Although we cannot predict earthquakes, thanks to Japanese scientists we can now get an early warning of them and make maps and models of earthquake hazards and their devastating consequences.
In modeling earthquake hazards and studying their possible consequences, predicting seismic ground movements are a key part of developing an early warning system and creating seismological maps.
The composition of the soil and the way it moves near the fault also affects how it transmits seismic waves and amplifies them. Studies that would explore the soil in this way are very expensive and demanding, so they are rarely done in too much detail.
Data obtained from micro-tremor
However, as the portal reports Bug.hra team of scientists from the University of Hiroshima presented a new, cheaper method of analyzing soil composition and its exposure to the effects of earthquakes.
In a scientific seismological journal Bulletin of the Seismological Society of America they have published a paper describing their new method of using an artificial intelligence system, based on neural networks and deep learning, which is able to analyze the soil from data obtained during its micro-tremor.
Such microtremors occur constantly, and with their advanced computer analysis, this system provides valuable information on soil composition. Such data are then used to determine the vulnerability of the area to earthquakes, which are possible at that location.
The artificial intelligence system has the potential to greatly contribute to more accurate and detailed soil mapping, prediction of fault movements and possible consequences of future earthquakes.
The exact location, magnitude and time of the earthquake cannot be predicted, but this method will provide precise data on how the soil will react to the earthquake, how much it will amplify seismic waves and where, and based on microtremor data it will be able to activate early warning systems .
The ability to predict the consequences of earthquakes in a cheaper way has the potential to save many lives, in a way that stronger anti-earthquake construction will be recommended in critical and exposed regions. The authors announce the expansion of the entire model and its improvement, so that it can be applied anywhere in the world.
Source: E2 Portal by www.e2.rs.
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