Abstract
The assessment of earthquake-induced landslide hazards is an important prerequisite for disaster prevention and reduction in tectonic active areas. However, few studies have considered the amplification effect of site and topography on ground motion parameters and made the peak ground acceleration (PGA) correction. Based on Newmark's method, taking Litang County, Sichuan Province, China, as the study area, considering the site amplification effect and topographic amplification effect, this paper carried out the assessment of landslide hazards under the action of occasional earthquakes with an exceedance probability of 10% and rare earthquakes with an exceedance probability of 2%. The results show that the hazard of earthquake-induced landslides is higher in the high slopes of loose rock in the middle of Litang County and the steep rock slopes with large topographic relief in the northeast, and low in the southern plateau and central basins. The site and topographic conditions have a significant effect on the nonlinear amplification of PGA, and the corrected PGA is even magnified by 2–3 times in steep mountains. Compared with the occasional earthquakes, the influence of rare earthquakes on the initiation and movement distance of landslides is remarkably improved. This study can provide a valuable reference for potential earthquake-induced landslide hazard assessment and seismic landslide emergency response in Litang County.
Similar content being viewed by others
Data availability
The data used to support the findings of this study are available from the corresponding author upon request.
References
Bojadjieva J, Sheshov V, Bonnard C (2018) Hazard and risk assessment of earthquake induced landslides- case study. Landslides 15(1):161–171. https://doi.org/10.1007/s10346-017-0905-9
Caccavale M, Matano F, Sacchi M (2017) An integrated approach to earthquake-induced landslide hazard zoning based on probabilistic seismic scenario for Phlegrean Islands (Ischia, Procida and Vivara), Italy. Geomorphology 295:235–259. https://doi.org/10.1016/j.geomorph.2017.07.010
Chen XL, Liu CG, Yu L, Lin CX (2014) Critical acceleration as a criterion in seismic landslide susceptibility assessment. Geomorphology 217:15–22. https://doi.org/10.1016/j.geomorph.2014.04.011
Chen SY, Liu PX, Guo YS, Liu LQ, Ma J (2019) Co-seismic response of bedrock temperature to the Ms63 Kangding earthquake on 22 november 2014 in Sichuan China. Pure Appl Geophys 176(1):97–117. https://doi.org/10.1007/s00024-018-1933-7
Chen ZW, Huang DR, Wang G (2023) A regional scale coseismic landslide analysis framework: integrating physics-based simulation with flexible sliding analysis. Eng Geol 315:107040. https://doi.org/10.1016/j.enggeo.2023.107040
China Earthquake Administration (2015) General Administration of quality supervision inspection and quarantine of the PRC. Seismic ground motion parameters zonation map of China. Beijing: China Standards Publishing House, GB18306–2015 (In Chinese)
Choi Y, Stewart JP (2005) Nonlinear site amplification as function of 30 m shear wave velocity. Earthq Spectra 21:1–30. https://doi.org/10.1193/1.1856535
Dreyfus D, Rathje EM, Jibson RW (2013) The influence of different simplified sliding-block models and input parameters on regional predictions of seismic landslides triggered by the Northridge earthquake. Eng Geol 163:41–54. https://doi.org/10.1016/j.enggeo.2013.05.015
Fan XM, Scaring G, Xu Q, Zhan WW, Dai LX, Li YS, Pei XJ, Yang Q, Huang RQ (2018) Coseismic landslides triggered by the 8th august 2017 Ms 7.0 Jiuzhaigou earthquake (Sichuan, China): factors controlling their spatial distribution and implications for the seismogenic blind fault identification. Landslides 15(5):967–983. https://doi.org/10.1007/s10346-018-0960-x
Feng KW, Huang DR, Wang G, Jin F, Chen ZW (2022) Physics-based large-deformation analysis of coseismic landslides: a multiscale 3D SEM-MPM framework with application to the Hongshiyan landslide. Eng Geol 297:106487
Ferrario MF (2019) Landslides triggered by multiple earthquakes: insights from the 2018 Lombok (Indonesia) events. Nat Hazards 98(2):575–592. https://doi.org/10.1007/s11069-019-03718-w
Han X, Yin YH, Wu YM, Wu SH (2021) Risk assessment of population loss posed by earthquake-landslide-debris flow disaster chain: a case study in Wenchuan China. Int J Geo Inf 10(6):363. https://doi.org/10.3390/ijgi10060363
Harp EL, Jibson RW (1996) Landslides triggered by the 1994 Northridge, California earthquake. Bull Seismol Soc Am 86(1B):S319–S332
He DF, Lu RQ, Huang HY, Wang XS, Jiang H, Zhang WK (2019) Tectonic and geological setting of the earthquake hazards in the Changning shale gas development zone, Sichuan basin SW China. Pet Explor Dev 46(5):1051–1064. https://doi.org/10.1016/S1876-3804(19)60262-4
Higman B, Shugar DH, Stark CP, Ekstrom G, Koppes MN, Lynett P, Dufresne A, Haeussler PJ, Geertsema M, Gulick S, Mattox A, Venditti JG, Walton MAL, McCall N, Mckittrick E, Maclnnes B, Bilderback EL, Tang H, Willis MJ, Richmond B, Reece RS, Larsen C, Olson B, Capra J, Ayca A, Bloom C, Williams H, Bonno D, Weiss R, Keen A, Skanavis V, Loso M (2018) The 2015 landslide and tsunami in Taan Fiord Alaska. Sci Rep 8(1):12993. https://doi.org/10.1038/s41598-018-30475-w
Huang DR, Wang G, Du CY, Jin F, Feng KW, Chen ZW (2020) An integrated SEM-Newmark model for physics-based regional coseismic landslide assessment. Soil Dyn Earthq Eng 132:106066. https://doi.org/10.1016/j.soildyn.2020.106066
Jibson RW (2007) Regression models for estimating coseismic landslide displacement. Eng Geol 91(2):209–218. https://doi.org/10.1016/j.enggeo.2007.01.013
Jibson RW (2011) Methods for assessing the stability of slopes during earthquakes - a retrospective. Eng Geol 122(1–2):43–50. https://doi.org/10.1016/j.enggeo.2010.09.017
Lee VW (1984) Three-dimensional diffraction of plane P, SV and SH waves by a hemispherical alluvial valley. Int J Soil Dyn Earthq Eng 3(3):133–144
Li C, Su LJ (2021) Influence of critical acceleration model on assessments of potential earthquake–induced landslide hazards in Shimian county, Sichuan Province. China Landslides 18(5):1659–1674. https://doi.org/10.1007/s10346-020-01578-1
Liao HM, Yang XG, Xu FG, Xu H, Zhou JW (2018) A fuzzy comprehensive method for the risk assessment of a landslide- dammed lake. Environ Earth Sci 77(22):750. https://doi.org/10.1007/s12665-018-7946-9
Lombardo G, Rigano R (2007) Local seismic response in Catania (Italy): a test area in the northern part of the town. Eng Geol 94(1–2):38–49. https://doi.org/10.1016/j.enggeo.2007.06.008
Maufroy E, Cruz-Atienza VM, Cotton F, Gaffet S (2015) Frequency-scaled curvature as a proxy for topographic site-effect amplification and ground-motion variability. Bull Seismol Soc Am 105(1):354–367. https://doi.org/10.1785/0120140089
Nayek PS, Gade M (2022) Artificial neural network-based fully data-driven models for prediction of newmark sliding displacement of slopes. Neural Comput Appl 34(11):9191–9203. https://doi.org/10.1007/s00521-022-06945-8
Newmark NM (1965) Effects of earthquakes on dams and embankments. Geotechnique 15(2):139–160
Panzera F, Lombardo G, Monaco C, Di Stefano A (2015) Seismic site effects observed on sediments and basaltic lavas outcropping in a test site of Catania Italy. Nat Hazards 79(1):1–27. https://doi.org/10.1007/s11069-015-1822-7
Paoletti V, Tarallo D, Matano F, Rapolla A (2013) Level-2 susceptibility zoning on seismic-induced landslides: an application to Sannio and Irpinia areas, Southern Italy. Phys Chem Earth 63:147–159. https://doi.org/10.1016/j.pce.2013.02.002
Rollo F, Rampello S (2021) Probabilistic assessment of seismic-induced slope displacements: an application in Italy. Bull Earthq Eng 19(11):4261–4288. https://doi.org/10.1007/s10518-021-01138-5
Shi XG, Jiang LM, Jiang HJ, Wang XD, Xu JH (2021) Geohazards analysis of the Litang-Batang section of Sichuan-tibet railway using SAR interferometry. IEEE J Select Topics Appl Earth Obs Remote Sens 14:11998–12006. https://doi.org/10.1109/JSTARS.2021.3129270
Sivakumar R, Ghosh S (2021) Assessment of the influence of physical and seismotectonic parameters on landslide occurrence: an integrated geoinformatic approach. Nat Hazards 108(3):2765–2811. https://doi.org/10.1007/s11069-021-04800-y
Wang LQ (2013) Geological map and description of Qinghai Tibet Plateau and its adjacent areas. Geological Publishing House, Beijing (In Chinese)
Wang T, Wu SR, Shi JS, Xin P, Wu LZ (2018a) Assessment of the effects of historical strong earthquakes on large-scale landslide groupings in the Wei river midstream. Eng Geol 235:11–19. https://doi.org/10.1016/j.enggeo.2018.01.020
Wang G, Du CY, Huang D, Jin F, Koo RC, Kwan JS (2018b) Parametric models for 3D topographic amplification of ground motions considering subsurface soils. Soil Dyn Earthq Eng 115:41–54. https://doi.org/10.1016/j.soildyn.2018.07.018
Wang YS, Wu LZ, Gu J (2019a) Process analysis of the Moxi earthquake-induced Lantianwan landslide in the Dadu River, China. Bull Eng Geol Env 78(7):4731–4742. https://doi.org/10.1007/s10064-018-01438-2
Wang LM, Wu ZJ, Xia K, Liu K, Wang P, Pu XW, Li L (2019b) Amplification of thickness and topography of loess deposit on seismic ground motion and its seismic design methods. Soil Dyn Earthq Eng 126:105090. https://doi.org/10.1016/j.soildyn.2018.02.021
Wang T, Liu JM, Shi JS, Gao MT, Wu SR (2020) Probabilistic seismic landslide hazard assessment: a case study in Tianshui, Northwest China. J Mt Sci 17(1):173–190. https://doi.org/10.1007/s11629-019-5618-1
Wu ZJ, Zhao DY, Che AL, Chen DW, Liang C (2020) Dynamic response characteristics and failure mode of slopes on the loess tableland using a shaking-table model test. Landslides 17(2):1561–1575. https://doi.org/10.1007/s10346-020-01373-y
Xu XW, Wen XZ, Yu GH, Zheng RZ, Luo HY, Zheng B (2005) Average slip rate, earthquake rupturing segmentation and recurrence behavior on the Litang fault zone, western Sichuan Province, China. Sci China Ser D-Earth Sci 48(8):1183–1196. https://doi.org/10.1360/04yd0072
Xue YG, Kong FM, Yang WM, Qiu DH, Su MX, Du K, Ma XM (2020) Main unfavorable geological conditions and engineering geological problems along Sichuan—Tibet railway. Chin J Rock Mech Eng 36(3):445–468 (In Chinese)
Yang GL, Shen CY, Tan HB, Wang JP (2021) Crustal density structure of the Jiuzhaigou Ms70 earthquake area revealed by the Barkam–Jiuzhaigou–Wuqi gravity profile. Sensors 21:1497. https://doi.org/10.3390/s21041497
Yao QL, Qiang ZJ (2010) The elliptic stress thermal field prior to M-S 7.3 Yutian, and M-S 8.0 Wenchuan earthquakes in China in 2008. Nat Hazards 54(2):307–322. https://doi.org/10.1007/s11069-009-9470-4
Zeng QL, Zhang LQ, Davies T, Yuan GX, Xue XY, Wei RQ, Yin QF, Liao LY (2019) Morphology and inner structure of Luanshibao rock avalanche in Litang, China and its implications for long-runout mechanisms. Eng Geol 260:105216. https://doi.org/10.1016/j.enggeo.2019.105216
Zeng QL, Yuan GX, Davies T, Xu B, Wei RQ, Xue XY, Zhang LQ (2020) Be-10 dating and seismic origin of Luanshibao rock avalanche in SE Tibetan plateau and implications on Litang active fault. Landslides 17(5):1091–1104. https://doi.org/10.1007/s10346-019-01319-z
Zhang Y, Liu CJ, Zhang WT, Jiang FY (2019) Present-day deformation of the Gyaring Co fault zone, Central Qinghai-Tibet plateau, determined using synthetic aperture radar interferometry. Remote Sens 11(1118):1–16. https://doi.org/10.3390/rs11091118
Zhou CJ, Wu ZH, Zhang KQ, Li JC, Jiang Y, Tian TT, Liu YH, Huang XJ (2015) The determination on the earthquake magnitude and formation age of latest surface rupture of Litang active fault in the West Sichuan. Seismol Geol 37(2):455–467 (In Chinese)
Funding
This study was financially supported by the Second Tibetan Plateau Scientific Expedition and Research (STEP) Program (Grant No. 2019QZKK0905), the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (22KJB560013), the National Earthquake Science Joint Foundation of China (No. U1939209), and the Open Fund of State Key Laboratory of Frozen Soil Engineering (Grant No. SKLFSE202009).
Author information
Authors and Affiliations
Contributions
JJ: Conceptualization, Methodology, Software, Formal analysis, Writing—original draft. ZW: Conceptualization, Funding acquisition, Resources, Supervision, Writing—review & editing. CC & WD: Formal analysis. WM: Supervision.
Corresponding author
Ethics declarations
Conflicts of interest
The authors declare that they have no conflicts of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Jing, J., Wu, Z., Chu, C. et al. Prediction of landslide hazards induced by potential earthquake in Litang County, Sichuan, China. Nat Hazards 118, 1301–1314 (2023). https://doi.org/10.1007/s11069-023-06050-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11069-023-06050-6