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Assessment of discontinuity-controlled rock slope instability for debris slide initiation: a GIS-based kinematical analysis in the Great Smoky Mountains National Park, TN, USA

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Abstract

Unfavorable orientations of geological discontinuities and their geometrical relationship with the topographic slopes play a crucial role in controlling slope instability. This study developed a GIS-based kinematic model based on the mutual relationship between topographic slope and geological discontinuities to delineate rockfall zones and understand their spatial association with debris slide head scars in the Anakeesta rock formation of the Great Smoky Mountains National Park, Tennessee, USA. We mapped the exposed debris slide head scars from aerial photographs, satellite imagery, and field surveys and orientations of geological discontinuities were measured from the field along with other geotechnical parameters. Findings revealed the presence of four distinct sets of discontinuities, resulting in 11 possible slope failure mechanisms that could predict 57% of the existing debris slide. Wedge failure was the most prominent mode of slope failure, with wedge forming between the bedding plane and a joint set predicted for 27% of all failures in the debris slide head scars. The final rock kinematical susceptibility model was developed using the cumulative prediction capacity of individual discontinuity-driven kinematical rockfall failures through a weighted sum analysis. The model classified 77.9% of the area as safe, 14.7% to be moderately, and 7.4% as highly prone to kinematical rockfall failure. The susceptibility model was validated using the receiver operating characteristic curve on test data, which yielded an area under the curve (AUC) value of 65%, indicating a discriminatory power of the model separating the debris slide and non-debris slide scars. Finally, the spatial association between the kinematical susceptibility model and existing debris slide was statistically confirmed through a spatial Kolmogorov–Smirnov test of complete spatial randomness, signifying the role of kinematic rockfalls in generating the debris slide scars in the study area.

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Data availability

The data that support the findings of this study are available from the corresponding author, Arpita Nandi, upon reasonable request.

References

  • Allmendinger RW, Cardozo N, Fisher D (2012) Structural geology algorithms: vectors and tensors in structural geology: Cambridge University Press (book to be published in early 2012)

    Google Scholar 

  • Baddeley A, Turner R, Møller J, Hazelton M (2005) Residual analysis for spatial point processes (with discussion). J R Stat Soc 67(5):617–666

    Article  Google Scholar 

  • Baer P, Huggel C, McArdell BW, Frank F (2017) Changing debris flow activity after sudden sediment input: a case study from the Swiss Alps. Geol Today 33(6):216–223

    Article  Google Scholar 

  • Bieniawski ZT (1989) Engineering rock mass classifications: a complete manual for engineers and geologists in mining, civil, and petroleum engineering: New York, Wiley

  • Bogucki DJ (1970) Debris slides and Related Damaae Associated with the September 1, 1951 Cloudburst in the Mt. Leconte-Sugarland Mountain Area, Great Smoky Mountains National Park (Doctoral dissertation, Doctoral Dissertation, University of Tennessee, Knoxville)

  • Cerri RI, Reis FAGV, Gramani MF, Rosolen V, Luvizotto GL, Giordano LC, Gabelini BM (2018) Assessment of landslide occurrences in Serra do Mar mountain range using kinematic analyses. Environ Earth Sci 77:1–16

  • Clark GM (1987) Debris slides and debris flow historical events in the Appalachians south of the glacial border. Rev Eng Geol 7:125–138

    Article  Google Scholar 

  • Cruden DM (1989) Limits to common toppling. Can Geotech J 26:737–742

    Article  Google Scholar 

  • Das R, Nandi A, Joyner A, Luffman I (2021) Application of GIS-based knowledge-driven and data-driven methods for debris-slide susceptibility mapping. Int J Appl Geospat Res (IJAGR) 12(1):1–17

    Article  CAS  Google Scholar 

  • Davies TR, Korup O (2007) Persistent alluvial fanhead trenching resulting from large, infrequent sediment inputs. Earth Surf Proc Land 32(5):725–742

    Article  Google Scholar 

  • Eschner AR, Patric JH (1982) Debris avalanches in eastern upland forests. J Forest 80:343–347

    Article  Google Scholar 

  • Evans SG, Bishop NF, Smoll LF, Murillo PV, Delaney KB, Oliver-Smith A (2009) A re-examination of the mechanism and human impact of catastrophic mass flows originating on Nevado Huascarán, Cordillera Blanca, Peru in 1962 and 1970. Eng Geol 108(1–2):96–118

    Article  Google Scholar 

  • Fawcett T (2006) An introduction to ROC analysis. Pattern Recogn Lett 27:861–874

    Article  Google Scholar 

  • Frattini P, Crosta G, Carrara A, Agliardi F (2008) Assessment of rockfall susceptibility by integrating statistical and physically-based approaches. Geomorphology 94(3–4):419–437

    Article  Google Scholar 

  • Ghosh S, Günther A, Carranza EJM, van Westen CJ, Jetten VG (2010) Rock slope instability assessment using spatially distributed structural orientation data in Darjeeling Himalaya, India. Earth Surf Process Landforms 35(15):1773–1792. https://doi.org/10.1002/esp.2017. (1773)

    Article  Google Scholar 

  • Gokceoglu C, Sonmez H, Ercanoglu M (2000) Discontinuity controlled probabilistic slope failure risk maps of the Altindag (settlement) region in Turkey. Eng Geol 55(4):277–296

    Article  Google Scholar 

  • Goodman RE (1989) Introduction to rock mechanics, 2nd edn. John Wiley and Sons Inc, New York

    Google Scholar 

  • Goodman RE, Bray JW (1976) Toppling of rock slopes. In: Rock engineering: American society of civil engineers, geotechnical engineering division conference, boulder, Colorado, Vol. II, pp 201–234

  • Günther A (2003) SLOPEMAP: programs for automated mapping of geometrical and kinematical properties of hard rock hill slopes. Comput Geosci 29(7):865–875

    Article  Google Scholar 

  • Hauser A (2002) Rock avalanche and resulting debris flow in Estero Parraguirre and Rio Colorado, Regio’n Metropolitana, Chile. Catastrophic landslides: effects, occurrence and mechanisms. Geol Soc Am Rev Eng Geol 15:135–148

    Article  Google Scholar 

  • Henderson JP (1997) Debris slide susceptibility analysis in the Mt. LeConte-newfound gap area of the great smoky mountains, Tennessee and North Carolina. Unpublished Master’s Thesis, The University of Tennessee, Knoxville

  • Hoek E, Bray JW (1981) Rock slope engineering. Institution of Mining and Metallurgy, London

    Book  Google Scholar 

  • Hong SK, Park HJ (2019) Probabilistic kinematic analysis of rock slope stability using terrestrial lidar. Econ Environ Geol 52(3):231–241. https://doi.org/10.9719/EEG.2019.52.3.231

  • Hungr O, Evans SG (2004) Entrainment of debris in rock avalanches: an analysis of a long run-out mechanism. Geol Soc Am Bull 116(9–10):1240–1252

    Article  Google Scholar 

  • Hupp CR (1983) Seedling establishment on a landslide site. Castanea 48:89–98

    Google Scholar 

  • Kanno H, Moriguchi S, Tsuda Y, Yoshida I, Iwanaga S, Terada K (2023) A method for rockfall risk quantification and optimal arrangement of protection structures along a road. Eng Geol 314:107004

    Article  Google Scholar 

  • King PB, Jarvis BH, Robert B, Neuman WH (1958) Stratigraphy of the Ocoee series, great smoky mountains, Tennessee and North Carolina. Geol Soc Am Bull 69:947–966

    Article  Google Scholar 

  • King PB, Neuman RB, Hadley JB (1968b) Geology of the great smoky mountains national park, Tennessee and North Carolina, Geological Survey Professional Paper 587. Government Printing Office, Washington

    Google Scholar 

  • King PB, Neuman RB, Hadley JB (1968) Geology of the Great Smoky Mountains National Park, Tennessee and North Carolina. U. S. Geol. Surv. Prof. Pap. 587

  • Kundu J, Sarkar K, Ghaderpour E, Scarascia Mugnozza G, Mazzanti P (2023) A GIS-based kinematic analysis for jointed rock slope stability: an application to Himalayan slopes. Land 12(2):402

    Article  Google Scholar 

  • Lee S (2005) Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data. Int J Remote Sens 26(7):1477–1491

    Article  Google Scholar 

  • Loye A, Jaboyedoff M, Pedrazzini A (2009) Identification of potential rockfall source areas at a regional scale using a DEM-based geomorphometric analysis. Nat Hazard 9(5):1643–1653

    Article  Google Scholar 

  • Luckman BH (2013) 7.17 Processes, transport, deposition, and landforms: Rockfall

  • Markland JT (1972) A useful technique for estimating the stability of rock slopes when the rigid wedge sliding type of failure is expected. Imperial College Rock Mechanics, Reserach Report, no. 19. Imperial College Press, London

    Google Scholar 

  • Matheson GD (1983) Rock stability assessment in preliminary site investigations—graphical methods, report 1039. Transport and Road Research Laboratory, Crownthorne

    Google Scholar 

  • Melzner S, Rossi M, Guzzetti F (2020) Impact of mapping strategies on rockfall frequency-size distributions. Eng Geol 272:105639

    Article  Google Scholar 

  • Moore HLA (1988) A roadside guide to the geology of the great smoky mountains national park. University of Tennessee Press, Knoxville, p 178

    Google Scholar 

  • Nandi A, Shakoor A (2017) Predicting debris flow initiation zone using statistical and rock kinematic analysis, a case study from West Prong Little Pigeon River, TN, NASL Proceedings, 2017

  • Nandi A, Shakoor A (2010) A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses. Eng Geol 110:11–20. https://doi.org/10.1016/j.enggeo.2009.10.001

    Article  Google Scholar 

  • Nikoobakht S, Azarafza M, Akgün H, Derakhshani R (2022) Landslide susceptibility assessment by using convolutional neural network. Appl Sci 12(12):5992

    Article  CAS  Google Scholar 

  • Olea RA, Pawlowsky-Glahn V (2009) Kolmogorov–Smirnov test for spatially correlated data. Stoch Env Res Risk Assess 23(6):749–757

    Article  Google Scholar 

  • Palmstrøm A (1982) The volumetric joint count—a useful and simple measure of the degree of rock mass jointing. IAEG Congress, New Delhi, p V.221-V.228

    Google Scholar 

  • Park HJ, Lee JH, Kim KM, Um JG (2016) Assessment of rock slope stability using GIS-based probabilistic kinematic analysis. Eng Geol 203:56–69

    Article  Google Scholar 

  • Pignalosa A, Forte G, Budetta P, Santo A (2022) Topographic amplification and debris remobilization as a cause for increasing rockfall hazard in seismic areas: a case study in Central Italy. Geomorphology 403:108160

    Article  Google Scholar 

  • Roy S, Mandal N (2009) Modes of hillslope failure under overburden loads: insights from physical and numerical models. Tectonophysics 473:324–340

    Article  Google Scholar 

  • Ryan PT (1989) Debris slides and flows on anakeesta ridge within the great smoky mountains national park Tennessee, USA. Unpublished Master's Thesis, The University of Tennessee, Knoxville

  • Southworth S, Schultz A, Denenny D (2005) Geologic map of the great smoky mountains national park region, Tennessee and North Carolina. US Geological Survey Open File Report 2005–1225, scale 1:100,000

  • Varnes DJ (1978) Slope movements: types and processes. In: Schuster RL and Krizek RJ (eds) Landslide analysis and control, transportation research board, special report 176. Washington, DC, 11–33

  • Walter F, Amann F, Kos A, Kenner R, Phillips M, de Preux A et al (2020) Direct observations of a three million cubic meter rock-slope collapse with almost immediate initiation of ensuing debris flows. Geomorphology 351:106933

    Article  Google Scholar 

  • Wang Z, Liu Q, Liu Y (2020) Mapping landslide susceptibility using machine learning algorithms and GIS: a case study in Shexian County, Anhui Province. China Symmetry 12(12):1954

    Article  Google Scholar 

  • Wieczorek GF, Morgan BA, Campbell RH (2000) Debris-flow hazards in the Blue Ridge of central Virginia. Environ Eng Geosci 6(1):3–23

    Article  Google Scholar 

  • Xu J, Jiang Y, Yang C (2022) Landslide displacement prediction during the sliding process using XGBoost. SVR and RNNs Applied Sciences 12(12):6056

    Article  CAS  Google Scholar 

  • Yan J, Chen J, Li Y, Li Z, Zhang Y, Zhou X, Mehmood Q, Liu J, Wang Z (2022) Kinematic-based failure angle analysis for discontinuity-controlled rock slope instabilities: a case study of Ren Yi Peak Cluster in Fusong County, China. Nat Hazards 111(3):2281–2296. https://doi.org/10.1007/s11069-021-05137-2

  • Yoon WS, Jeong UJ, Kim JH (2002) Kinematic analysis for sliding failure of multi-faced rock slopes. Eng Geol 67(1–2):51–61

    Article  Google Scholar 

  • Zhao Y, Wang L, Li H (2020) Effect of freeze-thaw on the stability of a cutting slope in a high-latitude and low-altitude permafrost region. Appl Syst Innov 3(3):36

    Article  Google Scholar 

  • Zimmer VL, Collins BD, Stock GM, Sitar N (2012) Rockfall dynamics and deposition: an integrated analysis of the 2009 Ahwiyah Point rock fall, Yosemite National Park, USA. Earth Surf Proc Land 37(6):680–691

    Article  Google Scholar 

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Funding

This research was supported by East Tennessee State University, U.S. National Park Service.

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Authors and Affiliations

  1. Center for Geospatial Analytics, North Carolina State University, Raleigh, NC, 27695, USA

    Raja Das

  2. Department of Geosciences, East Tennessee State University, 1276 Gilbreath Dr, Johnson City, TN, 37614, USA

    Arpita Nandi, Ingrid Luffman & Andrew Joyner

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  1. Raja Das
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  2. Arpita Nandi
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Contributions

A collected the field and geospatial data B provided mentoring throughout this research A, B did the major kinematic analysis C, D provided input on geospatial analysis A, B, C, D wrote the main manuscript text A prepared the figures. All authors reviewed the manuscript.

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Correspondence to Arpita Nandi.

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Das, R., Nandi, A., Luffman, I. et al. Assessment of discontinuity-controlled rock slope instability for debris slide initiation: a GIS-based kinematical analysis in the Great Smoky Mountains National Park, TN, USA. Environ Earth Sci 83, 284 (2024). https://doi.org/10.1007/s12665-024-11578-2

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