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Synthetic Ground Motion Simulation for Varanasi City

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Local Site Effects and Ground Failures

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 117))

Abstract

Varanasi (latitude 25°28′ N and longitude 82°96′ E), the cultural capital of India, is presently clustered with a maze of ancient narrow lanes (Gullies) and old buildings. Being a sacred city, it is not well planned and structured, due to lack of adherence to earthquake-resistant building design philosophies and techniques. Consequently, even a smaller magnitude of an earthquake can cause a considerable loss. The city is also near to Faizabad ridge, which has been seismically sedentary for last 300 years. Due to unavailability of earthquake ground motion (G.M.) records in this region, it is necessary to simulate G.M. based on regional seismic data. In this regard, the stochastic approach has been adopted for the synthesis of G.M. at bedrock level. An EXSIM methodology has been used in this study for synthesis of strong G.M. for various identified faults (Allahabad Fault, Azamgarh Fault, Gorakhpur Fault, Deoria Fault, Lucknow Fault, Siwan Fault, Shajhanpur Fault and Great Boundary Fault) around the city. Various stress drops 70, 100, 125, 150, 175 and 200 bars have been taken for simulations to account for uncertainty in stress drop. Acceleration time histories due to various faults for Varanasi city has been simulated and plotted. The maximum PGA estimated was 0.078 g for Azamgarh Fault at 200 bar among all the faults around the city. Further Response Spectra has been plotted for stress drop (70–200 bar).

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References

  1. Atkinson GM, Boore DM (2006) Earthquake ground-motion prediction equations for eastern North America. Bull Seismol Soc Am 96(6):2181–2205

    Article  Google Scholar 

  2. Nath SK, Raj A, Thingbaijam KKS, Kumar A (2009) G.M. synthesis and seismic scenario in Guwahati city—a stochastic approach. Seismolo Res Lett 80(2):233–242

    Google Scholar 

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

    Article  Google Scholar 

  4. Irikura K (1986) Prediction of strong acceleration motion using empirical Green’s function. In: Proceedings of 11th Japan earthquake engineering symposium, vol 151, pp 151–156

    Google Scholar 

  5. Esteva L, Rosenblueth E (1964) Espectros de temblores a distancias moderadas y grandes. Boletin Sociedad Mexicana de Ingenieria Sesmica 2:1–18 In Spanish

    Google Scholar 

  6. Abrahamson NA, Shedlock KM (1997) Overview. Seismol Res Lett 68(1):9–23

    Article  Google Scholar 

  7. Baker JW, Jayaram N (2008) Correlation of spectral acceleration values from NGA G.M. models. Earthq Spectra 24(1):299–317

    Google Scholar 

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

    Google Scholar 

  9. Joyner WB, Boore DM (1986) On simulating large earthquakes by Green's-function addition of smaller earthquakes. Earthquake source mechanics. American Geophysical Union Monograph 37, pp 269—274

    Google Scholar 

  10. Motazedian D, Atkinson GM (2005) Stochastic finite-fault modeling based on a dynamic corner frequency. Bull Seismol Soc Am 95(3):995–1010

    Article  Google Scholar 

  11. Brune JN (1970) Tectonic stress and the spectra of seismic shear waves from earthquakes. J Geophys Res 75(26):4997–5009

    Article  Google Scholar 

  12. Hartzell S, Harmsen S, Frankel A, Larsen S (1999) Calculation of broadband time histories of G.M.: comparison of methods and validation using strong-G.M. from the 1994 Northridge earthquake. Bull Seismol Soc Am 89(6):1484–1504

    Google Scholar 

  13. Olsen KB, Madariaga R, Archuleta RJ (1997) Three-dimensional dynamic simulation of the 1992 Landers earthquake. Science 278(5339):834–838

    Article  Google Scholar 

  14. Kozdon JE, Dunham EM (2013) Rupture to the trench: dynamic rupture simulations of the 11 March 2011 Tohoku earthquake. Bull Seismol Soc Am 103(2B):1275–1289

    Article  Google Scholar 

  15. 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

    Article  Google Scholar 

  16. Dewey JF, Bird JM (1970) Mountain belts and the new global tectonics. J Geophys Res 75(14):2625–2647

    Article  Google Scholar 

  17. Sinha R, Tandon SK, Gibling MR, Bhattacharjee PS, Dasgupta AS (2005) Late quaternary geology and alluvial stratigraphy of the Ganga basin. Himalayan Geol 26(1):223–240

    Google Scholar 

  18. Valdiya KS (1976) Himalayan transverse faults and their parallelism with subsurface structures of north Indian plains. Tectonophysics 32:352–386

    Article  Google Scholar 

  19. Quittmeyer RC, Jacob KH (1979) Historical and modern seismicity of Pakistan, Afghanistan, northwestern India, and southeastern Iran. Bull Seismol Soc Am 69(3):773–823

    Google Scholar 

  20. IS 1893 (2016) Criteria for earthquake resistant design of structures, part 1—general provisions and buildings (Fifth Revision). Bureau of Indian Standards, New Delhi

    Google Scholar 

  21. Nadeshda TNN (2004) Lucknow is on earthquake list. Times of India. https://timesofindia.indiatimes.com/city/lucknow/Lucknow-isonearthquakelist/articleshow/679471.cms. Accessed 17 June 2018

  22. Dasgupta et al (2000) Seismotectonic atlas of India and its environs. Geological Survey of India, Kolkata

    Google Scholar 

  23. Singh SK, Garcia D, Pacheco JF, Valenzuela R, Bansal BK, Dattatrayam RS (2004) Q of the Indian shield. Bull Seismol Soc Am 94(4):1564–1570

    Article  Google Scholar 

  24. Kayal JR (2008) Microearthquake seismology and seismotectonics of South Asia, 1st edn. Springer

    Google Scholar 

  25. Hanks TC, McGuire RK (1981) The character of high-frequency strong G.M. Bull Seismol Soc Am 71(6):2071–2095

    Google Scholar 

  26. Boore DM (1983) Stochastic simulation of high-frequency G.M.s based on seismological models of the radiated spectra. Bull Seismol Soc Am 73(6A):1865–1894

    Google Scholar 

  27. Beresnev IA, Atkinson GM (1997) Modeling finite-fault radiation from the ω n spectrum. Bull Seismol Soc Am 87(1):67–84

    Google Scholar 

  28. 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(5):1969–1993

    Google Scholar 

  29. Rodolfo Saragoni G, Hart GC (1973) Simulation of artificial earthquakes. Earthq Eng Struct Dyn 2(3):249–267

    Article  Google Scholar 

  30. Boore DM, Joyner WB, Fumal TE (1997) Equations for estimating horizontal response spectra and peak acceleration from western North American earthquakes: a summary of recent work. Seismol Res Lett 68(1):128–153

    Article  Google Scholar 

  31. Chandler AM, Lam NTK, Tsang HH (2006) Near-surface attenuation modelling based on rock shear-wave velocity profile. Soil Dyn Earthq Eng 26(11):1004–1014

    Article  Google Scholar 

  32. Singh SK, Dattatrayam RS, Shapiro NM, Mandal P, Pacheco JF, Midha RK (1999) Crustal and upper mantle structure of Peninsular India and source parameters of the 21 May 1997, Jabalpur earthquake (Mw=5.8): results from a new regional broadband network. Bull Seismol Soc Am 89(6):1631–1641

    Google Scholar 

  33. Mitra S, Priestley K, Bhattacharyya AK, Gaur VK (2005) Crustal structure and earthquake focal depths beneath northeastern India and southern Tibet. Geophys J Int 160(1):227–248

    Article  Google Scholar 

  34. Mohanty WK, Prakash R, Suresh G, Shukla AK, Walling MY, Srivastava JP (2009) Estimation of coda wave attenuation for the National Capital region, Delhi, India using local earthquakes Pure. Appl Geophys 166:429–449

    Article  Google Scholar 

  35. 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

    Google Scholar 

  36. Mark RK (1977) Application of linear statistical models of earthquake magnitude versus fault length in estimating maximum expectable earthquakes. Geology 5(8):464–466

    Article  Google Scholar 

  37. U.S. Geological Survey (2018) Earthquake facts and statistics. https://earthquake.usgs.gov/earthquakes/eventpage/us20002926#general_region. Accessed 25 Mar 2018

  38. Khattri KN, Yu G, Anderson JG, Brune JN, Zeng Y (1994) Seismic hazard estimation using modelling of earthquake strong G.M.s: a brief analysis of 1991 Uttarkashi earthquake Himalaya and prognostication for a great earthquake in the region. Curr Sci 343–353

    Google Scholar 

  39. Mitra S, Paul H, Kumar A, Singh SK, Dey S, Powali D (2015) The 25 April 2015 Nepal earthquake and its aftershocks. Curr Sci 108(10):1938–1943

    Google Scholar 

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Authors and Affiliations

  1. MNNIT Allahabad, Prayagraj, 211004, India

    Manjari Singh, S. K. Duggal & V. P. Singh

  2. NIT Jamshedpur, Jamshedpur, 831014, India

    Keshav Kumar Sharma

Authors
  1. Manjari Singh
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  2. S. K. Duggal
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  3. V. P. Singh
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  4. Keshav Kumar Sharma
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Correspondence to Manjari Singh .

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Editors and Affiliations

  1. Indian Institute of Technology Guwahati, Guwahati, Assam, India

    T. G. Sitharam

  2. Department of Earthquake Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Ravi Jakka

  3. Department of Civil Engineering, Bangalore University, Bengaluru, Karnataka, India

    L. Govindaraju

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Singh, M., Duggal, S.K., Singh, V.P., Sharma, K.K. (2021). Synthetic Ground Motion Simulation for Varanasi City. In: Sitharam, T.G., Jakka, R., Govindaraju, L. (eds) Local Site Effects and Ground Failures. Lecture Notes in Civil Engineering, vol 117. Springer, Singapore. https://doi.org/10.1007/978-981-15-9984-2_6

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  • DOI: https://doi.org/10.1007/978-981-15-9984-2_6

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