Volume 45 Issue 2
Mar.  2023
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Zhao J X,Ba Z N,Kuo C Y,Liu B J. 2023. Broadband ground motion simulations applied to the Luding MS6.8 earthquake on September 5,2022 based on spectral element method. Acta Seismologica Sinica,45(2):179−195 doi: 10.11939/jass.20220190
Citation: Zhao J X,Ba Z N,Kuo C Y,Liu B J. 2023. Broadband ground motion simulations applied to the Luding MS6.8 earthquake on September 5,2022 based on spectral element method. Acta Seismologica Sinica45(2):179−195 doi: 10.11939/jass.20220190

Broadband ground motion simulations applied to the Luding MS6.8 earthquake on September 5,2022 based on spectral element method

doi: 10.11939/jass.20220190
  • Received Date: 2022-10-09
  • Rev Recd Date: 2022-12-07
  • Available Online: 2023-03-10
  • Publish Date: 2023-03-15
  • At 12:52 on September 5, 2022, a MS6.8 earthquake occurred in Luding County, Garze Prefecture, Sichuan Province. The earthquake caused severe damage and heavy casualties in Luding County and its surrounding areas. In order to reproduce the ground motion influence field of the earthquake and analyze the spatial distribution characteristics of near-field ground motion, the deterministic asperity source model is combined with the random source model to obtain the kinematic hybrid source model. Then, the hybrid source model is implemented into the SPECFEM 3D, and the whole-process broadband (0.1−5 Hz) ground motion simulation based on the spectral element method and kinematic hybrid source model is realized. The results from the simulation of Luding earthquake are as follows. Firstly, the simulation results are compared with the time history records of six stations, the corresponding response spectra and the NGA-West2 ground motion attenuation curves to test the applicability of the method. Secondly, the three-component velocity wavefield snapshots of the earthquake is given to demonstrate the directional effect and local site effect of the near field when the seismic wave propagates. Finally, the peak acceleration (PGA) and peak velocity (PGV) maps of the ground motion in the range of 100 km×100 km centered on the Luding area are given, and the spatial distribution characteristics of the ground motion in the near field region for the Luding earthquake are analyzed. Based on the simulation results, the seismic intensity distribution map is given. The results show that the epicenter PGA and PGV is close to 600 cm/s2 and 50 cm/s, respectively, and the seismic intensity reaches Ⅸ degree. Due to the influence of mountain-canyon topography in Luding area on the ground motion, the peak of ground motion is significantly amplified at the top of the mountain and the bottom of the canyon, with the amplification of PGA and PGV of 1.9 times and 1.5 times, respectively. The amplification of PGA and PGV at the bottom of the canyon is 1.7 times and 1.4 times. Therefore, attention should be paid to the phenomenon of earthquake amplification and possible secondary geological disasters in mountain-canyon region.

     

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  • [1]
    State Administration of Market Supervision and Administration, China National Standardization Management Committee. 2020. GB/T 17742−2020 The Chinese Seismic Intensity Standard[S]. Beijing: Standards Press of China: 8–10 (in Chinese).
    [2]
    Cao Z L. 2020. Synthesis of Three-Component Broadband Strong Ground Motion Field Based on FK Approach[D]. Harbin: Harbin Institute of Technology: 37–58 (in Chinese).
    [3]
    Jiang W,Tao X X,Tao Z R,Cao Z L,Wang L Y. 2017. Scaling laws of local parameters of finite fault source model[J]. Earthquake Engineering and Engineering Dynamics,37(6):23–30 (in Chinese).
    [4]
    Li X B,BO J S,QI W H,Wang Y C,Ruan F. 2014. Spectral element method in seismic ground motion simulation[J]. Progress in Geophysics,29(5):2029–2039 (in Chinese).
    [5]
    Li J Y,Shi B W,Xu X Y,Hu J F. 2018. Crustal structure beneath the Sichuan basin and adjacent region revealed by teleseismic receiver functions[J]. Chinese Journal of Geophysics,61(7):2719–2735 (in Chinese).
    [6]
    Li C Y,Sun K,Ma J,Li J J,Liang M J,Fang L H. 2022. The 2022 M6.8 Luding earthquake:A complicated event by faulting of the Moxi segment of the Xianshuihe fault zone[J]. Seismology and Geology,44(6):1648–1666 (in Chinese).
    [7]
    Tie Y B,Zhang X Z,Lu J Y,Liang J T,Wang D H,Ma Z G,Li Z L,Lu T,Shi S W,Liu M S,Ba R J,He L J,Zhang X K,Gan W,Chen K,Gao Y C,Bai Y J,Gong L F,Zeng X W,Xu W. 2022. Characteristics of geological hazards and it’s mitigations of the MS6.8 earthquake in Luding county,Sichuan Province[J]. Hydrogeology &Engineering Geology,49(6):1–12 (in Chinese).
    [8]
    Wang H Y. 2004. Finite Fault Source Model for Predicting Near-Field Strong Ground Motion[D]. Harbin: Institute of Engineering Mechanics, China Earthquake Administration: 39–62 (in Chinese).
    [9]
    Wen X Z. 2000. Character of rupture segmentation of Xianshuihe-Anninghe-Zemuhe fault zone,western Sichuan[J]. Seismology and Geology,22(3):239–249 (in Chinese).
    [10]
    Xie Z N,Zhang X B. 2017. Weak-form time-domain perfectly matched layer[J]. Chinese Journal of Geophysics,60(10):3823–3831 (in Chinese).
    [11]
    Ministry of Emergency Management. 2022. The Ministry of Emergency Management issued the Sichuan Luding 6.8 earthquake intensity map[EB/OL]. [2022-09-11]. https://www.mem.gov.cn/xw/yjglbgzdt/202209/t20220911_422190.shtml (in Chinese)
    [12]
    China Earthquake Networks Center. 2022a. September 5, 2022, Sichuan Luding 6.8 earthquake topic: Basic information[EB/OL]. [2022-09-06]. https://data.earthquake.cn/20220905scld/index.html (in Chinese).
    [13]
    China Earthquake Networks Center. 2022b. September 5, 2022, Sichuan Luding 6.8 earthquake topic: Aftershock information[EB/OL]. [2022-09-15]. https://data.earthquake.cn/gxdt/info/2022/334669424.html (in Chinese).
    [14]
    Chinanews. 2022. The number of victims of the earthquake in Luding, Sichuan Province, Sept 5, 2022[EB/OL]. [2022-09-11]. https://www.chinanews.com.cn/gn/2022/09/11/9848234.shtml (in Chinese).
    [15]
    Andrews D J. 1981. A stochastic fault model:2. Time-dependent case[J]. J Geophys Res,86(B11):10821–10834. doi: 10.1029/JB086iB11p10821
    [16]
    Day S M, Bradley C R. 2001. Memory-efficient simulation of anelastic wave propagation[J]. Bull Seismol Soc Am, 91(3): 520–531.
    [17]
    Dangkua D T,Rong Y,Magistrale H. 2018. Evaluation of NGA-West2 and Chinese ground-motion prediction equations for developing seismic hazard maps of mainland China[J]. Bull Seismol Soc Am,108(5A):2422–2443. doi: 10.1785/0120170186
    [18]
    Fu H H, He C H, Chen B W, Yin Z K, Zhang Z G, Zhang W Q, Zhang T J, Xue W, Liu W G, Yin W W, Yang G W, Chen X F. 2017. Nonlinear earthquake simulation on Sunway TaihuLight: Enabling depiction of 18-Hz and 8-meter scenarios[C]//Proceedings of the International Conference for High Performance Computing. New York: Association for Computing Machinery: 1–2.
    [19]
    Graves R W,Pitarka A. 2010. Broadband ground-motion simulation using a hybrid approach[J]. Bull Seismol Soc Am,100(5A):2095–2123.
    [20]
    Graves R W,Pitarka A. 2015. Refinements to the Graves and Pitarka (2010) broadband ground-motion simulation method[J]. Seismol Res Lett,86(1):75–80. doi: 10.1785/0220140101
    [21]
    Haskell N A. 1964. Total energy and energy spectral density of elastic wave radiation from propagating faults[J]. Bull Seismol Soc Am,54(6A):1811–1841. doi: 10.1785/BSSA05406A1811
    [22]
    Heinecke A, Breuer A, Rettenberger S, Bader M, Gabriel A A, Pelties C, Bode A, Barth W, Liao X K, Vaidyanathan K, Smelyanskiy M, Dubey P. 2014. Petascale high order dynamic rupture earthquake simulations on heterogeneous supercomputers[C]//Proceedings of the International Conference for High Performance Computing, Networking, Storage and AnalysisSC '14). Piscataway, NJ: IEEE Press: 3–14.
    [23]
    Hu Z F,Olsen K B,Day S M. 2022. 0–5 Hz deterministic 3-D ground motion simulations for the 2014 La Habra,California,earthquake[J]. Geophys J Int,230(3):2162–2182. doi: 10.1093/gji/ggac174
    [24]
    Irikura K,Miyake H. 2011. Recipe for predicting strong ground motion from crustal earthquake scenarios[J]. Pure Appl Geophys,168:85–104.
    [25]
    Ma J, Zhou B G, Wang M M, Guo P, Liu J R, Ha G H, Fan J. 2022. Surface rupture and slip distribution along the Zheduotang fault in the Kangding section of the Xianshuihe fault zone[J]. Lithosphere, (Special 2): 6500707.
    [26]
    Mai P M,Beroza G C. 2002. A spatial random field model to characterize complexity in earthquake slip[J]. J Geophys Res,107(B11):10–21.
    [27]
    Pitarka A,Akinci A,Gori D P,Buttinelli M. 2021. Deterministic 3D ground‐motion simulations (0−5 Hz) and surface topography effects of the 30 October 2016 MW6.5 Norcia,Italy earthquake[J]. Bull Seismol Soc Am,112(1):262–286.
    [28]
    Rodgers A J,Petersson N A,Pitarka A,McCallen D B,Sjogreen B,Abrahamson N. 2019. Broadband (0−5 Hz) fully deterministic 3D ground-motion simulations of a magnitude 7.0 Hayward fault earthquake:Comparison with empirical groundmotion models and 3D path and site effects from source normalized intensities[J]. Seismol Res Lett,90(3):1268–1284.
    [29]
    Rodgers A J,Pitarka A,Pankajakshan R,Sjögreen B,Petersson N A. 2020. Regional-scale 3D ground-motion simulations of MW7 earthquakes on the Hayward fault,northern California resolving frequencies 0−10 Hz and including site‐response corrections[J]. Bull Seismol Soc Am,110(6):2862–2881. doi: 10.1785/0120200147
    [30]
    Touhami S,Gatti F,Lopez-Caballero F,Cottereau F,Corrêa A L,Aubry L,Clouteau D. 2022. SEM3D:A 3D high-fidelity numerical earthquake simulator for broadband (0−10 Hz) seismic response prediction at a regional scale[J]. Geosci J,12(3):112. doi: 10.3390/geosciences12030112
    [31]
    Wang M,Shen Z. 2020. Present day crustal deformation of continental china derived from GPS and its tectonic implications[J]. J Geophys Res:Solid Earth,125(2):2019JB018774.
    [32]
    Wen X Z,Ma S L,Xu X W,He Y N. 2008. Historical pattern and behavior of earthquake ruptures along the eastern boundary of the Sichuan-Yunnan faulted-block,southwestern China[J]. Phys Earth Planet Inter,168(1/2):16–36.
    [33]
    Xiao X,Cheng S H,Wu J P,Wang W L,Sun L,Wang X X,Wen L X. 2021. Shallow seismic structure beneath the continental China revealed by P-wave polarization,Rayleigh wave ellipticity and receiver function[J]. Geophys J Inter,225(2):998–1019.
    [34]
    Xin H L,Zhang H J,Kang M,He R Z,Gao L,Gao J. 2019. High‐resolution lithospheric velocity structure of continental China by double‐difference seismic travel‐time tomography[J]. Seismol Res Lett,90(1):229–241.
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