Engineering Geology for Society and Territory - Volume 2 pp 1437-1440 | Cite as
GIS-Based Deterministic Analysis of Deep-Seated Slope Stability in a Complex Geological Setting
The r.slope.stability computer model evaluates the slope stability for large areas making use of a modification of the three-dimensional sliding surface model proposed by Hovland and revised and extended by Xie and co-workers. The initial version of the model was modified both to reduce computing time (parallel processing of tiles) and to explore the possibilities to perform slope stability modelling in a complex geological setting. The model was applied to the 10 km2 Ripoli area in Umbria, central Italy to demonstrate the importance of the setting of the geological layers as well as of the seepage direction of the groundwater for the model outcome of deep-seated slope stability modelling. Parallel processing allows reducing the computing time by approx. one order of magnitude.
KeywordsGeological layers Slip ellipsoid Slope stability Open source GIS
Work partially supported by grants from the Italian National Department for Civil Protection, and the Regione dell’Umbria under contract POR-FESR Umbria 2007–2013.
- GRASS Development Team (2013) GRASS GIS. The world’s leading free GIS software. Open source geospatial foundation project. http://grass.osgeo.org. Accessed 1 Aug 2013
- Hovland HJ (1977) Three-dimensional slope stability analysis method. J Geotech Eng Div Proc Am Soc Civ Eng 103(GT9):971–986Google Scholar
- Marchesini I, Santangeolo M, Fiorucci F, Cardinali M, Rossi M, Guzzetti F (2013) A GIS method for obtaining geologic bedding attitude. In: Proceedings of the second world landslide forum—putting science into practice, Rome, 3–7 Oct 2011Google Scholar
- Santangelo M, Bucci F, Cardinali M, Marchesini I, Rossi M, Guzzetti F (2012) Morpho-structural influences on landslide pattern and distribution: Grass GIS tool application. Geophys Res Abs 14:EGU2012-12457Google Scholar
- Xie M, Esaki T, Zhou G, Mitani Y (2003) Three-dimensional stability evaluation of landslides and a sliding process simulation using a new geographic information systems component. Environ Geol 43:503–512Google Scholar