Current efforts for prediction and assessment of natural disasters: Earthquakes, tsunamis, volcanic eruptions, hurricanes, tornados, and floods

Document Type : Review Article

Authors

1 Faculty of Engineering, Departments of Electromechanical, Civil, and Biomedical Engineering. Autonomous University of Queretaro, Campus San Juan del Rio, Moctezuma 249, Col. San Cayetano, 76807, San Juan del Rio, Queretaro, Mexico

2 Department of Civil, Environmental, and Geodetic Engineering, The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, Columbus, OH 43220, U.S.A

Abstract

This article presents a state-of-the-art review of di fferent methods, signal and image processing techniques, and statistical analyses used for prediction and assessment of natural disasters including earthquakes, tsunamis, volcanic eruptions, hurricanes, tornadoes, and floods. Application of the big data paradigm to the aforementioned natural disasters is also discussed. The research for increasingly more sophisticated computational models will continue to achieve more accurate predictions of various natural disasters.

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Scientia Iranica
Volume 24, Issue 6
Transactions on Civil Engineering (A)
November and December 2017
Pages 2645-2664

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History

  • Receive Date: 22 October 2017
  • Revise Date: 08 November 2017
  • Accept Date: 04 November 2017

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