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
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)
