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.
Development and technical paper
| 
15 Dec 2014
Development and technical paper |
| 15 Dec 2014
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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- Development of a coupled hydrological-geotechnical framework for rainfall-induced landslides prediction X. He et al. 10.1016/j.jhydrol.2016.10.016
- A Sequentially Coupled Catchment‐Scale Numerical Model for Snowmelt‐Induced Soil Slope Instabilities S. Siva Subramanian et al. 10.1029/2019JF005468
- Estimates of three-dimensional rupture surface geometry of deep-seated landslides using landslide inventories and high-resolution topographic data M. Bunn et al. 10.1016/j.geomorph.2020.107332
- Effects of soil heterogeneity on susceptibility of shallow landslides E. Oguz et al. 10.1007/s10346-021-01738-x
- An open-source and QGIS-integrated physically based model for Spatial Prediction of Rainfall-Induced Shallow Landslides (SPRIn-SL) L. Raimondi et al. 10.1016/j.envsoft.2022.105587
- Analysis of Rainfall-Induced Landslide on Unsaturated Soil Slopes S. Jeong et al. 10.3390/su9071280
- r.randomwalk v1, a multi-functional conceptual tool for mass movement routing M. Mergili et al. 10.5194/gmd-8-4027-2015
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- Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
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- Landslide susceptibility mapping with r.landslide: A free open-source GIS-integrated tool based on Artificial Neural Networks L. Bragagnolo et al. 10.1016/j.envsoft.2019.104565
- Landslide Susceptibility Assessment Using the Scoops3D Model in a Tropical Mountainous Terrain R. Marín & R. Jaramillo-González 10.17230/ingciencia.17.33.4
- A spaceborne SAR-based procedure to support the detection of landslides G. Esposito et al. 10.5194/nhess-20-2379-2020
- Effects of plant roots on soil shear strength and shallow landslide proneness in an area of northern Italian Apennines M. Bordoni et al. 10.1007/s10064-020-01783-1
- A computationally efficient system for assessing near-real-time instability of regional unsaturated soil slopes under rainfall L. Li et al. 10.1007/s10346-019-01307-3
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- Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning models Z. Chang et al. 10.1016/j.gr.2023.02.007
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- Integration of root systems into a GIS-based slip surface model: computational experiments in a generic hillslope environment E. Schmaltz & M. Mergili 10.1007/s10346-018-0970-8
- Combining release and runout in statistical landslide susceptibility modeling M. Mergili et al. 10.1007/s10346-019-01222-7
- ALICE (Assessment of Landslides Induced by Climatic Events): A single tool to integrate shallow and deep landslides for susceptibility and hazard assessment R. Vandromme et al. 10.1016/j.geomorph.2020.107307
- 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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Latest update: 26 Sep 2023
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...
