Articles | Volume 22, issue 5
https://doi.org/10.5194/nhess-22-1627-2022
© Author(s) 2022. 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-22-1627-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 May 2022
Research article |
| 17 May 2022
| 17 May 2022
Variable hydrograph inputs for a numerical debris-flow runout model
Andrew Mitchell
CORRESPONDING AUTHOR
Department of Earth, Ocean and Atmospheric Sciences, University of
British Columbia, Vancouver, V6T 1Z4, Canada
BGC Engineering Inc., Vancouver, V6Z 0C8, Canada
Sophia Zubrycky
BGC Engineering Inc., Vancouver, V6Z 0C8, Canada
Scott McDougall
Department of Earth, Ocean and Atmospheric Sciences, University of
British Columbia, Vancouver, V6T 1Z4, Canada
Jordan Aaron
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland
Mylène Jacquemart
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland
Laboratory of Hydraulics, Hydrology and Glaciology (VAW), Department of Civil, Environmental and Geomatic Engineering, ETH Zurich, 8049 Zurich, Switzerland
Johannes Hübl
Institute for Alpine Natural Hazards, University of Natural Resources and Life Sciences, 1190 Vienna, Austria
Roland Kaitna
Institute for Alpine Natural Hazards, University of Natural Resources and Life Sciences, 1190 Vienna, Austria
Christoph Graf
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland
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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.
Chen, H. and Lee, C. F.: Numerical simulation of debris flows, Can. Geotech.
J., 37, 146–160, 2000.
Chen, J.-C. and Chuang, M.-R.: Discharge of landslide-induced debris flows:
case studies of Typhoon Morakot in southern Taiwan, Nat. Hazards Earth Syst. Sci., 14, 1719–1730, https://doi.org/10.5194/nhess-14-1719-2014, 2014.
Christen, M., Kowalski, J., and Bartelt, P.: RAMMS: Numerical simulation of
dense snow avalanches in three-dimensional terrain, Cold Reg. Sci. Technol.,
63, 1–14, https://doi.org/10.1016/j.coldregions.2010.09.006, 2010.
Coviello, V, Theule, J. I., Crema, S., Arattano, M., Comiti, F., Cavalli, M.,
Lucía, A., Macconi, P., and Marchi, L.: Combining instrumental monitoring and high-resolution topography for estimating sediment yield in a debris-flow catchment, Environ. Eng. Geosci., 27, 95–111, https://doi.org/10.2113/EEG-D-20-00025, 2021.
Dash, R. K., Kanungo, D. P., and Malet, J. P.: Runout modelling and hazard
assessment of Tangni debris flow in Garhwal Himalayas, India, Environ. Earth
Sci., 80, 338, https://doi.org/10.1007/s12665-021-09637-z, 2021.
Deubelbeiss, Y. and Graf, C.: Two different starting conditions in numerical
debris-flow models – Case study at Dorfbach, Randa (Valais, Switzerland),
in: Mattertal – ein Tal in Bewegung, Publikation zur Jahrestagung der
Schweizerischen Geomorphologischen Gesellschaft, 29. Juni–1. Juli 2011, St. Niklaus, Eidg. Forschungsanstalt WSL, Birmensdorf, 125–138, https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:11088 (last access: 27 April 2022), 2013.
Dowling, C. A. and Santi, P. M.: Debris flows and their toll on human life: a
global analysis of debris-flow fatalities from 1950 to 2011, Nat. Hazards, 71, 203–227, https://doi.org/10.1007/s11069-013-0907-4, 2014.
Gregoretti, C., Degetto, M., and Boreggio, M.: GIS-based cell model for
simulating debris flow runout on a fan, J. Hydrol., 534, 326–340,
https://doi.org/10.1016/j.jhydrol.2015.12.054, 2016.
Hübl, J.: Ein einfaches Verfahren zur Bestimmung von Murgangabflüssen (A simple method to estimate debris-flow hydrographs), Wildbach- und Lawinenverbau, 188, 130–147, 2021.
Hübl, J. and Kaitna, R.: Monitoring debris-flow surges and triggering
rainfall at the Lattenbach Creek, Austria, Environ. Eng. Geosci., 27, 1–8,
https://doi.org/10.2113/EEG-D-20-00010, 2021.
Hungr, O.: Analysis of debris flow surges using the theory of uniformly
progressive flow, Earth Surf. Proc. Land., 25, 483–495,
https://doi.org/10.1002/(SICI)1096-9837(200005)25:5<483::AID-ESP76>3.3.CO;2-Q, 2000.
Hungr, O. and McDougall, S.: Two numerical models for landslide dynamic analysis, Comput. Geosci., 35, 978–992, https://doi.org/10.1016/j.cageo.2007.12.003,
2009.
Hungr, O., Leroueil, S., and Picarelli, L.: The Varnes classification of
landslide types, an update, Landslides, 11, 167–194, https://doi.org/10.1007/s10346-013-0436-y, 2014.
Hürlimann, M., Coviello, V., Bel, C., Guo, X., Berti, M., Graf, C., Hübl, J., Miyata, S., Smith, J. B., and Yin, H.-S.: Debris-flow monitoring and warning: Review and examples, Earth-Sci. Rev., 199, 102981,
https://doi.org/10.1016/j.earscirev.2019.102981, 2019.
Ikeda, A., Mizuyama, T., and Itoh, T.: Study of prediction methods of debris-flow peak discharge, in: 7th International Conference on Debris-Flow Hazards Mitigation, 10–13 June 2019, Golden, USA, 709–715,
https://doi.org/10.25676/11124/173051, 2019.
Iverson, R. M.: The physics of debris flows, Rev. Geophys., 35, 245–296,
https://doi.org/10.1029/97RG00426, 1997.
Iverson, R. M. and George, D. L.: A depth-averaged debris-flow model that
includes the effects of evolving dilatancy. I. Physical basis, P. Roy. Soc. A, 470, 20130819, https://doi.org/10.1098/rspa.2013.0819, 2014.
Iverson, R. M. and Ouyang, C.: Entrainment of bed material by Earth-surface
mass flows: Review and reformulation of depth-integrated theory, Rev. Geophys., 53, 27–58, https://doi.org/10.1002/2013RG000447, 2015.
Iverson, R. M. and George, D. L.: Valid debris-flow models must avoid hot
starts, in: 7th International Conference on Debris-Flow Hazards Mitigation, 10–13 June 2019, Golden, USA, 25–32, https://doi.org/10.25676/11124/173051, 2019.
Jacquemart, M., Tobler, D., Graf, C., and Meier, L.: Advanced debris-flow
monitoring and alarm system at Spreitgraben, in Engineering Geology for
Society and Territory – Volume 3, edited by: Lollino, G., Arattano, M.,
Rinaldi, M., Giustilisi, O., Marechal, J. C., and Grant, G., Springer, https://doi.org/10.1007/978-3-319-09054-2_12, 2015.
Jacquemart, M., Meier, L., Graf, C., and Morsdorf, F.: 3D dynamics of debris
flows quantified at sub-second intervals from laser profiles, Nat. Hazards,
89, 785–800, https://doi.org/10.1007/s11069-017-2993-1, 2017.
Jakob, M., Stein, D., and Ulmi, M.: Vulnerability of buildings to debris flow impact, Nat. Hazards, 60, 241–261, https://doi.org/10.1007/s11069-011-0007-2, 2012.
Kean, J. W., McCoy, S. W., Tucker, G. E., Staley, D. M., and Coe, J. A.:
Runoff-generated debris flows: Observations and modeling of surge initiation, magnitude, and frequency, J. Geophys. Res.-Earth, 118, 2190–2207, https://doi.org/10.1002/jgrf.20148, 2013.
Lau, C.-A.: Channel scour on temperate alluvial fans in British Columbia,
MS thesis, Simon Fraser University, https://summit.sfu.ca/item/17564 (last access: 27 April 2022), 2017.
Leonardi, A., Wittel, F. K., Mendoza, M., and Herrmann, H. J.: Coupled DEM-LBM method for the free-surface simulation of heterogeneous suspensions, Comp. Part. Mech., 1, 3–13, https://doi.org/10.1007/s40571-014-0001-z, 2014.
Marchi, L., Cazorzi, F., Arattano, M., Cucchiaro, S., Cavalli, M., and Crema, S.: Debris flows recorded in the Moscardo catchment (Italian Alps) between 1990 and 2019, Nat. Hazards Earth Syst. Sci., 21, 87–97, https://doi.org/10.5194/nhess-21-87-2021, 2021.
McDougall, S.: Landslide runout analysis – current practice and challenges,
Can. Geotech. J., 54, 605–620, https://doi.org/10.1139/cgj-2016-0104, 2017.
McDougall, S. and Hungr, O.: A model for the analysis of rapid landslide
motion across three-dimensional terrain, Can. Geotech. J., 41, 1084–1097,
https://doi.org/10.1139/t04-052, 2004.
Mergili, M., Fisher, J.-T., Krenn, J., and Pudasaini, S. P.: r.avaflow v1, an
adavanced open-source computational framework for the propagation and
interaction of two-phase mass flows, Geosci. Model Dev., 10, 553–569,
https://doi.org/10.5194/gmd-10-553-2017, 2017.
Mitchell, A., Jacquemart, M., Hübl, J., Kaitna, R., and Graf, C.: Debris flow discharge hydrographs from Dorfbach & Spreitgraben, Switzerland, and Lattenbach, Austria, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.943970, 2022.
Mizuyama, T., Kobashi, S., and Ou, G.: Prediction of debris flow peak
discharge, Intrapraevent, Bern, Switzerland, http://www.interpraevent.at/palm-cms/upload_files/Publikationen/Tagungsbeitraege/1992_4_99.pdf (last access: 27 April 2022), 1992.
Pastor, M., Soga, K., McDougall, S., and Kwan, J. S. H.: Review of benchmarking exercise on landslide runout analysis 2018, in: Proceedings of the Second JTC1 Workshop, Triggering and Propagation of Rapid Flow-like Landslides, 3–5 December 2018, Hong Kong, https://hkges.org/en-Us/knowledge-management (last access: 27 April 2022), 2018.
Planet Inc.: Planet application program interface, in: Space for life on earth, Planet Labs, San Francisco, CA, https://www.planet.com/ (last access: 27 April 2022), 2021.
Pudasaini, S. P. and Mergili, M.: A multi-phase mass flow model, J. Geophys.
Res.-Earth, 124, 2920–2942, https://doi.org/10.1029/2019JF005204, 2019.
Rickenmann, D.: Empirical relationships for debris flows, Nat. Hazards, 19,
47–77, https://doi.org/10.1023/A:1008064220727, 1999.
Schraml, K., Thomschitz, B., McArdell, B. W., Graf, C., and Kaitna, R.: Modeling debris-flow runout patterns on two alpine fans with different
dynamic simulation models, Nat. Hazard Earth Sys., 15, 1483–1492, https://doi.org/10.5194/nhess-15-1483-2015, 2015.
Zhou, G. D., Hu, H. S., Song, D., Zhao, T., and Chen, X. Q.: Experimental study on the regulation function of slit dam against debris flows, Landslides, 16, 75–90, https://doi.org/10.1007/s10346-018-1065-2, 2019.
Zubrycky, S., Mitchell, A., Aaron, J., and McDougall, S.: Preliminary calibration of a numerical runout model for debris flows in southwestern
British Columbia, in: 7th International Conference on Debris-Flow
Hazards Mitigation, 10–13 June 2019, Golden, USA, 911–918,
https://doi.org/10.25676/11124/173051, 2019.
Zubrycky, S. Mitchell, A., McDougall, S., Strouth, A., Clague, J. J., and
Menounos, B.: Exploring new methods to analyze spatial impact distributions
on debris-flow fans using data from southwestern British Columbia, Earth
Surf. Proc. Land., 46, 2395–2413, https://doi.org/10.1002/esp.5184, 2021a.
Zubrycky, S., Mitchell, A., and McDougall, S.: Geomorphic mapping and UAV
lidar of debris flow fans in southwestern British Columbia, Canada, PANGAEA
[data set], https://doi.org/10.1594/PANGAEA.932864, 2021b.
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.
Debris flows are complex, surging movements of sediment and water. Discharge observations from...
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