2010
DOI: 10.1007/s11200-010-0022-x
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3D tomographic imaging of the southern Apennines (Italy): A statistical approach to estimate the model uncertainty and resolution

Abstract: A new dataset of first P-wave arrival times is used to derive the 3D tomographic model of the Campania-Lucania region in the southern Apennines (Italy). We address the issue related to the non-uniqueness of the tomographic inversion solution through massive numerical experimentation based on the global exploration of the model parameter space starting from a large variety of physically plausible initial models. The average of all the realizations is adopted as the best-fit solution and the uncertainty of the m… Show more

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Cited by 10 publications
(4 citation statements)
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“…We chose the P-wave velocity model by Barberi et al (2004) as the starting reference 1D velocity model for the preliminary hypocenter location and data pre-processing. Then, we applied a statistical procedure that allows to find the most reliable local reference 1D velocity model to be used as an input in the 3D tomography of the study area (Vanorio et al, 2005;De Matteis et al, 2010). Following this procedure, we generated 120 1D P-wave models characterized by velocity values randomly chosen in the range ±500 m/s around the value of the reference model for each layer (Figure 3A).…”
Section: Tomographic Methods and Inversion Strategymentioning
confidence: 99%
“…We chose the P-wave velocity model by Barberi et al (2004) as the starting reference 1D velocity model for the preliminary hypocenter location and data pre-processing. Then, we applied a statistical procedure that allows to find the most reliable local reference 1D velocity model to be used as an input in the 3D tomography of the study area (Vanorio et al, 2005;De Matteis et al, 2010). Following this procedure, we generated 120 1D P-wave models characterized by velocity values randomly chosen in the range ±500 m/s around the value of the reference model for each layer (Figure 3A).…”
Section: Tomographic Methods and Inversion Strategymentioning
confidence: 99%
“…We initially identified the accurate absolute locations of the events using a nonlinear global approach (NonLinLoc) 25 in a 3-D velocity model of the Campania-Lucania area 26 27 . Subsequently, we refined the locations by applying a double-difference technique (HypoDD) 28 , which solves the double-difference equations using the singular value decomposition, in the equivalent layer-averaged 1-D velocity model 29 .…”
Section: Methodsmentioning
confidence: 99%
“…Marzano and the neighboring area, which recorded widespread coseismic ruptures and a large number of secondary geological effects, including landslides, ground cracks, liquefaction, and variations in the discharge rate of major carbonate springs [14]. The area, which was also struck by a seismic sequence with a M L = 4.9 mainshock [85] in 1996, is presently affected by subdued background seismicity with M L ranging between 1 and 3.3 (Figure 5) [4,[86][87][88]. In July 2020, the NW termination of the extensional fault system (in the Rocca San Felice area; location in Figure 2a) was affected by a minor seismic sequence (with maximum M L = 3.0 recorded for two shocks), including 43 events distributed over a NW-SE-trending, narrow, ca.…”
Section: Seismicitymentioning
confidence: 99%