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

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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. 
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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.
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