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Hybrid broadband ground motion simulations in the Indo-Gangetic basin for great Himalayan earthquake scenarios

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Abstract

This study presents broadband ground motions for the Indo-Gangetic basin, a large sedimentary basin in India, for potential future great (Mw 8.5) Himalayan earthquakes. We use a recently developed 3D earth structure model of the basin as an input to simulate low-frequency ground motion (0–0.5 Hz). These ground motions are further combined with high-frequency scattering waveforms by using a hybrid approach, thus yielding broadband ground motions (0–10 Hz). We calibrate the 3D model and scattering parameters by comparing the simulated ground motions against available recorded data for two past earthquakes in Himalaya. Our approach accounts for the physics of interaction between the scattered seismic waves with deep basin sediments. Our results indicate that the ground motion intensities exhibit frequency-dependent amplification at various basin depths. We also observe that in the event of a great earthquake, the ground motion intensities are larger at deep basin sites near the source and exhibit an attenuating trend over distance similar to the ground motion models. The extreme ground motion simulations performed in our study reveal that the national building codes may not provide safe recommendations at deep basin sites, especially in the near field region. The period-dependent vertical-to-horizontal spectral ratio deviates from the code-recommended constant 2/3 at least up to 6 s at these sites.

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References

  • Alipour N, Sandıkkaya M, Gülerce Z (2019) Ground motion characterization for vertical ground motions in turkey—part 1: V/h ratio ground motion models. Pure Appl Geophys 177:1–22

    Google Scholar 

  • Anbazhagan P, Kumar A, Sitharam T (2013) Seismic site classification and correlation between standard penetration test n value and shear wave velocity for lucknow city in indo-Gangetic basin. Pure Appl Geophys 170(3):299–318

    Google Scholar 

  • Archuleta RJ, Liu P, Steidl JH, Bonilla L, Lavallée D, Heuze F (2003) Finite-fault site-specific acceleration time histories that include nonlinear soil response. Phys Earth Planetary Interiors 137(1):153–181. https://doi.org/10.1016/S0031-9201(03)00013-X

    Article  Google Scholar 

  • Bagchi S, Raghukanth STG (2017) Seismic response of the central part of Indo-Gangetic plain. J Earthq Eng 23:1–25

    Google Scholar 

  • Bard PY, Bouchon M (1985) The two-dimensional resonance of sediment-filled valleys. Bull Seismol Soc Am 75(2):519

    Google Scholar 

  • Bijelić N, Lin T, Deierlein GG (2019) Quantification of the influence of deep basin effects on structural collapse using scec cybershake earthquake ground motion simulations. Earthq Spectra 35(4):1845–1864

    Google Scholar 

  • Bilham R, Ambraseys N (2005) Apparent Himalayan slip deficit from the summation of seismic moments for himalayan earthquakes, 1500–2000. Curr Sci 88:1658–1663

    Google Scholar 

  • Bilham R, Gaur VK, Molnar P (2001) Himalayan seismic hazard. Science 293(5534):1442–1444. https://doi.org/10.1126/science.1062584

    Article  Google Scholar 

  • Boore DM, Stewart JP, Seyhan E, Atkinson GM (2014) Nga-west2 equations for predicting PGA, PGV, and 5% damped PSA for shallow crustal earthquakes. Earthq Spectra 30(3):1057–1085

    Google Scholar 

  • Bowden DC, Tsai VC (2017) Earthquake ground motion amplification for surface waves. Geophys Res Lett 44(1):121–127. https://doi.org/10.1002/2016GL071885

    Article  Google Scholar 

  • Bozorgnia Y, Campbell KW (2016) Ground motion model for the vertical-to-horizontal (V/H) ratios of PGA, PGV, and response spectra. Earthq Spectra 32(2):951–978

    Google Scholar 

  • Campbell KW, Bozorgnia Y (2014) Nga-west2 ground motion model for the average horizontal components of PGA, PGV, and 5% damped linear acceleration response spectra. Earthq Spectra 30(3):1087–1115

    Google Scholar 

  • Dasgupta S, Narula P, Acharyya S, Banerjee J (2000) Seismotectonic atlas of India and its environs. Geol Sur India 2000:87

    Google Scholar 

  • Day SM, Graves R, Bielak J, Dreger D, Larsen S, Olsen KB, Pitarka A, Ramirez-Guzman L (2008) Model for basin effects on long-period response spectra in southern california. Earthq Spectra 24(1):257–277

    Google Scholar 

  • Dhanya J, Raghukanth STG (2018) Ground motion prediction model using artificial neural network. Pure Appl Geophys 175(3):1035–1064

    Google Scholar 

  • Dhanya J, Raghukanth STG (2019) A non-gaussian random field model for earthquake slip. J Seismol 23:1–24

    Google Scholar 

  • Dhanya J, Gade M, Raghukanth STG (2016) Ground motion estimation during 25th April 2015 Nepal earthquake. Acta Geod Geoph. https://doi.org/10.1007/s40328-016-0170-8

    Article  Google Scholar 

  • Douglas J (2018) Ground motion prediction equations 1964–2018. Review. University of Strathclyde, Glasgow

    Google Scholar 

  • Douglas J, Aochi H (2008) A survey of techniques for predicting earthquake ground motions for engineering purposes. Surv Geophys 29(3):187. https://doi.org/10.1007/s10712-008-9046-y

    Article  Google Scholar 

  • Frankel A (1995) Simulating strong motions of large earthquakes using recordings of small earthquakes: the Loma Prieta mainshock as a test case. Bull Seismol Soc Am 85(4):1144–1160

    Google Scholar 

  • Gade M, Raghukanth STG (2017) Simulation of strong ground motion for a m w 8.5 hypothetical earthquake in central seismic gap region, Himalaya. Bull Earthq Eng 15(10):4039–4065

    Google Scholar 

  • Goda K, Yasuda T, Mori N, Maruyama T (2016) New scaling relationships of earth quake source parameters for stochastic tsunami simulation. Coast Eng J 58(3):1650010-1–1650010-40. https://doi.org/10.1142/S0578563416500108

    Article  Google Scholar 

  • Graves RW, 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 

  • Graves RW, Wald DJ (2004) Observed and simulated ground motions in the San Bernardino basin region for the hector mine, California, earthquake. Bull Seismol Soc Am 94(1):131–146

    Google Scholar 

  • Gulerce Z, Abrahamson NA (2011) Site-specific design spectra for vertical ground motion. Earthq Spectra 27(4):1023–1047

    Google Scholar 

  • Hole J (1992) Nonlinear high-resolution three-dimensional seismic travel time tomography. J Geophys Res Solid Earth 97(B5):6553–6562

    Google Scholar 

  • Imperatori W, Mai PM (2012) Sensitivity of broad-band ground-motion simulations to earthquake source and Earth structure variations: an application to the Messina Straits (Italy). Geophys J Int 188(3):1103–1116. https://doi.org/10.1111/j.1365-246X.2011.05296.x

    Article  Google Scholar 

  • Irikura K, Kamae K (1994) Estimation of strong ground motion in broad-frequency band based on a seismic source scaling model and an empirical green’s function technique. Ann Geofisica 37(6):1721–1743

    Google Scholar 

  • IS:1893-1 (2016) Criteria for earthquake resistant design of structures, part 1: general provisions and buildings. Bureau of Indian Standards (BIS), New Delhi

  • Iyengar R, Chadha R, Balaji Rao K, Raghukanth STG (2010) Development of probabilistic seismic hazard map of India. The National Disater Management Authority, p 86

  • Jayalakshmi S, Raghukanth STG (2016) Regional ground motion simulation around Delhi due to future large earthquake. Nat Hazards 82(3):1479–1513

    Google Scholar 

  • Jayalakshmi S, Dhanya J, Raghukanth STG, Mai PM (2020) 3D seismic wave amplification in the Indo-Gangetic basin from spectral element simulations. Soil Dyn Earthq Eng 129:105923

    Google Scholar 

  • Kanno T, Narita A, Morikawa N, Fujiwara H, Fukushima Y (2006) A new attenuation relation for strong ground motion in Japan based on recorded data. Bull Seismol Soc Am 96(3):879–897

    Google Scholar 

  • Kayal J (2008) Microearthquake seismology and seismotectonics of South Asia. Springer, Berlin

    Google Scholar 

  • Khattri K (1987) Great earthquakes, seismicity gaps and potential for earthquake disaster along the Himalaya plate boundary. Tectonophysics 138(1):79–92. https://doi.org/10.1016/0040-1951(87)90067-9

    Article  Google Scholar 

  • Khattri K (1999) Probabilities of occurrence of great earthquakes in the Himalaya. Proc Indian Acad Sci Earth Planetary Sci 108(2):87–92

    Google Scholar 

  • Komatitsch D, Tromp J (1999) Introduction to the spectral element method for three-dimensional seismic wave propagation. Geophys J Int 139(3):806–822

    Google Scholar 

  • Komatitsch D, Liu Q, Tromp J, Suss P, Stidham C, Shaw JH (2004) Simulations of ground motion in the Los Angeles basin based upon the spectral-element method. Bull Seismol Soc Am 94(1):187–206

    Google Scholar 

  • Kumar N, Parvez IA, Virk H (2005) Estimation of coda wave attenuation for NW Himalayan region using local earthquakes. Phys Earth Planet Inter 151(3–4):243–258

    Google Scholar 

  • Liu P, Archuleta RJ, Hartzell SH (2006) Prediction of broadband ground-motion time histories: hybrid low/high-frequency method with correlated random source parameters. Bull Seismol Soc Am 96(6):2118–2130. https://doi.org/10.1785/0120060036

    Article  Google Scholar 

  • Mai PM (2009) Ground motion: complexity and scaling in the near field of earthquake ruptures. In: Encyclopedia of complexity and systems science, pp 4435–4474

  • Mai PM, Beroza G (2003) A hybrid method for calculating near-source, broadband seismograms: application to strong motion prediction. Phys Earth Planet Inter 137(1):183–199. https://doi.org/10.1016/S0031-9201(03)00014-1

    Article  Google Scholar 

  • Mai PM, Spudich P, Boatwright J (2005) Hypocenter locations in finite-source rupture models. Bull Seismol Soc Am 95(3):965. https://doi.org/10.1785/0120040111

    Article  Google Scholar 

  • Mai PM, Imperatori W, Olsen KB (2010) Hybrid broadband ground-motion simulations: combining long-period deterministic synthetics with high-frequency multiple s-to-s backscattering. Bull Seismol Soc Am 100(5A):2124–2142

    Google Scholar 

  • Olsen K (2000) Site amplification in the Los Angeles basin from three-dimensional modeling of ground motion. Bull Seismol Soc Am 90(6B):S77–S94

    Google Scholar 

  • Podili B, Raghukanth STG (2019) Ground motion prediction equations for higher order parameters. Soil Dyn Earthq Eng 118:98–110

    Google Scholar 

  • Raghukanth S, Nadh Somala S (2009) Modeling of strong-motion data in Northeastern India: Q, stress drop, and site amplification. Bull Seismol Soc Am 99(2A):705–725

    Google Scholar 

  • Sharma J, Chopra S, Roy KS (2013) Estimation of source parameters, quality factor (QS), and site characteristics using accelerograms: Uttarakhand Himalaya Region. Bull Seismol Soc Am 104(1):360–380. https://doi.org/10.1785/0120120304

    Article  Google Scholar 

  • Singh S, Mohanty W, Bansal B, Roonwal G (2002) Ground motion in Delhi from future large/great earthquakes in the central seismic gap of the Himalayan arc. Bull Seismol Soc Am 92(2):555–569

    Google Scholar 

  • Singh S, Srinagesh D, Srinivas D, Arroyo D, Pérez-Campos X, Chadha R, Suresh G, Suresh G (2017) Strong ground motion in the Indo-Gangetic plains during the 2015 Gorkha, Nepal, earthquake sequence and its prediction during future earthquakes. Bull Seismol Soc Am 107(3):1293–1306

    Google Scholar 

  • Somerville P, Irikura K, Graves R, Sawada S, Wald D, Abrahamson N, Iwasaki Y, Kagawa T, Smith N, Kowada A (1999) Characterizing crustal earthquake slip models for the prediction of strong ground motion. Seismol Res Lett 70(1):59–80

    Google Scholar 

  • Spudich P, Frazer LN (1984) Use of ray theory to calculate high-frequency radiation from earthquake sources having spatially variable rupture velocity and stress drop. Bull Seismol Soc Am 74(6):2061–2082

    Google Scholar 

  • Srinivas D, Srinagesh D, Chadha R, Ravi Kumar M (2013) Sedimentary thickness variations in the Indo-Gangetic foredeep from inversion of receiver functions. Bull Seismol Soc Am 103(4):2257–2265

    Google Scholar 

  • Thingbaijam KKS, Mai PM, Goda K (2017) New empirical earthquake source-scaling laws. Bull Seismol Soc Am. https://doi.org/10.1785/0120170017

    Article  Google Scholar 

  • Tsai VC, Bowden DC, Kanamori H (2017) Explaining extreme ground motion in Osaka basin during the 2011 Tohoku earthquake. Geophys Res Lett 44(14):7239–7244

    Google Scholar 

  • Valdiya K (1976) Himalayan transverse faults and folds and their parallelism with subsurface structures of north Indian plains. Tectonophysics 32(3–4):353–386

    Google Scholar 

  • Valdiya KS (2014) Damming rivers in the tectonically resurgent Uttarakhand Himalaya. Curr Sci 2014:1658–1668

    Google Scholar 

  • Zeng Y (1993) Theory of scattered p-and s-wave energy in a random isotropic scattering medium. Bull Seismol Soc Am 83(4):1264–1276

    Google Scholar 

  • Zeng Y, Su F, Aki K (1991) Scattering wave energy propagation in a random isotropic scattering medium: 1 theory. J Geophys Res Solid Earth 96(B1):607–619

    Google Scholar 

Download references

Acknowledgements

This research is supported by King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia, Grants BAS/1339-01-01 and URF/1/3389-01-01. All the low frequency simulations have been performed at KAUST Supercomputing Laboratory (KSL), and we thank the support of KSL staff.

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Correspondence to S. Jayalakshmi.

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Jayalakshmi, S., Dhanya, J., Raghukanth, S.T.G. et al. Hybrid broadband ground motion simulations in the Indo-Gangetic basin for great Himalayan earthquake scenarios. Bull Earthquake Eng 19, 3319–3348 (2021). https://doi.org/10.1007/s10518-021-01094-0

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