Showing 20 articles starting at article 581
Categories: Ecology: Research, Geoscience: Earthquakes
Published Neural network model helps predict site-specific impacts of earthquakes



In disaster mitigation planning for future large earthquakes, seismic ground motion predictions are a crucial part of early warning systems. The way the ground moves depends on how the soil layers amplify the seismic waves (described in a mathematical site 'amplification factor'). However, geophysical explorations to understand soil conditions are costly, limiting characterization of site amplification factors to date. Using data on microtremors in Japan, a neural network model can estimate site-specific responses to earthquakes based on subsurface soil conditions.
Published A swarm of 85,000 earthquakes at the Antarctic Orca submarine volcano


In a remote area, a mix of geophysical methods identifies magma transfer below the seafloor as the cause.