| Title | New insights into the 2012 Emilia (Italy) seismic sequence through advanced numerical modeling of ground deformation InSAR measurements |
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| Author | Tizzani, P; Castaldo, R; Solaro, G; Pepe, S; Bonano, M; Casu, F; Manunta, M; Manzo, M; Pepe, A; Samsonov, S ; Lanari, R; Sansosti, E |
| Source | Journal of Geophysical Research vol. 40, issue 10, 2013 p. 1971-1977, https://doi.org/10.1002/grl.50290  Open Access |
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| Year | 2013 |
| Alt Series | Earth Sciences Sector, Contribution Series 20130483 |
| Publisher | Wiley-Blackwell |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Area | Modena; Finale Emilia; Italy |
| Lat/Long WENS | 10.5000 11.7500 45.0333 44.5000 |
| Subjects | geophysics; modelling; remote sensing; deformation; earthquakes; faults; analytical methods; Mirandola anticline |
| Released | 2013 05 26 |
| Abstract | We provide new insights into the two main seismic events that occurred in 2012 in the Emilia region, Italy. We extend the results from previous studies based on analytical inversion modeling of GPS and
RADARSAT-1 InSAR measurements by exploiting RADARSAT-2 data. Moreover, we benefit from the available large amount of geological and geophysical information through finite element method (FEM) modeling implemented in a structural-mechanical context to
investigate the impact of known buried structures on the modulation of the ground deformation field. We find that the displacement pattern associated with the 20 May event is consistent with the activation of a single fault segment of the inner
Ferrara thrust, in good agreement with the analytical solution. In contrast, the interpretation of the 29 May episode requires the activation of three different fault segments and a block roto-translation of the Mirandola anticline. The proposed
FEM-based methodology is applicable to other seismic areas where the complexity of buried structures is known and plays a fundamental role in the modulation of the associated surface deformation pattern. |
| GEOSCAN ID | 293734 |
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