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A SIMULATION PLATFORM FOR ATMOSPHERIC PHENOMENA STUDY WITHIN COASTAL FLOODS IN BALTIC SEA AREA

Visheratin, Alexander A, Kalyuzhnaya, Anna V, Kosukhin, Sergey S, Nasonov, Denis

First published: 2015https://doi.org/10.5593/sgem2015/b21/s7.002View metrics

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Title
A SIMULATION PLATFORM FOR ATMOSPHERIC PHENOMENA STUDY WITHIN COASTAL FLOODS IN BALTIC SEA AREA
Authors
Visheratin, Alexander A, Kalyuzhnaya, Anna V, Kosukhin, Sergey S, Nasonov, Denis
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 15th International Multidisciplinary Scientific GeoConference SGEM2015, INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2015
Pages
11-18
ISSN
1314-2704
ISBN
978-619-7105-34-6
Language
en
Publication type
Conference Paper
References16
  1. Cred Crunch. Disaster Data. A Balanced Perspective, Centre for Research on the Epidemiology and Disasters, Universite Catholique de Louvain, Belgium, 2012 , Issue 27.

  2. Sheng, Y. Peter, Vadim Alymov, and Vladimir A. Paramygin. Simulation of storm surge, wave, currents, and inundation in the Outer Banks and Chesapeake Bay during Hurricane Isabel in 2003: The importance of waves. Journal of Geophysical Research: Oceans, 2010, Issue 115 (C4).

  3. Lee, Tsung-Lin. Prediction of storm surge and surge deviation using a neural network. Journal of Coastal Research, 2008. Issue sp3. Volume 24. Pp. 76-82.

  4. Kia, Masoud Bakhtyari, et al. An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia. Environmental Earth Sciences, 2012. Issue 1. Volume 67.Pp. 251-264.

  5. Kuo, Ying-Hwa, and Richard J. Reed. Numerical simulation of an explosively deepening cyclone in the eastern Pacific. Monthly Weather Review, 1988. Issue10. Volume 116. Pp. 2081-2105.

  6. Madsen, Henrik, and Flemming Jakobsen. Cyclone induced storm surge and flood forecasting in the northern Bay of Bengal. Coastal Engineering, 2004. Issue 4. Volume 51. Pp. 277-296.

  7. Knyazkov K. V. et al. CLAVIRE: e-Science infrastructure for data-driven computing //Journal of Computational Science. – 2012. – Т. 3. – №. 6. – С. 504- 510.

  8. J. Yu, R. Buyya “A Taxonomy of Workflow Management Systems for Grid Computing”, Journal of Grid Computing, vol. 3, n. 3-4, 2005, pp. 171-200. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

  9. Cred Crunch. Disaster Data. A Balanced Perspective, Centre for Research on the Epidemiology and Disasters, Universite Catholique de Louvain, Belgium, 2012 , Issue 27.

  10. Sheng, Y. Peter, Vadim Alymov, and Vladimir A. Paramygin. Simulation of storm surge, wave, currents, and inundation in the Outer Banks and Chesapeake Bay during Hurricane Isabel in 2003: The importance of waves. Journal of Geophysical Research: Oceans, 2010, Issue 115 (C4).

  11. Lee, Tsung-Lin. Prediction of storm surge and surge deviation using a neural network. Journal of Coastal Research, 2008. Issue sp3. Volume 24. Pp. 76-82.

  12. Kia, Masoud Bakhtyari, et al. An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia. Environmental Earth Sciences, 2012. Issue 1. Volume 67.Pp. 251-264.

  13. Kuo, Ying-Hwa, and Richard J. Reed. Numerical simulation of an explosively deepening cyclone in the eastern Pacific. Monthly Weather Review, 1988. Issue10. Volume 116. Pp. 2081-2105.

  14. Madsen, Henrik, and Flemming Jakobsen. Cyclone induced storm surge and flood forecasting in the northern Bay of Bengal. Coastal Engineering, 2004. Issue 4. Volume 51. Pp. 277-296.

  15. Knyazkov K. V. et al. CLAVIRE: e-Science infrastructure for data-driven computing //Journal of Computational Science. – 2012. – Т. 3. – №. 6. – С. 504- 510.

  16. J. Yu, R. Buyya “A Taxonomy of Workflow Management Systems for Grid Computing”, Journal of Grid Computing, vol. 3, n. 3-4, 2005, pp. 171-200. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

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