The paper is concerned with an experimental study aimed at evaluating the landslide susceptibility using a multidisciplinary approach. It is included in a wider research project, promoted by the Tuscany Region Administration and APAT-Italian Geological Survey. This project is aimed at defining the landslide hazard in the area of the Sheet 250 «Castelnuovo di Garfagnana» (1:50,000 scale) of the new Geological Map of Italy (Fig. 1) (see the ISPRA - Italian Geological Survey web site for detail). The peculiar geological and geomorphological settings of the study area, the severe climatic conditions favour hydro-geological instability. This area, due to its geographical position and conformation, is one of the rainiest in Italy: the annual average rainfall is a typical value in the internal Apennines zones (about 1500-2000 mm). Geological and geo-engineering characteristics of rocks and soils cause widespread landslide-prone areas, life-threatening and exposing to severe danger of towns, resorts, factories and roads. The landslide susceptibility evaluation adopted in this study is referred to spatially defined landslide susceptibility areas, and no estimate is given as regards the time of occurrence. Moreover, the methodology applied in ranking slope instability concerned the most representative landslide types that are slides and complex slide-flow movements. Conditional analysis was the first step of the methodology, applied for evaluating the terrain zonation into different landslide susceptibility categories. This is a conceptually easy statistical method aimed at the qualitative evaluation of the importance of the instability factors. In the second step advanced statistical method (Logistic Regression) was applied in order to quantitatively evaluate the effectiveness of the predisposing factors and to provide the susceptibility ranking of the mapping units. The multidisciplinary approach provides geological, geomorphological and geo-engineering characterization, together with GIS-supported spatial analysis and statistical data analysis. The final product (Fig. 2) consists of a landslide susceptibility map at 1:50,000 scale, put in a frame with some small scale maps showing the areal distribution of the most significant factors, and the related illustrative notes.

Assessing landslide hazard: the slope instability hazard map of the Castelnuovo di Garfagnana territory (Tuscany, Italy)

PUCCINELLI, ALBERTO;D'AMATO AVANZI, GIACOMO ALFREDO;GIANNECCHINI, ROBERTO;RIBOLINI, ADRIANO
2010-01-01

Abstract

The paper is concerned with an experimental study aimed at evaluating the landslide susceptibility using a multidisciplinary approach. It is included in a wider research project, promoted by the Tuscany Region Administration and APAT-Italian Geological Survey. This project is aimed at defining the landslide hazard in the area of the Sheet 250 «Castelnuovo di Garfagnana» (1:50,000 scale) of the new Geological Map of Italy (Fig. 1) (see the ISPRA - Italian Geological Survey web site for detail). The peculiar geological and geomorphological settings of the study area, the severe climatic conditions favour hydro-geological instability. This area, due to its geographical position and conformation, is one of the rainiest in Italy: the annual average rainfall is a typical value in the internal Apennines zones (about 1500-2000 mm). Geological and geo-engineering characteristics of rocks and soils cause widespread landslide-prone areas, life-threatening and exposing to severe danger of towns, resorts, factories and roads. The landslide susceptibility evaluation adopted in this study is referred to spatially defined landslide susceptibility areas, and no estimate is given as regards the time of occurrence. Moreover, the methodology applied in ranking slope instability concerned the most representative landslide types that are slides and complex slide-flow movements. Conditional analysis was the first step of the methodology, applied for evaluating the terrain zonation into different landslide susceptibility categories. This is a conceptually easy statistical method aimed at the qualitative evaluation of the importance of the instability factors. In the second step advanced statistical method (Logistic Regression) was applied in order to quantitatively evaluate the effectiveness of the predisposing factors and to provide the susceptibility ranking of the mapping units. The multidisciplinary approach provides geological, geomorphological and geo-engineering characterization, together with GIS-supported spatial analysis and statistical data analysis. The final product (Fig. 2) consists of a landslide susceptibility map at 1:50,000 scale, put in a frame with some small scale maps showing the areal distribution of the most significant factors, and the related illustrative notes.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/195350
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