Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/10480
AuthorsGarcía, L.* 
Álvarez, I.* 
Benitez, C.* 
Titos, M.* 
Bueno, A.* 
Mota, S.* 
De La Torre, A.* 
Segura, J. C.* 
Aguacil, G.* 
Diaz-Moreno, A.* 
Prudencio, J.* 
Garcia-Yeguas, A.* 
Ibanez, J. M.* 
Zuccarello, L.* 
Cocina, O.* 
Patane, D.* 
TitleAdvances on the automatic estimation of the P-wave onset time.
Issue Date2016
Series/Report no./59 (2016)
DOI10.4401/ag-7087
URIhttp://hdl.handle.net/2122/10480
KeywordsMultiband frequency analysis
Automatic P-phase picking
Active/passive seismic phases
TOMO-ETNA
Subject Classification04. Solid Earth::04.06. Seismology::04.06.09. Waves and wave analysis 
AbstractThis work describes the automatic picking of the P-phase arrivals of the 3*10^6 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.
Appears in Collections:Papers Published / Papers in press

Files in This Item:
File Description SizeFormat 
Garcia_Zuccarello_AnnalsOfGeophysics_2016.pdfMain Article5.83 MBAdobe PDFView/Open
Show full item record

Page view(s)

10
Last Week
1
Last month
1
checked on Aug 20, 2017

Download(s)

11
checked on Aug 20, 2017

Google ScholarTM

Check

Altmetric