Abstract
We demonstrate the computer model r.rotstab.layers to explore the possibilities of GIS for catchment-scale deep-seated slope stability modelling in complex geology. This model makes use of a modification of the three-dimensional sliding surface model proposed by Hovland and revised and extended by Xie and co-workers. It evaluates the slope stability for a large number of ellipsoidal random slip surfaces which may be truncated at the interfaces between geological layers. This results in a spatial overview of potentially unstable regions. After demonstrating the functionality of the model with an artificial cone-shaped terrain, we test r.rotstab.layers for the 10 km2 Ripoli area in Umbria, central Italy. According to field observations in the Ripoli area, morpho-structural settings play a crucial role for deep-seated landslide distribution. We have prepared a model of the geological layers based on surface information on the strike and dip of each layer, and we use this model as input for r.rotstab.layers. We show that (1) considering the geological layers is essential for the outcome of deep-seated slope stability modelling, and (2) the seepage direction of the groundwater is a major source of uncertainty.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ardizzone F, Cardinali M, Galli M, Guzzetti F, Reichenbach P (2007) Identification and mapping of recent rainfall-induced landslides using elevation data collected by airborne Lidar. Nat Hazards Earth Syst Sci 7:637–650
Bishop AW (1954) The use of the slip circle in the stability analysis of slopes. Geotechnique 5(1):7–17
Fiorucci F, Cardinali M, Carlà R, Rossi M, Mondini AC, Santurri L, Ardizzone F, Guzzetti F (2011) Seasonal landslides mapping and estimation of landslide mobilization rates using aerial and satellite images. Geomorphology 129(1–2):59–70
Galli M, Ardizzone F, Cardinali M, Guzzetti F, Reichenbach P (2008) Comparing landslide inventory maps. Geomorphology 94:268–289
Guzzetti F, Galli M, Reichenbach P, Ardizzone F, Cardinali M (2006) Landslide hazard assessment in the Collazzone area, Umbria, Central Italy. Nat Hazards Earth Syst Sci 6:115–131
GRASS Development Team (2013) GRASS GIS. The world’s leading Free GIS software. Open source geospatial foundation project. URL: http://grass.osgeo.org. Last accessed August 1, 2013
Hovland HJ (1977) Three-dimensional slope stability analysis method. J Geotech Eng Div ASCE 103(GT9):971–986
Janbu N, Bjerrum L, Kjaernsli B (1956) Soil mechanics applied to some engineering problems. Publication 16, Norwegian Geotechnical Institute, Oslo
Jia N, Mitani Y, Xie M, Djamaluddin I (2012) Shallow landslide hazard assessment using a three-dimensional deterministic model in a mountainous area. Comput Geotech 45:1–10
Marchesini I, Cencetti C, De Rosa P (2009) A preliminary method for the evaluation of the landslides volume at a regional scale. Geoinformatica 13:277–289
Marchesini I, Santangelo M, Fiorucci F, Cardinali M, Rossi M, Guzzetti F (2013) A GIS method for obtaining geologic bedding attitude. In: Margottini C, Canuti P, Sassa K (eds) Landslide science and practice. Springer, Berlin, pp 243–247
Meentemeyer RK, Moody A (2000) Automated mapping of conformity between topographic and geological surfaces. Comput Geosci 26:815–829
Mergili M, Marchesini I, Rossi M, Guzzetti F, Fellin W (2014) Spatially distributed three-dimensional slope stability modelling in a raster GIS. Geomorphology 206:178–195
Rossi M, Guzzetti F, Reichenbach P, Mondini AC, Peruccacci S (2010) Optimal landslide susceptibility zonation based on multiple forecasts. Geomorphology 114:129–142
Santangelo M, Marchesini I, Cardinali M, Fiorucci F, Rossi M, Bucci F, Guzzetti F (2014) A method for the assessment of the influence of bedding on landslide abundance and types. Landslides (Accepted)
Van Westen CJ, Van Asch TWJ, Soeters R (2006) Landslide hazard and risk zonation – why is it still so difficult? Bull Eng Geol Environ 65:167–184
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 43:503–512
Xie M, Esaki T, Cai M (2004a) A GIS-based method for locating the critical 3D slip surface in a slope. Comput Geotech 31:267–277
Xie M, Esaki T, Zhou G (2004b) GIS-based probabilistic mapping of landslide hazard using a three-dimensional deterministic model. Nat Hazards 33:265–282
Xie M, Esaki T, Qiu C, Wang C (2006) Geographical information system-based computational implementation and application of spatial three-dimensional slope stability analysis. Comput Geotech 33:260–274
Zambelli P, Gebbert S, Ciolli M (2013) Pygrass: an object oriented python Application Programming Interface (API) for Geographic Resources Analysis Support System (GRASS) Geographic Information System (GIS). ISPRS Int J Geo-Inform 2(1):201–219
Acknowledgments
Special thanks go to Matthias Benedikt, Stefan Fugger, Sebastian Matz and Stefan Tilg. The work was partially supported by the Italian National Department for Civil Protection, and the Regione dell’Umbria under the contract POR-FESR Umbria 2007–2013.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Marchesini, I. et al. (2014).
A GIS Approach to Analysis of Deep-Seated Slope Stability in Complex Geology.
In: Sassa, K., Canuti, P., Yin, Y. (eds) Landslide Science for a Safer Geoenvironment. Springer, Cham. https://doi.org/10.1007/978-3-319-05050-8_75
Download citation
DOI: https://doi.org/10.1007/978-3-319-05050-8_75
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05049-2
Online ISBN: 978-3-319-05050-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)