A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Saikia, Utpal
- Accurate Location and Focal Mechanism of Small Earthquakes near Idukki Reservoir, Kerala: Implication for Earthquake Genesis
Authors
1 CSIR-National Geophysical Research Institute, Hyderabad 500 007, IN
2 Department of Geophysics, Andhra University, Visakhapatnam 530 003, IN
Source
Current Science, Vol 107, No 11 (2014), Pagination: 1885-1891Abstract
Earthquake waveform from a new temporary network of 21 seismic stations in South India has been used to significantly improve the detection threshold and parameters of small earthquakes near Idukki Reservoir, Kerala. We present here precise location of 16 earthquakes in this region with a local magnitude of 1.5-3.6 and focal depth 7.2-9.9 km. Fault plane solutions of the selected best six earthquakes show strikeslip faulting and right lateral movement. Reservoir loading usually leads to generation of stress and therefore earthquakes in the shallow depth (< 5 km), that are absent in the region of Idukki Reservoir. Recorded earthquakes are confined to a NW-SE trending fault close to Karur-Kamabam-Painavu-Trichur (KKPT) shear zone. These observations suggest that the earthquakes in Idukki region are tectonic in nature and have no linkage with the reservoir.Keywords
Earthquake Location, Fault Plane Solution, Reservoir, Tectonics.- Estimation of Strong Ground Motion in Southern Peninsular India by Empirical Green's Function Method
Authors
1 CSIR-National Geophysical Research Institute, Hyderabad 500 007, IN
2 School of Engineering, Indian Institute of Technology-Mandi, Kamand 175 005, IN
3 Department of Civil Engineering, Indian Institute of Technology-Madras, Chennai 600 036, IN
Source
Current Science, Vol 112, No 11 (2017), Pagination: 2273-2283Abstract
In the present study, strong motions are estimated at 17 stations in Southern Peninsular India (SPI) for the 7 February 1900 Coimbatore earthquake (Mw 6) using the empirical Green's function (EGF) method. The broadband recordings of three small earthquakes of ML 3.5, 2.9 and 3.0 respectively, are taken as EGFs to simulate ground motion. The slip distribution of the main event is considered as a von Karman random field. The stress drops of the three small events estimated from finite fault stochastic seismological model lie between 130 and 140 bars. The peak ground acceleration (PGA) values, an ensemble of acceleration time histories and response spectra, are estimated at all the 17 stations using corresponding EGFs, and the mean response spectra are reported. Another estimate of PGA is also obtained using the stochastic seismological model. The estimated PGA values from the two methods are compared to check the consistency of the results. It is observed that the mean PGA values are within the bounds of the maximum and minimum PGA values obtained from the EGF method, while the differences at some stations can be attributed to the local site conditions.
The ground motions simulated in the present study can be used to perform nonlinear dynamic analysis for future and existing structures in the SPI region for any event of magnitude Mw 6.
Keywords
Empirical Green’s Function, Ground Motion, Peak Ground Acceleration, Response Spectra, Stochastic Finite Fault Model.References
- Rajendran, C. P., John, B., SreeKumari, K and Rajendran, K., Reassessing the earthquake hazard in Kerala based on the historical and current seismicity. J. Geol. Soc. India, 2009, 73, 785–802.
- Iyengar, R. N. and Raghukanth, S. T. G., Attenuation of strong ground motion in Peninsular India. Seismol. Res. Lett., 2004, 75(4), 530–540.
- Raghukanth, S. T. G. and Iyengar, R. N., Estimation of seismic spectral acceleration in Peninsular India. J. Earth Syst. Sci., 2007, 116(3), 199–214.
- IS 1893, Criteria for earthquake resistant design of structures. Bureau of Indian Standards, Part 1, General Provisions and Buildings, 2002.
- Hartzell, S. H., Earthquake aftershocks as Green’s functions. Geophys. Res. Lett., 1978, 5, 1–4.
- Frankel, A., Simulating strong motion of large earthquakes using recordings of small earthquakes: the Loma Prieta mainshock as test case. Bull. Seismol. Soc. Am., 1995, 85, 1144–1160.
- Raghukanth, S. T. G. and Kavitha, B., Stochastic finite fault modeling of subduction zone earthquakes in northeastern India. Pure Appl. Geophys., 2013, 170, 1705–1727.
- NDMA Report, Development of probabilistic seismic hazard map of India. Final Technical Report of the Working Committee of Experts, constituted by the National Disaster Management Authority, Government of India, 2010.
- Rai, S. S. et al., The South India Precambrian crust and shallow lithospheric mantle: Initial results from the India Deep Earth Imaging Experiment (INDEX). J. Earth Syst. Sci., 2013, 122(6), 1435–1453.
- Rajendran, K. P., Talwani, P. and Gupta, H. K., State of stress in the Indian subcontinent: a review. Curr. Sci., 1992, 62, 86–93.
- Saikia, U., Rai, S. S., Subrahmanyam, M., Dutta, S., Bose, S., Borah, K. and Meena, R., Accurate location and focal mechanism of small earthquakes near Idukki Reservoir, Kerala: implication for earthquake genesis. Curr. Sci., 2014, 107, 1884–1891.
- Bhattacharya, S. N. and Dattatrayam, R. S., Earthquake sequence in Kerala during December 2000 and January 2001. Curr. Sci., 2002, 82, 1275–1278.
- Pitarka, A., Somerville, P., Fukushima, Y., Uetake, T. and Irikura, K., Simulation of near-fault strong-ground motion using hybrid Green’s functions. Bull. Seismol. Soc. Am., 2000, 90, 566–586.
- Hanks, T. C. and Kanamori, H., A moment magnitude scale. J. Geo-Phys. Res., 1979, 84, 2348–2350.
- Mai, P. M. and Beroza, G. C., A spatial random field model to characterize complexity in earthquake slip. J. Geophys. Res., 2002; doi:10.1029/2001JB000588.
- Shinozuka, M. and Deodatis, G., Simulation of multi-dimensional Gaussian stochastic fields by spectral representation. Appl. Mech. Rev., 1996, 49(1), 29–53.
- Boore, D. M., Comparing stochastic point-source and finite-source ground-motion simulations: SMSIM and EXSIM. Bull. Seismol. Soc. Am., 2009, 99, 3202–3216.
- Boore, Simulation of ground motion using the stochastic method. Pure Appl. Geophys., 2003, 160, 635–676.
- Aki, K., Scaling law of seismic spectrum. J. Geophys. Res., 1967, 72, 1217–1231.
- Brune, J. N., Tectonic stress and the spectra of seismic shear waves from earthquakes. J. Geophys. Res., 1970, 75, 4997–5009.
- Motazedian, D. and Atkinson, G. M., Stochastic finite-fault modeling based on a dynamic corner frequency. Bull. Seismol. Soc. Am., 2005, 95, 995–1010.
- Atkinson, G. M. and Boore, D. M., Earthquake ground-motion prediction equations for eastern North America. Bull. Seismol. Soc. Am., 2006, 96, 2181–2205.
- Singh, S. K., Garcia, D., Pacheco, J. F., Valenzuela, R., Bansal, B. K. and Dattatrayam, R. S., Q of the Indian Shield. Bull. Seismol. Soc. Am., 2004, 94, 1564–1570.
- Boore, D. M. and Boatwright, J., Average body-wave radiation coefficients. Bull. Seismol. Soc. Am., 1984, 74, 1615–1621.
- Chandler, A. M., Lam, N. T. K. and Tsang, H. H., Near-surface attenuation modelling based on rock shear-wave velocity profile. Soil Dyn. Earth Eng., 2006, 26, 1004–1014.
- Iman, R. C. and Conover, W. J., Small sample sensitivity analysis techniques for computer models with an application to risk assessment. Commun. Stat. Theory Methods, 1980, A9(17), 1749–1842.
- Saragoni, G. R. and Hart, G. C., Simulation of artificial earthquakes. Earthquake Eng. Struct. Dyn. J., 1974, 2, 249–268.
- IBC, International Building Code, International Code Council (ICC), 2009.
- Hough, S. E. and Bilham, R., Site response of the Ganges Basin inferred from re-evaluated macroseismic observations from the 1897 Shillong 1905 Kangra and 1934 Nepal earthquakes. J. Earth Syst. Sci., 2008, 117, 773–782.