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Selecting time windows of seismic phases and noise for engineering seismology applications: a versatile methodology and algorithm
Authors:Vincent Perron  Aurore Laurendeau  Fabrice Hollender  Pierre-Yves Bard  Céline Gélis  Paola Traversa  Stéphane Drouet
Institution:1.French Alternative Energies and Atomic Energy Commission (CEA), Cadarache,Saint-Paul-lez-Durance Cedex,France;2.IRSN, PRP-DGE/SCAN/BERSSIN,Fontenay-aux-Roses,France;3.Univ. Grenoble Alpes, IFSTTAR, ISTerre,Grenoble,France;4.CEA, DAM, DIF,Arpajon,France;5.EDF, CEIDRE/TEGG/SGG,Aix-en-Provence,France;6.GEOTER, Fugro Group,Auriol,France;7.Instituto Geofisico Escuela Politecnica Nacional,Quito,Ecuador
Abstract: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 pre-event 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.
Keywords:
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