GIS-based deterministic analysis of deep-seated slope stability in a complex geological setting

Author(s)
Martin Mergili, Ivan Marchesini, Massimiliano Alvioli, Mauro Rossi, Michele Santangelo, Mauro Cardinali, Francesca Ardizzone, Federica Fiorucci, Barbara Schneider-Muntau, Wolfgang Fellin, Fausto Guzzetti
Abstract

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 tothe 10 km

2 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. .

Organisation(s)
Department of Geography and Regional Research
External organisation(s)
Institute of Genetics and Biophysics "Adriano Buzzati-Traverso", CNR, Leopold-Franzens-Universität Innsbruck
Pages
1437-1440
No. of pages
4
DOI
https://doi.org/10.1007/978-3-319-09057-3_254
Publication date
2015
Austrian Fields of Science 2012
105403 Geoinformatics, 207201 Soil mechanics
Keywords
ASJC Scopus subject areas
Environmental Science(all), Earth and Planetary Sciences(all)
Portal url
https://ucrisportal.univie.ac.at/en/publications/gisbased-deterministic-analysis-of-deepseated-slope-stability-in-a-complex-geological-setting(24051c16-3d72-41c8-b258-4a8ff77290b2).html