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EnglishLandslide 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) / Glenda Taddia; Loretta Gnavi; Marco Piras; Maria Gabriella Forno; Andrea Lingua; Stefano Lo Russo. - 2(2015), pp. 177-181.
| Titolo: | Landslide Susceptibility Zoning Using GIS Tools: An Application in the Germanasca Valley (NW Italy) |
| Autori: | |
| Data di pubblicazione: | 2015 |
| Titolo del libro: | Engineering Geology for Society and Territory - Landslide Processes |
| Abstract: | Landslide susceptibility mapping is a fundamental tool for disaster management and planning devel...opment 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. |
| ISBN: | 9783319090573 |
| Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| 2014 - ID 2565741 IAEG Germanasca TORINO.pdf | 1. Preprint / Submitted Version | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
http://hdl.handle.net/11583/2565741
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