Literature DB >> 17178131

Intelligent ship traffic monitoring for oil spill prevention: risk based decision support building on AIS.

Magnus S Eide1, Oyvind Endresen, Per Olaf Brett, Jon Leon Ervik, Kjell Røang.   

Abstract

The paper describes a model, which estimates the risk levels of individual crude oil tankers. The intended use of the model, which is ready for trial implementation at The Norwegian Coastal Administrations new Vardø VTS (Vessel Traffic Service) centre, is to facilitate the comparison of ships and to support a risk based decision on which ships to focus attention on. For a VTS operator, tasked with monitoring hundreds of ships, this is a valuable decision support tool. The model answers the question, "Which ships are likely to produce an oil spill accident, and how much is it likely to spill?".

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Year:  2006        PMID: 17178131     DOI: 10.1016/j.marpolbul.2006.11.004

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


  1 in total

1.  The potential of current- and wind-driven transport for environmental management of the Baltic Sea.

Authors:  Tarmo Soomere; Kristofer Döös; Andreas Lehmann; H E Markus Meier; Jens Murawski; Kai Myrberg; Emil Stanev
Journal:  Ambio       Date:  2014-02       Impact factor: 5.129

  1 in total

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