Evaluation of the traffic increase in the gulf of Finland during the years 2007-2015 and the effect of the increase on the environment and traffic Chain activities

Annukka Lehikoinen, Emilia Luoma, Maria Hanninen, Jenni Storgard, Sakari Kuikka

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

The maritime traffic in the Gulf of Finland (GoF) is predicted to rapidly grow in the near future, which increases environmental risks through both direct environmental effects and by increasing the accident risk. Increasing oil transportation has increased the probability of a major oil accident in the GoF. A multidisciplinary risk assessment and decision support tool, an Object-Oriented Bayesian Influence Diagram (OOBID) applying Bayesian Belief Networks, has been produced in the SAFGOF project. It consists of sub-models on collisions, causation probability including human factor, the resulting leak size, and the efficacy of open sea oil recovery. The OOBID is based on varying growth predictions, i.e. three alternative scenarios concerning maritime traffic of the GoF in 2015 and the probability of a major oil accident. The OOBID can be used to compare the effectiveness of different preventive management actions against the accident risk. A questionnaire for Finnish maritime experts was formed in the project to study the effectiveness of different maritime safety policy instruments. Vessel Traffic Services and piloting were seen as the most important actions according to Finnish maritime experts. These actions are included in the metamodel as preventive management actions. In addition, a user interface for the model has been developed for the evaluation of spatial ecological risks. The results of the Bayesian Belief Network can be combined with oil drifting maps and with the information on known endangered species populations on the Finnish coastline. The approach produces unique information on the environmental oil accident risks for certain accident-prone areas in the GoF. The multidisciplinary approach developed in the SAFGOF project helps to compare the risks in the different parts of the oil accident cause - effect chain when current knowledge and uncertainty are taken into account.

Original languageEnglish
Title of host publication11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012 : (PSAM11 ESREL 2012)
Place of PublicationRed Hook
PublisherCurran Associates Inc.
Pages5528-5535
ISBN (Print)978-162-276-4365
Publication statusPublished - 2012
MoE publication typeA4 Article in a conference publication
Event11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012, PSAM11 ESREL 2012 - Helsinki, Finland
Duration: 25 Jun 201229 Jun 2012

Conference

Conference11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012, PSAM11 ESREL 2012
CountryFinland
CityHelsinki
Period25/06/1229/06/12

Keywords

  • Bayesian belief networks
  • Decision analysis
  • Gulf of Finland
  • Maritime safety

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    Lehikoinen, A., Luoma, E., Hanninen, M., Storgard, J., & Kuikka, S. (2012). Evaluation of the traffic increase in the gulf of Finland during the years 2007-2015 and the effect of the increase on the environment and traffic Chain activities. In 11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012 : (PSAM11 ESREL 2012) (pp. 5528-5535). Curran Associates Inc..