Neural network model helps predict site-specific impacts of earthquakes Hiroshima_Univ
Displays show the source code and results of the estimation. Credit: Hiroyuki Miura, Hiroshima University
Subsurface soil conditions, which determine how earthquakes affect a site, vary substantially. Softer soils, for example, tend to amplify ground motion from an earthquake, while hard substrates may dampen it. Ambient vibrations of the ground or microtremors that occur all over the Earth's surface caused by human or atmospheric disturbances can be used to investigate soil conditions.
The researchers looked into a common method known as horizontal-to-vertical spectral ratios , which is usually used to estimate the resonant frequency of the seismic ground. It can be generated from microtremor data; ambient seismic vibrations are analyzed in three dimensions to figure out the resonant frequency of sediment layers on top of bedrock as they vibrate. Previous research has shown, however, that MHVR cannot reliably be used directly as the site amplification factor.
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