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ISSN 2083-6473
ISSN 2083-6481 (electronic version)
 

 

 

Editor-in-Chief

Associate Editor
Prof. Tomasz Neumann
 

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
www http://www.transnav.eu
e-mail transnav@umg.edu.pl
Risk Assessment for Fishing Vessels at Fishing Grounds
1 Baltic Fishing Fleet State Academy, Kaliningrad, Russia
ABSTRACT: Safety and efficiency of fishing fleet activity depend largely on the quality of management decisions. Cause-and-effect relationships of accidents involving fishing vessels were identified by means of an analysis of emergencies and fishing incidents. The suggested method of risks calculation is based on the use of statistical methods, fuzzy sets/expert estimations method and the probability theory. The following most common tasks are presented and solved: - there is an impact of two or more independent negative factors/events on the vessel such as failure of a sonar, a vessel operator error, another vessel operator error. - a transport vessel carries out loading and unloading of fishing vessels under different environmental conditions. The value of the risk of an emergency incident is determined. - the fishing vessel navigation performs under various meteorological conditions. A priori probability of incident-free operation is calculated according to expert estimations.
REFERENCES
Abchuk V.A. 1983. Risk theory in the marine practice. Leningrad: Sudostroenie (in Russian)
Final Report of Flagship Project 2014. “To lay the groundwork for developing a plan to reduce the number of accidents in fisheries”. EU strategy for the Baltic Sea region. Baltic Sea Advisory Council. http://www.bsac.dk/archive/ Dokumenter/Flagship%20Project/BSAC%20Safety%20Report%20FINAL.pdf
Jin D., Kite-Powell H.L.Thunberg, E. Solow A.R. & Talley W.K. 2002. A model of fishing vessel accident probability. Journal of Safety Research, 33: 497-510
Kirichenko A.V., Latukhov S.V., Nikitin V.A. & Ragev O.A. 2014. Organizational and technical foundations of ships and port facilities security. S.-Petersburg: SUMRF of Adm. S.O Makarov Publ. House (in Russian)
Kristiansen S. 2010. Maritime Transportation: Safety Management and Risk Analysis. Elsevier
Moyseenko S.S. & Meyler L.E. 2011. Safety of marine cargo transportation. Kaliningrad: BFFSA Publ. House (in Russian)
Moyseenko S.S., Meyler L.E. & Faustova O.G. 2013. Formation of the integrated risk assessment of a disaster in multimodal cargo transportation. Proc. X Baltic intern. maritime forum, Swetlogorsk 28–31 May 2013. Kaliningrad: BFFSA Publ. House (in Russian)
Moyseenko S.S., Meyler L.E., Bondarev V.A. & Faustova O.G. 2014a. Analysis of the problem of risk assessment in commercial fishing. Proc. XI Baltic intern. maritime forum, Swetlogorsk 26–30 May 2014. Kaliningrad: BFFSA Publ. House (in Russian)
Moyseenko S.S., Skrypnik V.P. & Faustova O.G. 2014b. Differential-integral approach to modeling the processes of development of emergencies in navigation and ocean fishing. Bulletin of State University of sea and river fleet of admiral S.O. Makarov 4(26): 47-53. (in Russian)
Perez-Labajos, C. 2008. Fishing safety policy and research. Marine Policy, 32: 40-45
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Ventzel E.S. & Owcharov L.A. 1973. Theory of probability. Moscow: Nauka (in Russian)
Citation note:
Moyseenko S.S., Meyler L.E., Bondarev V.A.: Risk Assessment for Fishing Vessels at Fishing Grounds. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 9, No. 3, doi:10.12716/1001.09.03.07, pp. 351-355, 2015

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