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1 Ergebnisse
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Scenario deduction of Natech accident based on dynamic Baye..:
Hao, Jiashun
;
Liu, Lijuan
;
Long, Zhaoyue
...
Journal of Loss Prevention in the Process Industries. 83 (2023) - p. 105067 , 2023
Link:
https://doi.org/10.1016/j.jlp.2023.105067
RT Journal T1 <Title>Scenario deduction of Natech accident based on dynamic Bayesian network: A case study of landslide accident in a liquor storage tank area in Guizhou Province, China</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jlp.2023.105067&Exemplar=1&LAN=DE A1 Hao, Jiashun A1 Liu, Lijuan A1 Long, Zhaoyue A1 Chu, Yanyu A1 Zhang, Dongyao A1 Chen, Xianfeng A1 Huang, Chuyuan PB Elsevier BV YR 2023 SN 0950-4230 JF Journal of Loss Prevention in the Process Industries VO 83 SP 105067 LK http://dx.doi.org/https://doi.org/10.1016/j.jlp.2023.105067 DO https://doi.org/10.1016/j.jlp.2023.105067 SF ELIB - SuUB Bremen
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