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EN
The general model of oil spill domain movement forecasting dependent on the thickness of oil spill layer based on a probabilistic approach considering the influence of the hydro-meteorological conditions at sea area is proposed. A semi-Markov model of the process of changing hydro-meteorological conditions is constructed. A two-dimensional stochastic process is used to describe the oil spill domain central point position movement. Parametric equation of oil spill domain central point drift trend curve considering the initial thickness of oil spill layer at the oil spill central point is used. Next, the method of oil spill domain determination dependent on the thickness of oil spill layer for various hydro-meteorological conditions is presented. The generalization of the presented approach assuming that the thickness is changing with time is also proposed. At the end, the research further perspective is given.
EN
Maritime safety involves minimizing error in all aspects of the marine system. Human error has received much importance, being responsible for about 80% of the maritime accident worldwide. Currently, more attention has been focused to reduce human error in marine engine maintenance. On-board marine engine maintenance activities are often complex, where seafarers conduct maintenance activities in various marine environmental (i.e. extreme weather, ship motions, noise, and vibration) and operational (i.e. work overload and stress) conditions. These environmental and operational conditions, in combination with generic human error tendencies, results in innumerable forms of error. There are numerous accidents that happened due to the human error during the maintenance activities of a marine engine. The most severe human error results in accidents due to is a loss of life. Moreover, there are other consequences too such as delaying the productivity of marine operations which results in the financial loss. This study reviews methods that are currently available for identifying, reporting and managing human error in marine engine maintenance. As a basis for this discussion, authors provide an overview of approaches for investigating human error, and a description of marine engine maintenance activities and environmental and operational characteristics.
EN
Monte Carlo simulation method of oil spill domains determination based on the probabilistic approach to the solution of this problem is proposed. A semi-Markov model of the process of changing hydro-meteorological conditions is constructed and its parameters are defined. The general stochastic model of oil spill domain movement for various hydro-meteorological conditions is described. Monte Carlo simulation procedure is created and applied to generating the process of changing hydro-meteorological conditions and the prediction of the oil spill domain movement impacted by these changes conditions.
4
Content available A case study of the wind impact on ship ice-sticking
EN
In the paper, the impact of wind on a ferry sailing in ice field is described and analysed. Two ice-sticking events on the Gulf of Finland are taken for the case study. The wind, especially its direction, is stated as an important factor to entrap a vessel in the ice. The wind blowing across the vessel longitude axis caused both the ships to stick.
PL
Analiza najważniejszych parametrów hydrometeorologicznych, jak prądy morskie, wiatry i falowanie na obszarze Zatoki Pomorskiej, mających największy wpływ na bezpieczeństwo manewrów podejściowych gazowca LNG do portu. Przedstawiono kryteria i limity pogodowe zapewniające zmniejszenie ryzyka związanego ze złym stanem pogody lub ciężkimi warunkami hydrometeorologicznymi.
EN
Analysis of selected environmental conditions affecting safety enter LNG gas carriers to terminal LNG Analysis of major hydro-meteorological parameters, such as ocean currents, winds and waves in the Pomeranian Bay, having the greatest impact on the safety of the LNG gas carriers entering port. Presented of the criteria and weather limits leading to reduce risks associated with poor weather or heavy hydro-meteorological conditions.
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