Exploring the temporal structure of time series data for hazardous liquid pipeline incidents based on complex network theory

The pipelines that transport hazardous liquids (e.g., petroleum and petroleum products) across cities or countries are critical to the energy-supply infrastructure, and they are crucial for the reliable and secure operation of a city. Estimating the occurrence rate of serious pipeline accidents with...

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Veröffentlicht in:	International journal of critical infrastructure protection Jg. 26; S. 100308
Hauptverfasser:	Shengli, Liu, Yongtu, Liang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.09.2019
Schlagworte:	Complex networks Hazardous liquid pipelines Hierarchical Bayesian model Visibility graph algorithm Visibility graph algorithm Hazardous liquid pipelines Complex networks Hierarchical Bayesian model
ISSN:	1874-5482, 2212-2087
Online-Zugang:	Volltext
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