Skip to main content
SpringerLink
Log in

Influence of critical acceleration model on assessments of potential earthquake–induced landslide hazards in Shimian County, Sichuan Province, China

  • Original paper
  • Published:
Landslides Aims and scope Submit manuscript

Abstract

Critical acceleration is an inherent property of a slope and determines the slope stability under seismic action. The critical acceleration model is a core element of regional seismic landslide hazard assessment. Therefore, the purpose of this paper is to reveal the influence of different critical acceleration models on assessments of potential earthquake–induced landslide hazards. Traditionally, the Newmark critical acceleration model has commonly been used to evaluate the potential earthquake–induced landslide hazard. This method needs to assume the failure depth of the slope, which leads to an underestimation of the predicted displacement of the seismic landslide. Recently, the prediction equations of critical acceleration based on a parametric study of the limit equilibrium method overcomes the limitation of Newmark critical acceleration model and has been applied to assessments of co-seismic landslide hazards. In this study, we use Newmark critical acceleration model and prediction equations of critical acceleration to obtain the distribution maps of potential earthquake–induced landslide hazard in Shimian County, with peak ground acceleration of 10% and 2% exceeding the probability in 50 years. In addition, the nonlinear effect of site and topographic effects on peak ground acceleration were considered. The results show that Newmark critical acceleration model underestimates the area and value of the predicted displacement, while prediction equations of critical acceleration produces seismic landslides in a wider range of mountainous areas. This indicates that the critical acceleration model has a significant influence on assessments of potential earthquake–induced landslide hazards. In addition, the study not only provides valuable reference for assessment of potential earthquake–induced landslide hazard, emergency response of seismic landslides, and land planning in the study area, it also provides a useful demonstration for the selection of a critical acceleration model in seismic landslide hazard assessments for future researches.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3.
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  • Allen TI, Wald DJ (2009) On the use of high-resolution topographic data as a proxy for seismic site conditions (VS30). B Seismol Soc Am 99(99):935–943

    Article  Google Scholar 

  • Ambraseys NN, Menu JM (1988) Earthquake-induced ground displacements. Earthq Eng Struct Dyn 16:985–1006

    Article  Google Scholar 

  • Ambraseys NN, Srbulov M (1994) Attenuation of earthquake-induced ground displacements. Earthq Eng Struct Dyn 23(5):467–487

    Article  Google Scholar 

  • Bhatt N, Pancholi V, Chopra S, Rout MM, Shah RD, Kothyari GCH (2019) Rapid seismic hazard assessment of the Sabarmati River basin in Gujarat State, Western India using GIS techniques. B Eng Geol Enviro 78:3927–3942

    Article  Google Scholar 

  • Bojadjieva J, Sheshov V, Bonnard C (2018) Hazard and risk assessment of earthquake-induced landslides- case study. Landslides 15:161–171

    Article  Google Scholar 

  • Bouckovalas GD, Papadimitriou AG (2005) Numerical evaluation of slope topography effects on seismic ground motion. Soil Dyn Earthq Eng 25(7–10):547–558

    Article  Google Scholar 

  • Bozzano F, Esposito C, Martini G, Martino S, Prestininzi A, Rinaldis D, Romeo RW, Mugnozza GS (2013) Earthquake-reactivated landslide scenarios in Southern Italy based on spectral-matching input analysis. B Earthq Eng 11(6):1927–1948

    Article  Google Scholar 

  • Bray JD, Travasarou T (2007) Simplified procedure for estimating earthquake induced deviatoric slope displacements. J Geotech Geoenviron Eng 133(4):381–392

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • CEN (2004) Eurocode 8: design of structures for earthquake resistance. Part 1: general rules, seismic action and rules for buildings. In: European Committee for Standardization (Comité Européen de Normalisation), European Standard EN 1998–1:2004(E), (231 pp., Brussels)

  • Chang M, Liu Y, Zhou C, Che HX (2019) Hazard assessment of a catastrophic mine waste debris flow of Hou Gully, Shimian China. Eng Geol. https://doi.org/10.1016/j.enggeo.2020.105733

  • Chen XL, Liu CG, Yu L, Lin CX (2014) Critical acceleration as a criterion in seismic landslide susceptibility assessment. Geomorphology 217:15):15–15):22

    Article  Google Scholar 

  • Chen XL, Liu CG, Wang MM (2018) A method for quick assessment of earthquake-triggered landslide hazards: a case study of the Mw6.1 2014 Ludian, China earthquake. Bull Eng Geol Environ 78(4):2449–2458

    Article  Google Scholar 

  • 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

  • Choi Y, Stewart JP (2005) Nonlinear site a mplification as function of 30 m shear wave velocity. Earthquake Spectra 21:1–30

    Article  Google Scholar 

  • Cornell CA (1968) Engineering seismic risk analysis. Bull Seismol Soc Am 58:1503–1606

    Article  Google Scholar 

  • Corominas J, Westen CV, Frattini P, Cascini L, Smith JT (2014) Recommendations for the quantitative analysis of landslide risk. B Eng Geol Environ 73(2):209–263

    Google Scholar 

  • 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

    Article  Google Scholar 

  • Du GL, Zhang YS, Yang ZH, Javed IQBAL, Tong B, Guo CB, Yao X, Wu R (2017) Estimation of seismic landslide hazard in the Eastern Himalayan syntaxis region of Tibetan Plateau. Acta Geol Sin-Engl 91(2):658–668

    Article  Google Scholar 

  • Fan XM, Scaringi G, Xu Q, Zhan W, Dai L, Li Y, Pei X, Yang Q, Huang R (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

    Article  Google Scholar 

  • Fell R, Corominas J, Bonnard C, Cascini L, Savage WZ (2008) Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Eng Geol 102(3–4):85–98

    Article  Google Scholar 

  • Gao MT (2015) Seismic zoning map in China. Standards Press of China, Beijing (in Chinese)

    Google Scholar 

  • Gaudio DV, Wasowski J (2003) Time probabilistic evaluation of seismically induced landslide hazard in Irpinia (Southern Italy). Soil Dyn Earthq Eng 24:915–928

    Article  Google Scholar 

  • General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China, Ministry of construction of the People’s Republic of China (2014) Standard for engineering classification of rock mass. GB/T 50218-2014. Standards Press of China, Beijing (in Chinese)

  • Geological map of Sichuan Province, people's Republic of China (2001) Bureau of Geology and mineral resources of Sichuan Province. Geological Press

  • Hoek E, Wood D, Shah S (1992) A modified Hoek-Brown criterion for jointed rock masses. In: Hudson JA (ed) Proceedings of Rock Characterization Symposium. ISRM: Eurock’92. British Geological Society, London, pp 209–214

    Google Scholar 

  • Hoek E, Carter TG, Diederichs MS (2013) Quantification of the geological strength index chart. 47th US Rock Mechanics/Geomechanics Symposium. ARMA, San Francisco, pp 13–672

    Google Scholar 

  • Huang RQ, Xu Q, Huo J (2011) Mechanism and geo-mechanics models of landslides triggered by 5.12 Wenchuan Earthquake. J M Sci 8(2):200–210

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Jibson (2014) Mapping seismic landslide hazards in Anchorage, Alaska. Tenth U.S. National Conference on Earthquake Engineering Frontiers of Earthquake Engineering, Anchorage

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

    Article  Google Scholar 

  • Keefer DK (1984) Landslides caused by earthquakes. Geol Soc Am Bull 95(4):406–421

    Article  Google Scholar 

  • Kramer SL (1996) Geotechnical earthquake engineering. In: Prentice Hall. Prentice-Hall Civil Engineering and Engineering Mechanics Series, Upper Saddle River

    Google Scholar 

  • Li AJ, Merifield RS, Lyamin AV (2008) Stability charts for rock slopes based on the Hoek-Brown failure criterion. Int J Rock Mech Min Sci 45(5):689–700

    Article  Google Scholar 

  • Li CL, Xu WJ, Wu J, Gao MT (2016) Probabilistic seismic hazard analysis of eastern Bayan Har Block with new models. Prog Geophys 31(6):2370–2379 (in Chinese)

    Google Scholar 

  • Liu JM, Gao MT, Wu SR, Wang T, Jian W (2016) A Hazard assessment method for potential earthquake-induced landslides-a case study in Huaxian County, Shaanxi Province. Acta Geol Sin-Engl 90(2):590–603

    Article  Google Scholar 

  • Liu JM, Shi J, Wang T, Wu SR (2017) Seismic landslide hazard assessment in the Tianshui area, China, based on scenario earthquakes. B Eng Geol Enviro 77(3):1263–1272

    Article  Google Scholar 

  • Ma SY, Xu C (2019) Assessment of co-seismic landslide hazard using the Newmark model and statistical analyses: a case study of the 2013 Lushan, China, Mw6.6 earthquake. Nat Hazards 96:389–412

    Article  Google Scholar 

  • Ma SY, Xu C, Shao XY (2019) Spatial prediction strategy for landslides triggered by large earthquakes oriented to emergency response, mid-term resettlement and later reconstruction. Int J Disast Risk Res 101362:43

    Google Scholar 

  • Miles SB, Keefer DK (2000) Evaluation of seismic slope performance models using a regional case study. Environ Eng Geosci 6(1):25–39

    Article  Google Scholar 

  • Newmark NM (1965) Effects of earthquakes on dams and embankments. Geotechnique 15(2):139–160

    Article  Google Scholar 

  • Ni HY, Zheng WM, Song Z, Xu W (2014) Catastrophic debris flows triggered by a 4 July 2013 rainfall in Shimian, SW China: formation mechanism, disaster characteristics and the lessons learned. Landslides 11:909–921

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Peng WF, Wang CL, Chen ST, Lee ST (2009) Incorporating the effects of topographic amplification and sliding areas in the modeling of earthquake-induced landslide hazards, using the cumulative displacement method. Comput Geotech 35(5):946–966

    Google Scholar 

  • Pradel D, Smith PM, Stewart JP, Raad G (2005) Case history of landslide movement during the Northridge earthquake. J Geotech Geoenviron 131(11):1360–1369

    Article  Google Scholar 

  • Qi SW, Xu Q, Lan HX, Zhang B, Liu JY (2010) Spatial distribution analysis of landslides triggered by 2008.5.12 Wenchuan Earthquake, China. Eng Geol 116(1–2):95–108

    Article  Google Scholar 

  • Qin YQ, Tang H, Deng Q, Yin XT, Wang DY (2019) Regional seismic slope assessment improvements considering slope aspect and vertical ground motion. Eng Geol. https://doi.org/10.1016/j.enggeo.2019.105148

  • Rajabi AM, Khamehchiyan M, Mahdavifar MR, Gaudio VD, Capolongo D (2013) A time probabilistic approach to seismic landslide hazard estimates in Iran. Soil Dyn Earthq Eng 48(1):25–34

    Article  Google Scholar 

  • Ran YK, Chen LC, Chen JW, Gong HL (2008) Late Quaternary surface deformation and rupture behavior of strong earthquake on the segment north of Mianning of the Anninghe fault. Sci China Ser D Earth Sci 51:1224–1237

    Article  Google Scholar 

  • Rapolla A, Paoletti V, Secomand M (2010) Seismically-induced landslide susceptibility evaluation: application of a new procedure to the island of Ischia, Campania Region, Southern Italy. Eng Geol 114:10–25

    Article  Google Scholar 

  • Rapolla A, Di NS, Matano F, Paoletti V, Tarallo D (2012) Susceptibility regional zonation of earthquake-induced landslides in Campania, Southern Italy. Nat Hazards 61(1):115–126

    Article  Google Scholar 

  • Ren ZK (2014) Late Quaternary deformation features along the Anninghe Fault on the eastern margin of the Tibetan Plateau. J Asian Eerth Sci 85(2):53–65

    Article  Google Scholar 

  • Rodríguez-Peces MJ, Pérez García JL, García-Mayordomo J, Azañòn JM, In-sua-Arévalo JM, Delgado-García J (2011) Applicability of Newmark method at re-gional, sub-regional and site scales: seismically induced Bullas and La Paca rock-slidecases (Murcia, SE Spain). Nat Hazards 59:1109–1124

    Article  Google Scholar 

  • Rodríguez-Peces MJ, García-Mayordomo J, Azañòn JM, Jabaloy A (2014) GIS application for regional assessment of seismically induced slope failures in the Sierra Nevada Range, South Spain, along the Padul Fault. Environ Earth Sci 72(7):2423–2435

    Article  Google Scholar 

  • Saade A, Abou-Jaoude G, Wartman J (2016) Regional-scale co-seismic landslide assessment using limit equilibrium analysis. Eng Geol 204:53–64

    Article  Google Scholar 

  • Salinas-Jasso JA, Ramos-Zuñiga LG, Montalvo-Arrieta JC (2019) Regional landslide hazard assessment from seismically induced displacements in Monterrey Metropolitan area, Northeastern Mexico. B Eng Geol Enviro 78(2):1127–1141

    Article  Google Scholar 

  • Sandıkkaya MA, Akkar S, Bard PY (2013) A nonlinear site amplification model for the next pan-European ground-motion prediction equations. Bull Seismol Soc Am 103(1):19–32

  • Saygili G, Rathje EM (2008) Empirical predictive models for earthquake induced sliding displacements of slopes. J Geotech Geoenviron Eng 134(6):790–803

    Article  Google Scholar 

  • Shinoda M, Miyata Y (2017) Regional landslide susceptibility following the Mid NIIGATA prefecture earthquake in 2004 with NEWMARK’S sliding block analysis. Landslides 14(6):1887–1899

    Article  Google Scholar 

  • The Ministry of Construction of the People’s Republic of China (2010) National standard of the People’s Republic of China “Code for Seismic Design of Buildings” GB 50011–2010. China Architecture and Building Press, Beijing

    Google Scholar 

  • Wald DJ, Allen TI (2007) Topographic slope as a proxy for seismic site conditions and amplification. B Seismol Soc Am 97:1379–1395

    Article  Google Scholar 

  • Wang CY, Mooney WD, Wang XL, Wu JP, Lou H, Wang F (2002) Three-dimensional velocity structure of crust and upper mantle in Sichuan-Yunnan region. Acta Seismol Sin 24(1):1–16 (in Chinese)

    Article  Google Scholar 

  • Wang T, Liu JM, Shi JS, Wu SR (2017) The influence of DEM resolution on seismic landslide hazard assessment based upon the Newmark displacement method: a case study in the loess area of Tianshui, China. Environ Earth Sci 76(17):604

    Article  Google Scholar 

  • Wang T, Wu SR, Shi JS, Xin P, Wu LZ (2018) Assessment of the effects of historical strong earthquakes on large-scale landslide groupings in the Wei River midstream. Eng Geol 235:11–19

  • 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

    Article  Google Scholar 

  • Wartman J, Seed R, Bray J (2005) Shaking table modeling of seismically induced deformations in slopes. J Geotech Geoenviron 131(5):610–622

    Article  Google Scholar 

  • Wen XZ, Ma SL, Xu XW, He YN (2008a) Historical pattern and behavior of earthquake ruptures along the eastern boundary of the Sichuan-Yunnan faulted-block, southwestern China. Phys Earth Llanet Inter 168(1–2):16–36

    Article  Google Scholar 

  • Wen XZ, Fan J, Yi GX, Deng YW, Long F (2008b) A seismic gap on the Anninghe fault in western Sichuan, China. Sci China Ser D Earth Sci 51(10):1375–1387

    Article  Google Scholar 

  • Wieczorek GF, Wilson RC, Harp EL (1985) Map showing slope stability during earthquakes in San Mateo county, California. U.S. Geological Survey Miscellaneous Investigations Series Map I 1257E.U.S. Geological Survey p.1map: col.; 68 ×109cm., onsheet 105 ×136cm

  • Wills CJ (2006) Developing a map of geological defined site-condition categories for California. Bull Seismol Soc Am 96:1483–1501

    Article  Google Scholar 

  • Wills CJ, Petersen MD, Bryant WA, Reichle M, Saucedo GJ, Tan SS, Taylor G, Treiman (2000) A site-conditions map for California based on geology and shear - wave velocity. Bull Seismol Soc Am 90(6):S187–S208

    Article  Google Scholar 

  • Wilson RC, Keefer DK (1983) Dynamic analysis of a slope failure from the 6 August 1979 Coyote Lake, California, earthquake. Bull Seismol Soc Am 73(3):863–877

    Article  Google Scholar 

  • Xu C, Xu XW, Shyu JBH, Zheng W, Min W (2014) Landslides triggered by the 22 July 2013 Minxian-Zhangxian, China, Mw 5.9 earthquake: inventory compiling and spatial distribution analysis. J Asian Earth Sci 92:125–142

    Article  Google Scholar 

  • Xu C, Xu XW, Shyu JBH (2015) Database and spatial distribution of landslides triggered by the Lushan, China Mw 6.6 earthquake of 20 April 2013. Geomorphology 248:77–92

    Article  Google Scholar 

  • Xu XW, Wu XY, Yu GH, Tan XB, Li K (2017) Seismo-geological signatures for identifying Mosmo. Seismoake risk areas and their premilimary application in mainland China. Seismol Geol 39(2):219–275 (in Chinese)

    Google Scholar 

  • Yi GX, Wen XZ, Su YJ (2008) Study on the potential strong-earthquake risk for the earthern boundary of the Sichuan-Yunnan active faulted block, China. Chin J Geophys 51(6):1719–1725

    Article  Google Scholar 

  • Zang MD, Qi SW, Zou Y, Sheng ZP, Zamora BS (2020) An improved method of Newmark analysis for mapping hazards of coseismic landslides. Nat Hazards Earth Syst Sci 20(3):713–726

    Article  Google Scholar 

  • Zhang YS, Yang ZH, Guo CB, Wang T, Wang DH, Du GL (2017) Predicting landslide scenes under potential earthquake scenarios in the Xianshuihe fault zone, Southwest China. J Mt Sci 14(7):1262–1278

    Article  Google Scholar 

  • Zhu AY, Zhang DM, Jiang CS (2016) Numerical simulation of the segmentation of the stress state of the Anninghe-Zemuhe-Xiaojiang faults. Sci China Ser D Earth Sci 59(2):384–396

    Article  Google Scholar 

Download references

Acknowledgments

The fault data set is provided by Earth Observation from Space Data Sub-center (http://www.cmonoc.cn; http://www.sign.ac.cn;http://data.cea-ies.ac.cn). The DEM data is provided by SRTMDEM (http://srtm.csi.cgiar.org/SELECTION/inputCoord.asp). Many thanks to Dr. Li Changlong, Institute of Geophysics, CSB, for providing the PGA distribution map based on CPSHA. Many thanks to Dr. Liu Jiamei, Institute of Geomechanics, Chinese Academy of Geological Sciences, for his help.

Funding

This study has been financially supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA20030301), the International Partnership Program of Chinese Academy of Sciences (Grant No. 131551KYSB20180042), and the National Natural Science Foundation of China (Grant No. 41761144077).

Author information

Authors and Affiliations

  1. Key Laboratory for Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards & Environment, Chinese Academy of Sciences, #. 9, Block 4, Renminnanlu Road, Chengdu, 610041, Sichuan, People’s Republic of China

    Cheng Li & Lijun Su

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Cheng Li & Lijun Su

  3. CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China

    Lijun Su

  4. China-Pakistan Joint Research Centre on Earth Sciences, CAS-HEC, Islamabad, Pakistan

    Lijun Su

Authors
  1. Cheng Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lijun Su
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lijun Su.

Ethics declarations

Conflict of interest

The authors declare that they have no conflicts of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, C., Su, L. Influence of critical acceleration model on assessments of potential earthquake–induced landslide hazards in Shimian County, Sichuan Province, China. Landslides 18, 1659–1674 (2021). https://doi.org/10.1007/s10346-020-01578-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10346-020-01578-1

Keywords

Search

Navigation