Skip to main content

Advertisement

Log in

Rainfall-induced landslides assessment in the Fengjie County, Three-Gorge reservoir area, China

  • Original Paper
  • Published:
Natural Hazards Aims and scope Submit manuscript

Abstract

It is critical to accurately assess the location and evolution of impending landslide hazards, especially when influenced by the effects of climate change. However, most existing landslide models only analyze the stability of individual grid cells without considering soil interaction between adjacent cells. This means that the stability of individual grid cells is not necessarily representative of actual slope stability at a given location, in turn affecting the accuracy of landslide stability assessments. In this paper, slope units are defined using the morphological image analysis and homogeneous slope unit method to represent the actual slope conditions and to extract the profile of each slope unit. The critical slip surface of the soil mass is investigated to account for the interaction between adjacent grid cells within the slope unit. A probabilistic analytical landslide model is established and the response mechanism of the hydrological processes is proposed. This model is applied to landslide hazard assessment in the Three-Gorges Reservoir Area, Fengjie County, China. Using historical rainfall data, the distribution of landslide hazards is analyzed for different antecedent precipitation levels and rainfall return periods. The results show that the amount of antecedent precipitation, and rainfall return period, have different effects on landslide triggering in the area. Importantly, the model reveals that extreme rainfall events induced by climate change will lead to a large number of new landslides in areas where they are not anticipated. Further investigation and monitoring (e.g., early-warning systems, long-term assessment) of rainfall-induced landslides in the Three-Gorges Reservoir Area is recommended.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19

Similar content being viewed by others

References

  • Alvioli M, Marchesini I, Reichenbach P, Rossi M, Ardizzone F, Fiorucci F, Guzzetti F (2016) Automatic delineation of geomorphological slope units with r slopeunits v1. 0 and their optimization for landslide susceptibility modeling. Geosci Model Develop 9(11):3975

    Article  Google Scholar 

  • Apip Takara K, Yamashiki Y, Sassa K, Ibrahim AB, Fukuoka H (2010) A distributed hydrological-geotechnical model using satellite-derived rainfall estimates for shallow landslide prediction system at a catchment scale. Landslides 7(3):237–258

    Article  Google Scholar 

  • Carrara A, Guzzetti F (1995) Geographical information systems in assessing natural hazards. Adv Nat Technol Hazards 4(4):45–59

    Google Scholar 

  • Casadei M, Dietrich WE, Miller N (2003) Controls on shallow landslide isze. In: Debris-flow hazards mitigation: mechanics, prediction, and assessment, pp 91–101

  • Chen H, Lee C, Law K (2004) Causative mechanisms of rainfall-induced fill slope failures. J Geotech Geoenviron Eng 130(6):593–602

    Article  Google Scholar 

  • Chen CW, Tung YS, Liou JJ, Li HC, Cheng CT, Chen YM, Oguchi T (2019) Assessing landslide characteristics in a changing climate in northern Taiwan. Catena 175:263–277

    Article  Google Scholar 

  • Cronin VS (1992) Compound landslides: nature and hazard potential of secondary landslides within host landslides. GSA Rev Eng Geol. https://doi.org/10.1130/REG9-p1

    Article  Google Scholar 

  • Crozier MJ (2010) Deciphering the effect of climate change on landslide activity: a review. Geomorphology 124(3–4):260–267

    Article  Google Scholar 

  • Dai Y, Shangguan W, Duan Q, Liu B, Niu G (2013) Development of a china dataset of soil hydraulic parameters using pedotransfer functions for land surface modeling. J Hydrometeorol. https://doi.org/10.1175/JHM-D-12-0149.1(3)

    Article  Google Scholar 

  • Greco VR (1996) Efficient Monte Carlo technique for locating critical slip surface. J Geotech Eng 122(7):517–525

    Article  Google Scholar 

  • Gu T, Wang J, Fu X, Liu Y (2015) GIS and limit equilibrium in the assessment of regional slope stability and mapping of landslide susceptibility. Bull Eng Geol Env 74(4):1105–1115

    Article  Google Scholar 

  • Hong MH, Kim JH, Jung GJ, Jeong SS (2016) Rainfall threshold (ID curve) for landslide initiation and prediction considering antecedent rainfall. J Kor Geotech Soc 32(4):15–27

    Article  Google Scholar 

  • Huff FA (1967) Time distributions of heavy rainstorms in Illinois. Water Resour Res 3(4):1007–1019

    Article  Google Scholar 

  • Ibsen ML, Casagli N (2004) Rainfall patterns and related landslide incidence in the Porretta-Vergato region Italy. Landslides 1(2):143–150

    Article  Google Scholar 

  • Iida T (2004) Theoretical research on the relationship between return period of rainfall and shallow landslides. Hydrol Process 18(4):739–756

    Article  Google Scholar 

  • Jia N, Mitani Y, Xie M, Djamaluddin I (2012) Shallow landslide hazard assessment using a three-dimensional deterministic model in a mountainous area. Comput Geotech 45:1–10

    Article  Google Scholar 

  • Jia N, Mitani Y, Xie M, Tong J, Yang Z (2015) GIS deterministic model-based 3D large-scale artificial slope stability analysis along a highway using a new slope unit division method. Nat Hazards 76(2):873–890

    Article  Google Scholar 

  • Keifer CJ, Chu HH (1957) Synthetic storm pattern for drainage design. J Hydraul Div 83:1–25

    Google Scholar 

  • Kristo C, Rahardjo H, Satyanaga A (2017) Effect of variations in rainfall intensity on slope stability in Singapore. Int Soil Water Conserv Res 5(4):258–264

    Article  Google Scholar 

  • Lee JH, Park HJ (2016) Assessment of shallow landslide susceptibility using the transient infiltration flow model and GIS-based probabilistic approach. Landslides 13(5):885–903

    Article  Google Scholar 

  • Lei GJ, Yin JX, Wang WC, Wang H (2018) The analysis and improvement of the fuzzy weighted optimum curve-fitting method of pearson-type iii distribution. Water Resour Manage 32(14):4511–4526

    Article  Google Scholar 

  • Lorenz DJ, Deweaver ET (2007) The response of the extratropical hydrological cycle to global warming. J Clim 20(14):3470–3484

    Article  Google Scholar 

  • Melchiorre C, Frattini P (2012) Modelling probability of rainfall-induced shallow landslides in a changing climate, Otta. Central Norway Clim Change 113(2):413–436

    Article  Google Scholar 

  • Mariotti A, Struglia MV, Zeng N, Lau K (2002) The hydrological cycle in the mediterranean region and implications for the water budget of the mediterranean sea. Journal of Climate 15(13):1674–1690

    Article  Google Scholar 

  • Meisina C, Scarabelli S (2007) A comparative analysis of terrain stability models for predicting shallow landslides in colluvial soils. Geomorphology 87(3):207–223

    Article  Google Scholar 

  • Ma T, Li C, Lu Z (2014) An effective antecedent precipitation model derived from the power-law relationship between landslide occurrence and rainfall level. Geomorphology 216:187–192

    Article  Google Scholar 

  • Ma J, Song L, Zhang X et al (2016) The comparison of two different sampling schemes on design storm pattern by the pilgrim & cordery. Torrential Rain Disasters 35(3):220–226 (in Chinese)

    Google Scholar 

  • Ni Z, Li Q, Du F, Haitao JIANG (2019) Study on design of rainstorm pattern based on short duration in nanjing city. J Water Resour Water Eng 30(2):57–62 (in Chinese)

    Google Scholar 

  • Napolitano E, Fusco F, Baum RL, Godt JW, De V, P. (2016) Effect of antecedent-hydrological conditions on rainfall triggering of debris flows in ash-fall pyroclastic mantled slopes of Campania (southern Italy). Landslides 13(5):967–983

    Article  Google Scholar 

  • Park HJ, Lee JH, Woo I (2013) Assessment of rainfall-induced shallow landslide susceptibility using a GIS-based probabilistic approach. Eng Geol 161(14):1–15

    Article  Google Scholar 

  • Pagano L, Picarelli L, Rianna G, Urciuoli G (2010) A simple numerical procedure for timely prediction of precipitation-induced landslides in unsaturated pyroclastic soils. Landslides 7(3):273–289

    Article  Google Scholar 

  • Peres DJ, Cancelliere A (2016) Estimating return period of landslide triggering by monte carlo simulation. J Hydrol 541:256–271

    Article  Google Scholar 

  • Peng J, Fan Z, Wu D, Zhuang J, Dai F, Chen W, Zhao C (2015) Heavy rainfall triggered loess–mudstone landslide and subsequent debris flow in Tianshui, China. Eng Geol 186:79–90

    Article  Google Scholar 

  • Pilgrim DH, Cordery I (1975) Rainfall temporal patterns for design floods. J Hydraul Division 101(1):81–95

    Article  Google Scholar 

  • Raia S, Alvioli M, Rossi M (2013) Improving predictive power of physically based rainfall-induced shallow landslide models: a probabilistic approach. Geosci Model Develop Discussions 7(2):495

    Article  Google Scholar 

  • Scheevel CR, Baum RL, Mirus BB, Smith JB (2017) Precipitation thresholds for landslide occurrence near Seattle, Mukilteo, and Everett, Washington (No. 2017–1039). US Geological Survey

  • Sangelantoni L, Gioia E, Marincioni F (2018) Impact of climate change on landslides frequency: the Esino river basin case study (Central Italy). Nat Hazards 93:849–884

    Article  Google Scholar 

  • Schlögel R, Marchesini I, Alvioli M, Reichenbach P, Rossi M, Malet JP (2018) Optimizing landslide susceptibility zonation: effects of DEM spatial resolution and slope unit delineation on logistic regression models. Geomorphology 301:10–20

    Article  Google Scholar 

  • Schmidt J, Turek G, Clark MP, Uddstrom M, Dymond JR (2008) Probabilistic forecasting of shallow, rainfall-triggered landslides using real-time numerical weather predictions. Nat Hazards Earth Syst Sci 8(2):349–357

    Article  Google Scholar 

  • Tsai TL (2008) The influence of rainstorm pattern on shallow landslide. Environ Geol 53(7):1563–1569

    Article  Google Scholar 

  • Terhorst B, Kreja R (2009) Slope stability modelling with SINMAP in a settlement area of the Swabian Alb. Landslides 6(4):309–319

    Article  Google Scholar 

  • Turel M, Frost JD, (2011) Delineation of slope profiles from digital elevation models for landslide hazard analysis. In GeoRisk 2011American Society of Civil Engineers

  • Volosciuk C, Maraun D, Semenov VA, Tilinina N, Gulev SK, Latif M (2016) Rising mediterranean sea surface temperatures amplify extreme summer precipitation in central europe. Sci Rep 6:32450

    Article  Google Scholar 

  • Wang K, Zhang S, DelgadoTéllez R, Wei F (2018) A new slope unit extraction method for regional landslide analysis based on morphological image analysis. Bull Eng Geol Env 78(6):4139–4151

    Article  Google Scholar 

  • Wang K, Zhang S, Wei FQ (2019) Advances and prospects in the slope unit extraction method. J Yangtze River Sci Res Inst. https://doi.org/10.11988/ckyyb.20190210

    Article  Google Scholar 

  • Wang X, Zhang L, Wang S, Lari S (2014) Regional landslide susceptibility zoning with considering the aggregation of landslide points and the weights of factors. Landslides 11(3):399–409

    Article  Google Scholar 

  • Wei FQ, Gao KC, Jiang YH, Jia SW, Cui P, Xu J, Bi BG (2007) GIS-based prediction of debris flows and landslides in Southwestern China. Proceedings of Debris-Flow Hazards Mitigation: Mechanics, Prediction, and Assessment, edited by: Chen, CL and Major, JJ, Mill Press, the Netherlands, 479–490

  • Wen H, Zhang Y, Duan G, Fu H, Xie P, Zhou P, et al. (2017) Quantitative assessment of rainfall-induced landslide susceptibility in new urban area of fengjie county, three gorges area, china. Natural Hazards and Earth System Sciences Discussions, 1–23

  • Xie M, Esaki T, Zhou G (2004) GIS-based probabilistic mapping of landslide hazard using a three-dimensional deterministic model. Nat Hazards 33(2):265–282

    Article  Google Scholar 

  • Yavari-Ramshe S, Ataie-Ashtiani B (2016) Numerical modeling of subaerial and submarine landslide-generated tsunami waves—recent advances and future challenges. Landslides 13(6):1325–1368

    Article  Google Scholar 

  • Yendra R, Jemain AA, Hanaish IS (2018) Analysis of storm rainfall in peninsular Malaysia using Neyman-Scott rectangular pulse modeling in engineering and mathematical topics in rainfall. IntechOpen

    Google Scholar 

  • Yen BC, Chow VT (1980) Design hyetographs for small drainage structures. J Hydraulics Div 106(6):1055–1076

    Article  Google Scholar 

  • Yilmaz I, Keskin I (2009) GIS based statistical and physical approaches to landslide susceptibility mapping (Sebinkarahisar, Turkey). Bull Eng Geol Env 68(4):459–471

    Article  Google Scholar 

  • Zhang SJ, Wei FQ, Liu DL, Yang HJ, Jiang YH (2014) A regional-scale method of forecasting debris flow events based on water-soil coupling mechanism. J Mt Sci 11(6):1531–1542

    Article  Google Scholar 

  • Zhang SJ, Wei FQ, Liu DL, Jiang YH (2016) Analysis of slope stability based on the limit equilibrium equation and the hydrological simulation. J Basic Sci Eng 24:1182–1192 (in Chinese)

    Google Scholar 

  • Zhang SJ, Zhao LQ, Delgado-Tellez R, Bao HJ (2018) A physics-based probabilistic forecasting model for rainfall-induced shallow landslides at regional scale. Nat Hazard 18(3):969–982

    Article  Google Scholar 

  • Zhang LY, Zhang JM (2006) Extended algorithm using Monte Carlo techniques for searching general critical slip surface in slope stability analysis. Yantu Gongcheng Xuebao Chin J Geotech Eng 28(7):857–862 (in Chinese)

    Google Scholar 

  • Zhuang J, Peng J, Xu Y, Xu Q, Zhu X, Li W (2016) Assessment and mapping of slope stability based on slope units: a case study in Yan’an. China J Earth Syst Sci 125(7):1439–1450

    Article  Google Scholar 

  • Zhou S, Fang L, Liu B (2015) Slope unit-based distribution analysis of landslides triggered by the April Ms 7.0 Lushan earthquake. Arab J Geosci 8(10):7855–7868

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the Sichuan Science and Technology Program (No. 2020YFS0028), the Key Scientific Research project of Higher Education Institutions, Henan Province, China (No.20A560024), the Young scholar training program of Zhongyuan university of technology, Henan Province, China, and the funding of the National Natural Science Foundation of China (No.41772323; 41972292), Shaanxi Province International Science and Technology Cooperation and Exchange Program Key Project (2019KWZ-02), National key research and development project Research and development of engineering geology and soil collapsibility stabilization technology and standards for gully control and land rebuilding (2017YFD0800501).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kai Wang.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, K., Zhang, S. Rainfall-induced landslides assessment in the Fengjie County, Three-Gorge reservoir area, China. Nat Hazards 108, 451–478 (2021). https://doi.org/10.1007/s11069-021-04691-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11069-021-04691-z

Keywords

Navigation