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

Liangliang Lu (Creator)
Floris Goerlandt (Contributor)
Osiris Valdez Banda (Contributor)
Pentti Kujala (Contributor)
Anders Höglund (Contributor)
Lars Arneborg (Contributor)

Department of Energy and Mechanical Engineering

Dataset

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.

Date made available	22 Jan 2019
Publisher	Mendeley Data

Dataset Licences

CC-BY-4.0

DOI
10.17632/gjr252vgpd.1

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Creative Commons Attribution 4.0 International

1 Article

A Bayesian Network risk model for assessing oil spill recovery effectiveness in the ice-covered Northern Baltic Sea
Lu, L., Goerlandt, F., Valdez Banda, O., Kujala, P., Höglund, A. & Arneborg, L., 1 Feb 2019, In: Marine Pollution Bulletin. 139, p. 440-458 19 p.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
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50 Citations (Scopus)

278 Downloads (Pure)

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

Description

Dataset Licences

DOI

Access Dataset

Research output

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

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