Articles | Volume 20, issue 11
Hydrol. Earth Syst. Sci., 20, 4585–4603, 2016
https://doi.org/10.5194/hess-20-4585-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 20, 4585–4603, 2016
https://doi.org/10.5194/hess-20-4585-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article 15 Nov 2016
Research article | 15 Nov 2016
Evaluating performance of simplified physically based models for shallow landslide susceptibility
Giuseppe Formetta et al.
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- Machine learning ensemble modelling as a tool to improve landslide susceptibility mapping reliability M. Di Napoli et al. 10.1007/s10346-020-01392-9
- Sensitivity analysis and calibration of a dynamic physically based slope stability model T. Zieher et al. 10.5194/nhess-17-971-2017
- A New Methodology for Mapping Past Rockfall Events: From Mobile Crowdsourcing to Rockfall Simulation Validation B. Žabota & M. Kobal 10.3390/ijgi9090514
- Landslide susceptible areas identification using IDW and Ordinary Kriging interpolation techniques from hard soil depth at middle western Central Java, Indonesia . Yanto et al. 10.1007/s11069-021-04982-5
- Quantifying the three-dimensional effects of anisotropic soil horizons on hillslope hydrology and stability G. Formetta & G. Capparelli 10.1016/j.jhydrol.2018.12.064
- Physical modeling investigation of rainfall infiltration in steep layered volcanoclastic slopes G. Capparelli et al. 10.1016/j.jhydrol.2019.124199
- Dynamic analysis of the multi-staged ice–rock debris avalanche in the Langtang valley triggered by the 2015 Gorkha earthquake, Nepal K. Gnyawali et al. 10.1016/j.enggeo.2019.105440
- Regional Analyses of Rainfall-Induced Landslide Initiation in Upper Gudbrandsdalen (South-Eastern Norway) Using TRIGRS Model L. Schilirò et al. 10.3390/geosciences11010035
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- Relationship between landslide size and rainfall conditions in Taiwan C. Chen et al. 10.1007/s10346-016-0790-7
- How robust are landslide susceptibility estimates? U. Ozturk et al. 10.1007/s10346-020-01485-5
- Application of hydrological modelling for temporal prediction of rainfall-induced shallow landslides N. Bezak et al. 10.1007/s10346-019-01169-9
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- How well can we simulate complex hydro-geomorphic process chains? The 2012 multi-lake outburst flood in the Santa Cruz Valley (Cordillera Blanca, Perú) M. Mergili et al. 10.1002/esp.4318
- 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
- Comparing the performance of TRIGRS and TiVaSS in spatial and temporal prediction of rainfall-induced shallow landslides T. Tran et al. 10.1007/s12665-017-6635-4
24 citations as recorded by crossref.
- Quantifying location error to define uncertainty in volcanic mass flow hazard simulations S. Mead et al. 10.5194/nhess-21-2447-2021
- Bayesian analysis of the impact of rainfall data product on simulated slope failure for North Carolina locations S. Yatheendradas et al. 10.1007/s10596-018-9804-y
- Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology E. Canli et al. 10.5194/nhess-18-2183-2018
- An Automated Python Language-Based Tool for Creating Absence Samples in Groundwater Potential Mapping O. Rahmati et al. 10.3390/rs11111375
- Rockfall Modelling in Forested Areas: The Role of Digital Terrain Model Grid Cell Size B. Žabota et al. 10.3390/app11041461
- Assessment of rainfall-induced landslide susceptibility at the regional scale using a physically based model and fuzzy-based Monte Carlo simulation H. Park et al. 10.1007/s10346-018-01125-z
- Machine learning ensemble modelling as a tool to improve landslide susceptibility mapping reliability M. Di Napoli et al. 10.1007/s10346-020-01392-9
- Sensitivity analysis and calibration of a dynamic physically based slope stability model T. Zieher et al. 10.5194/nhess-17-971-2017
- A New Methodology for Mapping Past Rockfall Events: From Mobile Crowdsourcing to Rockfall Simulation Validation B. Žabota & M. Kobal 10.3390/ijgi9090514
- Landslide susceptible areas identification using IDW and Ordinary Kriging interpolation techniques from hard soil depth at middle western Central Java, Indonesia . Yanto et al. 10.1007/s11069-021-04982-5
- Quantifying the three-dimensional effects of anisotropic soil horizons on hillslope hydrology and stability G. Formetta & G. Capparelli 10.1016/j.jhydrol.2018.12.064
- Physical modeling investigation of rainfall infiltration in steep layered volcanoclastic slopes G. Capparelli et al. 10.1016/j.jhydrol.2019.124199
- Dynamic analysis of the multi-staged ice–rock debris avalanche in the Langtang valley triggered by the 2015 Gorkha earthquake, Nepal K. Gnyawali et al. 10.1016/j.enggeo.2019.105440
- Regional Analyses of Rainfall-Induced Landslide Initiation in Upper Gudbrandsdalen (South-Eastern Norway) Using TRIGRS Model L. Schilirò et al. 10.3390/geosciences11010035
- An Instrumented Flume for Infiltration Process Modeling, Landslide Triggering and Propagation G. Spolverino et al. 10.3390/geosciences9030108
- Shallow Landslide Susceptibility Models Based on Artificial Neural Networks Considering the Factor Selection Method and Various Non-Linear Activation Functions D. Lee et al. 10.3390/rs12071194
- Spatial Modeling of Snow Avalanche Using Machine Learning Models and Geo-Environmental Factors: Comparison of Effectiveness in Two Mountain Regions O. Rahmati et al. 10.3390/rs11242995
- Hydrological control of soil thickness spatial variability on the initiation of rainfall-induced shallow landslides using a three-dimensional model R. Tufano et al. 10.1007/s10346-021-01681-x
- Relationship between landslide size and rainfall conditions in Taiwan C. Chen et al. 10.1007/s10346-016-0790-7
- How robust are landslide susceptibility estimates? U. Ozturk et al. 10.1007/s10346-020-01485-5
- Application of hydrological modelling for temporal prediction of rainfall-induced shallow landslides N. Bezak et al. 10.1007/s10346-019-01169-9
- A hydroclimatological approach to predicting regional landslide probability using Landlab R. Strauch et al. 10.5194/esurf-6-49-2018
- 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
- Back calculation of the 2017 Piz Cengalo–Bondo landslide cascade with r.avaflow: what we can do and what we can learn M. Mergili et al. 10.5194/nhess-20-505-2020
4 citations as recorded by crossref.
- 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
- How well can we simulate complex hydro-geomorphic process chains? The 2012 multi-lake outburst flood in the Santa Cruz Valley (Cordillera Blanca, Perú) M. Mergili et al. 10.1002/esp.4318
- 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
- Comparing the performance of TRIGRS and TiVaSS in spatial and temporal prediction of rainfall-induced shallow landslides T. Tran et al. 10.1007/s12665-017-6635-4
Saved (preprint)
Latest update: 21 Oct 2021
Short summary
This paper focuses on performance evaluation of simplified, physically based landslide susceptibility models. It presents a new methodology to systemically and objectively calibrate, verify, and compare different models and models performances indicators in order to individuate and select the models whose behavior is more reliable for a certain case study. The procedure was implemented in a package for landslide susceptibility analysis and integrated the open-source hydrological model NewAge.
This paper focuses on performance evaluation of simplified, physically based landslide...
