Ground Motion Estimation Using Front Site Wave Form Data Based on RVM for Earthquake Early Warning
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- Yang Yincheng
- Graduate School of Engineering, Tohoku University
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- Motosaka Masato
- International Research Institute of Disaster Science, Tohoku University
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Abstract
<p>The use of the earthquake early warning system (EEWS), one of the most useful emergency response tools, requires that the accuracy of real-time ground motion prediction (GMP) be enhanced. This requires that waveform information at observation points along earthquake wave propagation paths (hereafter, front-site waveform information) be used effectively. To enhance the combined reliability of different systems, such as on-site and local/regional warning, we present a GMP method using front-site waveform information by applying a relevant vector machine (RVM). We present methodology and application examples for a case study estimating peak ground acceleration (PGA) and peak ground velocity (PGV) for earthquakes in the Miyagi-Ken Oki subduction zone. With no knowledge of source information, front site waveforms have been used to predict ground motion at target sites. Five input variables – earthquake PGA, PGD, pulse rise time, average period and the Vpmax/Apmax ratio – have been used for the first 4 to 6 seconds of P-waves in training a regression model. We found that RVM is a useful tool for the prediction of peak ground motion.</p>
Journal
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- Journal of Disaster Research
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Journal of Disaster Research 10 (4), 667-677, 2015-08-01
Fuji Technology Press Ltd.
