Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 24, issue 10
Articles | Volume 24, issue 10
https://doi.org/10.5194/nhess-24-3357-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-3357-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 10
Research article
 | 
01 Oct 2024
Research article |  | 01 Oct 2024

A coupled hydrological and hydrodynamic modeling approach for estimating rainfall thresholds of debris-flow occurrence

Zhen Lei Wei, Yue Quan Shang, Qiu Hua Liang, and Xi Lin Xia

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Cited articles

Abancó, C., Hürlimann, M., Moya, J., and Berenguer, M.: Critical rainfall conditions for the initiation of torrential flows. Results from the Rebaixader catchment (Central Pyrenees), J. Hydrol., 541, 218–229, 2016. 
Arcement, G. J. and Verne, R. S.: Guide for selecting Manning's roughness coefficients for natural channels and flood plains, U.S. GEOLOGICAL SURVEY WATER-SUPPLY PAPER 2339, 4–5, https://doi.org/10.3133/wsp2339, 1989. 
Bardou, E., Ancey, C., Bonnard, C., and Vulliet, L.: Classification of debris-flow deposits for hazard assessment in alpine areas, in: DebrisFlow Hazards Mitigation: Mechanics Prediction and Assessment, edited by: Rickenmann, D. and Chen, C.-L., Millpress, Rotterdam, Davos (Switzerland), 799–808, ISBN 90 77017 78 X, 2003. 
Butts, M. B., Payne, J. T., Kristensen, M., and Madsen, H.: An evaluation of the impact of model structure on hydrological modelling uncertainty for streamflow simulation, J. Hydrol., 298, 242–266, 2004. 
Berti, M. and Simoni, A.: Experimental evidences and numerical modelling of debris flow initiated by channel runoff, Landslides, 2, 171–182, 2005. 
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The initiation of debris flows is significantly influenced by rainfall-induced hydrological processes. We propose a novel framework based on an integrated hydrological and hydrodynamic model and aimed at estimating intensity–duration (ID) rainfall thresholds responsible for triggering debris flows. In comparison to traditional statistical approaches, this physically based framework is particularly suitable for application in ungauged catchments where historical debris flow data are scarce.
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