Qualitative and quantitative estimation of distribution of the existing landslides or that could occur inside a determined area is named landslide susceptibility. The zoning of landslide susceptibility consists of inventory of landslides occurred in the past and identification of the areas where the landsliding could occur in the future. The paper shows the results of a study of fast flowslides susceptibility performed on an area placed between Scilla and Favazzina (RC) regularly and historically interested by rainfall and in some cases by earthquake induced landslides. The trend of inclination and lithological features of the potential detachment zones has been analyzed at 1:5.000 scale. Classes of inclinations, where the most part of detachment zones are clustered, have been identified and the distribution of these classes for each lithological type has been graphed. Among all surveyed events, the inclinations and lithological features of the detachment zones similar to those of the events occurred in the 2001 and 2005 have been found. Finally, in order to evaluate the susceptibility of the area, the paths of flowslides have been evaluated by numerical simulations using the SPH model.

Susceptibility analysis of rapid flowslides in southern Italy

Gioffre D.
Membro del Collaboration Group
;
2015-01-01

Abstract

Qualitative and quantitative estimation of distribution of the existing landslides or that could occur inside a determined area is named landslide susceptibility. The zoning of landslide susceptibility consists of inventory of landslides occurred in the past and identification of the areas where the landsliding could occur in the future. The paper shows the results of a study of fast flowslides susceptibility performed on an area placed between Scilla and Favazzina (RC) regularly and historically interested by rainfall and in some cases by earthquake induced landslides. The trend of inclination and lithological features of the potential detachment zones has been analyzed at 1:5.000 scale. Classes of inclinations, where the most part of detachment zones are clustered, have been identified and the distribution of these classes for each lithological type has been graphed. Among all surveyed events, the inclinations and lithological features of the detachment zones similar to those of the events occurred in the 2001 and 2005 have been found. Finally, in order to evaluate the susceptibility of the area, the paths of flowslides have been evaluated by numerical simulations using the SPH model.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1402414
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