Title of article
Current efforts for prediction and assessment of natural disasters: Earthquakes, tsunamis, volcanic eruptions, hurricanes, tornados, and floods
Author/Authors
amezquita-sancheza, j.p. autonomous university of queretaro, campus san juan del rio - faculty of engineering - department of electromechanical, civil, and biomedical engineering, San Juan del Rio, mexico , valtierra-rodriguez, m. autonomous university of queretaro, campus san juan del riofaculty of engineering - department of electromechanical, civil, and biomedical engineering, San Juan del Rio, mexico , adeli, h. autonomous university of queretaro, campus san juan del riofaculty of engineering - department of electromechanical, civil, and biomedical engineering, San Juan del Rio, mexico
From page
2645
To page
2664
Abstract
This article presents a state-of-the-art review of different 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.
Keywords
Natural disasters , Big data , Prediction , Assessment , Earthquakes , Tsunamis , Volcanic eruptions , Hurricanes , Tornadoes , Floods.
Journal title
Scientia Iranica(Transactions A: Civil Engineering)
Journal title
Scientia Iranica(Transactions A: Civil Engineering)
Record number
2720508
Link To Document