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Volume 7, issue 6
Geosci. Model Dev., 7, 2969–2982, 2014
https://doi.org/10.5194/gmd-7-2969-2014
© Author(s) 2014. This work is distributed under
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.
Geosci. Model Dev., 7, 2969–2982, 2014
https://doi.org/10.5194/gmd-7-2969-2014
© Author(s) 2014. This work is distributed under
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.
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
M. Mergili et al.
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Cited
34 citations as recorded by crossref.
- Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology E. Canli et al. 10.5194/nhess-18-2183-2018
- Including root reinforcement variability in a probabilistic 3D stability model A. Cislaghi et al. 10.1002/esp.4127
- Characterization and quantification of path dependency in landslide susceptibility J. Samia et al. 10.1016/j.geomorph.2017.04.039
- Development and validation of the terrain stability model for assessing landslide instability during heavy rain infiltration A. Gutiérrez-Martín et al. 10.5194/nhess-19-721-2019
- 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
- Does parameterization influence the performance of slope stability model results? A case study in Rio de Janeiro, Brazil C. de Lima Neves Seefelder et al. 10.1007/s10346-016-0783-6
- r.randomwalk v1.0, a multi-functional conceptual tool for mass movement routing M. Mergili et al. 10.5194/gmdd-8-8193-2015
- Analysis of Rainfall-Induced Landslide on Unsaturated Soil Slopes S. Jeong et al. 10.3390/su9071280
- Forecasting natural hazards, performance of scientists, ethics, and the need for transparency F. Guzzetti 10.1080/02772248.2015.1030664
- r.randomwalk v1, a multi-functional conceptual tool for mass movement routing M. Mergili et al. 10.5194/gmd-8-4027-2015
- r.avaflow v1, an advanced open-source computational framework for the propagation and interaction of two-phase mass flows M. Mergili et al. 10.5194/gmd-10-553-2017
- Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
- A GIS-physically-based emergency methodology for predicting rainfall-induced shallow landslide zonation A. Gutiérrez-Martín 10.1016/j.geomorph.2020.107121
- 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
- Parallelization of the TRIGRS model for rainfall-induced landslides using the message passing interface M. Alvioli & R. Baum 10.1016/j.envsoft.2016.04.002
- A spaceborne SAR-based procedure to support the detection of landslides G. Esposito et al. 10.5194/nhess-20-2379-2020
- Integrated statistical modelling of spatial landslide probability M. Mergili & H. Chu 10.5194/nhessd-3-5677-2015
- 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
- Site-specific to local-scale shallow landslides triggering zones assessment using TRIGRS M. Bordoni et al. 10.5194/nhess-15-1025-2015
- 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
- Integration of two-phase solid fluid equations in a catchment model for flashfloods, debris flows and shallow slope failures B. Bout et al. 10.1016/j.envsoft.2018.03.017
- Probabilistic landslide susceptibility analysis in tropical mountainous terrain using the physically based r.slope.stability model J. Palacio Cordoba et al. 10.5194/nhess-20-815-2020
- Three-dimensional, time-dependent modeling of rainfall-induced landslides over a digital landscape: a case study T. Tran et al. 10.1007/s10346-017-0931-7
- Implications of climate change on landslide hazard in Central Italy M. Alvioli et al. 10.1016/j.scitotenv.2018.02.315
- 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
- A review of statistically-based landslide susceptibility models P. Reichenbach et al. 10.1016/j.earscirev.2018.03.001
- Assessing the influence of morpho-structural setting on landslide abundance I. Marchesini et al. 10.1080/17499518.2015.1058956
- 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
31 citations as recorded by crossref.
- Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology E. Canli et al. 10.5194/nhess-18-2183-2018
- Including root reinforcement variability in a probabilistic 3D stability model A. Cislaghi et al. 10.1002/esp.4127
- Characterization and quantification of path dependency in landslide susceptibility J. Samia et al. 10.1016/j.geomorph.2017.04.039
- Development and validation of the terrain stability model for assessing landslide instability during heavy rain infiltration A. Gutiérrez-Martín et al. 10.5194/nhess-19-721-2019
- 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
- Does parameterization influence the performance of slope stability model results? A case study in Rio de Janeiro, Brazil C. de Lima Neves Seefelder et al. 10.1007/s10346-016-0783-6
- r.randomwalk v1.0, a multi-functional conceptual tool for mass movement routing M. Mergili et al. 10.5194/gmdd-8-8193-2015
- Analysis of Rainfall-Induced Landslide on Unsaturated Soil Slopes S. Jeong et al. 10.3390/su9071280
- Forecasting natural hazards, performance of scientists, ethics, and the need for transparency F. Guzzetti 10.1080/02772248.2015.1030664
- r.randomwalk v1, a multi-functional conceptual tool for mass movement routing M. Mergili et al. 10.5194/gmd-8-4027-2015
- r.avaflow v1, an advanced open-source computational framework for the propagation and interaction of two-phase mass flows M. Mergili et al. 10.5194/gmd-10-553-2017
- Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
- A GIS-physically-based emergency methodology for predicting rainfall-induced shallow landslide zonation A. Gutiérrez-Martín 10.1016/j.geomorph.2020.107121
- 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
- Parallelization of the TRIGRS model for rainfall-induced landslides using the message passing interface M. Alvioli & R. Baum 10.1016/j.envsoft.2016.04.002
- A spaceborne SAR-based procedure to support the detection of landslides G. Esposito et al. 10.5194/nhess-20-2379-2020
- Integrated statistical modelling of spatial landslide probability M. Mergili & H. Chu 10.5194/nhessd-3-5677-2015
- 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
- Site-specific to local-scale shallow landslides triggering zones assessment using TRIGRS M. Bordoni et al. 10.5194/nhess-15-1025-2015
- 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
- Integration of two-phase solid fluid equations in a catchment model for flashfloods, debris flows and shallow slope failures B. Bout et al. 10.1016/j.envsoft.2018.03.017
- Probabilistic landslide susceptibility analysis in tropical mountainous terrain using the physically based r.slope.stability model J. Palacio Cordoba et al. 10.5194/nhess-20-815-2020
- Three-dimensional, time-dependent modeling of rainfall-induced landslides over a digital landscape: a case study T. Tran et al. 10.1007/s10346-017-0931-7
- Implications of climate change on landslide hazard in Central Italy M. Alvioli et al. 10.1016/j.scitotenv.2018.02.315
- 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
- A review of statistically-based landslide susceptibility models P. Reichenbach et al. 10.1016/j.earscirev.2018.03.001
- Assessing the influence of morpho-structural setting on landslide abundance I. Marchesini et al. 10.1080/17499518.2015.1058956
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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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...
Geoscientific Model Development
An interactive open-access journal of the European Geosciences Union
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