GIS-based statistical analysis for assessing shallow-landslide susceptibility along the highway in Calabria (southern Italy)

2016 ◽  
Vol 39 ◽  
pp. 155-158 ◽  
Author(s):  
Massimo Conforti ◽  
Valeria Rago ◽  
Francesco Muto ◽  
Pasquale Versace
Keyword(s):  
Statistical Analysis ◽  
Landslide Susceptibility ◽  
Southern Italy ◽  
Shallow Landslide

Statistical analysis for assessing shallow-landslide susceptibility in South Tyrol (south-eastern Alps, Italy)

Geomorphology ◽  
2012 ◽  
Vol 151-152 ◽  
pp. 196-206 ◽  
Author(s):  
Daniela Piacentini ◽  
Francesco Troiani ◽  
Mauro Soldati ◽  
Claudia Notarnicola ◽  
Daniele Savelli ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Landslide Susceptibility ◽  
Eastern Alps ◽  
Shallow Landslide ◽  
South Tyrol ◽  
South Eastern

scholarly journals Landslide Susceptibility Analysis by Applying TRIGRS to a Reliable Geotechnical Slope Model

Geosciences ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 18
Author(s):  
Mariantonietta Ciurleo ◽  
Settimio Ferlisi ◽  
Vito Foresta ◽  
Maria Clorinda Mandaglio ◽  
Nicola Moraci
Keyword(s):  
Landslide Susceptibility ◽  
Debris Flows ◽  
Input Data ◽  
Southern Italy ◽  
Scientific Literature ◽  
Shallow Landslide ◽  
Shallow Landslides ◽  
Predictive Capability ◽  
Performance Technique

This paper presents the results of a research aimed at analysing the susceptibility to shallow landslides of a study area in the Calabria region (Southern Italy). These shallow landslides, which in some cases evolve as debris flows, periodically affect the study area, causing damage to structures and infrastructure. The involved soils come from the weathering of gneissic rocks and cover about 60% of the study area. To fulfil the goal of the research, the Transient Rainfall Infiltration and Grid-based Slope-Stability (TRIGRS) model was first used, assuming input data (including physical and mechanical parameters of soils) provided by the scientific literature. Then, the preliminary results obtained were used to properly locate in situ investigations that included sampling. Geotechnical laboratory tests allowed characterising the investigated soils, and related parameters were used as new input data of the TRIGRS model. The generated shallow landslide susceptibility scenario showed a good predictive capability based on the adoption of a cutoff-independent performance technique.

Modelling shallow landslide susceptibility: a new approach in logistic regression by using favourability assessment

2009 ◽  
Vol 99 (3) ◽  
pp. 661-674 ◽  
Author(s):  
María José Domínguez-Cuesta ◽  
Montserrat Jiménez-Sánchez ◽  
Ana Colubi ◽  
Gil González-Rodríguez
Keyword(s):  
Logistic Regression ◽  
Landslide Susceptibility ◽  
Shallow Landslide ◽  
New Approach

Shallow Landslide Susceptibility Mapping for Zagreb Hilly Area, Croatia

2014 ◽  
pp. 527-531
Author(s):  
Chunxiang Wang ◽  
Snjezana Mihalić Arbanas ◽  
Hideaki Marui ◽  
Naoki Watanabe ◽  
Gen Furuya
Keyword(s):  
Landslide Susceptibility ◽  
Shallow Landslide ◽  
Susceptibility Mapping ◽  
Landslide Susceptibility Mapping ◽  
Hilly Area

scholarly journals Intrinsic Environmental Vulnerability as Shallow Landslide Susceptibility in Environmental Impact Assessment

2019 ◽  
Vol 11 (22) ◽  
pp. 6285 ◽  
Author(s):  
Laura Turconi ◽  
Fabio Luino ◽  
Mattia Gussoni ◽  
Francesco Faccini ◽  
Marco Giardino ◽  
...  
Keyword(s):  
Environmental Impact ◽  
Impact Assessment ◽  
Environmental Impact Assessment ◽  
Landslide Susceptibility ◽  
Shallow Landslide ◽  
Environmental Vulnerability ◽  
Shared Information ◽  
Gis Environment ◽  
Nw Italy ◽  
Policy And Planning

This work investigated the susceptibility factors that trigger shallow landslides. In particular, the objective of the research was the implementation of a method to determine the relevant factors that can trigger shallow landslide events. However, with respect to the existing methods, the integration with historical datasets and the inclusion of spatial factors displaying dynamics in the same characteristic timescales were specific features of the developed tool. The study area included the watersheds of the Sessera and Strona rivers in the alpine area of the Province of Biella (Piedmont, NW Italy). The method was developed and tested from two sub-datasets derived from an integrated dataset that referred to an intense event, involving the same area, that occurred in 1968 (2–3 November). This allowed the implementation of an integrated representation of landslides’ predisposing factors and the identification and classification in different groups of the areas susceptible to geo-hydrological instability processes. The previously existing databases were verified and integrated into a geographic information system (GIS) environment, giving a potentially sharable source of information for planning purposes. The obtained maps represent a metric of one of the possible intrinsic environmental vulnerability factors for the area under study. Consequently, this method can represent a future instrument for determining the intrinsic environmental vulnerability dependent on landslides within an environmental impact assessment (EIA), as required by the most recent European regulation on EIA. Moreover, the shared information can be used to implement informed policy and planning processes, based on a bottom-up approach. In particular, the availability online of landslide susceptibility maps could support the generation of augmented information—useful for both local administrators and planners as well as for stakeholders willing to implement specific projects or infrastructure in vulnerable areas, such as mountains.

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