000010813 001__ 10813
000010813 005__ 20141205155806.0
000010813 04107 $$aeng
000010813 046__ $$k2008-10-12
000010813 100__ $$aMa, Qiang
000010813 24500 $$aContinual Determination of Magnitude for Earthquake Early Warning

000010813 24630 $$n14.$$pProceedings of the 14th World Conference on Earthquake Engineering
000010813 260__ $$b
000010813 506__ $$arestricted
000010813 520__ $$2eng$$aEarthquake 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.

000010813 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000010813 653__ $$aEarthquake early warning, Magnitude, Neural networks

000010813 7112_ $$a14th World Conference on Earthquake Engineering$$cBejing (CN)$$d2008-10-12 / 2008-10-17$$gWCEE15
000010813 720__ $$aMa, Qiang$$iJin, Xing
000010813 8560_ $$ffischerc@itam.cas.cz
000010813 8564_ $$s937988$$uhttps://invenio.itam.cas.cz/record/10813/files/09-01-0180.pdf$$yOriginal version of the author's contribution as presented on CD, Paper ID: 09-01-0180.
000010813 962__ $$r9324
000010813 980__ $$aPAPER