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Comparison of Reduction Systems of Harmful Substances into the Atmosphere in Accordance to Requirements of IMO Tier III

Abstract

Degradation of the environment is nowadays believed to be the most alarming problem that needs to be solved. Global warming and environmental pollution are predicted to cause a catastrophic chain reaction leading to species extinction, mass emigration due to rising sea levels and global crisis. The only solution suggested by international organizations is the immediate reduction of greenhouse gases and other harmful substances. Marine transportation harmful substances into the atmosphere are recognized to be a significant source of global atmospheric pollution. Despite the high efficiency of marine diesel engines, their impact on the environment is considerable. Due to environmentally friendly policies, modern engines concerns about not only efficiency but also mainly about s aspects. This article analyses and compares marine s exhaust gases reduction methods. Especially the most harmful substances emitted by ships were taken into consideration. The article presents the most crucial law regulations of harmful substances to the atmosphere, pointing at actual and possible future implementations. The most complex methods allowing meeting the latest limits were presented. Pros and cons of available control methods were thoroughly described and methods were compared. The most adequate methods form the effectiveness and economical point of view was pointed out.

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Risk of the Maritime Supply Chain System Based on Interpretative Structural Model

Abstract

Marine transportation is the most important transport mode of in the international trade, but the maritime supply chain is facing with many risks. At present, most of the researches on the risk of the maritime supply chain focus on the risk identification and risk management, and barely carry on the quantitative analysis of the logical structure of each influencing factor. This paper uses the interpretative structure model to analysis the maritime supply chain risk system. On the basis of comprehensive literature analysis and expert opinion, this paper puts forward 16 factors of maritime supply chain risk system. Using the interpretative structure model to construct maritime supply chain risk system, and then optimize the model. The model analyzes the structure of the maritime supply chain risk system and its forming process, and provides a scientific basis for the controlling the maritime supply chain risk, and puts forward some corresponding suggestions for the prevention and control the maritime supply chain risk.

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Flaps Influence on Wing in Ground Effect Lift Coefficient

Abstract

The main purpose of this article was to study flaps application influence on airfoil, which flies in the wing in ground effect with lift, and drag coefficients changes. Wing in ground effect occurs in the direct proximity of ground, it makes lift coefficient higher than in free stream flight, also decreases drag coefficient. WIG effect craft can be an alternative for traditional aircraft, but also for marine transportation. The article presents wing in ground effect creation mechanism description with height coefficient explanation, also presents experimental analysis of lift coefficient with reference to height coefficient. Airfoil with flaps simulation and for free stream flight. Application of flaps makes the wing in ground effect more efficient by lift coefficient rise, what provides also to drag coefficient rise. Flaps provide to absolute pressure rise under the airfoil. It allows to fly slower without lift force change or to make aircraft start shorter without risk of stall. The article shows also conditions and results of Ansys Fluent software simulation for NACA M8 airfoil for angles of attack equal to: 0°, 6°, 10° for three different cases: free stream flight, wing in ground flight with the clear wing, wing in ground flight with flaps, and conditions of analysis convergence.

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Analysis of the Relevant Parameters on Small Scale of Navigable Abnormal Ship Model

Hydrodynamic Derivatives in Shallow and Restricted Waters. International Shipbuilding Progress, Vol 47, No 5, pp 56-62,2000. 9. Yuan, Z-X. Study on the similarity of the performance of the abnormal ship model and real ship. Journal of Shanghai Institute of Marine Transportation Science, 1999. 10. Zhu, D-X, Shen, H-C, and Hong, F-W. The framework of ship model numerical towing tank and research fundament in China. Journal of Hydrodynamics. Vol 2, No 5, pp 109-110,2008.

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A comparison study on the deck house shape of high speed planing crafts for air resistance reduction

for air resistance reduction. Proceedings of the Annual Autumn Meeting the Korean Society of Marine Environment and Safety, Wan-do, 22-23 November 2012, pp.107-109. Savitsky, D., 1964. Hydrodynamic design of planing hulls. Marine Technology, 1(1), p.71-95. Savitsky, D., 1981. Status of hydrodynamic technology as related to model tests of high-speed marine vehicles. The United Kingdom: Marine Transportation, British Maritime Technology. Tanaka, H., 1991. Cooperative resistance tests with geosim models of a high

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The multidimensional approach to marine industry development: Part I. Obstacles and willingness to the EU marine industry reengineering

and Part II., PAS, Marine Technology Transactions , Vol.16, 2005 UNCTAD survey on the internationalization of R&D: Current patterns and prospects on the internationalization of R&D , Occasional Note, United Nations Conference on Trade and Development, Geneva, 2005 U. S. Department of Transportation. US Marine Transportation System: A Vision for the 21st Century , Washington, November, 2007 Zaltman G.; Duncan R.; Holbek J. (1973): Innovations and Organizations, Wiley & Sons, 1973.

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Structure and dynamics of a public bike-sharing system. Case study of the public transport system in Białystok

, G., Wei, L., & Xu, C. (2009). Worldwide marine transportation network: Efficiency and container throughput. Chinese Physics Letters , 26 (11), 118901. Xie, F., & Levinson, D. (2009). Modeling the growth of transportation networks: a comprehensive review. Networks and Spatial Economics , 9 (3), 291-307. Yerra, B. M., & Levinson, D. M. (2005). The emergence of hierarchy in transportation networks. The Annals of Regional Science , 39 (3), 541-553.

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Fault Risk Assessment of Underwater Vehicle Steering System Based on Virtual Prototyping and Monte Carlo Simulation

networks in microbial risk assessment. International Journal of Food Microbiology, 2010. 139, Supplement(0): p. S57-S63. 16. Faghih-Roohi, S., M. Xie, and K.M. Ng, Accident risk assessment in marine transportation via Markov modelling and Markov Chain Monte Carlo simulation. Ocean Engineering, 2014. 91(0): p. 363-370. 17. Chen, H., L. Li, and Y. Sun, Risk Assessment of Aero Engine Failure based on Monte Carlo Simulation. Procedia Engineering, 2014. 80(0): p. 415-423. 18. Sobhani, A., W. Young, and M. Sarvi, A simulation

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Ship information system: overview and research trends

. Materials Forum, 33, pp.307-316. Wibowo, S. and Deng, H.P., 2012. Intelligent decision for effectively evaluating and selecting ships under uncertainly in marine transportation. Expert Systems with Applications, 39(8), pp.8911-6920. Xu, P., 2012. Ship cabin environment monitoring system based on wireless sensor network. World Automation Congress Proceedings, 2012 World Automation Congress, WAC, Puerto Vallarta, Mexico, 24-28 June 2012, pp.1-4. Young, S.S. and Gubbins, V.R. 1997. Smart ship and reduced manning in the United

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