Articles | Volume 8, issue 12
https://doi.org/10.5194/gmd-8-4027-2015
© Author(s) 2015. 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-8-4027-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
16 Dec 2015
Model description paper |
| 16 Dec 2015
r.randomwalk v1, a multi-functional conceptual tool for mass movement routing
Geomorphological Systems and Risk Research, Department of Geography and Regional Research, University of Vienna, Universitätsstraße 7, 1190 Vienna, Austria
Institute of Applied Geology, University of Natural Resources and Life Sciences (BOKU), Peter-Jordan-Straße 70, 1190 Vienna, Austria
J. Krenn
Institute of Applied Geology, University of Natural Resources and Life Sciences (BOKU), Peter-Jordan-Straße 70, 1190 Vienna, Austria
Department of Geological Sciences, University of Canterbury, Private Bag 4800, Christchurch, New Zealand
H.-J. Chu
Department of Geomatics, National Cheng Kung University, 1 University Road, Tainan 701, Taiwan
Viewed
Total article views: 5,743 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Sep 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,972 | 2,572 | 199 | 5,743 | 188 | 179 |
- HTML: 2,972
- PDF: 2,572
- XML: 199
- Total: 5,743
- BibTeX: 188
- EndNote: 179
Total article views: 4,923 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 16 Dec 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,485 | 2,254 | 184 | 4,923 | 183 | 175 |
- HTML: 2,485
- PDF: 2,254
- XML: 184
- Total: 4,923
- BibTeX: 183
- EndNote: 175
Total article views: 820 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Sep 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 487 | 318 | 15 | 820 | 5 | 4 |
- HTML: 487
- PDF: 318
- XML: 15
- Total: 820
- BibTeX: 5
- EndNote: 4
Cited
28 citations as recorded by crossref.
- Combining release and runout in statistical landslide susceptibility modeling M. Mergili et al. 10.1007/s10346-019-01222-7
- National-scale assessment of railways exposure to rapid flow-like landslides I. Marchesini et al. 10.1016/j.enggeo.2024.107474
- Hydrodynamic and topography based cellular automaton model for simulating debris flow run-out extent and entrainment behavior Z. Han et al. 10.1016/j.watres.2021.116872
- 882 lakes of the Cordillera Blanca: An inventory, classification, evolution and assessment of susceptibility to outburst floods A. Emmer et al. 10.1016/j.catena.2016.07.032
- The Gravitational Process Path (GPP) model (v1.0) – a GIS-based simulation framework for gravitational processes V. Wichmann 10.5194/gmd-10-3309-2017
- GIS tools for preliminary debris-flow assessment at regional scale M. Cavalli et al. 10.1007/s11629-017-4573-y
- Computational experiments on the 1962 and 1970 landslide events at Huascarán (Peru) with r.avaflow: Lessons learned for predictive mass flow simulations M. Mergili et al. 10.1016/j.geomorph.2018.08.032
- Conventional data-driven landslide susceptibility models may only tell us half of the story: Potential underestimation of landslide impact areas depending on the modeling design P. Lima et al. 10.1016/j.geomorph.2023.108638
- MM3: Multimodal framework for regional-scale quantitative landslide risk analysis W. Pollock & J. Wartman 10.1016/j.mex.2025.103218
- Exposure to landslides in rural areas in Central Italy M. Santangelo et al. 10.1080/17445647.2020.1746699
- Robustness evaluation of the probability-based HTCA model for simulating debris-flow run-out extent: Case study of the 2010 Hongchun event, China Y. Ma et al. 10.1016/j.enggeo.2022.106918
- Acquiring vulnerability indicators to geo-hydrological hazards: An example of mobile phone-based data collection P. Salvati et al. 10.1016/j.ijdrr.2021.102087
- Flow-Py v1.0: a customizable, open-source simulation tool to estimate runout and intensity of gravitational mass flows C. D'Amboise et al. 10.5194/gmd-15-2423-2022
- Towards a sediment transfer capacity index of rock glaciers: Examples from two catchments in South Tyrol, (Eastern Italian Alps) C. Kofler et al. 10.1016/j.catena.2022.106329
- Robustness Evaluation of the Probability-Based Htca Model for Simulating Debris Flow Run-Out Extent: A Case Study of the 2010 Hongchun Event in China Y. Ma et al. 10.2139/ssrn.4005765
- Combination of statistical and conceptual approaches for debris-flow susceptibility modelling at a regional scale, British Columbia, Canada T. Bornaetxea et al. 10.1016/j.catena.2025.109044
- 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
- Empirical prediction for travel distance of channelized rock avalanches in the Wenchuan earthquake area W. Zhan et al. 10.5194/nhess-17-833-2017
- Earthquake-Induced Landslide Susceptibility Assessment Using a Novel Model Based on Gradient Boosting Machine Learning and Class Balancing Methods S. Zhang et al. 10.3390/rs14235945
- Modeling Shallow Landslide Runout Distance in Eocene Flysch Facies Using Empirical–Statistical Models (Western Black Sea Region of Türkiye) M. Komu et al. 10.3390/ijgi13030084
- Optimizing and validating the Gravitational Process Path model for regional debris-flow runout modelling J. Goetz et al. 10.5194/nhess-21-2543-2021
- DebrisFlow Predictor: an agent-based runout program for shallow landslides R. Guthrie & A. Befus 10.5194/nhess-21-1029-2021
- Performance and sensitivity analysis of the Morpho2DH model in extreme events in southern Brazil A. Franck & M. Kobiyama 10.1016/j.jsames.2024.105275
- Rock avalanche runout prediction using stochastic analysis of a regional dataset A. Mitchell et al. 10.1007/s10346-019-01331-3
- An empirical model for the travel distance prediction of deflection-type rock avalanches in the wenchuan earthquake area H. Yang et al. 10.3389/feart.2022.944549
- Sustainability Nexus AID: landslides and land subsidence M. Motagh et al. 10.1007/s00550-024-00549-7
- Progress and challenges in glacial lake outburst flood research (2017–2021): a research community perspective A. Emmer et al. 10.5194/nhess-22-3041-2022
- Integrated statistical modelling of spatial landslide probability M. Mergili & H. Chu 10.5194/nhessd-3-5677-2015
27 citations as recorded by crossref.
- Combining release and runout in statistical landslide susceptibility modeling M. Mergili et al. 10.1007/s10346-019-01222-7
- National-scale assessment of railways exposure to rapid flow-like landslides I. Marchesini et al. 10.1016/j.enggeo.2024.107474
- Hydrodynamic and topography based cellular automaton model for simulating debris flow run-out extent and entrainment behavior Z. Han et al. 10.1016/j.watres.2021.116872
- 882 lakes of the Cordillera Blanca: An inventory, classification, evolution and assessment of susceptibility to outburst floods A. Emmer et al. 10.1016/j.catena.2016.07.032
- The Gravitational Process Path (GPP) model (v1.0) – a GIS-based simulation framework for gravitational processes V. Wichmann 10.5194/gmd-10-3309-2017
- GIS tools for preliminary debris-flow assessment at regional scale M. Cavalli et al. 10.1007/s11629-017-4573-y
- Computational experiments on the 1962 and 1970 landslide events at Huascarán (Peru) with r.avaflow: Lessons learned for predictive mass flow simulations M. Mergili et al. 10.1016/j.geomorph.2018.08.032
- Conventional data-driven landslide susceptibility models may only tell us half of the story: Potential underestimation of landslide impact areas depending on the modeling design P. Lima et al. 10.1016/j.geomorph.2023.108638
- MM3: Multimodal framework for regional-scale quantitative landslide risk analysis W. Pollock & J. Wartman 10.1016/j.mex.2025.103218
- Exposure to landslides in rural areas in Central Italy M. Santangelo et al. 10.1080/17445647.2020.1746699
- Robustness evaluation of the probability-based HTCA model for simulating debris-flow run-out extent: Case study of the 2010 Hongchun event, China Y. Ma et al. 10.1016/j.enggeo.2022.106918
- Acquiring vulnerability indicators to geo-hydrological hazards: An example of mobile phone-based data collection P. Salvati et al. 10.1016/j.ijdrr.2021.102087
- Flow-Py v1.0: a customizable, open-source simulation tool to estimate runout and intensity of gravitational mass flows C. D'Amboise et al. 10.5194/gmd-15-2423-2022
- Towards a sediment transfer capacity index of rock glaciers: Examples from two catchments in South Tyrol, (Eastern Italian Alps) C. Kofler et al. 10.1016/j.catena.2022.106329
- Robustness Evaluation of the Probability-Based Htca Model for Simulating Debris Flow Run-Out Extent: A Case Study of the 2010 Hongchun Event in China Y. Ma et al. 10.2139/ssrn.4005765
- Combination of statistical and conceptual approaches for debris-flow susceptibility modelling at a regional scale, British Columbia, Canada T. Bornaetxea et al. 10.1016/j.catena.2025.109044
- 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
- Empirical prediction for travel distance of channelized rock avalanches in the Wenchuan earthquake area W. Zhan et al. 10.5194/nhess-17-833-2017
- Earthquake-Induced Landslide Susceptibility Assessment Using a Novel Model Based on Gradient Boosting Machine Learning and Class Balancing Methods S. Zhang et al. 10.3390/rs14235945
- Modeling Shallow Landslide Runout Distance in Eocene Flysch Facies Using Empirical–Statistical Models (Western Black Sea Region of Türkiye) M. Komu et al. 10.3390/ijgi13030084
- Optimizing and validating the Gravitational Process Path model for regional debris-flow runout modelling J. Goetz et al. 10.5194/nhess-21-2543-2021
- DebrisFlow Predictor: an agent-based runout program for shallow landslides R. Guthrie & A. Befus 10.5194/nhess-21-1029-2021
- Performance and sensitivity analysis of the Morpho2DH model in extreme events in southern Brazil A. Franck & M. Kobiyama 10.1016/j.jsames.2024.105275
- Rock avalanche runout prediction using stochastic analysis of a regional dataset A. Mitchell et al. 10.1007/s10346-019-01331-3
- An empirical model for the travel distance prediction of deflection-type rock avalanches in the wenchuan earthquake area H. Yang et al. 10.3389/feart.2022.944549
- Sustainability Nexus AID: landslides and land subsidence M. Motagh et al. 10.1007/s00550-024-00549-7
- Progress and challenges in glacial lake outburst flood research (2017–2021): a research community perspective A. Emmer et al. 10.5194/nhess-22-3041-2022
1 citations as recorded by crossref.
Saved (final revised paper)
Saved (final revised paper)
Saved (preprint)
Latest update: 31 May 2025
Download
The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.
- Article
(12490 KB) - Full-text XML
Short summary
r.randomwalk is a flexible and multi-functional open-source GIS tool for simulating the propagation of mass movements. Mass points are routed from given release pixels through a digital elevation model until a defined break criterion is reached. In contrast to existing tools, r.randomwalk includes functionalities to account for parameter uncertainties, and it offers built-in functions for validation and visualization. We show the key functionalities of r.randomwalk for three test areas.
r.randomwalk is a flexible and multi-functional open-source GIS tool for simulating the...
