Hilbert-Huang transform of infrasound for tsunami early warning systems

V. Caesario, R. R. Amelia, G. Vieri, D. Arifianto*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


When an earthquake occurs tectonically and volcanically, it is preceded by the emergence of sound wave propagation that cannot be heard by the human ear because it has a low frequency, called infrasound. These infrasound waves are difficult to detect because they are much weaker than earthquake waves and other natural sound waves in nature. The Hilbert-Huang transform method (HHT) is proposed, which in principle decomposes a wave into several simpler sinusoidal harmonic waves so as to separate the low-frequency infrasound waves from the other waves. Once separated, the envelope frequency can be determined which represents the frequency of the earthquake occurrence, then the amplitude represents the predicted earthquake strength, and the wave propagation phase that represents the location of the earthquake source. From the comparison of secondary data, it was obtained that HHT was able to obtain all three information faster than the data from seismographs so that it had the potential to increase the evacuation time which in turn reduced the potential for greater casualties and losses.

Original languageEnglish
Article number012025
JournalJournal of Physics: Conference Series
Issue number1
Publication statusPublished - 10 May 2021
Event1st Biennial International Conference on Acoustics and Vibration, ANV 2020 - Virtual, Online, India
Duration: 23 Nov 202024 Nov 2020


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