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Identifying the Main Control Factors for Different Deformation Stages of Landslide

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Abstract

Water level fluctuations and rainfall, as external factors, are typically the two dominant causal factors of landslide deformation in the Three Gorges Reservoir Area. A quantitative model capable of evaluating landslide deformation processes is critical for early warning of landslide. The primary purpose of this paper is to take the Zhujiadian landslide as an example to determine the main control factors for different deformation stages of landslide. Original field date collected from the Zhujiadian landslide was examined using the grey relational grade analysis (GRGA). The approach consists of three steps: determination of landslide type, data processing, and identifying the main control factors of landslide deformation. The results obtained suggest that the Zhujiadian landslide is typical retrogressive landslide, and its deformation occurred first at the front part of the landslide and progressed upslope due to drawdown of reservoir water level and heavy rainfall. In the whole deformation process, the main control factors of different parts of landslide changed with the landslide development. Thus, the findings of the study are useful for rapidly predicting landslide deformation relating to water level fluctuations and rainfall, and the GRGA is useful for interpreting the main control factors of landslide deformation from a quantitative point of view.

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References

  • Cojean R, Cai YJ (2011) Analysis and modeling of slope stability in the Three-Gorges Dam reservoir (China): the case of Huangtupo landslide. J Mt Sci 8(2):166–175

    Article  Google Scholar 

  • Deng JL (1982) Control problems of grey systems. Syst Control Lett 1:288–294

    Article  Google Scholar 

  • Genevois R, Ghirotti M (2005) The 1963 Vaiont landslide. G Geol Appl 1:41–52. doi:10.1474/GGA.2005-01.0-05.0005

    Google Scholar 

  • He KQ, Li XR, Yan XQ, Guo D (2008) The landslides in the Three Gorges Reservoir Region, China and the effects of water storage and rain on their stability. Environ Geol 55:55–63. doi:10.1007/s00-254-007-0964-7

    Article  Google Scholar 

  • Hsieh YC, Chan YC, Hu JC (2016) Digital elevation model differencing and error estimation from multiple sources: a case study from the Meiyuan Shan landslide in Taiwan. Remote Sens. doi:10.3390/rs8030199

    Google Scholar 

  • Hu XL, Zhang M, Sun MJ, Huang KX, Song YJ (2013) Deformation characteristics and failure mode of the Zhujiadian landslide in the Three Gorges Reservoir, China. Bull Eng Geol Environ 74:1–12. doi:10.1007/s100-64-013-0552-x

    Article  Google Scholar 

  • Huang HF, Yi W, Lu SQ, Yi QL, Zhang GD (2014) Use of monitoring data to interpret active landslide movements and hydrological triggers in three gorges reservoir. J Perform Constr Facil. doi:10.1061/(ASCE)CF.1943-550-9.00006-82

    Google Scholar 

  • Jian WX, Xu Q, Yang HF, Wang FW (2014) Mechanism and failure process of Qianjiangping landslide in the Three Gorges Reservoir, China. Environ Earth Sci 72:2999–3013. doi:10.1007/s126-65-014-3205-x

    Article  Google Scholar 

  • Jiang YN, Liao MS, Zhou ZW, Shi XG, Zhang L, Balz T (2016) Landslide deformation analysis by coupling deformation time series from SAR data with hydrological factors through data assimilation. Remote Sens 8(3):179. doi:10.3390/rs8030179

    Article  Google Scholar 

  • Khan YA, Lateh H (2011) Failure mechanism of a shallow landslide at tun-sardon road cut section of penang island, malaysia. Geotech Geol Eng 29:1063–1072. doi:10.1007/s10706-011-9437-6

    Article  Google Scholar 

  • Kondapalli SP, Srinivasa RC, Nageswara RD (2015) Application of grey relational analysis for optimizing weld bead geometry parameters of pulsed current micro plasma arc welded inconel 625 sheets. Int J Adv Manuf Technol 78:625–632. doi:10.1007/s00170-014-6665-y

    Article  Google Scholar 

  • Kulatilake PHSW, Ge YF (2014) Investigation of stability of the critical rock blocks that initiated the Jiweishan landslide in China. Geotech Geol Eng 32:1291–1315. doi:10.1007/s10706-014-9806-z

    Article  Google Scholar 

  • Lu YF (2015) Deformation and failure mechanism of slope in three dimensions. J Rock Mech Geotech Eng 7:109–119

    Article  Google Scholar 

  • Lu N, Likos WJ (2006) Suction stress characteristic curve for unsaturated soil. J Geotech Geoenviron Eng 132(2):131–142

    Article  Google Scholar 

  • Luo HM, Tang HM, Zhang GC, Xu WY (2008) The influence of water level fluctuation on the bank landslide stability. Earth Sci J China Univ Geosci 33(05):687–692

    Google Scholar 

  • Ma JW, Tang HM, Hu XL, Bobet A, Zhang M, Zhu TW, Song YJ, Ez Eldin Mutasim AM (2016) Identification of causal factors for the Majiagou landslide using modern data mining methods. Landslides. doi:10.1007/s10346-016-0693-7

    Google Scholar 

  • Massey CI, Petley DN, McSaveney MJ (2013) Patterns of movement in reactivated landslides. Eng Geol 159:1–19

    Article  Google Scholar 

  • Palis E, Lebourg T, Tric E, Malet JP, Vidal M (2016) Long-term monitoring of a large deep-seated landslide (La Clapiere, South-East French Alps): initial study. Landslides 14(1):1–16

    Google Scholar 

  • Rahardjo H, Li XW, Toll DG, Leong EC (2001) The effect of antecedent rainfall on slope stability. Geotech Geol Eng 19:371–399

    Article  Google Scholar 

  • Samaneh M, Hossein T (2016) Finite element simulation of an excavation-triggered landslide using large deformation theory. Eng Geol 205:62–72

    Article  Google Scholar 

  • Sharma LK, Umrao RK, Singh R, Ahmad M, Singh TN (2017a) Stability investigation of hill cut soil slopes along national highway 222 at Malshej Ghat, Maharashtra. J Geol Soc India 89(2):165–174

    Article  Google Scholar 

  • Sharma LK, Umrao RK, Singh R, Ahmad M, Singh TN (2017b) Geotechnical characterization of road cut hill slope forming unconsolidated geo-materials: a case study. Geotech Geol Eng 35:503–515. doi:10.1007/s10706-016-0093-8

    Article  Google Scholar 

  • Singh TN, Singh R, Singh B, Sharma LK, Singh R, Ansari MK (2016) Investigations and stability analyses of Malin village landslide of Pune district, Maharashtra, India. Nat Hazards 81(3):2019–2030

    Article  Google Scholar 

  • Song HF, Cui W (2016) A large-scale colluvial landslide caused by multiple factors: mechanism analysis and phased stabilization. Landslides 13:321–335. doi:10.1007/s10346-015-0560-y

    Article  Google Scholar 

  • Sun BX, Jiang JC, Zheng FD et al (2015) Practical state of health estimation of power batteries based on Delphi method and grey relational grade analysis. J Power Sources 282:146–157

    Article  Google Scholar 

  • Sylviana S, Alchris WG, Suryadi I, Ju YH (2015) Taguchi method and grey relational analysis to improve in situ production of FAME from sunflower and Jatropha curcas Kernels with subcritical solvent mixture. J Am Oil Chem Soc 92:1513–1523. doi:10.1007/s11746-015-2714-4

    Article  Google Scholar 

  • Tang HX (2008) Analysis for progressive failure of the Senise landslide based on Cosserat continuum model. In: Proceedings of the landslides and engineered slopes. From the Past to the Future, Two Volumes + CD-ROM. CRC Press, pp 945–950

  • Tang HM, Li CD, Hu XL et al (2015) Deformation response of the Huangtupo landslide to rainfall and the changing levels of the Three Gorges Reservoir. Bull Eng Geol Environ 74(3):933–942

    Article  Google Scholar 

  • Troncone A, Conte E, Donato A (2014) Two and three-dimensional numerical analysis of the progressive failure that occurred in an excavation-induced landslide. Eng Geol 183:265–275. doi:10.1016/j.enggeo.2014.08.027

    Article  Google Scholar 

  • Umrao RK, Singh R, Sharma LK, Singh TN (2017) Soil slope instability along a strategic road corridor in Meghalaya, north-eastern India. Arab J Geosci. doi:10.1007/s12517-017-3043-8

    Google Scholar 

  • Wang K (2011) A hybrid Kansei engineering design expert system based on grey system theory and support vector regression. Expert Syst Appl 38:8738–8750

    Article  Google Scholar 

  • Wang FW, Zhang YM, Huo ZT, Peng XM, Araiba K, Wang GH (2008) Movement of the Shuping landslide in the first four years after the initial impoundment of the Three Gorges Dam Reservoir, China. Landslides 5:321–329. doi:10.1007/s-10346-008-0128-1

    Article  Google Scholar 

  • Wang J, Su A, Xiang W, Yeh HF, Xiong C, Zou Z et al (2016) New data and interpretations of the shallow and deep deformation of Huangtupo no. 1 riverside sliding mass during seasonal rainfall and water level fluctuation. Landslides 13(4):1–10

    Article  Google Scholar 

  • Wei ZL, Shang YQ, Zhao Y, Pan P, Jiang YJ (2017) Rainfall threshold for initiation of channelized debris flows in a small catchment based on in-site measurement. Eng Geol 217:23–34. doi:10.1016/j.enggeo.2016.12.003

    Article  Google Scholar 

  • Xia M, Ren GM, Ma XL (2013) Deformation and mechanism of landslide influenced by the effects of reservoir water and rainfall, Three Gorges, China. Nat Hazards 68:467–482. doi:10.1007/s11069-013-0634-x

    Article  Google Scholar 

  • Yao W, Zeng ZG, Lian C, Tang HM (2015) Training enhanced reservoir computing predictor for landslide displacement. Eng Geol 188:101–109. doi:10.1016/j.enggeo.2014.11.008

    Article  Google Scholar 

  • Yi W, Meng ZP, Yi QL (2011) Theory and method of landslide stability prediction in the Three Gorges Reservoir area. Science Press, Beijing

    Google Scholar 

  • Yilmaz K (2015) Hidden pattern discovery on epileptic EEG with 1-D local binary patterns and epileptic seizures detection by grey relational analysis. Australas Phys Eng Sci Med 38:435–446. doi:10.1007/s13246-015-0362-5

    Article  Google Scholar 

  • Yin YM, Cui HY, Hong M, Zhao DY (2015) Prediction of the vertical vibration of ship hull based on grey relational analysis and SVM method. J Mar Sci Technol 20:467–474. doi:10.1007/s00773-014-0299-5

    Article  Google Scholar 

  • Zhao DP, Wang SW, Tan YZ, Zhan QH (2013) Stability studies of buoyancy weight loss landslides under reservoir water level fluctuation. Rock Soil Mech 34(04):1017–1024. doi:10.16285/j.rsm.2013.04.020

    Google Scholar 

Download references

Acknowledgements

This study was financially supported by the Key National Natural Science Foundation of China (41630643), the National Natural Science Foundation of China (41272305), the National Basic Research Program of China (973 Program, No. 2011CB710604). The authors are grateful for providing the valuable monitoring date by staff of Badong County in Enshi Prefecture Environmental Monitoring Station, Badong 444300, China. The authors are grateful for all these sources of support.

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Correspondence to Xinli Hu.

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Tan, F., Hu, X., He, C. et al. Identifying the Main Control Factors for Different Deformation Stages of Landslide. Geotech Geol Eng 36, 469–482 (2018). https://doi.org/10.1007/s10706-017-0340-7

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  • DOI: https://doi.org/10.1007/s10706-017-0340-7

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