Skip to main content
Log in

A prediction model for rock planar slides with large displacement triggered by heavy rainfall in the Red bed area, Southwest, China

  • Technical Note
  • Published:
Landslides Aims and scope Submit manuscript

Abstract

Landslides with large displacements are more dangerous than landslides with small displacements, because the first category causes more serious damages. In this paper, a new prediction method is introduced for rock planar slides with large displacements. The prediction model is not limited to a certain region but limited to a certain failure mechanism of a landslide. This case study was carried out in the red bed area, Nanjiang County, Sichuan Province, China, and validated in the red bed area of Yunyang and Fengjie Counties, Chongqing, China. The topographic factor T was proposed as a topographical indicator. The influence of the normalized rainfall R which is a combination of the duration of rainfall (D) and the average intensity (I) of rainfall was analyzed. A threshold value for rock planar sliding with large displacement was obtained by establishing a relationship between the T factor and the R factor. The primary probability factor P gives a final indication of the probability of rock planar sliding with large displacement. The prediction model is applied to the existing rock planar slides or the slopes with the presence of a number of preconditions for sliding. The prediction model obtained from Nanjiang County was validated successfully in the red bed area of the Yunyang and Fengjie Counties. It is assumed that the prediction model is suitable for other regions with a red bed structure as well.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

References

  • Alean J (1985) Ice avalanches: some empirical information about their formation and reach. J Glaciol 31(109):324–333

    Article  Google Scholar 

  • Aleotti P (2004) A warning system for rainfall-induced shallow failures. Eng Geol 73:247–265

    Article  Google Scholar 

  • Caine N (1980) The rainfall intensity-duration control of shallow landslides and debris flows. Geogr Ann 62A(1/2):23–27

    Article  Google Scholar 

  • Dunne T (1978) Field studies of hillslope flow processes. In: Kirkby MJ (ed) Hillslope hydrology. Wiley, Chichester, pp 227–293

    Google Scholar 

  • Ering P, Babu GLS (2016) Probabilistic back analysis of rainfall induced landslide-a case study of Malin landslide, India. Eng Geol 208:154–164

    Article  Google Scholar 

  • Fan XM, Xu Q, Zhang ZY, Dong SM, Tang R (2009) The genetic mechanism of a translational landslide. Bull Eng Geol Environ 68(2):231–244

    Article  Google Scholar 

  • Floris M, Bozzano F (2008) Evaluation of landslide reactivation: a modified rainfall threshold model based on historical records of rainfall and landslides. Geomorphology 94:40–57

    Article  Google Scholar 

  • Huang SB, Cheng Q, Hu HT (2005) A study on distribution of Sichuan red beds and engineering environment characteristics. Highway 5:81–85 (in Chinese with English abstract)

    Google Scholar 

  • Jakob M, Weatherly H (2003) A hydroclimatic threshold for landslide initiation on the North Shore Mountains of Vancouver, British Columbia. Geomorphology 54:137–156

    Article  Google Scholar 

  • Kanungo DP, Sharma S (2014) Rainfall thresholds for prediction of shallow landslides around Chamoli-Joshimath region, Garhwal Himalayas, India. Landslides 11:629–638

    Article  Google Scholar 

  • Li J (2015) Study on formation mechanism and warning of the gently inclined landslides in red stratum region of Nanjiang county in Sichuan Province. Dissertation, Chengdu University of Technology (in Chinese with English abstract)

  • Ling C, Xu Q, Zhang Q, Ran J, Lv H (2016) Application of electrical resistivity tomography for investigating the internal structure of a translational landslide and characterizing its groundwater circulation (Kualiangzi landslide, Southwest China). J Appl Geophys 131:154–162

    Article  Google Scholar 

  • Marjanovic M, Kraublatter M, Abolmasov B, Duric U, Sandic C, Nikolic V (2018) The rainfall-induced landsliding in Western Serbia: a temporal prediction approach using decision tree technique. Eng Geol 232:147–159

    Article  Google Scholar 

  • Montgomery DR, Dietrich WE (1994) A physically based model for the topographic control on shallow landsliding. Water Resour Res 30:1153–1171

    Article  Google Scholar 

  • O’Loughlin EM (1986) Prediction of surface saturation zones in natural catchments by topographic analysis. Water Resour Res 22:794–804

    Article  Google Scholar 

  • Van Asch TH, Buma WJ, Van Beek J (1999) A view on some hydrological triggering systems in landslides. Geomorphology 30:25–32

    Article  Google Scholar 

  • Vasu NN, Lee SR, Pradhan AMS, Kim YT, Kang SH, Lee DH (2016) A new approach to temporal modelling for landslide hazard assessment using an extreme rainfall induced-landslide index. Eng Geol 215:36–49

    Article  Google Scholar 

  • Wang S (1999) Hazard of debris flow on slope and its control. Chin J Geol Hazard Contr 10(3):45–48

    Google Scholar 

  • Wu L, Zhang LM, Zhou Y, Xu Q, Yu B, Liu GG, Bai LY (2018) Theoretical analysis and model test for rainfall induced shallow landslides in the red bed area of Sichuan. Bull Eng Geol Environ 77:1343–1353

    Article  Google Scholar 

  • Xu Q, Huang RQ, Liu TX, Fan XM, Ge H, Song XB (2006) Study on the formation mechanism and design of control engineering for the super-huge Tiantai landslide, Sichuan province, China. Proceedings of the 10th International Congress of the International Association of Engineering Geology for Tomorrow’s Cities, Nottingham, United Kingdom, pp 3–602

  • Xu Q, Fan XM, Li Y (2010) Formation condition, genetic mechanism and treatment measures of plate-shaped landslide. Chin J Rock Mech Eng 29(2):242–250

    Google Scholar 

  • Xu Q, Liu H, Ran J, Li W, Sun X (2016) Field monitoring of groundwater responses to heavy rainfalls and the early warning of the Kualiangzi landslide in Sichuan Basin, Southwest China. Landslides 13:1555–1570

    Article  Google Scholar 

  • Yu B, Zhu Y, Liu Y (2017) Topographical factor-based shallow landslide hazard assessment: a case of Dayi area of Guizhou Province in China. Geoenviron Disas 4(24):1–17

    Google Scholar 

  • Zhang ZY, Wang ST, Wang LS (1994) The analytical principle in engineering geology. Beijing Geological Publishing House, Beijing, China

    Google Scholar 

  • Zheng G, Xu Q, Peng S (2019) Calculation model of the long-runout distance of rock avalanche. Rock Soil Mech 40(12):4897–4906

    Google Scholar 

Download references

Acknowledgments

We are grateful to Dr. Theo van Asch for having provided a very helpful review of the manuscript and for the help on the English editing of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (NSFC, contract number: 41672341), the Funds for Creative Research Groups of China (Grant No. 41521002), and the State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Independent Research Project (contract number: SKLGP2017Z002).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bin Yu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yu, B., Ma, E., Cai, J. et al. A prediction model for rock planar slides with large displacement triggered by heavy rainfall in the Red bed area, Southwest, China. Landslides 18, 773–783 (2021). https://doi.org/10.1007/s10346-020-01528-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10346-020-01528-x

Keywords

Navigation