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Journal of Mountain Science

, Volume 8, Issue 4, pp 592–602 | Cite as

Forecast method of multimode system for debris flow risk assessment in Qingping Town, Sichuan Province, China

  • Shujun Tian
  • Jiming KongEmail author
  • Xiuzhen Li
Article

Abstract

The Wenchuan Earthquake of May 12, 2008 triggered large numbers of geo-hazards. The heavy rain on 13 August 2010 triggered debris flows with total volume of more than 6 million cubic meters and the debris flows destroyed 500 houses and infrastructure built after the Wenchuan Earthquake. The study area Qingping Town was located in the northwestern part of the Sichuan Basin of China, which needs the second reconstructions and the critical evaluation of debris flow. This study takes basin as the study unit and defines collapse, landslide and debris flow hazard as a geo-hazard system. A multimode system composed of principal series system and secondary parallel system were established to evaluate the hazard grade of debris flow in 138 drainage basins of Qingping Town. The evaluation result shows that 30.43% of study basins (42 basins) and 24.58% of study area, are in extremely high or high hazard grades, and both percentage of basin quantity and percentage of area in different hazard grades decrease with the increase of hazard grade. According to the geo-hazard data from the interpretation of unmanned plane image with a 0.5-m resolution and field investigation after the Wenchuan Earthquake and 8.13 Big Debris Flow, the ratio of landslides and collapses increased after the Wenchuan Earthquake and the ratios of extremely high or high hazard grades were more than moderate or low hazard grades obviously. 23 geo-hazards after 8.13 Big Debris Flow in Qingping town region all occurred in basins with extremely high or high hazard grades, and 9 debris flows were in basins with extremely high hazard grade. The model of multimode system for critical evaluation could forecast not only the collapse and landslide but also the debris flow precisely when the basin was taken as the study unit.

Keywords

Multimode System Risk assessment Debris flow Landslide Wenchuan Earthquake Qingping Town 

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References

  1. Aldemir T, Miller DW, Stovsky M, et al. (2007) Methodologies for the probabilistic risk assessment of digital reactor protection and control systems. Nuclear Technology 159: 167–191.Google Scholar
  2. Aleotti P, Baldelli P, Polloni G, et al. (1998) Different approaches to landslide hazard assessment, keynote paper. In: Sivakumar M, Chowdhury RN (eds.) Proc. 2nd Int Conf on Environmental Management (ICEM2), 10–13 February 1998, Wollongong, Australia, Vol 1. Elsevier, Oxford. pp. 3–10.Google Scholar
  3. Anbalagan R, Singh B (1996) Landslide hazard and risk assessment mapping of mountainous terrains — a case study from Kumaun Himalaya, India. Engineering Geology 43: 237–246.CrossRefGoogle Scholar
  4. Baeza C, Corominas J (2001) Assessment of shallow landslide susceptibility by means of multivariate statistical techniques. Earth Surface Processes and Landforms 26: 1251–1263.CrossRefGoogle Scholar
  5. Baily RG (1971) Landslide Hazards Related to Land Use Planning in Teton National Forest, Northwest Wyoming USDA Forest Service Intermountain Region, Ogden, UT. pp 131.Google Scholar
  6. Baldelli P, Aleotti P, Polloni G (1996). Landsliding susceptibility numerical map at the Messina Strait crossing site. Senneset K (ed.), Proc. 7th Int Symposium on Landslides, 17–21 June 1996, Trondheim, Vol 1. Balkemia, Rotterdam. pp 153–158.Google Scholar
  7. Bathurst JC, Burton A, Ward TJ (1997) Debris-flow run-out and landslide sediment delivery model tests. ASCE Journal of Hydraulic Engineering 123: 410–419.CrossRefGoogle Scholar
  8. Brabb EE (1984) Innovative approach to landslide hazard and risk mapping, Proc. of the 4th International Symposium on Landslides, Toronto. pp 307–324.Google Scholar
  9. Bughi S, Aleotti P, Bruschi R, et al. (1996) Slow movements of slopes interfering with pipelines: modeling vs. monitoring. Chakrabarti S (ed.) Proc. of the 15th International Conference on Offshore Mechanics and Arctic Engineering, Florence, Italy, June 1996. ASME, Fairfield. pp 1020.Google Scholar
  10. Burroughs ER, Chalfant G, Townsed MA (1976) Slope Stability in Road Construction. Bureau of Land Management, Oregon State Office, Portland, OR. pp 102.Google Scholar
  11. Burton A, Bathurst JC (1998) Physically based modelling of shallow landslide sediment yield at a catchment scale. Environmental Geology 35: 89–99.CrossRefGoogle Scholar
  12. Carrara A (1998) Landslide hazard mapping by statistical method: a black box approach. Workshop on Natural Disasters in European Mediterranean Countries, Perugia, Italy. pp 205–224.Google Scholar
  13. Conner P (2003) Test for reliability. Quality and Reliability Engineering International 19: 73–84.CrossRefGoogle Scholar
  14. Corominas J (1996) The angle of reach as a mobility index for small and large landslides. Canadian Geotechnical Journal 33: 260–271.CrossRefGoogle Scholar
  15. Costa JE (1984) Physical geomorphology of debris flow. Costa JE, Fleischer PJ (eds.) Developments and applications in geomorphology. Springer, Berlin Herdelberg New York. pp 268–317.Google Scholar
  16. Crosta GB, Frattini P (2003) Distributed modelling of shallow landslides triggered by intense rainfall. Natural Hazards and Environmental Systems Science 3: 81–93.CrossRefGoogle Scholar
  17. Cui P, Chen XQ, Zhu YY, et al. (2009a) The Wenchuan Earthquake (May 12, 2008), Sichuan Province, China, and resulting geohazards. Natural Hazards. DOI: 10.1007/s11069-009-9392-1.Google Scholar
  18. Cui P, Liu SJ, Tan WP (2000) Progress of debris flow forecast in China. Journal of Natural Disasters 9(2): 10–15. (In Chinese)Google Scholar
  19. Cui P, Wei FQ, He SM, et al. (2008) Geo-hazards and countermeasures in 5.12 Wenchuan Earthquake area. Bulletin of Chinese Academy of Sciences 23(4): 317–323.Google Scholar
  20. Cui P, Zhu YY, Han YS, et al. (2009b) The 12 May Wenchuan earthquake-induced landslide lakes: distribution and preliminary risk evaluation. Landslides 6: 209–223. DOI: 10.1007/ s10346-009-0160-9.CrossRefGoogle Scholar
  21. Dai FC, Lee CF (2001) Terrain-based mapping of landslide susceptibility using a geographical information system: a case study. Canadian Geotechnical Journal 38: 911–923.CrossRefGoogle Scholar
  22. Di BF, Chen NS, Cui P (2008) GIS-based risk analysis of debris flow: an application in Sichuan, southwest China. International Journal of Sediment Research 23(2): 138–148.CrossRefGoogle Scholar
  23. Evans SG, Hungr O (1993) The assessment of rockfall hazard at the base of talus slopes. Canadian Geotechnical Journal 30: 620–636.CrossRefGoogle Scholar
  24. Glade T (2004). Linking debris-flow hazard assessments with geomorphology. Geomorphology 66: 189–213.CrossRefGoogle Scholar
  25. Gupta P, Anbalagan R (1997) Slope stability of Tehri Dam reservoir area, India, using landslide hazard zoning (LHZ) mapping. Quarterly Journal of Engineering Geology 30: 27–36.CrossRefGoogle Scholar
  26. Guzzetti F, Reichenbach P, Cardinali M, et al. (2005). Probabilistic landslide hazard assessment at the basin scale. Geomorphology 72: 272–299.CrossRefGoogle Scholar
  27. Huang RQ, Li WL (2009) Development and distribution of geohazards triggered by the 5.12 Wenchuan Earthquake in China. Science in China Series E 52: 810–819.CrossRefGoogle Scholar
  28. Huang RQ, Zhao QH (2010) Basic characteristics and preliminary mechanism analysis of large scale rockslide sturzstrom at Wenjiagou triggered by Wenchuan earthquake. Journal of Engineering Geology 18(2): 168–177.Google Scholar
  29. Hungr O (1995) A model for the runout analysis of rapid flow slides, debris flows, and avalanches. Canadian Geotechnical Journal 32: 610–623.CrossRefGoogle Scholar
  30. Irigaray C, Fernàndez T, Hamdouni R, et al. (1999) Verification of landslide susceptibility mapping: a case study. Earth Surface Processes and Landforms 24: 537–544.CrossRefGoogle Scholar
  31. Iverson RM (1997a) Hydraulic modeling of unsteady debris-flow surges with solid-fluid interactions. In: Chen CL (Ed.), Proceedings, First International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction, and Assessment: Hydraulics Division, American Society of Civil Engineers, August 7–9, 1997. San Francisco, CA, USA. ASCE. pp 550–560.Google Scholar
  32. Iverson RM (1997b) The physics of debris flows. Reviews of Geophysics 35: 245–296.CrossRefGoogle Scholar
  33. Lee S, Chwae U, Min K (2002) Landslide susceptibility mapping by correlation between topography and geological structure: the Janghun area, Korea. Geomorphology 46: 149–162.CrossRefGoogle Scholar
  34. Lees BG (1996) Neural networks applications in the geosciences: an introduction. Computers and Geosciences 22: 955–957.CrossRefGoogle Scholar
  35. Leroi E (1996) Landslide hazard-risk maps at different scales: objectives, tools and developments. Senneset R (ed.) Landslides. Balkema, Rotterdam. pp 35–51.Google Scholar
  36. Liaw, WM, Chou, HT, Lin, ML (1999) A case study of debris flow induced by landslide. Journal of Chinese Soil and Water Conservation 30(2): 157–165.Google Scholar
  37. Liu XL, Yue ZQ, Tham LG, et al. (2002) Empirical assessment of debris flows risk on a regional scale in Yunnan Province, Southwestern China. Environment Manage 30(2): 249–264.CrossRefGoogle Scholar
  38. Major JJ, Iverson RM (1999) Debris-flow deposition: effects of pore-fluid pressure and friction concentrated at flow margins. Geological Society of America Bulletin 111: 1424–1434.CrossRefGoogle Scholar
  39. Malamud BD, Turcotte DL, Guzzetti F, et al. (2004) Landslide inventories and their statistical properties. Earth Surface Processes and Landforms 29: 687–711.CrossRefGoogle Scholar
  40. Mej’a-Naverro M, Whol EE, Okas SD (1994) Geological hazards, vulnerability, and risk assessment using GIS: model for Glenwood Springs, Colorado. Geomorphology 10: 331–354.CrossRefGoogle Scholar
  41. Montgomery DR, Dietrich WE (1994) A physically based model for the topographic control on shallow landsliding. Water Resources Research 30: 83–92.Google Scholar
  42. Parsons T, Ji C, Kirby E (2008) Stress changes from the 2008 Wenchuan earthquake and increased hazard in the Sichuan basin. Nature 454(7203): 509–510.CrossRefGoogle Scholar
  43. Reichenbach P, Galli M, Cardinali M, et al. (2005). Geomorphologic mapping to assess landslide risk: concepts, methods and applications in the Umbria Region of central Italy. In: Glade T, Anderson MG and Crozier MJ (eds.), Landslide Risk Assessment John Wiley, Chichester. pp 429–468.Google Scholar
  44. Rickenmann D (1999) Empirical relationships for debris flows. Natural Hazards 19: 47–77.CrossRefGoogle Scholar
  45. Tang LZ, Cheng L (2004) Matrix analysis method for calculating reliability of discrete multiform system. Journal of Air Force Engineering University 5(2): 92–94.Google Scholar
  46. Wu W, Sidle RC (1995) A distributed slope stability model for steep forested basins. Water Resources Research 31: 2097–2110.CrossRefGoogle Scholar
  47. Xu XW, Wen XZ, Ye JQ, et al. (2008) The MS 8.0 Wenchuan earthquake surface ruptures and its seismogenic structure. Seismology and Geology 30(3): 597–629.Google Scholar
  48. Yin YP (2009) Features of landslides triggered by the Wenchuan Earthquake. Journal of Engineering Geology 17(1): 29–38.Google Scholar
  49. Zhang S (1990) Evaluation and updating of slope reliability. PhD Thesis, University of Wollongong, Australia. pp 97–124.Google Scholar
  50. Zhuang JQ, Cui P, Hu KH, et al. (2010) Characteristics of earthquake-triggered landslides and post-earthquake debris flows in Beichuan County. Journal of Mountain Science 7: 246–254.CrossRefGoogle Scholar

Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Key Laboratory of Mountain Hazards and Earth Surface ProcessesChinese Academy of SciencesChengduChina
  2. 2.School of Civil Engineering and ArchitectureSouthwest University of Science and TechnologyMianyangChina
  3. 3.Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengduChina

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