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Numerical simulation of the Qulong Paleolandslide Dam event in the late pleistocene using the finite volume type shallow water model

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Abstract

The Qulong paleolandslide dam event lies in the Benzilan-Batang zone of the upper Jinsha River. The Jinsha River is one of the most extensive water resources in southwest China. Here, the geological environment is complex, and the tectonic activity is intense. Thus, landslide dam events occur frequently, forming large barrier lakes. Analyzing and understanding these events is vital to ensure the safe development and utilization of land and water resources in the Jinsha River valley. In this study, the Qulong paleolandslide dam event, which formed a large barrier lake, is analyzed in detail. The topographic and grain-size analyses of the barrier lake's Qulong gully and lacustrine sediments imply that the Qulong paleolandslide occurred during the last interglacial period. The instability of moraine in the source area caused the landslide dam event that forms a rapid landslide and then transformed into a high-speed clastic flow. Historical data indicate that more than 90% of barrier lakes along the Jinsha are earthquake-triggered landslides, so the relationship between magnitude and epicenter distance of earthquake that induced the Qulong paleolandslide are calculated by Newmark method. The SFLOW software has been used to examine the post-failure evolution and movement characteristics of the Qulong paleolandslide. The results show that the speed of clastic flow reaches 41 m/s or so, and the clastic flow blocks the ancient Jinsha River channel whose thickness reaches 100 m or so, the largest up to 111 m, and its length is more than 4.5 km. Moreover, the high-speed clastic flow runs over the front of the Yinduba platform.

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References

  • Aleotti P, Chowdhury R (1999) Landslide hazard assessment: summary review and new perspectives. Bull Eng Geol Environ 58:21–44

    Google Scholar 

  • Bao Y, Han X, Chen J, Zhang W, Zhan J, Sun X, Chen M (2019) Numerical assessment of failure potential of a large mine waste dump in Panzhihua City, China. Eng Geol 253:171–183

    Google Scholar 

  • Bao Y, Zhai S, Chen J, Xu P, Sun X, Zhan J, Zhang W, Zhou X (2020) The evolution of the Samaoding paleolandslide river blocking event at the upstream reaches of the Jinsha River Tibetan Plateau. Geomorphology 351:106970

    Google Scholar 

  • Cao C, Wang Q, Chen J, Ruan Y, Zheng L, Song S, Niu C (2016) Landslide susceptibility mapping in vertical distribution law of precipitation area: Case of the Xulong hydropower station reservoir. Southwestern China Water 8:270

    Google Scholar 

  • Chang Z (2015) Seismotectonic background of the 2013 benzilan M5. 9 earthquake, Yunnan Province[J]. Dizhen Dizhi 37(1):192–207

    Google Scholar 

  • Chen HX, Zhang LM, Zhang S et al (2013a) Hybrid simulation of the initiation and runout characteristics of a catastrophic debris flow. J Mt Sci 10(2):219–232

    Google Scholar 

  • Chen J, Dai F, Lv T et al (2013b) Holocene landslide-dammed lake deposits in the Upper Jinsha River, SE Tibetan Plateau and their ages. Quatern Int 298:107–113

    Google Scholar 

  • Chen J, Cui Z, Liu C et al (2019) Meso/Micro-texture analysis of the landslide-dam outburst sediments in the Upper Jinsha River SE Tibetan Plateau[J]. Geologia Croatica 72:81–91

    Google Scholar 

  • Fei X, Shu A (2004) Movement mechanism and disaster control for debris flow. Tsinghua University Press, Beijing (In Chinese)

    Google Scholar 

  • Fell R, Corominas J, Bonnard C et al (2008) Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Eng Geol 102:85–98

    Google Scholar 

  • Ge Y, Cui P, Guo X et al (2013) Characteristics, causes and mitigation of catastrophic debris flow hazard on 21 July 2011 at the Longda watershed of Songpan County, China. J Mt Sci 10:261–272

    Google Scholar 

  • Han X, Chen J, Xu P, Niu C, Zhan J (2018) Runout analysis of a potential debris flow in the dongwopu gully based on awell-balanced numerical model over complex topography. Bull Eng Geol Env 77(2):679–689

    Google Scholar 

  • Hu K, Mingham C, Causon D (2000) Numerical simulation of wave overtopping of coastal structures using the non-linear shallow water equations. Coast Eng 41(4):433–465

    Google Scholar 

  • Hu X, Luo G, Lv X, Huang R, Shi Y (2011) Analysis on dam-breaking mode of tangjiashan barrier dam in beichuan county. J MT Sci-Engl 8(2):354–362

    Google Scholar 

  • Jibson R (2007) Regression models for estimating coseismic landslide displacement. Eng Geol 91(2):209–218

    Google Scholar 

  • Jibson R, Harp EL, Michael JA (2000) A method for producing digital probabilistic seismic landslide hazard maps. Eng Geol 58(3–4):271–289

    Google Scholar 

  • Krumbein W (1936) Application of logarithmic moments to size frequency distribution of sediments. J Sediment Res 6(1):35–47

    Google Scholar 

  • Kumar A, Asthana A, Priyanka R et al (2017) Assessment of landslide hazards induced by extreme rainfall event in jammu and kashmir himalaya, northwest india. Geomorphology 284(May1):72–87

    Google Scholar 

  • Li M, Sung R, Dong J et al (2011) The formation and breaching of a short-lived landslide dam at Hsiaolin Village, Taiwan — part II: simulation of debris flow with landslide dam breach. Eng Geol 123:60–71

    Google Scholar 

  • Li Y, Zhang S, Zhang X (2018) Classification and fractal characteristics of coal rock fragments under uniaxial cyclic loading conditions. J Geosci. https://doi.org/10.1007/s12517-018-3534-2

    Article  Google Scholar 

  • Liang Q (2010) Flood simulation using a well-balanced shallow flow model. J Hydraul Eng 136(9):669–675

    Google Scholar 

  • Liao Q, Yang Z, Shang Y, Zhang L (2004) Back analysis of slip surface of the 102 landslide on sichuan-tibet highway. Chin J Rock Mech Eng 23(24):4119–4123

    Google Scholar 

  • Ma J, Chen J, Cui Z, et al. (2017) Sedimentary evidence of outburst deposits induced by the Diexi paleolandslide-dammed lake of the upper Minjiang River in China[J]. Quaternary International, 464.

  • Oded K, Onn C (2007) The geotechnical effects of long human habitation(2000<years): Earthquake induced landslide hazard in the cityof Zefat, northern Israe. Eng Geol 95(3–4):57–78

    Google Scholar 

  • 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-UK 52(1):1–10

    Google Scholar 

  • Ouyang C, Zhou K, Xu Q, Yin J, Peng D, Wang D, Li W (2016) Dynamic analysis and numerical modeling of the 2015 catastrophic landslide of the construction waste landfill at Guangming, Shenzhen, China. Landslides 14:705–718

    Google Scholar 

  • Qin Z, Fu H, Chen X (2019) A study on altered granite meso-damage mechanisms due to water invasion-water loss cycles Environmental Earth Sciences 78

  • Rickenmann D, Laigle D, McardellBW HJ (2006) Comparison of 2d debris-flow simulation models with field events. Comput Geosci 10(2):241–264

    Google Scholar 

  • Saha A, GuptaSarkar RPI et al (2005) An approach for GIS-based statistical landslide susceptibility zonation—With a case study in the himalayas. Landslides 2:61–69

    Google Scholar 

  • Schuster R, Costa J (1986) Effects of landslide damming on hydroelectric projects. Proceeding Fifth Int Association of Eng Geol 1295–1307.

  • Schuster R, Costa J (1986a) A perspective on landslide dams. Processes, Risk, and Mitigation. ASCE 1986:1–20

    Google Scholar 

  • Shi Y (2002) A suggestion to improve the chronology of quaternary glaciations in china. J Glaciol Geocryol 24(6):687–692

    Google Scholar 

  • Socquet A, Pubellier M (2005) Cenozoic deformation in western Yunnan (China–Myanmar border). J Asian Earth Sci 24(4):495–515

    Google Scholar 

  • Sun X, Chen J, Bao Y et al (2018) Landslide susceptibility mapping using logistic regression analysis along the jinsha river and its tributaries close to derong and deqin county, southwestern china. ISPRS Int J Geo-Inf 7(11):438

    Google Scholar 

  • Sun X, Chen J, Bao Y et al (2019a) Flash flood schlep ability estimation in vertical distribution law of the precipitation area: a case of Xulong gully. Southwest China Arab J Geosci 12:279

    Google Scholar 

  • Sun X, Chen J, Bao Y et al. (2019b) Application of a GIS-based slope unit method for landslide susceptibility mapping along the rapidly uplifting section of the upper Jinsha River, South-Western China. Bulletin of Engineering Geology and the Environment.

  • Tang D (2014) The numerical simulation study on the debris-flow in different frequency base on FLO-2D. Chengdu Univerisity of Technology, Master's thesis.

  • Wang E, Burchfiel B (2000) Late cenozoic to holocene deformation in southwestern sichuan and adjacent yunnan, china, and its role in formation of the southeastern part of the tibetan plateau. Geol Soc Am Bul 112(3):413–423

    Google Scholar 

  • Wang J, Li S, Li L et al (2019a) Attribute recognition model for risk assessment of water inrush. Bull Eng Geol Env 78:1057–1071. https://doi.org/10.1007/s10064-017-1159-4

    Article  Google Scholar 

  • Wang W, Yin K, Chen G et al (2019b) Practical application of the coupled DDA-SPH method in dynamic modeling for the formation of landslide dam. Landslides 16(5):1021–1032

    Google Scholar 

  • Wechsler N, Katz O, Dray Y et al (2009) (2009) Estimating location and size of historical earthquake by combining archaeology and geology in Umm-El-Qanatir, Dead Sea Transform[J]. Nat Hazards 50(1):27–43

    Google Scholar 

  • Wu Y, Liu K, Chen Y (2013) Comparison between FLO-2D and Debris-2D on the application of assessment of granular debris flow hazards with case study. J Mt Sci 10(2):293–304

    Google Scholar 

  • Wu N, Chen C, Tsay T (2016) Application of weighted-least-square local polynomial approximation to 2d shallow water equation problems. Eng Anal Bound Elem 68:124–134

    Google Scholar 

  • Wu F, Jiang L, Zhang G, Song Z (2019) The fault activity and seismic hazard assessment of central north segment of the Deqin-Zhongdian fault,southeastern Qinghai-Tibet plateau[J]. Acta Geologica Sinica. (In Chinese).

  • Xiang S, Wang A, Wang G et al (2013) Quaternary geology and geomorphology map and description of qinghai-tibet plateau and adjacent areas: 1:3000000. China university of geosciences press, Wuhan ((in Chinese))

    Google Scholar 

  • Xie Y (1996) Quaternary geology and geomorphology. Geology Press, Beijing ((in Chinese))

    Google Scholar 

  • Yuan G (2009). Engineering geological properties and stability analysis of moraine debris slopes in palong river drainage area along sichuan-tibet highway. Journal of Engineering Geology.

  • Zhang P, Ma J, Shu H, Han T, Zhang Y (2015a) Simulating debris flow deposition using a two-dimensional finite model and soil conservation service-curve number approach for Hanlin gully of southern Gansu (China). Environ Earth Sci 73(10):6417–6426

    Google Scholar 

  • Zhang W, Wang Q, Chen J et al (2015b) Grain-size analysis of debris flow alluvial fans in Panxi area along Jinsha River. China Sustainability 7(11):15219–15242

    Google Scholar 

  • Zhang S, Li Y, Shen B, Sun X, Gao L (2019) Effective evaluation of pressure relief drilling for reducing rock bursts and its application in underground coal mines. Int J Rock Mech Min Sci 114:7–16

    Google Scholar 

  • Zhao T, Dai F, Xu N (2017) Coupled DEM-CFD investigation on the formation of landslide dams in narrow rivers. Landslides 14(1):189–201

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank the editor and anonymous reviewers for their comments and suggestions which helped a lot in making this paper better.

Funding

This research was financially supported by the National Natural Science Foundation of China (Grant No. 41941017, U1702241), the National Key Research and Development Plan (Grant No. 2018YFC1505301), the National Natural Science Foundation of China (Grant No. 41807227), and the China Postdoctoral Science Foundation Funded Project (Grant No. 2017M621212).

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Xiaohui Sun contributed to data analysis and manuscript writing. Xudong Han, Jianping Chen, Yiding Bao and Wei Peng proposed the main structure of this study. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Jianping Chen.

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The data that support the finding this study are available from the corresponding author upon reasonable request.

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The SFLOW software that support the finding this study are available from the corresponding author upon reasonable request.

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Sun, X., Han, X., Chen, J. et al. Numerical simulation of the Qulong Paleolandslide Dam event in the late pleistocene using the finite volume type shallow water model. Nat Hazards 111, 439–464 (2022). https://doi.org/10.1007/s11069-021-05060-6

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