Articles | Volume 20, issue 7
https://doi.org/10.5194/nhess-20-1919-2020
© 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-20-1919-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jul 2020
Research article |
| 03 Jul 2020
| 03 Jul 2020
Sensitivity and identifiability of rheological parameters in debris flow modeling
Gerardo Zegers
Advanced Mining Technology Center, Universidad de Chile, Santiago, Chile
Department of Geoscience, University of Calgary, Calgary, Canada
Pablo A. Mendoza
Advanced Mining Technology Center, Universidad de Chile, Santiago, Chile
Department of Civil Engineering, Universidad de Chile, Santiago, Chile
Alex Garces
Advanced Mining Technology Center, Universidad de Chile, Santiago, Chile
Santiago Montserrat
CORRESPONDING AUTHOR
Advanced Mining Technology Center, Universidad de Chile, Santiago, Chile
Viewed
Total article views: 4,989 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 13 Mar 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,141 | 772 | 76 | 4,989 | 65 | 69 |
- HTML: 4,141
- PDF: 772
- XML: 76
- Total: 4,989
- BibTeX: 65
- EndNote: 69
Total article views: 4,432 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 03 Jul 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,824 | 542 | 66 | 4,432 | 51 | 57 |
- HTML: 3,824
- PDF: 542
- XML: 66
- Total: 4,432
- BibTeX: 51
- EndNote: 57
Total article views: 557 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 13 Mar 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 317 | 230 | 10 | 557 | 14 | 12 |
- HTML: 317
- PDF: 230
- XML: 10
- Total: 557
- BibTeX: 14
- EndNote: 12
Viewed (geographical distribution)
Total article views: 4,989 (including HTML, PDF, and XML)
Thereof 4,437 with geography defined
and 552 with unknown origin.
Total article views: 4,432 (including HTML, PDF, and XML)
Thereof 4,033 with geography defined
and 399 with unknown origin.
Total article views: 557 (including HTML, PDF, and XML)
Thereof 404 with geography defined
and 153 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
16 citations as recorded by crossref.
- Investigation of accidents in the infrastructure triggered by debris flows in Russia E. Petrova 10.1007/s11069-022-05518-1
- Triggering factors, behavior, and social impact of the January 2021 hail-debris flows at the Central Valley of Chile J. Romero et al. 10.1007/s10346-021-01830-2
- Numerical Modelling of Debris Flows for Simulation-Based Decision Support: An Indian Perspective M. Abraham et al. 10.1007/s40098-024-00988-5
- Revisiting parameter sensitivities in the variable infiltration capacity model across a hydroclimatic gradient U. Sepúlveda et al. 10.5194/hess-26-3419-2022
- Predicting Debris Flow Runout with SFLOW Model: Case Study of Datong and Taicun Gullies, Lijiang, China Q. Mehmood et al. 10.1007/s10706-024-03020-y
- Comprehensive analysis and numerical simulation of a large debris flow in the Meilong catchment, China H. An et al. 10.1016/j.enggeo.2022.106546
- Rheology of hail-debris flow and implications in flow mobility S. Montserrat et al. 10.1051/e3sconf/202341504011
- Predicting the Dynamic of Debris Flow Based on Viscoplastic Theory and Support Vector Regression X. Zhang et al. 10.3390/w17010120
- Risk assessment of glacial debris flow on alpine highway under climate change: A case study of Aierkuran Gully along Karakoram Highway Y. Li et al. 10.1007/s11629-021-6689-3
- Performance and sensitivity analysis of the Morpho2DH model in extreme events in southern Brazil A. Franck & M. Kobiyama 10.1016/j.jsames.2024.105275
- A modeling methodology to study the tributary-junction alluvial fan connectivity during a debris flow event A. Garcés et al. 10.5194/nhess-22-377-2022
- A multi-variable calibration framework at the grid scale for integrating streamflow with evapotranspiration data to improve the simulation of distributed hydrological model X. Guo et al. 10.1016/j.ejrh.2024.101944
- Monitoring and Early Warning Method of Debris Flow Expansion Behavior Based on Improved Genetic Algorithm and Bayesian Network J. Li et al. 10.3390/w16060908
- Hazard assessment of potential debris flow: A case study of Shaling Gully, Lingshou County, Hebei Province, China Z. Wang et al. 10.3389/feart.2023.1089510
- Evaluating the influence of topography data resolution on lake hydrodynamic model under a simulation uncertainty analysis framework Q. Han et al. 10.1016/j.envsoft.2025.106330
- Probabilistic Analysis of Floods from Tailings Dam Failures: A Method to Analyze the Impact of Rheological Parameters on the HEC-RAS Bingham and Herschel-Bulkley Models M. Melo & J. Eleutério 10.3390/w15162866
16 citations as recorded by crossref.
- Investigation of accidents in the infrastructure triggered by debris flows in Russia E. Petrova 10.1007/s11069-022-05518-1
- Triggering factors, behavior, and social impact of the January 2021 hail-debris flows at the Central Valley of Chile J. Romero et al. 10.1007/s10346-021-01830-2
- Numerical Modelling of Debris Flows for Simulation-Based Decision Support: An Indian Perspective M. Abraham et al. 10.1007/s40098-024-00988-5
- Revisiting parameter sensitivities in the variable infiltration capacity model across a hydroclimatic gradient U. Sepúlveda et al. 10.5194/hess-26-3419-2022
- Predicting Debris Flow Runout with SFLOW Model: Case Study of Datong and Taicun Gullies, Lijiang, China Q. Mehmood et al. 10.1007/s10706-024-03020-y
- Comprehensive analysis and numerical simulation of a large debris flow in the Meilong catchment, China H. An et al. 10.1016/j.enggeo.2022.106546
- Rheology of hail-debris flow and implications in flow mobility S. Montserrat et al. 10.1051/e3sconf/202341504011
- Predicting the Dynamic of Debris Flow Based on Viscoplastic Theory and Support Vector Regression X. Zhang et al. 10.3390/w17010120
- Risk assessment of glacial debris flow on alpine highway under climate change: A case study of Aierkuran Gully along Karakoram Highway Y. Li et al. 10.1007/s11629-021-6689-3
- Performance and sensitivity analysis of the Morpho2DH model in extreme events in southern Brazil A. Franck & M. Kobiyama 10.1016/j.jsames.2024.105275
- A modeling methodology to study the tributary-junction alluvial fan connectivity during a debris flow event A. Garcés et al. 10.5194/nhess-22-377-2022
- A multi-variable calibration framework at the grid scale for integrating streamflow with evapotranspiration data to improve the simulation of distributed hydrological model X. Guo et al. 10.1016/j.ejrh.2024.101944
- Monitoring and Early Warning Method of Debris Flow Expansion Behavior Based on Improved Genetic Algorithm and Bayesian Network J. Li et al. 10.3390/w16060908
- Hazard assessment of potential debris flow: A case study of Shaling Gully, Lingshou County, Hebei Province, China Z. Wang et al. 10.3389/feart.2023.1089510
- Evaluating the influence of topography data resolution on lake hydrodynamic model under a simulation uncertainty analysis framework Q. Han et al. 10.1016/j.envsoft.2025.106330
- Probabilistic Analysis of Floods from Tailings Dam Failures: A Method to Analyze the Impact of Rheological Parameters on the HEC-RAS Bingham and Herschel-Bulkley Models M. Melo & J. Eleutério 10.3390/w15162866
Latest update: 22 Feb 2025
Short summary
We perform a sensitivity analysis on the parameters of a numerical debris flow model and examine the effects of using post-event measurements on two creeks in Chile. Our results demonstrate the utility of sensitivity analysis in debris flow modeling and the benefits of post-event observations on parameter identifiability. This study provides guidance on the choice of uncertain parameters, contributing to more reliable simulations for debris flow risk assessments and land use planning.
We perform a sensitivity analysis on the parameters of a numerical debris flow model and examine...
Altmetrics
Final-revised paper
Preprint