Cahli Suhendi, Maria R.P. Sudibyo, I.F. Erlangga, Arliandy P. Arbad
It is difficult to identify P- and S-waves arrival time from the recorded seismograms with low Signal - to - Noise Ratio (SNR) because the onset is not always clearly observed. However, the arrival time of P and S-waves are important for the advanced analysis, such as for seismic event localization and seismic velocity tomography. In this paper, we employ Akaike Information Criterion (AIC) with the new characteristic function (CF) so-called mAIC, that is proposed by Hendriana et al. (2018) to detect P- and S - waves onset accurately and automatically from the denoised seismic signal of tectonic earthquake events in Sunda Strait. The mAIC was proposed to overcome the window-dependence of AIC function from continuous seismogram by computing AIC in a translatable window. The results show that mAIC successfully determine the first onsite of P- and S-wave for the denoised seismogram data. © Published under licence by IOP Publishing Ltd.
Geophysical Engineering, Institut Teknologi Sumatera, South Lampung, Indonesia
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