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Risk Assessment for Fishing Vessels at Fishing Grounds

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Twórcy
autor
  • Baltic Fishing Fleet State Academy of the Kaliningrad State Technical University, Kaliningrad, Russia
autor
  • Baltic Fishing Fleet State Academy of the Kaliningrad State Technical University, Kaliningrad, Russia
  • Baltic Fishing Fleet State Academy of the Kaliningrad State Technical University, Kaliningrad, Russia
Bibliografia
  • 1 Abchuk V.A. 1983. Risk theory in the marine practice. Leningrad: Sudostroenie (in Russian)
  • 2 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
  • 3 Gucma M. 2008. Combination of processing methods for various simulation data sets. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, 2(1): 11‐15
  • 4 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
  • 5 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)
  • 6 Kobyliński L. 2009. Risk analysis and human factor in prevention of CRG casualties. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, 3 (4): 443‐448
  • 7 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)
  • 8 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)
  • 9 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)
  • 10 Moyseenko S.S., Skrypnik V.P. & Faustova O.G. 2014b.
  • 11 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)
  • 12 Perez‐Labajos, C. 2008. Fishing safety policy and research. Marine Policy, 32: 40‐45
  • 13 Topalov V.P. & Torskiy V.G. 2007. Risks in navigation. Odessa: Astroprint (in Russian)
  • 14 Ventzel E.S. & Owcharov L.A. 1973. Theory of probability. Moscow: Nauka (in Russian)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4f913277-63eb-4e0b-adbe-9a97a5d14875
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