Data for: A Bayesian Network risk model for assessing oil spill recovery effectiveness in the ice-covered Northern Baltic Sea

Published: 22 January 2019| Version 1 | DOI: 10.17632/gjr252vgpd.1
Contributors:
Liangliang Lu, Floris Goerlandt,
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Description

A Bayesian Network (BN) model for assessing oil spill recovery effectiveness, focusing on mechanical recovery is presented. It aims to generate holistic understanding and insights about the oil spill-to-recovery phase, and to estimate oil recovery effectiveness in representative winter conditions. The model is built with GeNIE.

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Categories

Risk Analysis, Maritime Transportation, Marine Pollution

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