3D tomographic imaging of the southern Apennines (Italy): A statistical approach to estimate the model uncertainty and resolution |
| |
| Authors: | Raffaella De Matteis Annalisa Romeo Giuseppe Pasquale Giovanni Iannaccone Aldo Zollo |
| |
| Institution: | (2) Dept. of Earth Sciences, The University of Memphis, Memphis, USA; |
| |
| 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 model parameters is studied using a statistical approach based on a Monte Carlo-type analysis. How the uncertainty
in the initial model, earthquake locations, and data influences the inversion result is studied by considering separately
the individual effects. Checkerboard tests are performed to estimate the resolving power of the dataset. Re-located seismicity
in a reliable new 3D tomographic model allows us to correlate the earthquake distribution with the main seismogenic structures
present in the area. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
