Cataudella, Vittorio and Di Maio, Rosa and Milano, Leopoldo and Nicodemi, Mario (2009) Electrical resistivity tomography and statistical analysis in landslide modelling: a conceptual approach. [Pubblicazione in rivista scientifica]

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Tipologia del documento: Pubblicazione in rivista scientifica
Lingua: English
Titolo: Electrical resistivity tomography and statistical analysis in landslide modelling: a conceptual approach
Autori:
AutoreEmail
Cataudella, Vittorio[non definito]
Di Maio, Rosa[non definito]
Milano, Leopoldo[non definito]
Nicodemi, Mario[non definito]
Autore/i: PIEGARI E., CATAUDELLA V., DI MAIO R., MILANO L., NICODEMI M., SOLDOVIERI M.G.
Data: 2009
Numero di pagine: 8
Dipartimento: Scienze fisiche
Numero identificativo: 10.1016/j.jappgeo.2008.10.014
Titolo del periodico: JOURNAL OF APPLIED GEOPHYSICS
Data: 2009
Volume: 68
Intervallo di pagine: pp. 151-158
Numero di pagine: 8
Parole chiave: ERT surveys, Cellular automaton model, Landslide modelling
Numero identificativo: 10.1016/j.jappgeo.2008.10.014
Depositato il: 21 Ott 2010 06:57
Ultima modifica: 30 Apr 2014 19:43
URI: http://www.fedoa.unina.it/id/eprint/7621

Abstract

In this paper, we propose a new approach for modelling the development of instabilities in pyroclastic covers induced by rainfall events. The approach is based on high-resolution 2D electrical resistivity tomography (ERT) and on a cellular automaton model aimed to simulate landslide events. A local and time-dependent Factor of Safety of a slope, that depends on electrical resistivity and the slope angle, is introduced. We show the results of a model run on data acquired in a test area of the Campania Region (Italy), where shallow landslides involving pyroclastic soils are very frequent and often triggered by critical rainfall events. The shown example would just emphasize the potentiality of the proposed conceptual model, which integrates geophysical and statistical analyses, in the framework of the landslide hazard, since its validation and calibration is the next step that has to be taken.

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