This conclusion was reached by researchers at Stanford University after they learned how to identify earthquakes according to patterns. The basis for this was a large database of seismic activity, including, in particular, small earthquakes that are not fixed by conventional equipment. They do not carry danger, but they can help scientists predict powerful earthquakes capable of causing significant destruction.
The idea to use the Shazam application algorithm arose from Greg Beros, professor of geophysics at Stanford University, when he visited an electronics store. When he could not determine the song he heard, the above application came to the rescue. “I thought,” recalls Berosa, “it’s cool, and after a moment I came to the conclusion that I want to use this technology in relation to seismology.”
The team he assembled used the seismic activity analysis algorithm in the Calaveras fault area in Northern California. The next step should be testing with the participation of several seismic stations for a longer time. As a result of such monitoring, researchers will eventually be able to predict destructive earthquakes.