Wyniki wyszukiwania - BazTech

1

Security of the 2014 Winter Olympics in Sochi

Radomyski Adam

Safety & Defense

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2021

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1

93--106

EN

Given the fact that major sporting events such as the Olympic Games attract attention all over the world, the aspect of their security has become even more important, especially after the terrorist attacks of September 11, 2001. Organizers of this type of mass sports event treat the issue of safety as top priority. The paper examines the empirical data from scientific publications, press releases and formal government documents that pertain to Russia's preparation to properly secure the 2014 Sochi Winter Olympics in terms of security. The aim of this article was to identify the threats to the Winter Olympics in Sochi and to characterize the security system organized by Russia against this background. The conducted research confirmed that the greatest threat in Russia was the high activity of national liberation groups, fighters and terrorists from the Sochi area, which clearly intensified in the period preceding the Olympics. In addition, the security system created by Russia involved many different state bodies, including agencies, police and law enforcement services, and the army. Based on the research, it can be concluded that the security system created in Sochi may be a good example for other countries that will try to organize the Olympic Games in the future.

2

Optimization of LNG terminal parameters for a wide range of gas tanker sizes: the case of the port of Świnoujście

Gucma Stanisław, Gucma Maciej

Archives of Transport

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2019

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Vol. 50, iss. 2

91--100

EN

LNG terminals are built to handle tankers of specific size, with cargo capacities within a narrow scope. This is related to the differences in cargo, fender and mooring systems used for LNG tanker handling of various sizes. The research problem solved in the article is the development of the method for optimal design of a universal LNG cargo handling facility that enables safe operations of LNG tankers in a wide range of cargo capacity that covers almost entire spectrum of global fleet tanker sizes. The article presents a methodology of optimizing the parameters of LNG cargo terminals to accommodate both small bunker ships with cargo capacity of 500 m3 (50 metres in length) to Q-flex type tankers capable of carrying up to 220 000 m3 (320 m in length). The authors have determined conditions for the safe operation of these tankers in sea LNG terminals and described differences in the construction of cargo, fendering and mooring systems. The optimization of both location and terminal parameters for a wide range of gas tanker sizes as well as approach channels leading to the LNG berths was performed using a specially designed two-stage simulation method of optimization. In the first stage the best location of a universal LNG terminal and its berths in the existing port basin is determined. The second stage defines optimal parameters of approach waterways to the berths of a universal LNG terminal. The optimization criterion at both stages was the minimization of the costs to build and to operate a universal LNG terminal. The developed optimization methodology was actually used in the design of the universal LNG terminal in the outer port of Świnoujście. The tests made use of real time simulation (RTS) and non-autonomous models of ships, in which ship movement is controlled by a human (pilot, captain). Simulation tests were performed on a multi-bridge ship handling Polaris simulator with a 3D projection, from Kongsberg Maritime AS. This full-mission bridge simulator (FMBS) is located at the Marine Traffic Engineering Centre, Maritime University of Szczecin. Two simulation ship movement models were built and verified for testing the manoeuvres of port entry and berthing. These are: Q-flex type tanker (length: 320 m) and an LNG bunker ship, 6,000 m3 capacity, 104 m in length. The test results were used in the design of the universal LNG terminal in the outer port of Świnoujście and approach waterways leading to the berths (now this investment project is in progress).

3

Modeling vessel passage speed by using passage-time in restricted areas

Kasyk L., Kijewska M.

Zeszyty Naukowe Akademii Morskiej w Szczecinie

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2018

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nr 54 (126)

63--69

EN

Vessel passage speed is one of the parameters describing the vessel traffic stream on a selected waterway. Knowing the probability distribution of vessel passage speeds is essential for modeling vessel traffic streams on a waterway. This article undertakes probabilistic modeling for vessel speeds in restricted areas, where the distribution of the vessel passage time of the waterway section is known. The probabilistic procedure of the inverse random variable is used. Four different cases are considered. First, the probabilistic distribution of the vessel passage speed is given, where the vessel passage time is described by the normal distribution in certain restricted areas. The next three cases present the probabilistic distribution of vessel passage speeds on the Szczecin–Świnoujście fairway, where the vessel passage time is described by the extreme value distribution, the Frèchet distribution and the Weibull distribution.

4

Wiedza ekspertów w analizie i ocenie bezpieczeństwa żeglugi na akwenie ograniczonym

Pietrzykowski Z.

Logistyka

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2011

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nr 6

PL

W artykule przedstawiono wybrane możliwości pozyskania i wykorzystania wiedzy nawigatorów do analizy i oceny bezpieczeństwa nawigacyjnego na akwenach ograniczonych. Reprezentacja pozyskanej wiedzy w tym zakresie umożliwia implementację kryteriów oceny bezpieczeństwa w nawigacyjnych systemach informatycznych. Pozwala to na pełniejsze uwzględnienie czynnika ludzkiego w procesach wspomagania podejmowania decyzji nawigacyjnych.

EN

Some possibilities of using the knowledge of navigators for the analysis and assessment of navigational safety in restricted areas are presented. The representation of acquired knowledge in this field enables implementation of safety assessment criteria in navigational information systems. This, in turn, allows to better take into consideration the human factor in navigational decision support processes.