Phys.org November 3, 2021
According to the researchers in France AI has the potential to improve the accuracy and speed of early warning systems. Earthquake early warning (EEW) systems are evolving rapidly due to advances in computer power and network communication. They work by identifying the first signals generated by an earthquake rupture before the strongest shaking and tsunami reach populated areas. These signals follow the origin of the earthquake and can be recorded seconds before the seismic waves. Prompt elasto-gravity signal (PEGS) which was recently identified travels at the speed of light but is a million times smaller than seismic waves, and therefore, often goes undetected. According to the researchers AI could play a key role in identifying this signal. The researchers are developing an AI algorithm capable of identifying PEGS. Another approach to improve seismic resilience and reduce human losses is operational earthquake forecasting (OEF). They are developing a platform (Forecasting Early Warning Consequence Prediction Response. The platform is currently being tested at six locations across Europe in Romania, France, Iceland, Greece, Southern Italy, and the Netherlands…read more.Â