Landslide susceptibility mapping is a fundamental tool for disaster management and planning development activities in mountainous areas. The landslide susceptibility maps produced in the present work represent a step forward in the management of landslide hazard in the Germanasca valley (Western Alps, NW Italy). Landslide susceptibility analysis was conducted using a Geographic Information System and a specific ArcGIS® toolbox called ModelBuilder. In the specific case eight predisposing factors were considered: surface and bedrock lithology, distance from drainage, altitude, planform curvature, profile curvature, slope, aspect and land use. A dedicated MATLAB routine has been developed for calculating the correlation of landslide to each factor using the logistic regression method.
Landslide Susceptibility Zoning Using GIS Tools: An Application in the Germanasca Valley (NW Italy) / Taddia, Glenda; Gnavi, Loretta; Piras, Marco; Maria Gabriella, Forno; Lingua, Andrea Maria; LO RUSSO, Stefano - In: Engineering Geology for Society and Territory - Landslide Processes[s.l] : Springer International Publishing, 2015. - ISBN 9783319090573. - pp. 177-181 [10.1007/978-3-319-09057-3]
Landslide Susceptibility Zoning Using GIS Tools: An Application in the Germanasca Valley (NW Italy)
TADDIA, GLENDA;GNAVI, LORETTA;PIRAS, MARCO;LINGUA, Andrea Maria;LO RUSSO, STEFANO
2015
Abstract
Landslide susceptibility mapping is a fundamental tool for disaster management and planning development activities in mountainous areas. The landslide susceptibility maps produced in the present work represent a step forward in the management of landslide hazard in the Germanasca valley (Western Alps, NW Italy). Landslide susceptibility analysis was conducted using a Geographic Information System and a specific ArcGIS® toolbox called ModelBuilder. In the specific case eight predisposing factors were considered: surface and bedrock lithology, distance from drainage, altitude, planform curvature, profile curvature, slope, aspect and land use. A dedicated MATLAB routine has been developed for calculating the correlation of landslide to each factor using the logistic regression method.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2565741
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