Seismologist spotlight #2: How does SeismicAI EEW system alert for earthquakes in areas with a low density of sensors?
Seismology spotlight #2
Featuring: Dr. Andreas Samuel Eisermann, a Senior Seismologist at SeismicAI, who holds a doctorate from Universität Stuttgart Institute of Geophysics and a post-doctorate from Tel Aviv University, where he headed the Real-Time Seismology Laboratory.
How does SeismicAI Earthquake Early Warning (EEW) system detect and alert for earthquakes in areas with a low density of sensors?
Traditional systems require triggering of four stations in order to start the alerting process. In a sensor-sparse network, it may take a long time until the 4th station has triggered. SeismicAI EEW utilizes Array Seismology to accelerate this process: Adding a single Array (a local cluster of four sensors spread over 200m) to those sensor-sparse regions dramatically reduces the waiting time, as a trigger on the Array and a single station are sufficient to locate the epicenter and start the process; the Array back azimuth and the EDT (Equal Differential Time) constraint determine the earthquake location using only two stations rather than four.
Stay tuned for SeismicAI’s next Seismologist Spotlight!