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Training for Environmental Risks in the Black Sea Basin

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Języki publikacji
EN
Abstrakty
EN
The Potential Emergency Situations Simulator (PESS) for Constantza Maritime University (CMU) should provide training and practicing of the students or course attendants in choosing the best strategies in a given emergency situation, which is an informational high entropy, multi-tasking, fast changing environment. The simulator is used for the realistic modeling of a crisis situation and it is useful for both marine officers and emergency situation officials. The simulator will be used as an educational instrument enabling the interactive study of the different emergency situations. It has the aim of training students to efficiently react to emergency situations such as a leak from a ship/chemical plant, fire, poisonous gas emissions, or any other situations that could show a potential danger. The trainee must be provided with realistic information and the response of the model on the actions of the trainee must be in accordance with the real conditions and scientific based. It must be possible to accelerate the simulation speed without loss of information or functionalities. The input of the external weather conditions is a must, as well as the trainee-oriented graphic interface. It must be possible to change the chemical and physical properties and characteristics of the different polluting agents. The simulator is also used to evaluate the best strategies to be followed in an ongoing crisis. In order to fulfill this aim, the simulation must have the capability to receive data from various sensors, transducers and servers. The courses are designed to accommodate up to six course participants. Each course includes course material such as course manuals and other documents. The courses include hands-on experience with simulator operations and maintenance. To help the start up of the simulated emergency situations training at Constantza Maritime University, we have made a manual which includes some well-designed exercises with scenarios, initial conditions and relevant documentation. The exercise documentation includes the exercise objectives, exercise guidance, instructor guidance, expected results and all other information to make the exercise successful for an inexperienced instructor.
Twórcy
  • Constantza Maritime University, Constantza, Romania
  • Constantza Maritime University, Constantza, Romania
autor
  • Constantza Maritime University, Constantza, Romania
  • Constantza Maritime University, Constantza, Romania
Bibliografia
  • 1. Ali, A. 2008. Role and Importance of Simulator Instructor. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 2, No. 4, pp. 423‐427
  • 2. Ali, A. 2009. Maritime Education – Putting in the Right Emphasis, Journal Vol. 3 No. 2 ‐ June.
  • 3. Arsenie P., Hanzu‐Pazara R. 2008. Human Errors and Oil Pollution from Tankers. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 2, No. 4, pp. 409‐413
  • 4. Hanzu‐Pazara R., Arsenie P., Hanzu‐Pazara L. 2010. Higher Performance in Maritime Education Through Better Trained Lecturers. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 4, No. 1, pp. 87‐93
  • 5. Kalvaitiene G., Bartuseviciene I., Sencila V. 2011. Improving MET Quality: Relationship Between Motives of Choosing Maritime Professions and Students’ Approaches to Learning. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 5, No. 4, pp. 535‐540
  • 6. Panaitescu, F.V. 2006. Emergency situations simulator ‐User book, Nautica Publishing, Constantza, Romania.
  • 7. Panaitescu, F.V. 2006. Emergency situations simulator‐Laboratory notebook simulations, Nautica Publishing, Constantza, Romania.
  • 8. Panaitescu, F.V., Panaitescu M., Ciucur, V., Padineanu, E., Tudor A. 2006. Applications on Constantza Maritime University Emergency Simulator, Nautica Publishing, Constantza, Romania.
  • 9. Panaitescu, F.V., Panaitescu, M.2013. Training on Simulator for Emergency Situations in the Black Sea, in Marine Navigation and Safety of Sea transportation, advances in Marine Navigation, CRC Press/Balkema,Taylor&Francis Group, Ne herlands, pp.127‐130.
  • 10. Roy, B. 1996. Multicriteria Methodology for Decision Aiding, Kluwer Academic Publishers, Dordrecht.
  • 11. Stam, A., Sun, M. and Haines, M. 1996. Artificial neural network representations for hierarchical preference structures, Computers and Operations Research, 23(12), 1191‐1201.
  • 12. Stefanowski, J. 1998. On rough set based approaches to induction of decision rules, in: L. Polkowski and A. Skowron (eds.), Rough Sets in Knowledge Discovery, Physica‐Verlag, Heidelberg, 500‐529.
  • 13. Fay J. A., 1971. Physical processes in the spread of oil on a Water surface, in: Proceedings On Prevention and Control of Oil Spill, Washington, DC, pp. 463–467.
  • 14. Gogoaşe Nistoran D., Pincovschi I., 2003. Modeling of Oil Spreading on Still Water Surface, in Conferința Internațională de Energie și Mediu, București, Romania.
  • 15. Hoult D. P., 1972. Oil Spreading on the Sea, Annual Review of Fluid Mechanics, pp. 341‐368.
  • 16. Voicu, I., 2014. Gestionarea unor situatii de urgenta ca rezultat al deversarii accidentale de produse petroliere in Marea Neagra, in PHD thesys, Bucuresti, Romania.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c5e70b95-6716-4c56-ae9e-9cc95db1e3c7
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