The Sannio and Irpinia seismogenic regions fall in the axial-frontal sector of the Southern Apennine belt. The border between these areas experienced several historical destructive earthquakes with Io IX MCS, as in 1456, 1702, 1732, and last but not least, in 1962 (Ariano Irpino Earthquake, MW=6.2). Although the location, geometry and kinematics of the causative faults of these earthquakes are still matter of debate. modelling procedures overcome this limit. The state of stress in the upper lithosphere is the main responsible for driving geodynamical processes; in order to retrieve the active stress field in a rock volume, stress inversion techniques can be applied on both seismological and structural datasets. This approach has been successfully applied to active tectonics as well as volcanic areas. In this context the best approach in managing heterogeneous datasets in volcanic environments consists in the analysis of spatial variations of the stress field by applying robust techniques of inversion.

Inferring on the seismogenesis of the Sannio-Irpinia border region (Southern Italy).

Massa B;
2016-01-01

Abstract

The Sannio and Irpinia seismogenic regions fall in the axial-frontal sector of the Southern Apennine belt. The border between these areas experienced several historical destructive earthquakes with Io IX MCS, as in 1456, 1702, 1732, and last but not least, in 1962 (Ariano Irpino Earthquake, MW=6.2). Although the location, geometry and kinematics of the causative faults of these earthquakes are still matter of debate. modelling procedures overcome this limit. The state of stress in the upper lithosphere is the main responsible for driving geodynamical processes; in order to retrieve the active stress field in a rock volume, stress inversion techniques can be applied on both seismological and structural datasets. This approach has been successfully applied to active tectonics as well as volcanic areas. In this context the best approach in managing heterogeneous datasets in volcanic environments consists in the analysis of spatial variations of the stress field by applying robust techniques of inversion.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12070/15026
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