Articles | Volume 22, issue 5
https://doi.org/10.5194/nhess-22-1627-2022
https://doi.org/10.5194/nhess-22-1627-2022
Research article
 | 
17 May 2022
Research article |  | 17 May 2022

Variable hydrograph inputs for a numerical debris-flow runout model

Andrew Mitchell, Sophia Zubrycky, Scott McDougall, Jordan Aaron, Mylène Jacquemart, Johannes Hübl, Roland Kaitna, and Christoph Graf

Related authors

Tailings-flow runout analysis: examining the applicability of a semi-physical area–volume relationship using a novel database
Negar Ghahramani, Andrew Mitchell, Nahyan M. Rana, Scott McDougall, Stephen G. Evans, and W. Andy Take
Nat. Hazards Earth Syst. Sci., 20, 3425–3438, https://doi.org/10.5194/nhess-20-3425-2020,https://doi.org/10.5194/nhess-20-3425-2020, 2020
Short summary

Related subject area

Landslides and Debris Flows Hazards
Analysis of three-dimensional slope stability combined with rainfall and earthquake
Jiao Wang, Zhangxing Wang, Guanhua Sun, and Hongming Luo
Nat. Hazards Earth Syst. Sci., 24, 1741–1756, https://doi.org/10.5194/nhess-24-1741-2024,https://doi.org/10.5194/nhess-24-1741-2024, 2024
Short summary
Assessing landslide damming susceptibility in Central Asia
Carlo Tacconi Stefanelli, William Frodella, Francesco Caleca, Zhanar Raimbekova, Ruslan Umaraliev, and Veronica Tofani
Nat. Hazards Earth Syst. Sci., 24, 1697–1720, https://doi.org/10.5194/nhess-24-1697-2024,https://doi.org/10.5194/nhess-24-1697-2024, 2024
Short summary
Assessing locations susceptible to shallow landslide initiation during prolonged intense rainfall in the Lares, Utuado, and Naranjito municipalities of Puerto Rico
Rex L. Baum, Dianne L. Brien, Mark E. Reid, William H. Schulz, and Matthew J. Tello
Nat. Hazards Earth Syst. Sci., 24, 1579–1605, https://doi.org/10.5194/nhess-24-1579-2024,https://doi.org/10.5194/nhess-24-1579-2024, 2024
Short summary
Evaluation of debris-flow building damage forecasts
Katherine R. Barnhart, Christopher R. Miller, Francis K. Rengers, and Jason W. Kean
Nat. Hazards Earth Syst. Sci., 24, 1459–1483, https://doi.org/10.5194/nhess-24-1459-2024,https://doi.org/10.5194/nhess-24-1459-2024, 2024
Short summary
Characteristics of debris-flow-prone watersheds and debris-flow-triggering rainstorms following the Tadpole Fire, New Mexico, USA
Luke A. McGuire, Francis K. Rengers, Ann M. Youberg, Alexander N. Gorr, Olivia J. Hoch, Rebecca Beers, and Ryan Porter
Nat. Hazards Earth Syst. Sci., 24, 1357–1379, https://doi.org/10.5194/nhess-24-1357-2024,https://doi.org/10.5194/nhess-24-1357-2024, 2024
Short summary

Cited articles

Aaron, J., Stark, T. D., and Baghdady, A. K.: Closure to “Oso, Washington, Landslide of March 22, 2014: Dynamic Analysis” by Jordan Aaron, Oldrich Hungr, Timothy D. Stark, and Ahmed, K. Baghdady, J. Geotech. Geoenviron., 144, 07018023, https://doi.org/10.1061/(ASCE)GT.1943-5606.0001748, 2018. 
Arai, M., Hübl, J., and Kaitna, R.: Occurrence conditions of roll waves for three grain-fluid models and comparison with results from experiments and field observations, Geophys. J. Int., 195, 1464–1480, https://doi.org/10.1093/gji/ggt352, 2013. 
Bennett, G. L., Molnar, P. McArdell, B. W., and Burlando, P.: A probabilistic sediment cascade model of sediment transfer in the Illgraben, Water Resour. Res., 50, 1225–1244, https://doi.org/10.1002/2013WR013806, 2014. 
Berti, M., Bernard, M., Gregoretti, C., and Simoni, A.: Physical interpretation of rainfall thresholds for runoff-generated debris flows, J. Geophys. Res.-Earth, 125, e2019JF005513, https://doi.org/10.1029/2019JF005513, 2020. 
Bovis, M. J. and Jakob, M.: The role of debris supply conditions in predicting debris flow activity, Earth Surf. Proc. Land., 24, 1039–1054, https://doi.org/10.1002/(SICI)1096-9837(199910)24:11<1039::AID-ESP29>3.0.CO;2-U, 1999. 
Download
Short summary
Debris flows are complex, surging movements of sediment and water. Discharge observations from well-studied debris-flow channels were used as inputs for a numerical modelling study of the downstream effects of chaotic inflows. The results show that downstream impacts are sensitive to inflow conditions. Inflow conditions for predictive modelling are highly uncertain, and our method provides a means to estimate the potential variability in future events.
Altmetrics
Final-revised paper
Preprint