Data for: A Bayesian Network risk model for assessing oil spill recovery effectiveness in the ice-covered Northern Baltic Sea
Published: 22-01-2019| Version 1 | DOI: 10.17632/gjr252vgpd.1
Contributors:
Liangliang Lu,
Floris Goerlandt,
Osiris A. Valdez Banda,
Pentti Kujala,
Anders Höglund,
Lars Arneborg
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.