Articles | Volume 7, issue 6
https://doi.org/10.5194/gmd-7-2969-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-7-2969-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A strategy for GIS-based 3-D slope stability modelling over large areas
Institute of Applied Geology, BOKU University, Vienna, Austria
I. Marchesini
CNR-IRPI, Perugia, Italy
M. Alvioli
CNR-IRPI, Perugia, Italy
M. Metz
Fondazione Edmund Mach, San Michele all'Adige, Italy
B. Schneider-Muntau
Division of Geotechnical and Tunnel Engineering, University of Innsbruck, Innsbruck, Austria
CNR-IRPI, Perugia, Italy
Department of Geosciences, University of Perugia, Perugia, Italy
F. Guzzetti
CNR-IRPI, Perugia, Italy
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- iHydroSlide3D v1.0: an advanced hydrological–geotechnical model for hydrological simulation and three-dimensional landslide prediction G. Chen et al. 10.5194/gmd-16-2915-2023
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- Assessing the influence of morpho-structural setting on landslide abundance I. Marchesini et al. 10.1080/17499518.2015.1058956
- A New Approach Based on Balancing Composite Motion Optimization and Deep Neural Networks for Spatial Prediction of Landslides at Tropical Cyclone Areas T. Tuan et al. 10.1109/ACCESS.2023.3291411
3 citations as recorded by crossref.
- Investigating the role of stratigraphy in large-area physically-based analysis of December 1999 Cervinara shallow landslides S. Cuomo & A. Iervolino 10.1007/s11629-014-3261-4
- Improving the reliability of landslide susceptibility mapping through spatial uncertainty analysis: a case study of Al Hoceima, Northern Morocco H. Rahali 10.1080/10106049.2017.1357767
- Effect of the inclined weak interlayers on the rainfall response of a bedded rock slope L. Li & N. Ju 10.1007/s11629-015-3594-7
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Short summary
The article deals with strategies to (i) reduce computation time and to (ii) appropriately account for uncertain input parameters when applying an open source GIS sliding surface model to estimate landslide susceptibility for a 90km² study area in central Italy. For (i), the area is split into a large number of tiles, enabling the exploitation of multi-processor computing environments. For (ii), the model is run with various parameter combinations to compute the slope failure probability.
The article deals with strategies to (i) reduce computation time and to (ii) appropriately...