Articles | Volume 20, issue 3
https://doi.org/10.5194/nhess-20-815-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-815-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Probabilistic landslide susceptibility analysis in tropical mountainous terrain using the physically based r.slope.stability model
Johnnatan Palacio Cordoba
CORRESPONDING AUTHOR
Departamento de Ingeniería Civil, Facultad de Minas, Universidad Nacional de Colombia sede Medellín, Medellín, Colombia
Martin Mergili
Geomorphological Systems and Risk Research, Department of Geography
and Regional Research, University of Vienna, Universitätsstraße 7, 1010 Vienna, Austria
Institute of Applied Geology, University of Natural Resources and
Life Sciences (BOKU), Peter-Jordan-Straße 82, 1190 Vienna, Austria
Edier Aristizábal
Departamento de Geociencias y Medio Ambiente, Facultad de Minas,
Universidad Nacional de Colombia sede Medellín, Medellín, Colombia
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- Inclusion of Nature-Based Solution in the Evaluation of Slope Stability in Large Areas L. Zedek et al. 10.3390/land13030372
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25 citations as recorded by crossref.
- Assessing locations susceptible to shallow landslide initiation during prolonged intense rainfall in the Lares, Utuado, and Naranjito municipalities of Puerto Rico R. Baum et al. 10.5194/nhess-24-1579-2024
- Risk assessment of landslide and rockfall hazards in hilly region of southwestern China: a case study of Qijiang, Wuxi and Chishui P. Ye et al. 10.1007/s12665-024-11698-9
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- Integrating principal component analysis with statistically-based models for analysis of causal factors and landslide susceptibility mapping: A comparative study from the loess plateau area in Shanxi (China) Y. Tang et al. 10.1016/j.jclepro.2020.124159
- Physically-based catchment-scale prediction of slope failure volume and geometry B. Van den Bout et al. 10.1016/j.enggeo.2020.105942
- Completeness of landslide inventory and landslide susceptibility mapping using logistic regression method in Ceyhan Watershed (southern Turkey) S. Tekin 10.1007/s12517-021-07583-5
- Exploring available landslide inventories for susceptibility analysis in Gipuzkoa province (Spain) T. Bornaetxea et al. 10.1007/s11069-023-06103-w
- 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
- Landslide Susceptibility Analysis on the Vicinity of Bogotá-Villavicencio Road (Eastern Cordillera of the Colombian Andes) M. Herrera-Coy et al. 10.3390/rs15153870
- Identifying critical combination of roadside slopes susceptible to rainfall-induced failures A. Baral & S. Shahandashti 10.1007/s11069-022-05343-6
- Modeling windthrow effects on water runoff and hillslope stability in a mountain catchment affected by the VAIA storm L. Mauri & P. Tarolli 10.1016/j.scitotenv.2023.164831
- Applicability and performance of deterministic and probabilistic physically based landslide modeling in a data-scarce environment of the Colombian Andes R. Marin et al. 10.1016/j.jsames.2021.103175
- Comparison of different hydrological and stability assumptions for physically-based modeling of shallow landslides M. Durmaz et al. 10.1016/j.enggeo.2023.107237
- Evaluating the interaction between snowmelt runoff and road in the occurrence of hillslope instabilities affecting a landslide-prone mountain basin: A multi-modeling approach L. Mauri et al. 10.1016/j.jhydrol.2022.128200
- Cost estimation for the monitoring instrumentation of landslide early warning systems M. Sapena et al. 10.5194/nhess-23-3913-2023
- National-scale assessment of railways exposure to rapid flow-like landslides I. Marchesini et al. 10.1016/j.enggeo.2024.107474
- Landslide Susceptibility Assessment Using the Scoops3D Model in a Tropical Mountainous Terrain R. Marín & R. Jaramillo-González 10.17230/ingciencia.17.33.4
- Developing a more complete understanding of tropical montane forest disturbance ecology through landslide research C. Freund & M. Silman 10.3389/ffgc.2023.1091387
- Landslide susceptibility mapping using an integration of different statistical models for the 2015 Nepal earthquake in Tibet S. Huang & L. Chen 10.1080/19475705.2024.2396908
- Probabilistic analysis of rainfall-induced shallow landslide susceptibility using a physically based model and the bootstrap method I. Hwang et al. 10.1007/s10346-022-02014-2
- Inclusion of Nature-Based Solution in the Evaluation of Slope Stability in Large Areas L. Zedek et al. 10.3390/land13030372
- Evaluation of road blockage induced by seismic landslides under 2021 MS6.4 Yangbi earthquake Y. Wu et al. 10.1007/s12665-023-11319-x
- Performance assessment of artificial neural network using chi-square and backward elimination feature selection methods for landslide susceptibility analysis B. Pham et al. 10.1007/s12665-021-09998-5
- Slide type landslide susceptibility assessment of the Büyük Menderes watershed using artificial neural network method S. Tekin & T. Çan 10.1007/s11356-022-19248-1
Latest update: 27 Dec 2024
Short summary
Landslides triggered by rainfall are very common phenomena in complex tropical environments such as the Colombian Andes. In this work, we perform probabilistic analyses with r.slope.stability for landslide susceptibility analysis. We test the model in the La Arenosa catchment, northern Colombian Andes. The results are compared to those yielded with the corresponding deterministic analyses and with other physically based models applied in the same catchment.
Landslides triggered by rainfall are very common phenomena in complex tropical environments such...
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