A Bayesian Network risk model for assessing oil spill recovery effectiveness in the ice-covered Northern Baltic Sea-Reference-Cited by-同舟云学术

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

Published:2019-02 Issue: Volume:139 Page:440-458
ISSN:0025-326X
Container-title:Marine Pollution Bulletin
language:en
Short-container-title:Marine Pollution Bulletin

Author:

Lu Liangliang,Goerlandt Floris^ORCID,Valdez Banda Osiris A.,Kujala Pentti,Höglund Anders,Arneborg Lars

Funder

European Union Seventh Framework Programme

Academy of Finland

Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning

Ocean Frontier Institute

Safe Navigation & Environmental Protection

Publisher

Elsevier BV

Subject

Pollution,Aquatic Science,Oceanography

Reference57 articles.

1. A state-of-the-art review of fate and transport of oil spills in open and ice-covered water;Afenyo;Ocean Eng.,2016

2. Dynamic fugacity model for accidental oil release during Arctic shipping;Afenyo;Mar. Pollut. Bull.,2016

3. On the future navigability of Arctic sea routes: high-resolution projections of the Arctic Ocean and sea ice;Aksenov;Mar. Policy,2017

4. Seatrack Web: the HELCOM Tool for oil spill prediction and identification of illegal polluters;Ambjörn,2014

5. Quantifying uncertainty under a predictive, epistemic approach to risk analysis;Apeland;Reliab. Eng. Syst. Saf.,2002

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1. Marine oil spill analyses based on Korea Coast Guard big data from 2017 to 2022 and application of data-driven Bayesian Network;Journal of Cleaner Production;2024-01

2. Sustainability and capability-based assessment of marine oil spill response technologies using a decision support system under decomposed fuzzy set;Environmental Monitoring and Assessment;2023-11-11

3. Risk analysis of waterlogging in a big city based on a bow-tie Bayesian network model, using the megacity of Wuhan as an example;Frontiers in Environmental Science;2023-10-17

4. Research in marine accidents: A bibliometric analysis, systematic review and future directions;Ocean Engineering;2023-09

5. Nonlinear estimation of material abundances in oil-polluted sea-ice images with low background concentrations;Remote Sensing Letters;2023-07-03

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