - 2021 (3) |
| Highly cited | No |