Articles | Volume 15, issue 4
https://doi.org/10.5194/nhess-15-735-2015
© 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-15-735-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Apr 2015
Research article |
| 07 Apr 2015
A comparative assessment of two different debris flow propagation approaches – blind simulations on a real debris flow event
University of Catania, Department of Civil Engineering and Architecture, Via Santa Sofia 64, 95123, Catania, Italy
E. Foti
University of Catania, Department of Civil Engineering and Architecture, Via Santa Sofia 64, 95123, Catania, Italy
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Cited
26 citations as recorded by crossref.
- Geometrical Characterization of Sediment Deposits at the Confluence of Mountain Streams L. Stancanelli & R. Musumeci 10.3390/w10040401
- Hazard Zonation and Risk Assessment of a Debris Flow under Different Rainfall Condition in Wudu District, Gansu Province, Northwest China S. Zhang et al. 10.3390/w14172680
- An overview of debris-flow mathematical modelling M. Trujillo-Vela et al. 10.1016/j.earscirev.2022.104135
- Pure risk premium rating of debris flows based on a dynamic run-out model: a case study in Anzhou, China Z. Deng et al. 10.1007/s11069-020-04459-x
- Application of Sensitivity Analysis for Process Model Calibration of Natural Hazards C. Chow et al. 10.3390/geosciences8060218
- Debris flow hazard assessment: Laboratory experiences and numerical modelling F. Castelli et al. 10.1051/e3sconf/202341505002
- Dynamic hazard assessment of debris flow based on TRIGRS and flow-R coupled models Y. Nie et al. 10.1007/s00477-021-02093-y
- GIS-based cell model for simulating debris flow runout on a fan C. Gregoretti et al. 10.1016/j.jhydrol.2015.12.054
- Debris-Flow Hazard Assessments: A Practitioner's View M. Jakob 10.2113/EEG-D-20-00110
- Time-resolved triggering and runout analysis of rainfall-induced shallow landslides G. La Porta et al. 10.1007/s11440-023-01996-0
- Risk Assessment of Transport Linear Infrastructures to Debris Flow F. Castelli et al. 10.1051/e3sconf/202341507004
- Temporal evolution of flow-like landslide hazard for a road infrastructure in the municipality of Nocera Inferiore (southern Italy) under the effect of climate change M. Uzielli et al. 10.5194/nhess-18-3019-2018
- Simulations of flow-like landslides invading urban areas: a cellular automata approach with SCIDDICA V. Lupiano et al. 10.1007/s11047-017-9632-3
- 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
- Debris-flow hazard assessment at the archaeological UNESCO world heritage site of Villa Romana del Casale (Sicily, Italy) R. Musumeci et al. 10.1016/j.ijdrr.2021.102509
- Study on two-phase dynamic behaviours within non-homogeneous debris flow A. Shu et al. 10.1680/jwama.16.00072
- Estimating return period of landslide triggering by Monte Carlo simulation D. Peres & A. Cancelliere 10.1016/j.jhydrol.2016.03.036
- Role of the Rheological Parameters in Debris Flow Modelling M. Khan et al. 10.1088/1757-899X/1092/1/012041
- Relevance of erosion processes when modelling in-channel gravel debris flows for efficient hazard assessment C. Gregoretti et al. 10.1016/j.jhydrol.2018.10.001
- 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
- Modelling of a Debris Flow Event in the Enna Area for Hazard Assessment F. Castelli et al. 10.1016/j.proeng.2017.01.026
- Predicting storm-triggered debris flow events: application to the 2009 Ionian Peloritan disaster (Sicily, Italy) M. Cama et al. 10.5194/nhess-15-1785-2015
- Resolved Simulation of a Granular-Fluid Flow with a Coupled SPH-DCDEM Model R. Canelas et al. 10.1061/(ASCE)HY.1943-7900.0001331
- Debris flow-induced topographic changes: effects of recurrent debris flow initiation C. Chen & Q. Wang 10.1007/s10661-017-6169-y
- Evaluation of Unsaturated Soil Properties for a Debris-Flow Simulation F. Castelli et al. 10.3390/geosciences11020064
- Data Mining and Statistical Approaches in Debris-Flow Susceptibility Modelling Using Airborne LiDAR Data U. Lay et al. 10.3390/s19163451
26 citations as recorded by crossref.
- Geometrical Characterization of Sediment Deposits at the Confluence of Mountain Streams L. Stancanelli & R. Musumeci 10.3390/w10040401
- Hazard Zonation and Risk Assessment of a Debris Flow under Different Rainfall Condition in Wudu District, Gansu Province, Northwest China S. Zhang et al. 10.3390/w14172680
- An overview of debris-flow mathematical modelling M. Trujillo-Vela et al. 10.1016/j.earscirev.2022.104135
- Pure risk premium rating of debris flows based on a dynamic run-out model: a case study in Anzhou, China Z. Deng et al. 10.1007/s11069-020-04459-x
- Application of Sensitivity Analysis for Process Model Calibration of Natural Hazards C. Chow et al. 10.3390/geosciences8060218
- Debris flow hazard assessment: Laboratory experiences and numerical modelling F. Castelli et al. 10.1051/e3sconf/202341505002
- Dynamic hazard assessment of debris flow based on TRIGRS and flow-R coupled models Y. Nie et al. 10.1007/s00477-021-02093-y
- GIS-based cell model for simulating debris flow runout on a fan C. Gregoretti et al. 10.1016/j.jhydrol.2015.12.054
- Debris-Flow Hazard Assessments: A Practitioner's View M. Jakob 10.2113/EEG-D-20-00110
- Time-resolved triggering and runout analysis of rainfall-induced shallow landslides G. La Porta et al. 10.1007/s11440-023-01996-0
- Risk Assessment of Transport Linear Infrastructures to Debris Flow F. Castelli et al. 10.1051/e3sconf/202341507004
- Temporal evolution of flow-like landslide hazard for a road infrastructure in the municipality of Nocera Inferiore (southern Italy) under the effect of climate change M. Uzielli et al. 10.5194/nhess-18-3019-2018
- Simulations of flow-like landslides invading urban areas: a cellular automata approach with SCIDDICA V. Lupiano et al. 10.1007/s11047-017-9632-3
- 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
- Debris-flow hazard assessment at the archaeological UNESCO world heritage site of Villa Romana del Casale (Sicily, Italy) R. Musumeci et al. 10.1016/j.ijdrr.2021.102509
- Study on two-phase dynamic behaviours within non-homogeneous debris flow A. Shu et al. 10.1680/jwama.16.00072
- Estimating return period of landslide triggering by Monte Carlo simulation D. Peres & A. Cancelliere 10.1016/j.jhydrol.2016.03.036
- Role of the Rheological Parameters in Debris Flow Modelling M. Khan et al. 10.1088/1757-899X/1092/1/012041
- Relevance of erosion processes when modelling in-channel gravel debris flows for efficient hazard assessment C. Gregoretti et al. 10.1016/j.jhydrol.2018.10.001
- 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
- Modelling of a Debris Flow Event in the Enna Area for Hazard Assessment F. Castelli et al. 10.1016/j.proeng.2017.01.026
- Predicting storm-triggered debris flow events: application to the 2009 Ionian Peloritan disaster (Sicily, Italy) M. Cama et al. 10.5194/nhess-15-1785-2015
- Resolved Simulation of a Granular-Fluid Flow with a Coupled SPH-DCDEM Model R. Canelas et al. 10.1061/(ASCE)HY.1943-7900.0001331
- Debris flow-induced topographic changes: effects of recurrent debris flow initiation C. Chen & Q. Wang 10.1007/s10661-017-6169-y
- Evaluation of Unsaturated Soil Properties for a Debris-Flow Simulation F. Castelli et al. 10.3390/geosciences11020064
- Data Mining and Statistical Approaches in Debris-Flow Susceptibility Modelling Using Airborne LiDAR Data U. Lay et al. 10.3390/s19163451
Saved (final revised paper)
Latest update: 29 Jun 2024
Short summary
The performances of a mono-phase model and of a two-phase model have been evaluated carrying out a blind test. As a benchmark test the event that struck Sicily (2009) was chosen. Prediction accuracies have been evaluated determining statistical indicators and applying the ROC approach. For the simulated event the two-phase model is more accurate than the mono-phase one, though both models show limits when applied in a highly urbanized area, where some constrains cannot be properly reproduced.
The performances of a mono-phase model and of a two-phase model have been evaluated carrying out...
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