Articles | Volume 15, issue 9
https://doi.org/10.5194/nhess-15-2091-2015
© 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/nhess-15-2091-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
18 Sep 2015
Research article |
| 18 Sep 2015
Evaluation of shallow landslide-triggering scenarios through a physically based approach: an example of application in the southern Messina area (northeastern Sicily, Italy)
L. Schilirò
Department of Earth Sciences, Sapienza University of Rome, Rome, Italy
C. Esposito
Department of Earth Sciences, Sapienza University of Rome, Rome, Italy
G. Scarascia Mugnozza
Department of Earth Sciences, Sapienza University of Rome, Rome, Italy
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- A combined triggering-propagation modeling approach for the assessment of rainfall induced debris flow susceptibility L. Stancanelli et al. 10.1016/j.jhydrol.2017.04.038
- Estimation of Rainfall-Induced Landslides Using the TRIGRS Model A. Dikshit et al. 10.1007/s41748-019-00125-w
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- Prediction of shallow landslide occurrence: Validation of a physically-based approach through a real case study L. Schilirò et al. 10.1016/j.scitotenv.2016.06.124
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- NUMERICAL MODELING OF UNSATURATED LAYERED SOIL FOR RAINFALL-INDUCED SHALLOW LANDSLIDES C. LIU et al. 10.3846/16486897.2017.1326925
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39 citations as recorded by crossref.
- Physical model tests to determine the mechanism of submarine landslides under the effect of sea waves C. Liu et al. 10.1007/s11069-020-03982-1
- A Geomorphic Examination of the Calabrian Forearc Translation F. Pavano & S. Gallen 10.1029/2020TC006692
- Comparison of hybrid data-driven and physical models for landslide susceptibility mapping at regional scales X. Wei et al. 10.1007/s11440-023-01841-4
- Modeling probabilistic-based reliability assessment of gridded rainfall thresholds for shallow landslide occurrence due to the uncertainty of rainfall in time and space X. Wang et al. 10.2166/hydro.2023.124
- Modeling rainfall-induced landslide using the concept of local factor of safety: Uncertainty propagation and sensitivity analysis R. Abbasov et al. 10.1016/j.compgeo.2024.106102
- Regional-scale modeling of rainfall-induced landslides under random rainfall patterns L. Zhao et al. 10.1016/j.envsoft.2022.105454
- New insights into the delayed initiation of a debris flow in southwest China T. Peng et al. 10.1007/s11069-021-04803-9
- Time-resolved triggering and runout analysis of rainfall-induced shallow landslides G. La Porta et al. 10.1007/s11440-023-01996-0
- A hybrid framework integrating physical model and convolutional neural network for regional landslide susceptibility mapping X. Wei et al. 10.1007/s11069-021-04844-0
- A combined triggering-propagation modeling approach for the assessment of rainfall induced debris flow susceptibility L. Stancanelli et al. 10.1016/j.jhydrol.2017.04.038
- Estimation of Rainfall-Induced Landslides Using the TRIGRS Model A. Dikshit et al. 10.1007/s41748-019-00125-w
- Debris and mud flows runout assessment: a comparison among empirical geometric equations in the Giampilieri and Briga basins (east Sicily, Italy) affected by the event of October 1, 2009 L. Falconi et al. 10.1007/s11069-023-05945-8
- Prediction of shallow landslide occurrence: Validation of a physically-based approach through a real case study L. Schilirò et al. 10.1016/j.scitotenv.2016.06.124
- Influence of uncertain identification of triggering rainfall on the assessment of landslide early warning thresholds D. Peres et al. 10.5194/nhess-18-633-2018
- Landslide susceptibility assessment by TRIGRS in a frequently affected shallow instability area M. Ciurleo et al. 10.1007/s10346-018-1072-3
- Long-term hydrological monitoring of soils in the terraced environment of Cinque Terre (north-western Italy) M. Fiorucci et al. 10.3389/feart.2023.1285669
- Soil moisture information can improve shallow landslide forecasting using the hydrometeorological threshold approach P. Marino et al. 10.1007/s10346-020-01420-8
- Development of a data-driven model for spatial and temporal shallow landslide probability of occurrence at catchment scale M. Bordoni et al. 10.1007/s10346-020-01592-3
- Estimating return period of landslide triggering by Monte Carlo simulation D. Peres & A. Cancelliere 10.1016/j.jhydrol.2016.03.036
- Presence-only approach to assess landslide triggering-thickness susceptibility: a test for the Mili catchment (north-eastern Sicily, Italy) L. Lombardo et al. 10.1007/s11069-016-2443-5
- Landslides and flash floods induced by the storm of 22nd November 2011 in northeastern Sicily F. Fiorillo et al. 10.1007/s12665-018-7788-5
- Insight from a Physical-Based Model for the Triggering Mechanism of Loess Landslides Induced by the 2013 Tianshui Heavy Rainfall Event S. Ma et al. 10.3390/w15030443
- Predictive performance of rainfall thresholds for shallow landslides in Switzerland from gridded daily data E. Leonarduzzi et al. 10.1002/2017WR021044
- Reconstruction of a Storm Map and New Approach in the Definition of Categories of the Extreme Rainfall, Northeastern Sicily F. Fiorillo et al. 10.3390/w8080330
- Analysis of occurrence potential of the earth/debris flow and shallow landslides using the TRIGRS model (Case study: babolrood Basin, Mazandaran) A. Abdinezhad et al. 10.61186/jsaeh.10.2.21
- Rainfall-triggered debris flows: triggering-propagation modelling and application to an event in Southern Italy G. Porta et al. 10.1088/1755-1315/833/1/012106
- Landslide Susceptibility Analysis by Applying TRIGRS to a Reliable Geotechnical Slope Model M. Ciurleo et al. 10.3390/geosciences12010018
- Debris Flow Susceptibility Assessment Using the Integrated Random Forest Based Steady-State Infinite Slope Method: A Case Study in Changbai Mountain, China A. Si et al. 10.3390/w12072057
- Physical and numerical modelling of shallow landslides L. Montrasio et al. 10.1007/s10346-015-0642-x
- Modeling impacts of climate change on return period of landslide triggering D. Peres & A. Cancelliere 10.1016/j.jhydrol.2018.10.036
- Evaluation of pore-pressure variation and slope stability on terraced cultivation using physics-based landslide susceptibility model A. Ajith et al. 10.1016/j.geomorph.2024.109081
- The Effect of Bedrock Topography on Timing and Location of Landslide Initiation Using the Local Factor of Safety Concept S. Moradi et al. 10.3390/w10101290
- Shallow landslide initiation on terraced slopes: inferences from a physically based approach L. Schilirò et al. 10.1080/19475705.2018.1430066
- Exploiting Maximum Entropy method and ASTER data for assessing debris flow and debris slide susceptibility for the Giampilieri catchment (north‐eastern Sicily, Italy) L. Lombardo et al. 10.1002/esp.3998
- Influence of digital elevation models on the simulation of rainfall-induced landslides in the hillslopes of Guwahati, India C. Sarma et al. 10.1016/j.enggeo.2020.105523
- TRIGRS-FOSM: probabilistic slope stability tool for rainfall-induced landslide susceptibility assessment A. Ajith & R. Pillai 10.1007/s11069-024-06933-2
- NUMERICAL MODELING OF UNSATURATED LAYERED SOIL FOR RAINFALL-INDUCED SHALLOW LANDSLIDES C. LIU et al. 10.3846/16486897.2017.1326925
- A quantitative approach for debris flow inception and propagation analysis in the lead up to risk management M. Ciurleo et al. 10.1007/s10346-021-01630-8
- Determination of monitoring systems and installation location to prevent debris flow through web-based database and AHP H. Jun et al. 10.1080/1064119X.2017.1280716
2 citations as recorded by crossref.
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Latest update: 07 Mar 2025
Short summary
The aim of this paper is to provide a useful approach for the evaluation of shallow landslide-triggering scenarios through numerical modeling. Since the numerical models are, in general, exceptionally demanding in terms of parameterization, and the required information often exceeds available data, this approach combines different methods for the definition of the input parameters of the model in such a way that it is applicable to different case studies, on the basis of the data availability.
The aim of this paper is to provide a useful approach for the evaluation of shallow...
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