Skip to main content
Log in

Seismic effect of the Wangjiayan landslide based on microtremor measurements in Beichuan, Southwest China

  • Technical Note
  • Published:
Landslides Aims and scope Submit manuscript

Abstract

Using microtremor data from the Wangjiayan landslide in Beichuan (Southwest China), we applied the horizontal-to-vertical spectral ratio (HVSR) method to evaluate the associated seismic effect. The results show the following: (1) The microtremor spectrum characteristics of the Wangjiayan landslide are significant, and the HVSR curves feature multiple peaks and fluctuate significantly in the high-frequency band, suggesting contributions from the underlying stratigraphic structure, overburden thickness, and topography. (2) The predominant frequencies of the landslide crown, the landslide bedding, and the landslide main body appear at 2.75, 3.79, and 3.61–4.06 Hz, with corresponding peak amplification factors of 3.44, 2.45, and 2.34–2.48. The amplification effect tends to intensify as the elevation of the microtremor measurement points rises gradually. (3) Microtremor directional characteristics are evident at the crown of the Wangjiayan landslide, with significant directivity ranging from 80 to 110°, including the main slide direction of the landslide at 80°. (4) The preferential orientation of the joints in the Wangjiayan landslide area ranges from 70 to 100°, coinciding with the significant directivity of the microtremors at the landslide crown, which indicates that the tectonic stress induced by the Yingxiu–Beichuan fault may have a particular promoting effect on the formation of the Wangjiayan landslide. The results serve as an additional reference for researching the triggering mechanism of the Wangjiayan landslide and provide technical support for investigating the seismic effect of old landslides.

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

Access this article

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

Data availability

The data investigated in this study is available from the corresponding author upon request.

References

  • Bo JS, Chi BM (2009) Summary of the first stage of scientific investigation on site conditions of Wenchuan MS 8.0 earthquake. Institute of disaster prevention, Hebei

  • Bonnefoy-Claudet S, Cotton F, Bard PY (2006) The nature of noise wavefield and its applications for site effects studies: a literature review. Earth Sci Rev 79(3–4):205–227. https://doi.org/10.1016/j.earscirev.2006.07.004

    Article  ADS  Google Scholar 

  • Borcherdt RD (1970) Effects of local geology on ground motion near San Francisco Bay. Bull Seismol Soc Am 60(1):29–61. https://doi.org/10.1785/BSSA0600010029

    Google Scholar 

  • Choobbasti AJ, Rezaei S, Farrokhzad F (2013) Evaluation of site response characteristics using microtremors. Građevinar 65(08):731–741

    Google Scholar 

  • Cruden DM, Varnes DJ (1996) Landslides: investigation and mitigation. Chapter 3-Landslide types and processes. Transportation Research Board Special Report 247

  • Del Gaudio V, Coccia S, Wasowski J et al (2008) Detection of directivity in seismic site response from microtremor spectral analysis. Nat Hazards Earth Syst Sci 8(4):751–762. https://doi.org/10.5194/nhess-8-751-2008

    Article  Google Scholar 

  • Del Gaudio V, Wasowski J (2011) Advances and problems in understanding the seismic response of potentially unstable slopes. Eng Geol 122(1–2):73–83. https://doi.org/10.1016/j.enggeo.2010.09.007

    Article  Google Scholar 

  • Del Gaudio V, Wasowski J, Muscillo S (2013) New developments in ambient noise analysis to characterise the seismic response of landslide-prone slopes. Nat Hazards Earth Syst Sci 13(8):2075–2087. https://doi.org/10.5194/nhess-13-2075-2013

    Article  Google Scholar 

  • Del Gaudio V, Zhao B, Luo Y et al (2019) Seismic response of steep slopes inferred from ambient noise and accelerometer recordings: the case of Dadu River valley, China. Eng Geol 259:105197. https://doi.org/10.1016/j.enggeo.2019.105197

    Article  Google Scholar 

  • Fu BH, Shi PL, Wang P et al (2009) Geometry and kinematics of the 2008 Wenchuan earthquake surface ruptures around the Qushan Town of Beichuan County, Sichuan: implications for mitigation of seismic and geologic disasters. Chin J Geophys 52(2):485–495

    Google Scholar 

  • Gao G, Meguid MA, Chouinard LE et al (2021) Dynamic disintegration processes accompanying transport of an earthquake-induced landslide. Landslides 18:909–933. https://doi.org/10.1007/s10346-020-01508-1

    Article  Google Scholar 

  • Haghshenas E, Bard PY, Theodulidis N et al (2008) Empirical evaluation of microtremor H/V spectral ratio. Bull Earthquake Eng 6(1):75–108. https://doi.org/10.1007/s10518-007-9058-x

  • Hartzell S, Leeds AL, Jibson RW (2017) Seismic response of soft deposits due to landslide: the Mission Peak, California, Landslide. Bull Seismol Soc Am 107(5):2008–2020. https://doi.org/10.1785/0120170033

    Article  Google Scholar 

  • Huang RQ, Li WL (2008) (2008) Research on development and distribution rules of geohazards induced by Wenchuan earthquake on 12th May. Chin J Rock Mech Eng 27(12):2585–2592

    Google Scholar 

  • Huang Y, Zhang W, Xu Q et al (2012) Run-out analysis of flow-like landslides triggered by the MS 8.0 2008 Wenchuan earthquake using smoothed particle hydrodynamics. Landslides 9:275–283. https://doi.org/10.1007/s10346-011-0285-5

  • Jiang DW, Zhang SM, Li W et al (2018) Forelnd deformation pattern of the southern Longmen Shan in Late Quaternary. Chin J Geophys 61(5):1949–1969

    Google Scholar 

  • Kanai K, Tanaka T, Osada K (1954) Measuring of the microtremor. Bulletin Earthquake Research Institute 32:199–209

    Google Scholar 

  • Konno K, Ohmachi T (1998) Ground-motion characteristics estimated from spectral ratio between horizontal and vertical components of microtremor. Bull Seismol Soc Am 88(1):228–241.https://doi.org/10.1785/BSSA0880010228

    Article  Google Scholar 

  • Li X, Wu Y, He S et al (2016) Application of the material point method to simulate the post-failure runout processes of the Wangjiayan landslide. Eng Geol 212:1–9. https://doi.org/10.1016/j.enggeo.2016.07.014

    Article  ADS  Google Scholar 

  • Li XB, Chang CY, Cai XG et al (2022) Site seismic effect of the Moxi Platform in Luding, Sichuan. J of Institude of Disaster Prevention 24(04):34–45

    Google Scholar 

  • Liu H, Xu Q, Li Y et al (2013) Response of high-strength rock slope to seismic waves in a shaking table test. Bull Seismol Soc Am 103(6):3012–3025. https://doi.org/10.1785/0120130055

    Article  Google Scholar 

  • Lu T, Guo LS, Tong X et al (2022) Study on azimuth-related site amplification effect of seismic ground motion. Technology for Earthquake Disaster Prevention 17(03):481–489

    Google Scholar 

  • Lu T, Zhou ZH, Zhou YN et al (2006) Discussion on validation of Nakamura’s technique. Earthquake Engineering and Engineering Vibration 26(1):43–48

    Google Scholar 

  • Molnar S, Sirohey A, Assaf J et al (2022) A review of the microtremor horizontal-to-vertical spectral ratio (MHVSR) method. J Seismolog 26:653–685. https://doi.org/10.1007/s10950-021-10062-9

    Article  CAS  ADS  Google Scholar 

  • Nakamura Y (1989) A method for dynamic characteristics estimation of subsurface using microtremor on the ground surface. Railway Technical Research Institute, Quarterly Reports 30(1):25–33

    Google Scholar 

  • Nakamura Y (2019) What is the Nakamura method? Seismol Res Lett 90(4):1437–1443. https://doi.org/10.1785/0220180376

    Google Scholar 

  • Pilz M, Parolai S, Bindi D et al (2014) Combining seismic noise techniques for landslide characterization. Pure Appl Geophys 171:1729–1745. https://doi.org/10.1007/s00024-013-0733-3

    Article  ADS  Google Scholar 

  • Qing TW, Wang ST, Feng XZ et al (2021) A review on microtremor H/V spectral ratio method. Reviews of Geophysics and Planetary Physics 52(06):587–622

    Google Scholar 

  • Rodriguez VHS, Midorikawa S (2002) Applicability of the H/V spectral ratio of microtremors in assessing site effects on seismic motion. Earthquake Eng Struct Dynam 31(2):261–279. https://doi.org/10.1002/eqe.108

  • Rong MS, Li XJ, Wang ZM et al (2016) Applicability of HVSR in analysis of site-effects caused by earthquakes. Chin J Geophys 59(8):2878–2891

    Google Scholar 

  • SESAME (2004) Guidelines for the implementation of the H/V spectral ratio technique on ambient vibrations measurements, processing and interpretation. SESAME Eur. Res. Proj. Eur. Comm. -Res. Gen. Dir. WP12-Deliv. D23.12. (Project No. EVG1-CT-2000–00026 SESAME)

  • Ugurhan B, Askan A (2010) Stochastic strong ground motion simulation of the 12 November 1999 Düzce (Turkey) earthquake using a dynamic corner frequency approach. Bull Seismol Soc Am 100(4):1498–1512. https://doi.org/10.1785/0120090358

    Article  Google Scholar 

  • Wang GL, Liu HS, Zhang JH (2010) Analysis on seismic hazards in Beichuan County Town caused by Wenchuan great earthquake. Northwestern Seismological Journal 32(2):173–178

    Google Scholar 

  • Wang GL, Zhang JH, Liu HS (2009) Investigation and preliminary analysis of geologic disasters in Beichuan County induced by Wenchuan earthquake. The Chinese Journal of Geological Hazard and Control 20(3):47–51

    Google Scholar 

  • Wang PF (2020) Predictability and repeatability of non-ergodic site response for diverse geological conditions. University of California, Los Angeles

    Google Scholar 

  • Xu Q, Pei XJ, Huang RQ et al (2009) Large-scale landslides induced by the Wenchuan earthquake. Science Press, Beijing.

    Google Scholar 

  • Yao XD, Zhang WB, Yu XW (2015) Simulation of near-field strong ground motion caused by the 2008 MS 8.0 Wenchuan earthquake. Chinese Journal of Geophysics 58(3):886–903

  • Zhao XY, Hu HT (2015) Classification and sudden initiation of large landslides triggered by 2008 Wenchuan earthquake. J Eng Geol 23(1):78–85

    Google Scholar 

  • Zhao XY, Hu K, Burns SF et al (2019) Classification and sudden departure mechanism of high-speed landslides caused by the 2008 Wenchuan earthquake. Environmental Earth Sciences 78:125. https://doi.org/10.1007/s12665-019-8083-9

    Google Scholar 

  • Zhao XY, Hu K, Liang Y et al (2018) Experiment on sudden departure triggered by shearing vibration for locked segment of Wangjiayan landslide. Chin J Rock Mech Eng 37(1):104–111

    Google Scholar 

  • Zhu Q (2015) Dynamic analysis and countermeasure of the airblast generated by rock avalanche. Southwest Jiaotong University, Chengdu

    Google Scholar 

Download references

Acknowledgements

The manuscript benefited from careful and thoughtful reviews by three anonymous reviewers. We thank them for their constructive input and the editor for effective editorial handling.

Funding

This work was financially supported by the National Natural Science Foundation of China (No. U1939209, 51808118), Science for Earthquake Resilience (No. XH23066A), and Science and Technology Innovation Program for Postgraduate students in IDP subsidized by Fundamental Research Funds for the Central Universities (No. ZY20230309).

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization: XL; methodology: XL, YX, XZ; writing—original draft preparation: XL, YX, XZ, XW; writing—review and editing: XL, YX; visualization: XW, JB, GO, XZ, JD; supervision: XL. All authors participated in field surveys.

Corresponding author

Correspondence to Xiaobo Li.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, X., Xuan, Y., Zhou, X. et al. Seismic effect of the Wangjiayan landslide based on microtremor measurements in Beichuan, Southwest China. Landslides 21, 875–888 (2024). https://doi.org/10.1007/s10346-023-02191-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10346-023-02191-8

Keywords

Navigation