Literature DB >> 27207023

Risk management model of winter navigation operations.

Osiris A Valdez Banda1, Floris Goerlandt2, Vladimir Kuzmin3, Pentti Kujala2, Jakub Montewka4.   

Abstract

The wintertime maritime traffic operations in the Gulf of Finland are managed through the Finnish-Swedish Winter Navigation System. This establishes the requirements and limitations for the vessels navigating when ice covers this area. During winter navigation in the Gulf of Finland, the largest risk stems from accidental ship collisions which may also trigger oil spills. In this article, a model for managing the risk of winter navigation operations is presented. The model analyses the probability of oil spills derived from collisions involving oil tanker vessels and other vessel types. The model structure is based on the steps provided in the Formal Safety Assessment (FSA) by the International Maritime Organization (IMO) and adapted into a Bayesian Network model. The results indicate that ship independent navigation and convoys are the operations with higher probability of oil spills. Minor spills are most probable, while major oil spills found very unlikely but possible.
Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Accidental oil spill; Bayesian networks; Formal Safety Assessment; Maritime risk management; Maritime safety; Winter navigation operations

Mesh:

Year:  2016        PMID: 27207023     DOI: 10.1016/j.marpolbul.2016.03.071

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  1 in total

1.  Dynamic Human Error Assessment in Emergency Using Fuzzy Bayesian CREAM.

Authors:  Marzieh Abbasinia; Omid Kalatpour; Majid Motamedzadeh; Alireza Soltanian; Iraj Mohammadfam
Journal:  J Res Health Sci       Date:  2020-02-16
  1 in total

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