Selecting time windows of seismic phases and noise for engineering seismology applications: a versatile methodology and algorithm

Vincent Perron (1, 2) , Aurore Laurendeau (3) , Fabrice Hollender (2, 1) , Pierre-Yves Bard (1) , Céline Gélis (4) , Paola Traversa (5) , Stéphane Drouet (6)

1 ISTerre - Institut des Sciences de la Terre
2 CEA-DES (ex-DEN) - CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire)
3 Instituto Geofísico, Escuela Politécnica Nacional
4 IRSN - Institut de Radioprotection et de Sûreté Nucléaire
5 EDF Ceidre-TEGG
6 FUGRO-Geoter International

Seismic signal windowing is the preliminary step for many analysis procedures in engineering seismology (standard spectral ratio, quality factor, general inversion techniques, etc.). Moreover a noise window is often necessary for the data quality control through the signal-to-noise verification. Selecting the noise window can be challenging when large heterogeneous datasets are considered, especially when they include short preevent noise signals. This study proposes a fully automatic and configurable (i.e., with default parameters that can also be user-defined) algorithm to windowing the noise and the P, S, coda and full signal once the P-wave (T P) and S-wave (T S) first arrivals are known. An application example is given on a KiK-net dataset. A Matlab language implementation of this algorithm is proposed as an online resource.

Domaines: Géophysique [physics.geo-ph]

Vincent Perron, Aurore Laurendeau, Fabrice Hollender, Pierre-Yves Bard, Céline Gélis, et al.. Selecting time windows of seismic phases and noise for engineering seismology applications: a versatile methodology and algorithm. Bulletin of Earthquake Engineering, 2018, 16, pp.2211-2225. ⟨10.1007/s10518-017-0131-9⟩. ⟨insu-01741842⟩