Continual Determination of Magnitude for Earthquake Early Warning

Abstract eng:
Earthquake early warning (EEW) system can detect actual quakes near their source and issue warnings to humans and automated systems for specific region to mitigate disaster. Rapid determination of the location and magnitude of an earthquake are two fundamental problems for early earthquake detection and warning systems. We develop a method to determinate the magnitude continually for every second after 1sec of the nearest station P-wave arrival using the seismic network records. Various natural periods’ single-degree-of-freedom system response of acceleration, velocity and displacement are obtained using real-time simulation method and the different frequency band is considered. Three predomination period parameters and three amplitude parameters based on different frequency band records are proved effective to determinate magnitude. The six parameters are effective cumulative ascending pulse width of first displacement pulse, Vmax/Amax period, “predominant period τc”, PGA, PGV and PGD respectively within a certain short time segment after the P-wave arrival. The neural network is used to model the nonlinear relation between the magnitude and all the six parameters for different frequency band for every second after the P wave arrival. The neural network is trained and the result shows that the method is effective and reliable to determinate the magnitude for EEW.

• Export as: BibTeX | MARC | MARCXML | DC | EndNote | NLM | RefWorks
• Add to your basket