Abstract
In tectonically active steep mountain belts, such as those in west Sichuan in China, frequent landslide disasters can occur during the rainy season. High-locality landslides often initiate with the failure of fractured rock masses or regolith near the ridge of a high and steep slope. Often, these events occur suddenly in the sense that people downslope are caught by surprise. High-locality landslides can be destructive owing to the large momentum and entrainment potential of the moving mass. Increasing attention has been given to these events since the 2008 Wenchuan earthquake. Indeed, slope ridges are particularly susceptible of topographic amplification of the seismic shaking, resulting in mechanical weakening that predisposes them to enhanced weathering and rain-triggered failures years or decades after the mainshock. Risk reduction in such cases must begin with a systematic surveying of the ridges to identify criticalities. Then, quantitative (numerical) approaches must be used to evaluate volumes and describe the movement. Risk assessments can then be produced, and mitigations suggested. Here, we describe the Tonghua landslide in Li County, which is currently in a creeping stage but threatens critical infrastructures and dwellings. We monitored the site for 3 years and identified additional potentially unstable areas before performing physically based modeling and hazard zonation. Our results could be useful in decision-making for risk reduction.
References
Cascini L, Cuomo S, Pastor M, Sorbino G, Piciullo L (2014) SPH run-out modelling of channelised landslides of the flow type. Geomorphology 214:502–513. https://doi.org/10.1016/j.geomorph.2014.02.031
Chae BG, Park HJ, Catani F, Simoni A, Berti M (2017) Landslide prediction, monitoring and early warning: a concise review of state-of-the-art. Geosci J 21(6):1033–1070. https://doi.org/10.1007/s12303-017-0034-4
Cui P, Zou Q, Xiang LZ, Zeng C (2013) Risk assessment of simultaneous debris flows in mountain townships. Prog Phys Geogr 37(4):516–542. https://doi.org/10.1177/0309133313491445
Cui Y, Deng J, Xu C (2018) Volume estimation and stage division of the Mahu landslide in Sichuan Province, China. Nat Hazards 93(2):941–955. https://doi.org/10.1007/s11069-018-3334-8
Denlinger RP, Iverson RM (2001) Flow of variably fluidized granular masses across three-dimensional terrain: 2. Numerical predictions and experimental tests. J Geophys Res Solid Earth 106(B1):553–566. https://doi.org/10.1029/2000jb900330
Eker R, Aydin A, Hubl J (2017) Unmanned aerial vehicle (UAV)-based monitoring of a landslide: Gallenzerkogel landslide (Ybbs-Lower Austria) case study. Environ Monit Assess 190(1):28. https://doi.org/10.1007/s10661-017-6402-8
Fan X, Xu Q, Scaringi G (2018) Brief communication: post-seismic landslides, the tough lesson of a catastrophe. Nat Hazard 18(1):397–403
Fan X, Xu Q, Scaringi G, Dai L, Li W, Dong X, Zhu X, Pei X, Dai K, Havenith HB (2017) Failure mechanism and kinematics of the deadly June 24th 2017 Xinmo landslide, Maoxian, Sichuan, China. Landslides 14(6):2129–2146. https://doi.org/10.1007/s10346-017-0907-7
Gao Y, Li B, Gao H, Chen L, Wang Y (2020) Dynamic characteristics of high-elevation and long-runout landslides in the Emeishan basalt area: a case study of the Shuicheng “7.23”landslide in Guizhou, China. Landslides 17(7):1663–1677. https://doi.org/10.1007/s10346-020-01377-8
Hu W, Scaringi G, Xu Q, Huang R (2018) Acoustic emissions and microseismicity in granular slopes prior to failure and flow‐like motion: the potential for early warning. Geophys Res Lett 45(19):10,406-410,415. https://doi.org/10.1029/2018gl079724
Hungr O (1995) A model for the runout analysis of rapid flow slides, debris flows, and avalanches. Can Geotech J 32(4):610–623
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
Iverson RM, Ouyang C (2015) Entrainment of bed material by Earth-surface mass flows: review and reformulation of depth-integrated theory. Rev Geophys 53(1):27–58. https://doi.org/10.1002/2013rg000447
Karahan M, Ersoy H, Akgun A (2020) A 3D numerical simulation-based methodology for assessment of landslide-generated impulse waves: a case study of the Tersun Dam reservoir (NE Turkey). Landslides. https://doi.org/10.1007/s10346-020-01440-4
Lacroix P, Handwerger AL, Bièvre G (2020) Life and death of slow-moving landslides. Nat Rev Earth Environ 1(8):404–419. https://doi.org/10.1038/s43017-020-0072-8
Lo CM, Lee CF, Chou HT, Lin ML (2013) Landslide at Su-Hua Highway 115.9k triggered by Typhoon Megi in Taiwan. Landslides 11(2):293–304. https://doi.org/10.1007/s10346-013-0435-z
McDougall S, Hungr O (2004) A model for the analysis of rapid landslide motion across three-dimensional terrain. Can Geotech J 41(6):1084–1097. https://doi.org/10.1139/t04-052
Meier C, Jaboyedoff M, Derron M-H, Gerber C (2020) A method to assess the probability of thickness and volume estimates of small and shallow initial landslide ruptures based on surface area. Landslides. https://doi.org/10.1007/s10346-020-01347-0
Ouyang CJ, Zhao W, He SM, Wang DP, Zhou S, An HC, Wang ZW, Cheng D (2017) Numerical modeling and dynamic analysis of the 2017 Xinmo landslide in Maoxian County, China. J Mt Sci 14(9):1701–1711. https://doi.org/10.1007/s11629-017-4613-7
Ouyang C, He S, Xu Q, Luo Y, Zhang W (2013) A MacCormack-TVD finite difference method to simulate the mass flow in mountainous terrain with variable computational domain. Comput Geosci 52:1–10
Ouyang C, Wang Z, An H, Liu X, Wang D (2019a) An example of a hazard and risk assessment for debris flows—A case study of Niwan Gully, Wudu, China. Eng Geol 263. https://doi.org/10.1016/j.enggeo.2019.105351
Ouyang C, Zhao W, An H, Zhou S, Wang D, Xu Q, Li W, Peng D (2019b) Early identification and dynamic processes of ridge-top rockslides: implications from the Su Village landslide in Suichang County, Zhejiang Province, China. Landslides 16(4):799–813. https://doi.org/10.1007/s10346-018-01128-w
Ouyang C, Zhao W, Xu Q, Peng D, Li W, Wang D, Zhou S, Hou S (2018) Failure mechanisms and characteristics of the 2016 catastrophic rockslide at Su village, Lishui, China. Landslides 15(7):1391–1400. https://doi.org/10.1007/s10346-018-0985-1
Pastor M, Blanc T, Haddad B, Petrone S, Sanchez Morales 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
Pastor M, Haddad B, Sorbino G, Cuomo S, Drempetic V (2009) A depth-integrated, coupled SPH model for flow-like landslides and related phenomena. Int J Numer Anal Methods Geomech 33(2):143–172. https://doi.org/10.1002/nag.705
Perera ENC, Jayawardana DT, Jayasinghe P, Ranagalage M (2019) Landslide vulnerability assessment based on entropy method: a case study from Kegalle district, Sri Lanka. J Adv Model Earth Syst 5(4):1635–1649. https://doi.org/10.1007/s40808-019-00615-w
Pirasteh S, Shamsipour G, Liu G, Zhu Q, Chengming YE (2020) A new algorithm for landslide geometric and deformation analysis supported by digital elevation models. Earth Sci Inform. https://doi.org/10.1007/s12145-019-00437-5
Reid ME, Godt JW, LaHusen RG, Slaughter SL, Badger TC, Collins BD, Schulz WH, Baum RL, Coe JA, Harp EL, Schmidt KM, Iverson RM, Smith JB, Haugerud RA, George DL (2021) When hazard avoidance is not an option: lessons learned from monitoring the postdisaster Oso landslide, USA. Landslides 18(9):2993–3009. https://doi.org/10.1007/s10346-021-01686-6
Rossi G, Tanteri L, Tofani V, Vanocci P, Moretti S, Casagli N (2018) Multitemporal UAV surveys for landslide mapping and characterization. Landslide 15(5):1045–1052. https://doi.org/10.1007/s10346-018-0978-0
Salvatici T, Morelli S, Pazzi V, Prodella W, Fanti R (2017`) Debris flow hazard assessment by means of numerical simulations: implications for the Rotolon creek valley (Northern Italy). J Mt Sci 14(4):636–648. https://doi.org/10.1007/s11629-016-4197-7
Savage H (1989) The motion of a finite mass of granular material down a rough incline. J Fluid Mech 199
Scaringi G, Fan X, Xu Q, Liu C, Ouyang C, Domenech G, Yang F, Dai L (2018) Some considerations on the use of numerical methods to simulate past landslides and possible new failures: the case of the recent Xinmo landslide (Sichuan, China). Landslides 15(7):1359–1375. https://doi.org/10.1007/s10346-018-0953-9
Shano L, Raghuvanshi TK, Meten M (2020) Landslide susceptibility evaluation and hazard zonation techniques – a review. Geoenviron Dis 7(1). https://doi.org/10.1186/s40677-020-00152-0
Sosio R, Crosta GB, Hungr O (2008) Complete dynamic modeling calibration for the Thurwieser rock avalanche (Italian Central Alps). Engineering Geology 100(1–2):11–26. https://doi.org/10.1016/j.enggeo.2008.02.012
Tang CL, Hu JC, Lin ML, Angelier J, Lu CY, Chan YC, Hu HT (2009) The Tsaoling landslide triggered by the Chi-Chi earthquake, Taiwan: insights from a discrete element simulation. Eng Geol 106(1–2):1–19. https://doi.org/10.1016/j.enggeo.2009.02.011
Tang C, Tang J, van Westen CJ, Han J, Mavrouli O, Tang C (2020) Modeling landslide failure surfaces by polynomial surface fitting. Geomorphology. https://doi.org/10.1016/j.geomorph.2020.107358
Vasu NN, Lee SR, Lee DH, Park J, Chae BG (2018) A method to develop the input parameter database for site-specific debris flow hazard prediction under extreme rainfall. Landslides 15(8):1523–1539. https://doi.org/10.1007/s10346-018-0971-7
Wang D, Liu M, Zhu X, Ma H, Cheng Q, Zhu M, Chen Z, Ouyang C (2019a) Failure mechanisms and deformation processes of a high-locality landslide at Tonghua Town, Li County, China, 2017. Landslides. https://doi.org/10.1007/s10346-019-01260-1
Wang D, Liu M, Zha X, Ma H, Cheng Q, Zhu M, Chen Z, Ouyang C (2019b) Failure mechanisms and deformation processes of a high-locality landslide at Tonghua Town, Li County, China, 2017. Landslides 17(1):165–177. https://doi.org/10.1007/s10346-019-01260-1
Wang D, Wang Z, Li Y, Fan T, Ouyang C, Ji F (2020) Characteristics and dynamic process analysis of the 2018 Mabian consequent landslide in Sichuan Province, China. Bull Eng Geol Environ. https://doi.org/10.1007/s10064-020-01784-0
Xing A, Wang G, Li B, Jiang Y, Feng Z, Kamai T (2014) Long-runout mechanism and landsliding behaviour of large catastrophic landslide triggered by heavy rainfall in Guanling, Guizhou China. Can Geotech J 52(7):971–981
Xing AG, Wang G, Yin YP, Jiang Y, Wang GZ, Yang SY, Dai DR, Zhu YQ, Dai JA (2014b) Dynamic analysis and field investigation of a fluidized landslide in Guanling, Guizhou, China. Eng Geol 181:1–14. https://doi.org/10.1016/j.enggeo.2014.07.022
Zhao L, Liu X, Mao J, Shao L, Li T (2019) Three-dimensional distance potential discrete element method for the numerical simulation of landslides. Landslides 17(2):361–377. https://doi.org/10.1007/s10346-019-01282-9
Zhu Y, Xu S, Zhuang Y, Dai X, Lv G, Xing A (2019) Characteristics and runout behaviour of the disastrous 28 August 2017 rock avalanche in Nayong, Guizhou, China. Eng Geol 259. https://doi.org/10.1016/j.enggeo.2019.105154
Zhuang Y, Xing A, Cheng Q, Li D, Zhao C, Xu C (2019) Characteristics and numerical modeling of a catastrophic loess flow slide triggered by the 2013 Minxian–Zhangxian earthquake in Yongguang village, Minxian, Gansu, China. Bull Eng Geol Environ 79(1):439–449. https://doi.org/10.1007/s10064-019-01542-x
Acknowledgements
We wish to thank the anonymous referee for their careful reading and providing insightful comments to improve the initial version of this paper.
Funding
This research was funded by the project supported by the Funds for Creative Research Groups of China (Grant No. 41521002), Natural Science Foundation of China (Grant No. 41877266), the Science Foundation for Distinguished Young Scholars of Sichuan Province (Grant No. 2020JDJQ0044). G. Scaringi received financial support from the Czech Science Foundation (GAČR Grant No. 20-28853Y) and the International mobility of researchers at Charles University (MSCA-IF IV; Grant No. CZ.02.2.69/0.0/0.0/20_079/0017987).
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Wang, D., Li, Y., Wang, Z. et al. Threat from above! Assessing the risk from the Tonghua high-locality landslide in Sichuan, China. Landslides 19, 731–746 (2022). https://doi.org/10.1007/s10346-021-01836-w
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DOI: https://doi.org/10.1007/s10346-021-01836-w