Applications of cumulative absolute velocity to urban earthquake early warning systems |
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| Authors: | Yasin M Fahjan Hakan Alcik Ali Sari |
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| Institution: | 1.Earthquake and Structural Engineering,Gebze Institute of Technology,Gebze,Turkey;2.Kandilli Observatory and Earthquake Research Institute,Bogazici University,Istanbul,Turkey;3.ATKINS,Houston,USA |
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| Abstract: | An early warning system forewarns an urban area of the forthcoming strong shaking, normally with a few seconds to a few tens
of seconds of early warning time before the arrival of the destructive S-wave part of the strong ground motion. For urban
and industrial areas susceptible to earthquake damage, where the fault rupture system is complex and the fault-site distances
are short, there is usually insufficient time to compute the hypocenter, focal parameters and the magnitude of an earthquake.
Therefore, simpler and robust early warning algorithm is needed. The direct (engineering) early warning systems are based
on algorithms of the exceedance of specified threshold time domain amplitude levels. The continuous stations’ data are processed
to compute specific engineering parameters robustly and compared with specified threshold levels. The parameters can be chosen
as band-pass filtered peak ground accelerations and/or the bracketed cumulative absolute velocity (BCAV). In this paper, an
enhancement to bracket cumulative absolute velocity for the application of online urban early warning systems results in a
new parameter called window based bracketed cumulative absolute velocity (BCAV-W). The BCAV-W allows computation of cumulative
absolute velocity in a specified window size and to include the vertical component of the motion. The importance of choosing
optimum window size for the cumulative absolute velocity BCAV-W is discussed and the correlations between BCAV-W and the macro-seismic
intensity are studied for three combinations of horizontal and vertical components of the motion. Empirical relationship is
developed to estimate BCAV-W as a function of magnitude, distance, fault mechanism, and site category based on 1,208 recorded
ground motion data from 75 earthquakes in active plate-margins. |
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