In disaster mitigation planning for future large earthquakes, seismic ground motion predictions are a crucial part of early warning systems and seismic hazard mapping. The way the ground moves depends on how the soil layers amplify the seismic waves (described as a mathematical site “amplification factor”). However, geophysical explorations to understand soil conditions are costly, limiting characterization of site amplification factors to date.
Click here for original story, Neural network model helps predict site-specific impacts of earthquakes
Source: Phys.org