Advances on the automatic estimation of the P-wave onset time

Main Article Content

Luz García
Isaac Álvarez
Carmen Benítez
Manuel Titos
Ángel Bueno
Sonia Mota
Ángel de la Torre
José C. Segura
Gerardo Alguacil
Alejandro Díaz-Moreno
Janire Prudencio
Araceli García-Yeguas
Jesús M. Ibáñez
Luciano Zuccarello
Ornella Cocina
Domenico Patanè

Abstract

This work describes the automatic picking of the P-phase arrivals of the 3*106 seismic registers originated during the TOMO-ETNA experiment. Air-gun shots produced by the vessel “Sarmiento de Gamboa” and contemporary passive seismicity occurring in the island are recorded by a dense network of stations deployed for the experiment. In such scenario, automatic processing is needed given: (i) the enormous amount of data, (ii) the low Signal-to-Noise ratio of many of the available registers and, (iii) the accuracy needed for the velocity tomography resulting from the experiment. A preliminary processing is performed with the records obtained from all stations. Raw data formats from the different types of stations are unified, eliminating defective records and reducing noise through filtering in the band of interest for the phase picking. The Advanced Multiband Picking Algorithm (AMPA) is then used to process the big database obtained and determine the travel times of the seismic phases. The approach of AMPA, based on frequency multiband denoising and enhancement of expected arrivals through optimum detectors, is detailed together with its calibration and quality assessment procedure. Examples of its usage for active and passive seismic events are presented.

Article Details

How to Cite
1.
García L, Álvarez I, Benítez C, Titos M, Bueno Ángel, Mota S, de la Torre Ángel, Segura JC, Alguacil G, Díaz-Moreno A, Prudencio J, García-Yeguas A, Ibáñez JM, Zuccarello L, Cocina O, Patanè D. Advances on the automatic estimation of the P-wave onset time. Ann. Geophys. [Internet]. 2016Sep.30 [cited 2021Sep.25];59(4):S0434. Available from: https://www.annalsofgeophysics.eu/index.php/annals/article/view/7087
Section
SPECIAL ISSUE

Most read articles by the same author(s)

1 2 > >>