dc.contributor.author Lu, Liangliang
dc.contributor.author Goerlandt, Floris
dc.contributor.author Valdez Banda, Osiris
dc.contributor.author Höglund, Anders
dc.contributor.author Arneborg, Lars
dc.date.accessioned 2019-02-25T08:49:10Z
dc.date.available 2019-02-25T08:49:10Z
dc.identifier.citation Lu , L , Goerlandt , F , Valdez Banda , O , Kujala , P , Höglund , A & Arneborg , L 2019 , ' A Bayesian Network risk model for assessing oil spill recovery effectiveness in the ice-covered Northern Baltic Sea ' Marine Pollution Bulletin , vol. 139 , pp. 440-458 . https://doi.org/10.1016/j.marpolbul.2018.12.018 en
dc.identifier.other PURE UUID: 899df1f0-7daa-4078-9d46-19beebfc529e
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/a-bayesian-network-risk-model-for-assessing-oil-spill-recovery-effectiveness-in-the-icecovered-northern-baltic-sea(899df1f0-7daa-4078-9d46-19beebfc529e).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85060248299&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/31412168/1_s2.0_S0025326X18308701_main.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/36809
dc.description.abstract The Northern Baltic Sea, as one of the few areas with busy ship traffic in ice-covered waters, is a typical sea area exposed to risk of ship accidents and oil spills in ice conditions. Therefore, oil spill capability for response and recovery in this area is required to reduce potential oil spill effects. Currently, there are no integrated, scenario-based models for oil spill response and recovery in ice conditions. This paper presents a Bayesian Network (BN) model for assessing oil spill recovery effectiveness, focusing on mechanical recovery. 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. A number of test scenarios are shown and compared to get insight into the impact resulting from different oil types, spill sizes and winter conditions. The strength of evidence of the model is assessed in line with the adopted risk perspective. en
dc.format.extent 440-458
dc.relation.ispartofseries Marine Pollution Bulletin en
dc.relation.ispartofseries Volume 139 en
dc.title A Bayesian Network risk model for assessing oil spill recovery effectiveness in the ice-covered Northern Baltic Sea en
dc.contributor.department Marine Technology
dc.contributor.department Swedish Meteorological and Hydrological Institute
dc.subject.keyword Risk analysis
dc.subject.keyword Oil spill
dc.subject.keyword Recovery effectiveness
dc.subject.keyword Sea ice
dc.subject.keyword Maritime safety
dc.subject.keyword Marine pollution
dc.identifier.urn URN:NBN:fi:aalto-201902251966
dc.identifier.doi 10.1016/j.marpolbul.2018.12.018
dc.contributor.author Lu, Liangliang
dc.contributor.author Goerlandt, Floris
dc.contributor.author Valdez Banda, Osiris
dc.contributor.author Höglund, Anders
dc.contributor.author Arneborg, Lars
dc.date.accessioned 2019-02-25T08:49:10Z
dc.date.available 2019-02-25T08:49:10Z
dc.identifier.citation Lu , L , Goerlandt , F , Valdez Banda , O , Kujala , P , Höglund , A & Arneborg , L 2019 , ' A Bayesian Network risk model for assessing oil spill recovery effectiveness in the ice-covered Northern Baltic Sea ' Marine Pollution Bulletin , vol. 139 , pp. 440-458 . https://doi.org/10.1016/j.marpolbul.2018.12.018 en
dc.identifier.other PURE UUID: 899df1f0-7daa-4078-9d46-19beebfc529e
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/a-bayesian-network-risk-model-for-assessing-oil-spill-recovery-effectiveness-in-the-icecovered-northern-baltic-sea(899df1f0-7daa-4078-9d46-19beebfc529e).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85060248299&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/31412168/1_s2.0_S0025326X18308701_main.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/36809
dc.description.abstract The Northern Baltic Sea, as one of the few areas with busy ship traffic in ice-covered waters, is a typical sea area exposed to risk of ship accidents and oil spills in ice conditions. Therefore, oil spill capab
ility for response and recovery in this area is required to reduce potential oil spill effects. Currently, there are no integrated, scenario-based models for oil spill response and recovery in ice conditions. This paper presents a Bayesian Network (BN) model for assessing oil spill recovery effectiveness, focusing on mechanical recovery. 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. A number of test scenarios are shown and compared to get insight into the impact resulting from different oil types, spill sizes and winter conditions. The strength of evidence of the model is assessed in line with the adopted risk perspective. en
dc.format.extent 440-458
dc.relation.ispartofseries Marine Pollution Bulletin en
dc.relation.ispartofseries Volume 139 en
dc.title A Bayesian Network risk model for assessing oil spill recovery effectiveness in the ice-covered Northern Baltic Sea en
dc.contributor.department Marine Technology
dc.contributor.department Swedish Meteorological and Hydrological Institute
dc.subject.keyword Risk analysis
dc.subject.keyword Oil spill
dc.subject.keyword Recovery effectiveness
dc.subject.keyword Sea ice
dc.subject.keyword Maritime safety
dc.subject.keyword Marine pollution
dc.identifier.urn URN:NBN:fi:aalto-201902251966
dc.identifier.doi 10.1016/j.marpolbul.2018.12.018