Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/9174
Authors: De Lorenzo, S.* 
Romeo, A.* 
Falco, L.* 
Michele, M.* 
Tallarico, A.* 
Title: A first look at the Gargano (southern Italy) seismicity as seen by the local scale OTRIONS seismic network
Journal: Annals of Geophysics 
Series/Report no.: 4/54 (2014)
Issue Date: Jul-2014
DOI: 10.4401/ag-6594
URL: http://www.annalsofgeophysics.eu/index.php/annals/article/view/6594
Keywords: velocity
model
gargano
puglia
Subject Classification01. Atmosphere::01.01. Atmosphere::01.01.01. Composition and Structure 
04. Solid Earth::04.01. Earth Interior::04.01.01. Composition and state 
04. Solid Earth::04.02. Exploration geophysics::04.02.06. Seismic methods 
04. Solid Earth::04.02. Exploration geophysics::04.02.07. Instruments and techniques 
04. Solid Earth::04.04. Geology::04.04.09. Structural geology 
05. General::05.01. Computational geophysics::05.01.01. Data processing 
05. General::05.01. Computational geophysics::05.01.03. Inverse methods 
05. General::05.02. Data dissemination::05.02.02. Seismological data 
05. General::05.06. Methods::05.06.99. General or miscellaneous 
Abstract: On April 2013, a local scale seismic network, named OTRIONS, composed of twelve short period (1 Hz) three component seismometers, has been located in the northern part of the Apulia (southern Italy). In the first two months of data acquisition, the network recorded about one hundred very small (ML<2) magnitude earthquakes. A three-layer 1D VP velocity model was preliminarily computed, using the recordings of earthquakes occurred in the area in the period 2006-2012 and recorded by the national seismic network of INGV (Istituto Nazionale di Geofisica e Vulcanologia). This model was calibrated by means of a multi-scale approach, based on a global search of the minimum misfit between observed and theoretical travel times. At each step of the inversion, a grid-search technique was implemented to infer the elastic properties of the layers, by using HYPO71 to compute the forward models. In a further step, we used P and S travel times of both INGV and OTRIONS events to infer a minimum 1D VP velocity model, using a classical linearized inversion approach. Owing to the relatively small number of data and poor coverage of the area, in the inversion procedure, the VP/VS ratio was fixed to 1.82, as inferred from a modified Wadati diagram. The final 1D velocity model was obtained by averaging the inversion results arising from nine different initial velocity models. The inferred VP velocity model shows a gradual increase of P wave velocity with increasing the depth. The model is well constrained by data until to a depth of about 25-30 km.
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