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Natural Hazards

, Volume 70, Issue 1, pp 299–311 | Cite as

An integrated model to assess critical rainfall thresholds for run-out distances of debris flows

  • Th. W. J. van AschEmail author
  • C. Tang
  • D. Alkema
  • J. Zhu
  • W. Zhou
Original Paper

Abstract

A dramatic increase in debris flows occurred in the years after the 2008 Wenchuan earthquake in SW China due to the deposition of loose co-seismic landslide material. This paper proposes a preliminary integrated model, which describes the relationship between rain input and debris flow run-out in order to establish critical rain thresholds for mobilizing enough debris volume to reach the basin outlet. The model integrates in a simple way rainfall, surface runoff, and concentrated erosion of the loose material deposited in channels, propagation, and deposition of flow material. The model could be calibrated on total volumes of debris flow materials deposited at the outlet of the Shuida catchment during two successive rain events which occurred in August 2011. The calibrated model was used to construct critical rainfall intensity-duration graphs defining thresholds for a run-out distance until the outlet of the catchment. Model simulations show that threshold values increase after successive rain events due to a decrease in erodible material. The constructed rainfall intensity-duration threshold graphs for the Shuida catchment based on the current situation appeared to have basically the same exponential value as a threshold graph for debris flow occurrences, constructed for the Wenjia catchment on the basis of 5 observed triggering rain events. This may indicate that the triggering mechanism by intensive run-off erosion in channels in this catchment is the same. The model did not account for a supply of extra loose material by landslips transforming into debris flow or reaching the channels for transportation by run-off. In August 2012, two severe rain events were measured in the Shuida catchment, which did not produce debris flows. This could be confirmed by the threshold diagram constructed by the model.

Keywords

Debris flow Integrated model Triggering mechanism Run out distance Rainfall threshold Intensity duration curves 

Notes

Acknowledgments

The research was supported by Research Foundation of the State Key Laboratory of Geohazard Prevention and Geoenvironment Protection (SKLGP2011Z008) and National Basic Scientific Research Project (2011FY110100). Rainfall data were provided by the Sichuan Bureau of Meteorology. The authors wish to thank Prof. Dr Bin Yu for providing the rain data of August 2012. Finally the authors wish to thank the anonymous reviewers, especially the first one, for their valuable comments, which significantly improved the paper.

References

  1. Beguería S, Van Asch ThWJ, Malet J-P, Gröndahl S (2009) A GIS-based numerical model for simulating the kinematics of mud and debris flows over complex terrain. Nat Hazards Earth Syst Sci 9:1897–1909CrossRefGoogle Scholar
  2. Berti M, Simoni A (2005) Experimental evidences and numerical modelling of debris flow initiated by channel runoff. Landslides 2(3):171–182. doi: 10.1007/s10346-005-0062-4 CrossRefGoogle Scholar
  3. Berti M, Genevois R, Simoni A, Tecca PR (1999) Field observations of a debris flow event in the Dolomites. Geomorphology 29:265–274CrossRefGoogle Scholar
  4. Cascini L, Sorbino G, Cuomo S, Ferlisi S (2013) Seasonal effects of rainfall on the shallow pyroclastic deposits of the Campania region (southern Italy). Landslides. doi: 10.1007/s10346-013-0395-3 Google Scholar
  5. Chen C, Chen T-C, Yu F-C, Yu W-H, Tseng C-C (2005) Rainfall duration and debris-flow initiated studies for real-time monitoring. Environ Geol 47:715–724. doi: 10.1007/s00254-004-1203-0 CrossRefGoogle Scholar
  6. Chen N, Lu Y, Deng M, Han D, Zhou H, Yang C (2013a) Comparative study on debris flow initiation in limestone and sandstone spoil. J Mt Sci 10(2):190–198. doi: 10.1007/s11629-013-2594-8 CrossRefGoogle Scholar
  7. Chen H-X, Zhang L-M, Zhang S, Xiang B, Wang X-F (2013b) Hybrid simulation of the initiation and runout characteristics of a catastrophic debris flow. J Mt Sci 10(2):219–232. doi: 10.1007/s11629-013-2505-z CrossRefGoogle Scholar
  8. Christen M, Kowalski J, Bartelt P (2010) RAMMS: numerical simulation of dense snow avalanches in a three-dimensional terrain. Cold Reg Sci Technol 63:1–14CrossRefGoogle Scholar
  9. Coe J, Cannon S, Santi P (eds) (2008) Debris flows initiated by runoff, erosion, and sediment entrainment in western North America. Geomorphology 96 (3–4):247–378Google Scholar
  10. Coussot P (1997) Mudflow rheology and dynamics. Balkema, RotterdamGoogle Scholar
  11. De Graff JV, Ochiai H (2009) Rainfall, debris flows and wildfires. In: Sassa K, Canuti P (eds) Landslides—disaster risk reduction, vol 24. Springer, Berlin, pp 451–471Google Scholar
  12. De Joode A, van Steijn H (2003) PROMOTOR-df: a GIS-based simulation model for debris flow hazard prediction. In: Rickenmann D, Chen CL (eds) Debris-flow hazards mitigation: mechanics, prediction, and assessment. Proceedings 3rd international DFHM conference, Davos, Switzerland, September 10–12, 2003. Millpress, Rotterdam, pp 1173–1184Google Scholar
  13. De Vita P, Piscopo V (2002) Influences of hydrological and hydrogeological conditions on debris flows in peri-vesuvian hillslopes. Nat Hazards Earth Syst Sci 2:27–35CrossRefGoogle Scholar
  14. Egashira S, Honda N, Itoh T (2001) Experimental study on the entrainment of bed material into debris flow. Phys Chem Earth (C) 26(9):645–650Google Scholar
  15. Eglit M, Demidov KS (2005) Mathematical modelling of snow entrainment in avalanche motion. Cold Region Sci Technol 43:10–23CrossRefGoogle Scholar
  16. Frattini P, Crosta G, Sosio R (2009) Approaches for defining thresholds and return periods for rainfall-triggered shallow landslides. Hydrol Process 23:1444–1460CrossRefGoogle Scholar
  17. Fuchu D, Lee CF, Sijing W (1999) Analysis of rainstorm-induced slide-debris flows on natural terrain of Lantau Island, Hong Kong. Eng Geol 51:279–290CrossRefGoogle Scholar
  18. Gabet EJ, Mudd SM (2006) The mobilization of debris flows from shallow landslides. Geomorphology 74:207–218CrossRefGoogle Scholar
  19. Genevois R, Tecca PR, Berti M, Simoni A (2000) Debris flows in Dolomites: experimental data from a monitoring system. In: Wieczoreck GF (ed) Proceedings second international conference on debris flow hazards mitigation: mechanics, prediction and assessment, Taipei, Agosto, Balkema, pp 283–292Google Scholar
  20. Guzzetti F, Peruccacci S, Rossi M, Stark CP (2008) The rainfall intensity–duration control of shallow landslides and debris flows: an update. Landslides 5:3–17. doi: 10.1007/s10346-007-0112-1 CrossRefGoogle Scholar
  21. Hungr O, Mc Dougall P (2009) Two numerical models for landslide dynamic analyses. Comput Geosci 35:978–992CrossRefGoogle Scholar
  22. Iverson RM, Reid ME, Lahusen RG (1997) Debris flow mobilization from landslides. Ann Rev Earth Planet Sci 25:85–138CrossRefGoogle Scholar
  23. Karssenberg D, Burrough PA, Sluiter R, de Jong K (2001) The PCRaster software and course materials for teaching numerical modelling in the environmental sciences. Trans GIS 5(2):99–110CrossRefGoogle Scholar
  24. Klubertanz G, Laloui L, Vulliet L (2009) Identification of mechanisms for landslide type initiation of debris flows. Eng Geol 109:114–123CrossRefGoogle Scholar
  25. Malet J-P, Laigle D, Remaître A, Maquaire O (2005) Triggering conditions and mobility of debris flows associated to complex earth flows. Geomorphology 66:215–235CrossRefGoogle Scholar
  26. Marchi L, Arattano M, Andrea M, Deganutti AM (2002) Ten years of debris-flow monitoring in the Moscardo Torrent (Italian Alps). Geomorphology 46:1–17CrossRefGoogle Scholar
  27. Mc Dougall P, Hungr O (2005) Dynamic modelling of entrainment in rapid landslides. Can Geotech J 41(12):1084–1097Google Scholar
  28. Medina V, Hürlimann M, Bateman A (2008) Application of FLATModel, a 2D finite volume code, to debris flows in the north-eastern part of the Iberian Peninsula. Landslides 5:127–142CrossRefGoogle Scholar
  29. Meyer-Peter E, Muller R (1948) Formula for bedload transportation. International association for hydrological structures research proceedings, 2nd meeting, Stockholm, pp 39–65Google Scholar
  30. O’ Brien JS, Julien PY, Fullerton WT (1993) Two dimensional water flood and mudflow simulation. J Hydraul Eng 119(2):244–261CrossRefGoogle Scholar
  31. Papa MN, Egashira S, Itoh T (2004) Critical conditions of bed sediment entrainment due to debris flow. Nat Hazard Earth Syst Sci 4:469–474CrossRefGoogle Scholar
  32. Papa MN, Medina V, Ciervo F, Bateman A (2012) Estimation of debris flow critical rainfall thresholds by a physically-based model. Hydrol Earth Syst Sci Discuss 9:12797–12824. doi: 10.5194/hessd-9-12797-2012 CrossRefGoogle Scholar
  33. Pastor M, Hadad B, Sorbino G, Cuomo S, Drempetic V (2009) A depth integrated SPH model for flow-like landslides and related phenomena. Int J Numer Anal Math Geomech 33:143–172CrossRefGoogle Scholar
  34. Quan Luna B (2012) Dynamic numerical run-out modeling for quantitative landslide risk assessment, vol 206. PhD thesis University of Twente, ITC dissertation, 238ppGoogle Scholar
  35. Quan Luna B, Remaître A, Van Asch ThWJ, Malet JP, Westen CJ (2012) Analysis of debris flow behavior with a one dimensional run-out model incorporating entrainment. Eng Geol 128:63–75CrossRefGoogle Scholar
  36. Rickermann D, Weber D, Stepanov B (2003) Erosion by debris flows in fiels and laboratory experiments. In: Rickermann D, Chen CL (eds) Debris flow hazard mitigation: mechanics prediction and assessment. Proceedings 3rd international DFHM conference, Davos, Switzerland September 2003. Rotterdam, Millpress, pp 883–894Google Scholar
  37. Simoni S, Zanotti F, Bertoldi G, Rigon R (2008) Modelling the probability of occurrence of shallow landslides and channelized debris flows using GEOtop-FS†. Hydrol Process 22:532–545CrossRefGoogle Scholar
  38. Staley DM, Kean JW, Cannon SH, Schmidt KM, Laber JL (2012) Objective definition of rainfall intensity–duration thresholds for the initiation of post-fire debris flows in southern California. Landslides. doi: 10.1007/s10346-012-0341-9 Google Scholar
  39. Tang C, Zhu J, Li W (2009) Rainfall-triggered debris flows following the Wenchuan earthquake. Bull Eng Geol Environ 68:187–194CrossRefGoogle Scholar
  40. Tang C, Rengers N, Van Asch ThWJ, Yang YH, Wang GF (2011) Triggering conditions and depositional characteristics of a disastrous debris flow event in Zhouqu city, Gansu Province, northwestern China. Nat Hazards Earth Syst Sci 11:1–10. doi: 10.5194/nhess-11-1-2011 CrossRefGoogle Scholar
  41. Tang C, Van Asch ThWJ, Chang M, Chen GQ, Zhao XH, Huang XC (2012) Catastrophic debris flows on 13 August 2010 in the Qingping area, southwestern China: the combined effects of a strong earthquake and subsequent rainstorms. Geomorphology 139–140:559–576Google Scholar
  42. Van Asch ThWJ, Malet J-P (2009) Flow-type failures in fine-grained soils: an important aspect in landslide hazard analysis. Nat Hazards Earth Syst Sci 9:1703–1711CrossRefGoogle Scholar
  43. Xu Q, Zhang S, Li WL, Van Asch ThWJ (2012) The 13 August 2010 catastrophic debris flows after the 2008 Wenchuan earthquake, China. Nat Hazards Earth Syst Sci 12:201–216. doi: 10.5194/nhess-12-201-2012 CrossRefGoogle Scholar
  44. Yu B (2011) Research on prediction of debris flows triggered in channels. Nat Hazards 58:391–406. doi: 10.1007/s11069-010-9673-8 CrossRefGoogle Scholar
  45. Yu B, Li L, Wu Y, Chu S (2013) A formation model for debris flows in the Chenyulan River Watershed, Taiwan. Nat Hazards. doi: 10.1007/s11069-013-0646-6 Google Scholar
  46. Zhang S, Zhang L, Peng M, Zhang LL, Zhao HF, Chen HX (2012) Assessment of risks of loose landslide deposits formed by the 2008 Wenchuan earthquake. Nat Hazards Earth Syst Sci 12:1381–1392. doi: 10.5194/nhess-12-1381-2012 CrossRefGoogle Scholar
  47. Zhuang J, Cui P, Peng J, Hu K, Iqbal J (2013) Initiation process of debris flows on different slopes due to surface flow and trigger-specific strategies for mitigating post-earthquake in old Beichuan County, China. Environ Earth Sci 68:1391–1403. doi: 10.1007/s12665-012-1837-2 CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Th. W. J. van Asch
    • 1
    • 2
    • 3
    Email author
  • C. Tang
    • 2
  • D. Alkema
    • 2
  • J. Zhu
    • 2
  • W. Zhou
    • 2
  1. 1.Faculty of GeosciencesUtrecht UniversityUtrechtThe Netherlands
  2. 2.State Key Laboratory of Geohazards Prevention and Environment ProtectionUniversity of TechnologyChengduChina
  3. 3.BurenThe Netherlands

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