Quantitative risk estimation of CNG station by using fuzzy bayesian networks and consequence modeling

Quantitative risk estimation of CNG station by using fuzzy bayesian networks and consequence modeling

Abstract As one of the potential explosions and inflammation, compressed natural gas (CNG) stations in urban areas cause irreparable losses and casualties. Estimating risk assessment in gas stress based on coherent uses can reduce accidents in urban areas. The purpose of the present study was to est...

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Bibliographic Details
Main Authors: Behzad Abbasi Kharajou, Hassan Ahmadi, Masoud Rafiei, Saber Moradi Hanifi
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
QRA
FFTA
Bow-tie
Bayesian network
CNG station
Online Access:https://doi.org/10.1038/s41598-024-54842-y

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