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

Published: 22 Jan 2019 | Version 1 | DOI: 10.17632/gjr252vgpd.1
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Description of this data

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.

Experiment data files

This data is associated with the following publication:

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

Published in: Marine Pollution Bulletin

Latest version

  • Version 1

    2019-01-22

    Published: 2019-01-22

    DOI: 10.17632/gjr252vgpd.1

    Cite this dataset

    Lu, Liangliang; Goerlandt, Floris; Valdez Banda, Osiris A. ; Kujala, Pentti; Höglund, Anders; Arneborg, Lars (2019), “Data for: A Bayesian Network risk model for assessing oil spill recovery effectiveness in the ice-covered Northern Baltic Sea”, Mendeley Data, v1 http://dx.doi.org/10.17632/gjr252vgpd.1

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Categories

Risk Analysis, Maritime Transportation, Marine Pollution

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

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