dc.contributor.author | dos Santos, Heracleto | |
dc.contributor.author | Gao, Xuehong | |
dc.contributor.author | Huang, Guozhong | |
dc.date.accessioned | 2023-10-25T06:14:51Z | |
dc.date.available | 2023-10-25T06:14:51Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Sborník vědeckých prací Vysoké školy báňské - Technické univerzity Ostrava. Řada bezpečnostní inženýrství. 2023, roč. 18, č. 1, s. 1-13 : il. | cs |
dc.identifier.issn | 1801-1764 | |
dc.identifier.uri | http://hdl.handle.net/10084/151467 | |
dc.description.abstract | The natural gas distribution system is made up of an extensive network of pipelines
and some equipment such as regulators, valves, filters, meters and converters that
require maintenance to maintain operation and identify any gas leaks in advance.
The risk analysis process is widely used in the gas industries to locate faults in operations
and processes that could cause accidental release of chemicals, fire or explosion and
to provide decisions to improve operational risk safety. It was concluded that for risk
analysis (PRA) accidents occur due to lack of maintenance in the facilities and equipment
set and the Eisenberg Vulnerability Method provided an assessment of the probability of
damage to infrastructure and damage to the environment for 1%, 50% and 99% lethality. | cs |
dc.language.iso | en | cs |
dc.publisher | Vysoká škola báňská - Technická univerzita Ostrava | cs |
dc.relation.ispartofseries | Sborník vědeckých prací Vysoké školy báňské - Technické univerzity Ostrava. Řada bezpečnostní inženýrství | cs |
dc.relation.uri | https://doi.org/10.35182/tses-2023-0001 | cs |
dc.rights | © Vysoká škola báňská - Technická univerzita Ostrava | cs |
dc.rights | Attribution-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nd/4.0/ | * |
dc.subject | risk assessment | cs |
dc.subject | natural gas | cs |
dc.subject | gas distribution networks | cs |
dc.subject | probit equation | cs |
dc.title | Risk Assessment in Gas Distribution Network Leaks Using the Preliminary Risk Analysis and Eisenberg Vulnerability Method | cs |
dc.type | article | cs |
dc.identifier.doi | 10.35182/tses-2023-0001 | |
dc.rights.access | openAccess | cs |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |