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Bulletin of Engineering Geology and the Environment

, Volume 78, Issue 8, pp 5775–5794 | Cite as

Predicting debris-flow clusters under extreme rainstorms: a case study on Hong Kong Island

  • S. Y. Zhou
  • L. Gao
  • L. M. ZhangEmail author
Original Paper
  • 206 Downloads

Abstract

Debris flows can cause severe loss of human lives and damage to property, especially on densely populated hilly terrains. In the changing climate, the frequency of debris flows is on a rising trend. Therefore, it is important to forecast possible scenarios of debris flows under extreme weather conditions. Previous numerical studies often deal with one individual debris flow in one analysis. Yet a large number of debris flows can occur in a large storm. This paper presents a physically based model to predict likely debris flow clusters on Hong Kong Island with an area of approximately 80 km2 considering the influence of the changing climate. Firstly, a slope stability analysis is conducted, and unstable cells and landslide deposition areas are predicted. Then clusters of debris flows initiating from these landslides are simulated considering hillslope erosion. The models are validated with historical debris flows triggered by a rainstorm in 2008. Finally, debris flow clusters under three reference extreme rainstorms (i.e. 44%, 65% and 85% of the 24-h probable maximum precipitation, PMP) are predicted. With the increase of rainstorm magnitude, numerous debris flows can occur simultaneously and merge, posing much greater threat to society. The consequences of debris flows grow dramatically when the magnitude reaches a certain extent, i.e. 65% of the 24-h PMP.

Keywords

Debris flows Landslides Hillslope erosion Rainstorms Natural hazards Climate change 

Notes

Acknowledgements

The authors acknowledge the support from the Research Grants Council of the Hong Kong SAR (no. C6012-15G and no. 16206217).

References

  1. AECOM Asia Company Limited, Lin BZ (2014) 24-hour PMP updating study, Agreement No. CE 13/2011 (GE). Geotechnical Engineering Office, Civil Engineering and Development Department, Hong KongGoogle Scholar
  2. Au SWC (1998) Rain-induced slope instability in Hong Kong. Eng Geol 51(1):1–36Google Scholar
  3. Bout B, Lombardo L, van Westen CJ, Jetten VG (2018) Integration of two-phase solid fluid equations in a catchment model for flashfloods, debris flows and shallow slope failures. Environ Model Softw 105:1–16Google Scholar
  4. Brunsden D, Prior DB (1984) Slope instability. Wiley, ChichesterGoogle Scholar
  5. Chang DS, Zhang LM, Xu Y, Huang RQ (2011) Field testing of erodibility of two landslide dams triggered by the 12 may Wenchuan earthquake. Landslides 8(3):321–332Google Scholar
  6. Chang WL, Hui TW (2001) Probable maximum precipitation for Hong Kong. ATC3 Workshop on rain-induced landslides, Hong KongGoogle Scholar
  7. Chen HX, Zhang LM, Chang DS, Zhang S (2012) Mechanisms and runout characteristics of the rainfall-triggered debris flow in Xiaojiagou in Sichuan Province, China. Nat Hazards 62(3):1037–1057Google Scholar
  8. Chen HX, Zhang LM (2014) A physically-based distributed cell model for predicting regional rainfall-induced shallow slope failures. Eng Geol 176:79–92Google Scholar
  9. Chen HX, Zhang LM (2015) EDDA 1.0: integrated simulation of debris flow erosion, deposition and property changes. Geosci Model Dev 8(3):829–844Google Scholar
  10. Chiang SH, Chang KT, Mondini AC, Tsai BW, Chen CY (2012) Simulation of event-based landslides and debris flows at watershed level. Geomorphology 138(1):306–318Google Scholar
  11. Collins BD, Znidarcic D (2004) Stability analyses of rainfall induced landslides. J Geotech Geoenviron Eng 130(4):362–372Google Scholar
  12. Corominas J (1996) The angle of reach as a mobility index for small and large landslides. Can Geotech J 33(2):260–271Google Scholar
  13. Cui P, Zou Q, Xiang LZ, Zeng C (2013) Risk assessment of simultaneous debris flows in mountain townships. Prog Phys Geogr 37(4):516–542Google Scholar
  14. Dai FC, Lee CF, Wang SJ (1999) Analysis of rainstorm-induced slide-debris flows on natural terrain of Lantau Island, Hong Kong. Eng Geol 51(4):279–290Google Scholar
  15. Drainage Service Department (2008) Flooding blackspots. Drainage Services Department, Hong KongGoogle Scholar
  16. Fan RL, Zhang LM, Wang HJ, Fan XM (2018) Evolution of debris flow activities in Gaojiagou ravine during 2008–2016 after the Wenchuan earthquake. Eng Geol 235:1–10Google Scholar
  17. FLO-2D Software Inc (2009) FLO-2D Reference Manual Nutrioso, Arizona, U.S.AGoogle Scholar
  18. Fredlund DG, Morgenstern NR, Widger RA (1978) The shear strength of unsaturated soils. Can Geotech J 15(3):313–321Google Scholar
  19. Fredlund DG, Rahardjo H (1993) Soil mechanics for unsaturated soils. John Wiley & Sons, Inc, New YorkGoogle Scholar
  20. Fyfe JA, Shaw R, Compbess SDG, Lai KW, Kirk PA (2000) The quaternary geology of Hong Kong. Geotechnical Engineering Office, Civil Engineering and Development Department, Hong KongGoogle Scholar
  21. Gao L, Zhang LM, Chen HX (2015) Likely scenarios of natural terrain shallow slope failures on Hong Kong Island under extreme storms. Nat Hazards Rev 18(1):B4015001Google Scholar
  22. Gao L, Zhang LM, Chen HX, Shen P (2016) Simulating debris flow mobility in urban settings. Eng Geol 214:67–78Google Scholar
  23. Gardner WR (1958) Some steady-state solutions of the unsaturated moisture flow equation with application to evaporation from a water table. Soil Sci 85(4):228–232Google Scholar
  24. Geotechnical Control Office (1982) Mid-levels study: report on geology, hydrology and soil properties. Geotechnical Control Office, Hong KongGoogle Scholar
  25. Han XD, Chen JP, Xu PH, Niu CC, Zhan JW (2018) Runout analysis of a potential debris flow in the Dongwopu gully based on a well-balanced numerical model over complex topography. Bull Eng Geol Environ 77(2):679–689Google Scholar
  26. Han Z, Li Y, Huang JL, Chen GQ, Xu LR, Tang C, Zhang H, Shang YH (2017) Numerical simulation for run-out extent of debris flow using an improved cellular automaton model. Bull Eng Geol Environ 76(3):961–974Google Scholar
  27. Hanson GJ, Simon A (2001) Erodibility of cohesive streambeds in the loess area of the midwestern USA. Hydrol Process 15(1):23–38Google Scholar
  28. He SM, Ouyang CJ, Liu W, Wang DP (2016) Coupled model of two-phase debris flow, sediment transport and morphological evolution. Acta Geologica Sinica-English Edition 90(6):2206–2215Google Scholar
  29. Huang Y, Cheng HL, Dai ZL, Xu Q, Liu F, Sawada K, Moriguchi S, Yashima A (2015) SPH-based numerical simulation of catastrophic debris flows after the 2008 Wenchuan earthquake. Bull Eng Geol Environ 74(4):1137–1151Google Scholar
  30. Hungr O (1995) A model for the runout analysis of rapid flow slides, debris flows, and avalanches. Can Geotech J 32:610–623Google Scholar
  31. Hungr O, McDougall S (2009) Two numerical models for landslide dynamic analysis. Comput Geosci 35(5):978–992Google Scholar
  32. Ho KKS (2013) Managing the uncertainties of natural terrain landslides and extreme rainfall in Hong Kong. Landslide science and practice:285–302Google Scholar
  33. Julien PY, Lan Y (1991) Rheology of hyperconcentrations. J Hydraul Eng 117(3):346–353Google Scholar
  34. King JP (2013) Tsing Shan Debris Flow and Debris Flood, GEO Report No. 281. Geotechnical Engineering Office, Civil Engineering and Development Department, Hong KongGoogle Scholar
  35. Ko FWY, Lo FLC (2016) Rainfall-based landslide susceptibility analysis for natural terrain in Hong Kong - a direct stock taking approach. Eng Geol 215:95–107Google Scholar
  36. Lam CLH, Lau JWC, Chan HW (2012) Factual report on Hong Kong rainfall and landslides in 2008, GEO Report No. 273. Geotechnical Engineering Office, Civil Engineering and Development Department, Hong KongGoogle Scholar
  37. Li ACO, Lau JWC, Cheung LLK, Lam CLH (2009) Review of landslides in 2008, GEO Report No. 274. Geotechnical Engineering Office, Civil Engineering and Development Department, Hong KongGoogle Scholar
  38. Li YM, Ma C, Wang YJ (2017) Landslides and debris flows caused by an extreme rainstorm on 21 July 2012 in mountains near Beijing, China. Bull Eng Geol Environ 3:1–16Google Scholar
  39. O’Brien JS, Julien PY (1988) Laboratory analysis of mudflow properties. J Hydraul Eng 114(8):877–887Google Scholar
  40. Ouyang C, He S, Tang C (2015) Numerical analysis of dynamics of debris flow over erodible beds in Wenchuan earthquake-induced area. Eng Geol 194:62–72Google Scholar
  41. Pudasaini SP (2012) A general two-phase debris flow model. J Geophys Res: Earth Surf 117:F03010Google Scholar
  42. Shen P, Zhang LM, Chen HX, Fan RL (2018) EDDA 2.0: integrated simulation of debris flow initiation and dynamics considering two initiation mechanisms. Geosci Model Dev 11(7):2841–2856Google Scholar
  43. Staley DM, Kean JW, Cannon SH, Schmidt KM, Laber JL (2013) Objective definition of rainfall intensity–duration thresholds for the initiation of post-fire debris flows in southern California. Landslides 10(5):547–562Google Scholar
  44. Takahashi T, Nakagawa H, Harada T, Yamashiki Y (1992) Routing debris flows with particle segregation. J Hydraul Eng 118(11):1490–1507Google Scholar
  45. World Meteorological Organization (2009) Manual on estimation of probable maximum precipitation (PMP). WMO-No. 1045, GenevaGoogle Scholar
  46. Zhang LL, Zhang J, Zhang LM, Tang WH (2011) Stability analysis of rainfall-induced slope failures: a review. Geotech Eng Proc Instit Civ Eng 164(5):299–316Google Scholar
  47. Zhang N, Matsushima T, Peng NB (2018) Numerical investigation of post-seismic debris flows in epicentral area of the Wenchuan earthquake. Bull Eng Geol Environ:1–16.  https://doi.org/10.1007/s10064-018-1359-6 Google Scholar
  48. Zhang S, Zhang LM (2017) Impact of the 2008 Wenchuan earthquake in China on subsequent long-term debris flow activities in the epicentral area. Geomorphology 276:86–103Google Scholar
  49. Zhang S, Zhang LM, Glade T (2014) Characteristics of earthquake- and rain-induced landslides near the epicentre of Wenchuan earthquake. Eng Geol 175:58–73Google Scholar
  50. Zhang S, Zhang LM, Chen HX, Yuan Q, Pan H (2013) Changes in runout distances of debris flows over time in the Wenchuan earthquake zone. J Mt Sci 10(2):281–292Google Scholar
  51. Zhu H, Zhang LM, Xiao T, Li XY (2017) Enhancement of slope stability by vegetation considering uncertainties in root distribution. Comput Geotech 85:84–89Google Scholar
  52. Zhu H, Zhang LM (2015) Evaluating suction profile in a vegetated slope considering uncertainty in evapotranspiration. Comput Geotech 63(1):112–120Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Civil and Environmental EngineeringThe Hong Kong University of Science and TechnologyKowloonHong Kong

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