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Simulation of near-field ground motion characteristics of May 01, 2013, Doda earthquake using modified semi-empirical approach

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Abstract

Strong ground motions are the most desirable for the earthquake-resistant design of structures. If the site at which a major construction is required has less ground motion records, then artificial ground motions will serve the purpose. In highly seismic areas like Kashmir and the Himalaya region, artificial ground motions are quite helpful. Artificial accelerograms can be generated either through analytical or numerical procedures. Several methods were suggested in the literature for generating artificial ground motions. However, suitability of method for the region is to be understood before application. The main objective of this paper is to generate synthetic accelerograms of May 01, 2013, Doda earthquake using modified semi-empirical approach. A MATLAB code is written to generate the ground motion records of 1991 Uttarkashi earthquake and also validate the results. Based on effectiveness of the code, the ground motion records of 2013 Doda earthquake is generated at three near-field seismic stations. The study reveals that the semi-empirical approach has effectively generated the ground motions at many stations. Simulated ground motions of the 2013 Doda earthquake are satisfactorily good at Chamba, Jammu and Palampur stations along FN and FP components. Also, the acceleration response spectra are fairly good at periods longer than 2.0 s.

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References

  • Ashish H, Sharma ML (2012) Stochastic ground-motion simulation of two Himalayan earthquakes: seismic hazard assessment perspective. J Seismol 16:345–369

    Article  Google Scholar 

  • Boore DM (1983) Stochastic simulation of high frequency ground motion based on seismological models of 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 160:635–675

    Article  Google Scholar 

  • Boore DM, Atkinson CM (1987) Stochastic prediction of ground motion and spectral response parameters at hard rock sites in eastern North America. Bull Seismol Soc Am 77:440–467

    Google Scholar 

  • Brune JN (1970) Tectonic stress and spectra of seismic shear waves from earthquakes. J Geophys Res 75:4997–5009

    Article  Google Scholar 

  • Cancani A (1904) Sur l'emploi d'une double echelle seismique des intesites, empirique et absolue. Gerlands Beitr Geophys 2:281–283

    Google Scholar 

  • Chourasia AP, Pradeep Kumar R, Anup K, Hari K, Jain AK, Murty CVR (2013) 01 May 2013 Doda earthquake post-earthquake reconnaissance survey report. National Disaster Management Authority, Post-Earthquake Reconnaissance Team, pp 1–42

  • Guttenberg B, Richter CF (1941) Earthquake magnitude, intensity, energy and acceleration. Bull Seismol Soc Am 32:163–191

    Google Scholar 

  • Hartzell SH (1978) Earthquake aftershocks as green functions. Geophys Res Lett 5:1–4

    Article  Google Scholar 

  • Hartzell SH (1982) Simulation of ground accelerations for May 1980 Mammoth Lakes, California earthquakes. Bull Seismol Soc Am 72:2381–2387

    Google Scholar 

  • Housner GW (1947) Characteristics of strong-motion earthquakes. Bull Seismmol Soc Am 37(1):19–31

    Google Scholar 

  • Irikura K (1986) Prediction of strong acceleration motion using empirical Green’s function. In: Proceedings of the 7th Japan earthquake engineering symposium, Tokyo, pp 151–156

  • Irikura K, Muramatu I (1982) Synthesis of strong ground motions from large earthquakes using observed seismograms of small events. In: Proceedings of the 3rd internet microzonation conference. Seattle, pp 447–458

  • Irikura K, Kagawa T, Sekiguchi H (1997) Revision of the empirical Green’s function method. In: Programme and abstracts of the seismological society of Japan, vol 2, p B25 (in Japanese)

  • Irukara K (1983) Semi empirical estimation of strong ground motion during large earthquakes. Bull Disaster Prev Res Inst 33:63–104

    Google Scholar 

  • Iyengar RN, Paul DK, Bhandari RK, Sinha R, Chadha RK, Prabhas P, Murty CVR, Shukla AK, Balaji KR, Raghukanth STG (2010) Development of probabilistic seismic hazard map of India, Report on the National Disaster Management Authority, Government of India, India

  • Joshi A, Midorikawa S (2004) A simplified method for simulation of strong ground motion using finite rupture model of the earthquake source. J Seismol 8:467–484

    Article  Google Scholar 

  • Joshi A, Mohan K (2008) Simulation of accelerograms from simplified deterministic approach for Niigata earthquake of 23 October 2004. J Seismol 12:35–51

    Article  Google Scholar 

  • Joshi A, Mohan K (2010) Expected peak ground acceleration in Uttarakhand Himalaya, India region from a deterministic hazard model. Nat. Hazards 52:299–317

    Article  Google Scholar 

  • Joshi A, Singh S, Giroti K (2001) The simulation of ground motions using envelope summations. Pure Appl Geophys 158:877–901

    Article  Google Scholar 

  • Joshi A, Pushpa K, Sandeep S, Sharma ML (2012a) Near-field and far-field simulation of accelerograms of Sikkim earthquake of September 18, 2011 using modified semi-empirical approach. Nat Hazards 64:1029–1054

    Article  Google Scholar 

  • Joshi A, Pushpa K, Sharma ML, Ghosh AK, Agarwal MK, Ravikiran A (2012b) A strong motion model of the 2004 great Sumatra earthquake: simulation using a modified semi empirical method. J Earthq Tsunami 6:1–29

    Article  Google Scholar 

  • Joshi A, Sandeep K, Kamal (2015) Modeling of strong motion generation area of the 2011 Tohoku, Japan, earthquake using modified semi empirical technique. Nat Hazards 77:933–957

    Article  Google Scholar 

  • Kamae K, Irikura K (1998) Source model of the 1995 Hyogo-ken Nanbu earthquake and simulation of near source ground motion. Bull Seismol Soc Am 88:400–412

    Google Scholar 

  • Kameda H, Sugito M (1978) Prediction of strong earthquake motions by evolutionary process model. In: Proceedings of the 6th Japan earthquake engineering symposium, pp 41–48

  • Kanamori H (1979) A semi empirical approach to prediction of long period ground motions from great earthquakes. Bull Seismol Soc Am 69:1645–1670

    Google Scholar 

  • Midorikawa S (1993) Semi-empirical estimation of peak ground acceleration from large earthquakes. Tectonophysics 218:287–295

    Article  Google Scholar 

  • Murty CVR, Ajay S, Hari K, Anup K, Pradeep RK (2013) Lessons from 1st May 2013 Doda (India) earthquake reiterate urgent need to mitigate seismic risk. Disaster Dev 7:114–130

    Google Scholar 

  • Raghukanth STG (2008) Ground motion estimation during the Kashmir earthquake of 8 October 2005. Nat Hazards 46:1–13

    Article  Google Scholar 

  • Rajaram C, Pradeep KR (2014) Near-field simulation of ground motions of 16 April 2013 Iran-Pakistan border earthquake using semi-empirical approach. J Seismol Earthq Eng 16:1–11

    Google Scholar 

  • Sato R (1989) Handbook of fault parameters of Japanese earthquakes, Kajima Tokyo (Japanese)

  • Sharma ML (1998) Attenuation relationship for estimation of peak ground horizontal acceleration using data from strong motion arrays in India. Bull Seismol Soc Am 88:1063–1069

    Google Scholar 

  • Sumer C, Vikas K, Anup S, Pankaj K (2012) Modeling of Strong ground motions for 1991 Uttarkashi, 1999 Chamoli earthquakes, and a hypothetical great earthquake in Garhwal-Kumaun Himalaya. Nat Hazards 64:1141–1159

    Article  Google Scholar 

  • Yu G (1994) Some aspects of earthquake seismology: slip portioning along major convergent plate boundaries: composite source model for estimation of strong motion and non linear soil response modeling. Ph.D. thesis, University of Nevada

  • Yu G, Khattri KN, Anderson JG, Brune JN, Zeng Y (1995) Strong ground motion from the Uttarkashi earthquake, Himalaya, India, earthquake: comparison of observations with synthetics using the composite source model. Bull Seismol Soc Am 85:31–50

    Google Scholar 

  • Zeng Y, Anderson JG, Su F (1994) A composite source model for computing realistic synthetic strong ground motions. Geophys Res Lett 21:725–728

    Article  Google Scholar 

Download references

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Correspondence to Rajaram Chenna.

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Chenna, R., Ramancharla, P. Simulation of near-field ground motion characteristics of May 01, 2013, Doda earthquake using modified semi-empirical approach. Nat Hazards 82, 1411–1430 (2016). https://doi.org/10.1007/s11069-016-2215-2

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  • DOI: https://doi.org/10.1007/s11069-016-2215-2

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