Abstract
Many landslides have been triggered by the fluctuation of reservoir water level in the Three Gorges Reservoir area (TGRA) of China. The current research lacks the quantitative risk assessment framework for reservoir landslides. In this study, the risk associated with the Shilongmen reservoir landslide in TGRA is assessed by considering two hazard scenarios corresponding to the deformation and failure phases. The former is modeled via fully coupled finite element analyses, which take into account the reservoir water level and rainfall as triggering factors of landslide displacements; the latter, via the limit equilibrium method and Monte Carlo method, analyzes the failure probability under different conditions induced by the annual reservoir regulation and the return period of rainfall events. The vulnerability is quantitatively modeled as a function of both landslide intensity and the resilience of the elements at risk (EAR). In the deformation scenario, the expected monetary loss is estimated by multiplying the monetary value of the buildings for their vulnerability, and the corresponding risk map displays the potential economic losses to the EAR. In the failure scenario, direct (landslide) and indirect (tsunamis) risks are considered because the rapid decline of reservoir water level and heavy rainfall can cause the landslide rapidly sliding into the Yangtze River. Bearing in mind that there are several unstable slopes in the same geo-environmental context in the TGRA, the proposed research framework could provide a reference for government risk management strategies.
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The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Adarsh S, Reddy MJ (2013) Reliability analysis of composite channels using first order approximation and Monte Carlo simulations. Stoch Env Res Risk Assess 27(2):477–487. https://doi.org/10.1007/s00477-012-0663-0
Agliata R, Bortone A, Mollo L (2021) Indicator-based approach for the assessment of intrinsic physical vulnerability of the built environment to hydro-meteorological hazards: review of indicators and example of parameters selection for a sample area. Int J Disaster Risk Reduct 58:102199. https://doi.org/10.1016/j.ijdrr.2021.102199
Bell R, Glade T (2004) Quantitative risk analysis for landslides– examples from B´ıldudalur, NW-Iceland. Nat Hazard 4:117–131
Bianchini S, Pratesi F, Nolesini T, Casagli N (2015) Building deformation assessment by means of persistent scatterer interferometry analysis on a landslide-affected area: the Volterra (Italy) case study. Remote Sensing 7(4):4678–4701. https://doi.org/10.3390/rs70404678
Boscardin MD, Cording EJ (1987) Building response to excavation induced settlement. J Geotech Eng 1(115):1–21. https://doi.org/10.1061/(ASCE)0733-9410(1989)115:1(1)
Cao Y (2016) Risk assessment and early warning of individual landslide-case study of the Tangjiao landslide in Wanzhou,PhD dissertation, China University of Geosciences (Wuhan). https://kns.cnki.net/KCMS/detail/detail.aspx?dbname=CDFDLAST2017&filename=1016312154.nh
Chen L (2008) Risk assessment of individual landslide along Three Gorges Reservior Shoreline, PhD dissertation, China University of Geosciences (Wuhan)
Chen S, Wu C (2016) Annual landslide risk and effectiveness of risk reduction measures in Shihmen watershed, Taiwan. Landslides 13(3):551–563. https://doi.org/10.1007/s10346-015-0588-z
Chen L, Du J, Zhang F, Wang Y, Yin K, Ma F (2020) Technical requirements for hazard and risk assessment of landslide-triggered water waves in the Three Gorges Reservoir Area in Chongqing. China University of Geosciences Press
Conte E, Pugliese L, Troncone A (2019) Post-failure stage simulation of a landslide using the material point method. Eng Geol 253:149–159. https://doi.org/10.1016/j.enggeo.2019.03.006
Corominas J, van Westen CJ, Frattini P, Cascini L, Malet JP, Fotopoulou S, Catani F, van den Eeckhaut M, Mavrouli OC, Agliardi F, Pitilakis K, Winter MG, Pastor M, Ferlisi S, Tofani V, Hervás J, Smith JT, Cascini L, Ferlisi S, Cascini L, Ferlisi S (2014) Recommendations for the quantitative analysis of landslide risk. Bull Eng Geol Env 73(2):209–263. https://doi.org/10.1007/s10064-013-0538-8
Cruden DM, Varnes DJ (1996) Landslide types and processes. Landslide investigation and mitigation. National Academy Press, Washington, pp 36–75
Cui X, Che Y, Zhao Y, Li P, Bai Z (2021) Further discussion on mining deformation and building damage classification. J China Coal Soc 46(01):145–153
Cui Q, Zhang L, Chen X, Cao Z, Wei X, Zhang J, Xu J, Liu D, Du C (2022) Quantitative risk assessment of landslides with direct simulation of pre-failure to post-failure behaviors. Acta Geotech 17(10):4497–4514. https://doi.org/10.1007/s11440-022-01485-w
Dey R, Hawlader B, Phillips R, Soga K (2015) Large deformation finite-element modelling of progressive failure leading to spread in sensitive clay slopes. Geotechnique 65(8):657–668
Du J, Yin K, Lacasse S, Nadim F (2014) Quantitative vulnerability estimation of structures for individual landslide: application to the metropolitan area of San Salvador, El Salvado. Electron J Geotech Eng 19(4):1251–1264
Du J, Yin K, Glade T, Woldai T, Bo C, Xiao L, Wang Y (2020) Probabilistic hazard analysis of impulse waves generated by multiple subaerial landslides and its application to Wu Gorge in Three Gorges Reservoir China. Eng Geol. https://doi.org/10.1016/j.enggeo.2020.105773
Du J, Yin K, Wang Y, Wu Y (2016) Quantitative vulnerability evaluation of individual landslide: application to the Zhaoshuling landslide, Three Gorges Reservoir, China. In: Proceeding of 12th International Symposium on landslides, Napoli, Italy
Duncan JM (1996) State of the art: limit equlibrium and finite-element analysis of slopes. J Geotech Eng 122(7):577–596
Enet F, Grilli ST (2007) Experimental study of tsunami generation by three-dimensional rigid underwater landslides. J Waterway Port Coastal Ocean Eng 6(133):442–454. https://doi.org/10.1061/?ASCE?0733-950X?2007?133:6?442?
Fell R, Corominas J, Bonnard C, Cascini L, Leroi E, Savage WZ (2008) Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Eng Geol 102(3–4):85–98. https://doi.org/10.1016/j.enggeo.2008.03.022
Ferlisi S, Marchese A, Peduto D (2021) Quantitative analysis of the risk to road networks exposed to slow-moving landslides: a case study in the Campania region (southern Italy). Landslides 18(1):303–319. https://doi.org/10.1007/s10346-020-01482-8. (ISSN 1612-510X)
Ferlisi S, Gullà G, Nicodemo G, Peduto D (2019) A multi-scale methodological approach for slow-moving landslide risk mitigation in urban areas, southern Italy. Euro-Mediterr J Environ Integr 4(1). https://doi.org/10.1007/s41207-019-0110-4
Franci A, Cremonesi M, Perego U, Oñate E, Crosta G (2020) 3D simulation of Vajont disaster. Part 2: Multi-failure scenarios. Eng Geol 279. https://doi.org/10.1016/j.enggeo.2020.105856
Gulla G, Peduto D, Borrelli L, Antronico L, Fornaro G (2017) Geometric and kinematic characterization of landslides affecting urban areas; the Lungro case study (Calabria, southern Italy). Landslides 14(1):171–188. https://doi.org/10.1007/s10346-015-0676-0
Guo Z, Chen L, Gui L, Du J, Yin K, Do HM (2020a) Landslide displacement prediction based on variational mode decomposition and WA-GWO-BP model. Landslides 17(3):567–583. https://doi.org/10.1007/s10346-019-01314-4
Guo Z, Chen L, Yin K, Shrestha DP, Zhang L (2020b) Quantitative risk assessment of slow-moving landslides from the viewpoint of decision-making: a case study of the Three Gorges Reservoir in China. Engineering Geology, 273:105667. https://doi.org/10.1016/j.enggeo.2020.105667
Guo Z, Torra O, Hürlimann M, Abancó C, Medina V (2022) FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides. Environ Model Softw 150:105354. https://doi.org/10.1016/j.envsoft.2022.105354
Guo Z, Tian B, He J, Xu C, Zeng T, Zhu Y (2023) Hazard assessment for regional typhoon-triggered landslides by using physically-based model – a case study from southeastern China. Georisk Assess Manag Risk Eng Syst Geohazards. https://doi.org/10.1080/17499518.2023.2188465
Guzzetti F, Gariano SL, Peruccacci S, Brunetti MT, Marchesini I, Rossi M, Melillo M (2020) Geographical landslide early warning systems. Earth Sci Rev 200:102973. https://doi.org/10.1016/j.earscirev.2019.102973
Harbitz CB, Nakamura Y, Arikawa T, Baykal C, Dogan GG, Frauenfelder R, Glimsdal S, Guler HG, Issler D, Kaiser G, Kânoğlu U, Kisacik D, Kortenhaus A, Løvholt F, Maruyama Y, Sassa S, Sharghivand N, Strusinska-Correia A, Tarakcioglu GO, Yalciner AC (2016) Risk assessment and design of prevention structures for enhanced tsunami disaster resilience (RAPSODI)/Euro-Japan collaboration. Coast Eng J 58(4):1640012-1-1640012–37. https://doi.org/10.1142/S057856341640012X
Huang F, Ye Z, Jiang S, Huang J, Chang Z, Chen J (2021) Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models. CATENA 202:105250. https://doi.org/10.1016/j.catena.2021.105250
Huang F, Yan J, Fan X, Yao C, Huang J, Chen W, Hong H (2022) Uncertainty pattern in landslide susceptibility prediction modelling: effects of different landslide boundaries and spatial shape expressions. Geosci Front 13(2):101317. https://doi.org/10.1016/j.gsf.2021.101317
Hungr O, Leroueil S, Picarelli L (2014) The Varnes classification of landslide types, an update. Landslides 11(2):167–194. https://doi.org/10.1007/s10346-013-0436-y
Infante D, Confuorto P, Di Martire D, Ramondini M, Calcaterra D (2016) Use of DInSAR data for multi-level vulnerability assessment of urban settings affected by slow-moving and intermittent landslides. Procedia Engineering 158:470–475. https://doi.org/10.1016/j.proeng.2016.08.474
Infante D, Di Martire D, Confuorto P, Tessitore S, Tòmas R, Calcaterra D, Ramondini M (2019) Assessment of building behavior in slow-moving landslide-affected areas through DInSAR data and structural analysis. Eng Struct 199:109638. https://doi.org/10.1016/j.engstruct.2019.109638
Intrieri E, Gigli G, Mugnai F, Fanti R, Casagli N (2012) Design and implementation of a landslide early warning system. Eng Geol 147:124–136. https://doi.org/10.1016/j.enggeo.2012.07.017
Intrieri E, Carla T, Gigli G (2019) Forecasting the time of failure of landslides at slope-scale: a literature review. Earth Sci Rev 193:333–349. https://doi.org/10.1016/j.earscirev.2019.03.019
Jaiswal P, Westen CJV, Jetten V (2010) Quantitative assessment of direct and indirect landslide risk along transportation lines in southern India. Nat Hazards Earth Syst Sci 10(6):1253–1267. https://doi.org/10.5194/nhess-10-1253-2010
Jaiswal P, van Westen CJ, Jetten V (2011) Quantitative estimation of landslide risk from rapid debris slides on natural slopes in the Nilgiri hills, India. Nat Hazards Earth Syst Sci 11(6):1723–1743. https://doi.org/10.5194/nhess-11-1723-2011
Leshchinsky B, Vahedifard F, Koo H, Kim S (2015) Yumokjeong landslide: an investigation of progressive failure of a hillslope using the finite element method. Landslides 12(5):997–1005. https://doi.org/10.1007/s10346-015-0610-5
Li Y, Yin K, Chai B, Zhang G (2008) Study on statistical rule of shear strength parameters of soil in landslide zone in Three Gorges Reservoir area. Rock Soil Mech 29(5):1419–1424. https://doi.org/10.16285/j.rsm.2008.05.032
Li Z, Nadim F, Huang H, Uzielli M, Lacasse S (2010) Quantitative vulnerability estimation for scenario-based landslide hazards. Landslides 7(2):125–134. https://doi.org/10.1007/s10346-009-0190-3
Li D, Yan L, Wu L, Yin K, Leo C (2019) The Hejiapingzi landslide in Weining County, Guizhou Province, Southwest China: a recent slow-moving landslide triggered by reservoir drawdown. Landslides 16(7):1353–1365. https://doi.org/10.1007/s10346-019-01189-5
Li Y, Chen L, Yin K, Zhang Y, Gui L (2020) Quantitative risk analysis of the hazard chain triggered by a landslide and the generated tsunami in the Three Gorges Reservoir area. Landslides. https://doi.org/10.1007/s10346-020-01516-1
Li B, Gong W, Tang H, Zou Z, Bowa VM, Juang CH (2021a) Probabilistic analysis of a discrete element modelling of the runout behavior of the Jiweishan landslide. Int J Numer Anal Meth Geomech 45(8):1120–1138
Li Y, Utili S, Milledge D, Chen L, Yin K (2021b) Chasing a complete understanding of the failure mechanisms and potential hazards of the slow moving Liangshuijing landslide. Eng Geol 281(3):105977. https://doi.org/10.1016/j.enggeo.2020.105977
Liang C, Wu Z, Liu X, Xiong Z, Li T (2021a) Analysis of shallow landslide mechanism of expansive soil slope under rainfall: a case study. Arab J Geosci 14(7). https://doi.org/10.1007/s12517-021-06829-6
Liang X, Gui L, Wang W, Du J, Ma F, Yin K (2021b) Characterizing the development pattern of a colluvial landslide based on long-term monitoring in the Three Gorges Reservoir. Remote Sens 13(2):224. https://doi.org/10.3390/rs13020224
Liu Y, Yin K, Chen L, Wang W, Liu Y (2016) A community-based disaster risk reduction system in Wanzhou, China. Int J Disaster Risk Reduct 19:379–389. https://doi.org/10.1016/j.ijdrr.2016.09.009
Llano-Serna MA, Farias MM, Pedroso DM (2016) An assessment of the material point method for modelling large scale run-out processes in landslides. Landslides 13(5):1057–1066. https://doi.org/10.1007/s10346-015-0664-4
Luna BQ, Remaître A, van Asch TWJ, Malet JP, van Westen CJ (2012) Analysis of debris flow behavior with a one dimensional run-out model incorporating entrainment. Eng Geol 128:63–75. https://doi.org/10.1016/j.enggeo.2011.04.007
Luo HY, Zhang LM, He J, Yin KS (2022) Reliability-based formulation of building vulnerability to debris flow impacts. Can Geotech J 59(1):40–54. https://doi.org/10.1139/cgj-2020-0120
Mu P, Wang P, Han L, Wang M, Meng C, Cheng Z, Xu H (2020) The propagation of landslide-generated impulse waves and their impacts on the moored ships: an experimental investigation. Adv Civil Eng 2020:1–13. https://doi.org/10.1155/2020/6396379
Negulescu C, Foerster E (2010) Parametric studies and quantitative assessment of the vulnerability of a RC frame building exposed to differential settlements. Nat Hazards Earth Syst Sci 10(9):1781–1792. https://doi.org/10.5194/nhess-10-1781-2010
Nonveiller E (1987) The Vajont reservoir slope failure. Eng Geol 24(1):493–512. https://doi.org/10.1016/0013-7952(87)90081-0
Noviello C, Verde S, Zamparelli V, Fornaro G, Pauciullo A, Reale D, Nicodemo G, Ferlisi S, Gullà G, Peduto D (2020) Monitoring buildings at landslide risk with SAR: a methodology based on the use of multipass interferometric data. IEEE Geosci Remote Sens Mag (GRSM) 8(1):91–119. https://doi.org/10.1109/JTEHM.2016.2635126
Pastor M, Blanc T, Haddad B, Petrone S, Sanchez Morles M, Drempetic V, Issler D, Crosta GB, Cascini L, Sorbino G, Cuomo S (2014) Application of a SPH depth-integrated model to landslide run-out analysis. Landslides 11(5):793–812. https://doi.org/10.1007/s10346-014-0484-y
Peduto D, Ferlisi S, Nicodemo G, Reale D, Pisciotta G, Gulla G (2017) Empirical fragility and vulnerability curves for buildings exposed to slow-moving landslides at medium and large scales. Landslides 14(6):1993–2007. https://doi.org/10.1007/s10346-017-0826-7
Peduto D, Nicodemo G, Caraffa M, Gullà G (2018) Quantitative analysis of consequences to masonry buildings interacting with slow-moving landslide mechanisms: a case study. Landslides 15(10):2017–2030. https://doi.org/10.1007/s10346-018-1014-0
Peduto D, Santoro M, Aceto L, Borrelli L, Gullà G (2021) Full integration of geomorphological, geotechnical, A-DInSAR and damage data for detailed geometric-kinematic features of a slow-moving landslide in urban area. Landslides 18(3):807–825. https://doi.org/10.1007/s10346-020-01541-0
Peng L, Peng L, Xu S, Xu S, Hou J, Hou J, Peng J, Peng J (2015) Quantitative risk analysis for landslides: the case of the Three Gorges area, China. Landslides 12(5):943–960. https://doi.org/10.1007/s10346-014-0518-5
Pinyol NM, Alonso EE, Corominas J, Moya J (2012) Canelles landslide: modelling rapid drawdown and fast potential sliding. Landslides 9(1):33–51. https://doi.org/10.1007/s10346-011-0264-x
Radwan F, Alazba AA, Mossad A (2019) Flood risk assessment and mapping using AHP in arid and semiarid regions. Acta Geophys 67(1):215–229. https://doi.org/10.1007/s11600-018-0233-z
Segoni S, Tofani V, Rosi A, Catani F, Casagli N (2018) Combination of rainfall thresholds and susceptibility maps for dynamic landslide hazard assessment at regional scale. Front Earth Sci (Lausanne) 6. https://doi.org/10.3389/feart.2018.00085
Soulie M, Montes P, Silvestri V (1990) Modelling spatial variability of soil parameters[J]. Canadian Geotechnical Journal 27(5):617–630
Uzielli M, Catani F, Tofani V, Casagli N (2014) Risk analysis for the Ancona landslide—II: estimation of risk to buildings. Landslides 12(1):83–100. https://doi.org/10.1007/s10346-014-0477-x
Uzielli M, Catani F, Tofani V, Casagli N (2015) Risk analysis for the Ancona landslide—II: estimation of risk to buildings. Landslides 12(1):83–100. https://doi.org/10.1007/s10346-014-0477-x
Vranken L, Van Turnhout P, Van Den Eeckhaut M, Vandekerckhove L, Poesen J (2013) Economic valuation of landslide damage in hilly regions: a case study from Flanders, Belgium. Sci Total Environ 447:323–336. https://doi.org/10.1016/j.scitotenv.2013.01.025
Wang Y, Tang Y, Cao Y, Li DY, Wang W (2014) Study on the velocity of partially submerged landslide. J Eng Sci Technol Rev 7(3):62–67. https://doi.org/10.25103/jestr.073.10
Wang P, Han L, Yu T, Meng C (2016a) Effects of landslide generated impulse waves on ship impact force for pile wharf. Journal of Harbin Engineering University 37(06):878–884
Wang W, Chen G, Yin K, Wang Y, Zhou S, Liu Y (2016b) Modeling of landslide generated impulsive waves considering complex topography in reservoir area. Environ Earth Sci 75:372
Wang F, Yin K, Gui L, Chen L (2018) Risk analysis on individual reservoir bank landslide and its generated wave. Earth Sci 43(3):899–909. https://doi.org/10.3799/dqkx.2018.910
Wang Y, Qin Z, Liu X, Li L (2019) Probabilistic analysis of post-failure behavior of soil slopes using random smoothed particle hydrodynamics. Eng Geol 261:105266. https://doi.org/10.1016/j.enggeo.2019.105266
Wu Y, Cheng C, He G, Zhang Q (2014) Landslide stability analysis based on random-fuzzy reliability: taking Liangshuijing landslide as a case. Stoch Env Res Risk Assess 28(7):1723–1732. https://doi.org/10.1007/s00477-013-0831-x
Xiao L, Ward SN, Wang J (2015a) Tsunami squares approach to landslide-generated waves: application to Gongjiafang landslide, Three Gorges Reservoir, China. Pure Appl Geophys 172(12):3639–3654. https://doi.org/10.1007/s00024-015-1045-6
Xiao L, Ward SN, Wang J, Rabinovich AB, Geist EL, Fritz HM, Borrero JC (2015b) Tsunami squares approach to landslide-generated waves: application to Gongjiafang landslide, Three Gorges Reservoir, China. Pure Appl Geophys 172(12):3639–3654. https://doi.org/10.1007/s00024-015-1045-6
Xiao L, Wang J, Ward SN, Chen L (2018) Numerical modeling of the June 24, 2015, Hongyanzi landslide generated impulse waves in Three Gorges Reservoir, China. Landslides 15(12):2385–2398. https://doi.org/10.1007/s10346-018-1057-2
Xu W, Zhou Q, Dong X (2022) SPH–DEM coupling method based on GPU and its application to the landslide tsunami. Part II: reproduction of the Vajont landslide tsunami. Acta Geotech 17(6):2121–2137. https://doi.org/10.1007/s11440-021-01387-3
Yang B, Yin K, Lacasse S, Liu Z (2019) Time series analysis and long short-term memory neural network to predict landslide displacement. Landslides 16(4):677–694. https://doi.org/10.1007/s10346-018-01127-x
Yin K, Liu Y, Wang Y, Jiang Z (2012) Physical model experiments of landslide-induced surge in Three Gorges Reservoir. Earth Sci J China Univ Geosci 37(05):1067–1074. https://doi.org/10.3799/dqkx.2012.13
Zeng T, Jiang H, Liu Q, Yin K (2022a) Landslide displacement prediction based on variational mode decomposition and MIC-GWO-LSTM model. Stoch Env Res Risk Assess. https://doi.org/10.1007/s00477-021-02145-3
Zeng T, Yin K, Jiang H, Liu X, Guo Z, Peduto D (2022b) Groundwater level prediction based on a combined intelligence method for the Sifangbei landslide in the Three Gorges Reservoir Area. Sci Rep. https://doi.org/10.1038/s41598-022-14037-9
Zêzere JL, Zêzere JL, Oliveira SC, Oliveira SC, Garcia RAC, Garcia RAC, Reis E, Reis E (2007) Landslide risk analysis in the area North of Lisbon (Portugal): evaluation of direct and indirect costs resulting from a motorway disruption by slope movements. Landslides 4(2):123–136. https://doi.org/10.1007/s10346-006-0070-z
Zhang Z, Qian M, Wei S, Chen J (2018) Failure mechanism of the Qianjiangping slope in Three Gorges Reservoir area, China. Geofluids 2018:1–12. https://doi.org/10.1155/2018/3503697
Zhou C, Yin K, Cao Y, Bayes A (2016) Application of time series analysis and PSO-SVM model in predicting the Bazimen landslide in the Three Gorges Reservoir. Eng Geol Eng Geol 204:108–120. https://doi.org/10.1016/j.enggeo.2016.02.009
Acknowledgements
We wish to thank the Geo-Environmental Monitoring Office of Wanzhou District and Housing and the Nanjiang Hydrogeological Team of Chongqing Geology Exploring Bureau for their assistance.
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This research was funded by the National Natural Science Foundation of China (No. 4187752) and the National Natural Science Foundation of China (No. 41601563).
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Writing—original draft preparation: Taorui Zeng. Writing—review and editing: Kunlong Yin, Lei Gui, Dario Peduto. Methodology: Zizheng Guo, Ye Li. Investigation: Liyang Wu. All authors have read and agreed to the published version of the manuscript.
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Zeng, T., Yin, K., Gui, L. et al. Quantitative risk assessment of the Shilongmen reservoir landslide in the Three Gorges area of China. Bull Eng Geol Environ 82, 214 (2023). https://doi.org/10.1007/s10064-023-03242-z
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DOI: https://doi.org/10.1007/s10064-023-03242-z