Next Article in Journal
Investigating the Behavior of an Onshore Wall and Trench Combination Ahead of a Tsunami-Like Wave
Next Article in Special Issue
Laboratory and Physical Prototype Tests for the Investigation of Hydraulic Hysteresis of Pyroclastic Soils
Previous Article in Journal
Analysis of Fragmentation of Rock Blocks from Real-Scale Tests
Previous Article in Special Issue
The Role of Cover Thickness in the Rainfall-Induced Landslides of Nocera Inferiore 2005
Open AccessArticle

Mapping Landslide Prediction through a GIS-Based Model: A Case Study in a Catchment in Southern Italy

1
Department of Innovation in Biological, Agro-Food and Forest Systems, University of Tuscia, 01100 Viterbo, Italy
2
Institute for Agricultural and Forest Systems in the Mediterranean, National Research Council of Italy, 00100 Rome, Italy
3
Mountain Societies Research Institute, University of Central Asia, Khorog 736000, Tajikistan
4
Institute of Global Innovation Research, Tokyo University of Agriculture and Technology, Tokyo 183-8538, Japan
5
Sustainability Research Centre, University of the Sunshine Coast, Sippy Downs, QLD 4556, Australia
6
Institute of BioEconomy (IBE), 50019 Sesto Fiorentino (FI), Italy
*
Author to whom correspondence should be addressed.
Geosciences 2020, 10(8), 309; https://doi.org/10.3390/geosciences10080309
Received: 30 June 2020 / Revised: 7 August 2020 / Accepted: 10 August 2020 / Published: 12 August 2020
(This article belongs to the Special Issue Innovative Strategies for Sustainable Mitigation of Landslide Risk)
Shallow landslides are an increasing concern in Italy and worldwide because of the frequent association with vegetation management. As vegetation cover plays a fundamental role in slope stability, we developed a GIS-based model to evaluate the influence of plant roots on slope safety, and also included a landslide susceptibility map. The GIS-based model, 4SLIDE, is a physically based predictor for shallow landslides that combines geological, topographical, and hydrogeological data. The 4SLIDE combines the infinite slope model, TOPMODEL (for the estimation of the saturated water level), and a vegetation root strength model, which facilitates prediction of locations that are more susceptible for shallow landslides as a function of forest cover. The aim is to define the spatial distribution of Factor of Safety (FS) in steep-forested areas. The GIS-based model 4SLIDE was tested in a forest mountain watershed located in the Sila Greca (Cosenza, Calabria, South Italy) where almost 93% of the area is covered by forest. The sensitive ROC analysis (Receiver Operating Characteristic) indicates that the model has good predictive capability in identifying the areas sensitive to shallow landslides. The localization of areas at risk of landslides plays an important role in land management activities because landslides are among the most costly and dangerous hazards. View Full-Text
Keywords: shallow landslide; root cohesion; infinite slope analysis; integrated modelling; GIS; forest management shallow landslide; root cohesion; infinite slope analysis; integrated modelling; GIS; forest management
Show Figures

Graphical abstract

MDPI and ACS Style

Moresi, F.V.; Maesano, M.; Collalti, A.; Sidle, R.C.; Matteucci, G.; Scarascia Mugnozza, G. Mapping Landslide Prediction through a GIS-Based Model: A Case Study in a Catchment in Southern Italy. Geosciences 2020, 10, 309.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop