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Stochastic finite-fault modeling of Ms 6.8 Luding earthquake in 2022 and seismic hazard scenario of Moxi fault, southwestern China

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Abstract

The development of ground motion models is an essential part of seismic hazard analysis. Based on the stochastic finite-fault method, this study conducted a scenario-based seismic hazard analysis of the Moxi fault. Because of the variability in amplification coefficients caused by the complex terrain, a genetic algorithm based on four previous earthquakes was used to identify site amplification. The simulations of the Ms 6.8 Luding earthquake in 2022 indicated that the correction of site amplification effectively reduced the model deviation and resulted in a close match between the simulated 5%-damped spectral acceleration and the observations. Subsequently, utilizing the calibrated input parameters and a hybrid source model, the ground motion of the Mw 7.1 scenario earthquake was synthesized to reflect uncertainties in the source parameters. To represent the dynamic properties of the structures, effective peak acceleration was used as a ground motion intensity measure. The source model with the synthetic effective peak acceleration closest to the average simulation result from 30 hybrid source models was selected and used to generate a seismic hazard map for the entire area. The prediction of earthquake scenarios provides a basis for earthquake disaster loss evaluation and seismic fortification of engineering structures.

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Data availability

Data for this study are provided by Institute of Engineering Mechanics, China Earthquake Administration. The stochastic finite-fault simulation program code (EXSIM12) is available on the Atkinson website (https://www.seismotoolbox.ca/EXSIM12.html, last accessed on September 10, 2021). Additionally, the figures in this article are plotted using Origin version 2018 and Generic Mapping Tools (GMT) version 6.1.1.

References

  • Aki K, Richards PG (1980) Quantitative seismology: theory and methods. W H Freeman and Company, San Francisco

    Google Scholar 

  • An YR, Wang D, Ma Q, Xu YR, Li Y et al (2023) Preliminary report of the 5 September 2022 MS 68 Luding earthquake, Sichuan, China. Earthq Res Adv 3(1):100184. https://doi.org/10.1016/j.eqrea.2022.100184

    Article  Google Scholar 

  • Anderson JG, Hough SE (1984) A model for the shape of the Fourier amplitude spectrum of acceleration at high frequencies. Bull Seismol Soc Am 74:1969–1993

    Google Scholar 

  • Applied Technology Council (1978) Tentative provisions for the development of seismic regulations for buildings. ATC 3-06, Redwood City, CA

  • Atkinson GM (2004) Empirical attenuation of ground motion spectral amplitudes in southeastern Canada and the northeastern United States. Bull Seismol Soc Am 94(3):1079–1095

    Article  Google Scholar 

  • Atkinson GM, Mereu RF (1992) The shape of ground motion attenuation curves in southeastern Canada. Bull Seismol Soc Am 82(5):2014–2031. https://doi.org/10.1785/BSSA0820052014

    Article  Google Scholar 

  • Atkinson GM, Boore DM (2006) Earthquake ground-motion prediction equations for eastern North America. Bull Seismol Soc Am 96(6):2181–2205. https://doi.org/10.1785/0120070023

    Article  Google Scholar 

  • Beresnev IA, Atkinson GM (1997) Modeling finite-fault radiation from the ωn spectrum. Bull Seismol Soc Am 87:67–84

    Article  Google Scholar 

  • Beresnev IA, Atkinson GM (1998) Stochastic finite-fault modeling of ground motions from the 1994 Northridge, California, earthquake. I. Validation on rock sites. Bull Seismol Soc Am 88:1392–1401

    Article  Google Scholar 

  • Beresnev IA, Atkinson GM (2002) Source parameters of earthquakes in eastern and western north America based on finite-fault modeling. Bull Seismol Soc Am 92:695–710. https://doi.org/10.1785/0120010101

    Article  Google Scholar 

  • Boore DM (1983) Stochastic simulation of high-frequency ground motions based on seismological models of the radiated spectra. Bull Seismol Soc Am 73:1865–1894

    Google Scholar 

  • Boore DM (2003) Simulation of ground motion using the stochastic method. Pure Appl Geophys 160:635–676. https://doi.org/10.1007/PL00012553

    Article  Google Scholar 

  • Boore DM (2009) Comparing stochastic point-source and finite-source ground-motion simulations: SMSIM and EXSIM. Bull Seismol Soc Am 99:3202–3216. https://doi.org/10.1785/0120090056

    Article  Google Scholar 

  • Boore DM, Joyner WB (1997) Site amplifications for generic rock sites. Bull Seismol Soc Am 87(2):327–341

    Article  Google Scholar 

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

    Google Scholar 

  • Carvalho A, Reis C, Vales D (2016) Source and high-frequency decay parameters for the Azores region for stochastic finite-fault ground motion simulations. Bull Earthq Eng 14:1885–1902. https://doi.org/10.1007/s10518-015-9842-y

    Article  Google Scholar 

  • Castro RR, Fabriol H, Bour M, Le Brun B (2003) Attenuation and site effects in the region of Guadeloupe, Lesser Antilles. Bull Seismol Soc Am 93(2):612–626

    Article  Google Scholar 

  • Cheng J, Xu XW (2018) Features of earthquake clustering from calculation of coulomb stress around the Bayan Har Block. Tibetan Plateau Seismol Geol 40(1):133–154

    Google Scholar 

  • Chopra AK (2011) Dynamics of structures, theory and applications to earthquake engineering, 4th edn. Pearson, London

    Google Scholar 

  • CJJ 166–2011 (2011) Code for seismic design of urban bridges. China Construction Industry Press, Beijing

  • Cornell CA (1968) Engineering seismic risk analysis. Bull Seismol Soc Am 58(5):1583–1606

    Article  Google Scholar 

  • Fan XM, Wang X, Dai LX, Fang CY, Deng Y et al (2022) Characteristics and spatial distribution pattern of Ms 68 Luding earthquake occurred on September 5, 2022. J Eng Geol 30(5):1504–1516. https://doi.org/10.13544/j.cnki.jeg.2022-0665

    Article  Google Scholar 

  • Fu L, Li XJ (2016) The characteristics of high-frequency attenuation of shear waves in the longmen shan and adjacent regions. Bull Seismol Soc Am 106(5):1979–1990. https://doi.org/10.1785/0120160002

    Article  Google Scholar 

  • GB 18306-2015 (2015) Seismic ground motion parameters zonation map of China. Standards Press of China, Beijing

  • GB 50011-2010 (2010) Code for seismic design of buildings. China Architecture & Building Press, Beijing

  • Graves R (1996) Simulating seismic wave propagation in 3D elastic media using staggered-grid finite differences. Bull Seismol Soc Am 86(4):1091–1106

    Google Scholar 

  • Graves R, Pitarka A (2010) Broadband ground motion simulation using a hybrid approach. Bull Seismol Soc Am 100(5A):2095–2123. https://doi.org/10.1785/0120100057

    Article  Google Scholar 

  • Gupta ID (1994) Defining effective peak acceleration via order statistics of acceleration peaks. Eur Earthq Eng 2:3–11

    Google Scholar 

  • Han BQ, Liu ZJ, Chen B, Li ZH, Yu C et al (2023) Coseismic deformation and slip distribution of the 2022 Luding Mw 6.6 earthquake revealed by InSAR observations. Geomatics Inf Sci Wuhan Univ 48(1):36–46. https://doi.org/10.13203/J.whugis20220636

    Article  Google Scholar 

  • Hanks T, McGuire R (1981) The character of high-frequency strong ground motion. Bull Seismol Soc Am 71:2071–2095

    Article  Google Scholar 

  • Hartzell S (1978) Earthquake aftershocks as Green’s functions. Geophys Res Lett 5:1–4

    Article  Google Scholar 

  • Herrero A, Bernard P (1994) A kinematic self-similar rupture process for earthquake. Bull Seismol Soc Am 84:1216–1228

    Article  Google Scholar 

  • Holland JH (1975) Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor

    Google Scholar 

  • Hu JJ (2009) Directivity effect of near‐fault ground motion and super‐shear rupture. Dissertation, Institute of Engineering Mechanics, China Earthquake Administration

  • Hu YX (2006) Earthquake engineering. Seismological Press, Beijing

    Google Scholar 

  • JTG/T 2231-01-2020 (2020) Specifications for seismic design of highway bridges. China Communications Press, Beijing

  • Kang DJ, Chen WK, Zhao HQ, Wang D (2023) Rapid assessment of the September 5, 2022 Ms 6.8 Luding earthquake in Sichuan, China. Earthq Res Adv. https://doi.org/10.1016/j.eqrea.2023.100214

    Article  Google Scholar 

  • Kamae K, Irikura K, Pitarka A (1998) A technique for simulating strong ground motion using Hybrid Green’s function. Bull Seismol Soc Am 88(2):357–367

    Article  Google Scholar 

  • Li GH, Wang AJ, Gao Y (2022) Source rupture characteristics of the September 5, 2022 Luding Ms 6.8 earthquake at the Xianshuihe fault zone in southwest China. Earthq Res Adv. 100201. https://doi.org/10.1016/j.eqrea.2022.100201

  • Li TS (1997) Xianshuihe active fault zone and strong earthquake risk assessment. Chengdu Cartographic Publishing House, Chengdu

    Google Scholar 

  • Lu RQ, Fang LH, Guo Z, Zhang JY, Wang W et al (2022) Detailed structural characteristics of the 1 June 2022 Ms6.1 Sichuan Lushan strong earthquake. Chin J Geophys 65(11):4299–4310

    Google Scholar 

  • Mittal H, Wu YM, Chen DY, Chao WA (2016) Stochastic finite modeling of ground motion for March 5, 2012, Mw 4.6 earthquake and scenario greater magnitude earthquake in the proximity of Delhi. Nat Hazards 82:1123–1146

    Article  Google Scholar 

  • Motazedian D, Atkinson GM (2005) Stochastic finite-fault modeling based on a dynamic corner frequency. Bull Seismol Soc Am 95:995–1010. https://doi.org/10.1785/0120030207

    Article  Google Scholar 

  • Panza GF, Mura CL, Peresan A, Romanelli F, Vaccari F (2013) Seismic hazard scenarios as preventive tools for a disaster resilient society-sciencedirect. Adv Geophys 53:93–165. https://doi.org/10.1016/B978-0-12-380938-4.00003-3

    Article  Google Scholar 

  • Peng Z (2022) Study on the effective peak acceleration scaling for strong ground motion selection. Dissertation, Institute of Engineering Mechanics, China Earthquake Administration

  • Pitarka A, Somerville P, Fukushima Y, Uetake T, Irikura K (2000) Simulation of near-fault strong-ground motion using hybrid Green’s functions. Bull Seismol Soc Am 90(3):566–586. https://doi.org/10.1785/0119990108

    Article  Google Scholar 

  • Roumelioti Z, Benetatos C, Kiratzi A, Stavrakakis G, Melis N (2004) A study of the 2 December 2002 (M5.5) Vartholomio (western Peloponnese, Greece) earthquake and of its largest aftershocks. Tectonophysics 387:65–79. https://doi.org/10.1016/j.tecto.2004.06.008

    Article  Google Scholar 

  • Somerville P, Irikura K, Graves R, Sawada S, Wald D et al (1999) Characterizing crustal earthquake slip models for the prediction of strong ground motion. Seism Res Lett 70(1):59–80

    Article  Google Scholar 

  • Song XY, Lei JS, Zou K (2023) The 2022 Luding, Sichuan, China, M 6.8 earthquake: A fluid-related earthquake?. J Asian Earth Sci: 105543. https://doi.org/10.1016/j.jseaes.2023.105543

  • Stein S, Wysession M (2002) An introduction to seismology, earthquakes and earth structure. Blackwell Publishing, New Jersey, pp 266–269

    Google Scholar 

  • Sun XD, Wang G, Liu CQ (2013) Finite fault models of the Lushan Earthquake made by using hybrid slip model. J Earthq Eng Eng Vib 33(4):15–20

    Google Scholar 

  • Sutar AK, Verma M, Bansal BK, Pandey AP (2020) Simulation of strong ground motion for a potential Mw7.3 earthquake in Kopili fault zone, northeast India. Nat Hazards 104:437–457

    Article  Google Scholar 

  • Trifunac MD (1992) Should peak accelerations be used to scale design spectrum amplitudes. In: Proceedings of the 10th World conference on earthquake engineering, Madrid, Spain 10: 5817–5822

  • Wang HY (2004) Finite fault source model for predicting near-field strong ground motion. Dissertation, Institute of Engineering Mechanics, China Earthquake Administration

  • Wang HY, Xie LL (2009) Prediction of near-fault strong ground motion field. Chin J Geophys 52:703–711

    Google Scholar 

  • Wang LY, Li HY, Chen HQ (2019) Source parameters and slip distribution inversion of 2013 Lushan Ms 7.0 earthquake. Geomatics Inf Sci Wuhan Univ 44(3):347–354

    Google Scholar 

  • Wang MJ, Li TF, Meng LB, Tang H (2015) Back analysis of stress field in the intersection region of Y shaped fault, Sichuan. J Railway Sci Eng 12(5):1088–1095

    Google Scholar 

  • Wei YL, Cai YC (2018) Characteristics of focal mechanism and focal depth of earthquakes in Sichuan region: a case study of moderate earthquakes. China Earthq Eng J 40(S1):6–17

    Google Scholar 

  • Wells DL, Coppersmith KJ (1994) New empirical relationships among magnitude, rupture length, rupture width, rupture area, and surface displacement. Bull Seismol Soc Am 84(4):974–1002. https://doi.org/10.1007/BF00808290

    Article  Google Scholar 

  • Wu WW, Su JR, Wei YL, Wu P, Li J et al (2016) Discussion on attenuation characteristics, site response and magnitude determination in Sichuan. Seismol Geol 38(4):1005–1018

    Google Scholar 

  • Xiao ZK, Xu C, Huang YD, He XL, Shao XY, et al (2023) Analysis of spatial distribution of landslides triggered by the Ms 6.8 Luding earthquake in China on September 5, 2022. Geoenviron Disasters 10: 3. https://doi.org/10.1186/s40677-023-00233-w

  • Xu J, Shao ZG, Ma HS, Zhang LP (2013) Evolution of Coulomb stress and stress interaction among strong earthquakes along the Xianshuihe fault zone. Chin J Geophys 56(4):1146–1158

    Google Scholar 

  • Xu ZP, Wang FY, Jiang L, Xu SQ, Tang L (2018) The depth of Moho interface and crustal thickness in Sichuan-Yunnan region, China. Seismol Geol 40(6):1318–1331

    Google Scholar 

  • Yi GX, Long F, Wen XZ, Liang MJ, Wang SW (2015) Seismogenic structure of the M6.3 Kangding earthquake sequence on 22 Nov. 2014, Southwestern China. Chin J Geophys 58(4):1205–1219

  • Yuan YF, Tian QW (2012) Engineering seismology. Seismological Press, Beijing

    Google Scholar 

  • Zafarani H, Noorzad A, Ansari A, Bargi K (2009) Stochastic modeling of Iranian earthquakes and estimation of ground motion for future earthquakes in Greater Tehran. Soil Dyn Earthq Eng 29:722–741

    Article  Google Scholar 

  • Zhang YH (2018) Research on genesis and development of the geothermal system in the Kangding-Moxi segment of the Xianshuihe fault. Dissertation, Chengdu University of Technology

  • Zhao JX, Irikura K, Jian Z, Fukushima Y, Somerville PG, Asano A, Ohno Y, Oouchi T, Takahashi T, Ogawa H (2006) An empirical site-classification method for strong-motion stations in japan using H/V response spectral ratio. Bull Seismol Soc Am 96(3):914–925. https://doi.org/10.1785/0120050124

    Article  Google Scholar 

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Acknowledgements

The authors acknowledge two anonymous reviewers for their timely and constructive comments. This work is funded by the National Natural Science Foundation of China (Grant Nos. 52178174 and 51878606).

Funding

This work is funded by the National Natural Science Foundation of China (Grant Nos. 52178174 and 51878606).

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Authors and Affiliations

  1. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, 310058, China

    Tianjia Wang, Xu Xie, Yonggang Shen & Weipeng Weng

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  1. Tianjia Wang
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Contributions

Conceptualization: Tianjia Wang, Xu Xie; Methodology: Tianjia Wang, Xu Xie; Formal analysis and investigation: Tianjia Wang, Yonggang Shen, Weipeng Weng; Writing—original draft preparation: Tianjia Wang; Writing—review and editing: Tianjia Wang, Xu Xie, Yonggang Shen, Weipeng Weng; Funding acquisition: Xu Xie; Resources: Resources; Supervision: Xu Xie, Yonggang Shen.

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Correspondence to Xu Xie.

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Wang, T., Xie, X., Shen, Y. et al. Stochastic finite-fault modeling of Ms 6.8 Luding earthquake in 2022 and seismic hazard scenario of Moxi fault, southwestern China. Bull Earthquake Eng 21, 4731–4753 (2023). https://doi.org/10.1007/s10518-023-01730-x

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