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)

Energia- ja konetekniikan laitos

Tietoaineisto

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.

Koska saatavilla	22 tammik. 2019
Julkaisija	Mendeley Data

Dataset Licences

CC-BY-4.0

DOI-pysyväislinkki
10.17632/gjr252vgpd.1

Pääsy aineistoon

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 helmik. 2019, julkaisussa: Marine Pollution Bulletin. 139, s. 440-458 19 Sivumäärä
Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu

Open access
Tiedosto
57 Sitaatiot (Scopus)

269 Lataukset (Pure)

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DataSetCite

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

Description

Dataset Licences

DOI-pysyväislinkki

Pääsy aineistoon

Tutkimustuotos

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

Siteeraa tätä