Codal provisions of seismic hazard in Northeast India

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Codal provisions of seismic hazard in Northeast India Sandip Das 1, Vinay K. Gupta 1, * and Ishwer D. Gupta 2 1 Department of Civil Engineering, Indian Institute of Technology, Kanpur 208 016, India 2 Central Water and Power Research Station, Pune 411 024, India Seismic hazard maps have been prepared for Northeast India in the form of uniform hazard contours for pseudo-spectral acceleration at stiff sites. These maps are for the horizontal component of ground motion and for different values of exposure time, confidence level and natural period. A comparison with the codal provisions given by the Bureau of Indian Standards code (IS 1893 (Part 1): 2002) shows that the pseudospectral accelerations specified in the code for Northeast India are broadly consistent with the hazard level corresponding to 10% probability of exceedance and 50 years service life, and that the present practice of specifying seismic hazard through peak ground acceleration and a fixed spectral shape may be inappropriate for structures in most areas of the region. Keywords: Codal provisions, Northeast India, PSHA, uniform hazard contours. DAS et al. 1 have carried out a probabilistic seismic hazard analysis (PSHA) of Northeast India based on a regionalization-free seismicity model and by adopting the PSHA formulation of Anderson and Trifunac 2,3. They have obtained significantly varying seismic hazard levels over the region in the form of pseudo-spectral acceleration (PSA) response for both horizontal and vertical motions. Their study is first of its kind for the region, as it attempts to directly estimate the hazard levels in terms of structural response. This article compares the findings of their analysis with the hazard levels specified by the Indian standard code 4, IS 1893 (Part 1): 2002. According to this code, the seismic hazard levels in Northeast India are specified via MCE levels of effective peak ground acceleration (PGA) for seismic zone V, and a fixed spectral shape. Though it is not explicitly clear, it appears from the foreword of the code that the MCE level is assumed to correspond to 100 years exposure time and 50% confidence level. Comparisons are carried out by considering uniform hazard contours for (i) 50 years exposure time and 90% confidence level, and (ii) 100 years exposure time and 50% confidence level, at ten different natural periods. A brief review of the procedure followed by Das et al. 1 is given first for the sake of completeness. This is followed by comparison with the codal provisions. *For correspondence. (e-mail: vinaykg@iitk.ac.in) 2004 PSHA procedure: a brief review PSHA is based on evaluating the probability distribution function for the amplitude z of a hazard parameter Z, at a site due to all the earthquakes expected to occur during an exposure period of Y years in the region around the site. Under the Poissonian assumption, this probability distribution is defined as P(Z > z) = 1 exp{ Yν(z)}, (1) where ν(z) is the average occurrence rate of the earthquake events. It is defined as I J ν( z) = qz ( Mj, Ri) nm ( j, Ri), (2) i= 1 j= 1 where q(z M j, R i ) is the probability of exceeding z due to an event of size M j at distance R i. It is obtained from the attenuation relationship for the hazard parameter Z. This relationship has been developed by Das et al. 1 for 5% damping pseudo-spectral velocity (PSV) spectrum with the help of 261 accelerograms recorded at stiff sites for six earthquake events. The relationship is given as: log[psv( pt, )] = c ( T) + c ( T) M + c ( Th ) 1 2 3 2 2 4 5 + c ( T)log( R + h ) + c ( Tv ) + ε( pt, ), where M is the magnitude of the earthquake event, R the epicentral distance, h the focal depth, c i s the estimated regression coefficients, ν =0 for horizontal motions, and ε(p, T) is the normally distributed error residual term. For a given z, ε(p, T) is determined corresponding to M = M j and R = R i. This leads to p on using the normal distribution parameters given by Das et al. 1, and thus to q(z M j, R i ) = 1 p. In eq. (2), the quantity n(m j, R i ) is the annual rate of occurrence of the (M j, R i ) event. As the magnitude and distance are both continuous variables, for practical applications, they are discretized into small intervals with central values, M j and R i. Summations over i and j in eq. (2) are thus taken over the total number of distance intervals, I, and the magnitude intervals, J respectively. Following is the procedure used for obtaining the seismicity n(m j, R i ). (3)

A regionalization-free approach is adopted to define the seismicity of Northeast India. Figure 1 shows the significant earthquakes (magnitude above 5.0) with the major tectonic features in Northeast India 5. The entire area lying between 21 30 lat. and 88 97 long. is sub-divided into a 0.1 lat. and 0.1 long. grid. The seismicity, n(m j, R i ), for each site is now evaluated by fitting the G R recurrence relation 6 δm j δm j N ( M j) = N M j N M j +, 2 2 which is then spatially distributed based on the smoothened observed probability distribution function of the epicen- (5) log N(M) = a bm, (4) to the past earthquake data within a circular area of 300 km radius around the site. In eq. (4), N(M) is the annual occurrence rate of earthquakes with magnitudes greater than or equal to M, and a and b are the constants obtained for the area of 300 km radius around each of the grid points by fitting a least square straight line. The earthquake catalogue used covers the period from 1458 to 2000, where the data up to 1979 are taken from Bapat et al. 7, and from the USGS website for the subsequent period. To minimize the effects of incompleteness of the catalogue, the empirical method proposed by Stepp 8 has been adopted. Table 1 shows the values of a and b for selected grid points that are located at the interval of 1 in both directions. Also shown in Table 1 are the values of root-meansquare (rms) error in log N(M) associated with the use of eq. (4). Figure 2 shows a comparison of the actual values of log N(M) with estimates based on eq. (4) in case of the grid point at 27 lat. and 94 long. The annual rate, N(M), is determined for different values of magnitude from M min = 4.0 to M max = 8.5. These are used to obtain the number of earthquakes, N (M j ), with magnitudes between M j δm j /2 and M j + δm j /2 as Figure 1. Epicentres of past earthquakes with major tectonic features in Northeast Indian region (after Verma et al. 5 ). Figure 2. Fitting of G R relationship to the observed variation of log N(M) with M in case of the grid point at 27 lat. and 94 long. Table 1. Values of a and b with rms error in case of 30 grid points Latitude Longitude (in degrees) (in degrees) a b rms error 22 93 5.3930 0.9831 0.0805 23 93 5.0640 0.8961 0.1135 24 92 4.8090 0.8668 0.1202 24 93 5.1830 0.9039 0.1075 24 94 5.1800 0.8924 0.0830 25 92 4.7580 0.8590 0.1168 25 93 5.2310 0.9133 0.1111 25 94 5.1540 0.8869 0.0762 26 90 4.1170 0.7819 0.1235 26 91 4.3560 0.8105 0.0612 26 92 4.5980 0.8378 0.1159 26 93 4.9730 0.8698 0.0874 26 94 5.0810 0.8831 0.0488 26 95 4.8450 0.8364 0.0730 27 90 4.3200 0.8132 0.1501 27 91 4.3230 0.8048 0.1146 27 92 4.2800 0.7851 0.0797 27 93 4.6370 0.8383 0.1236 27 94 4.5930 0.8097 0.1563 27 95 4.8040 0.8489 0.0857 27 96 4.4830 0.8098 0.0905 28 92 4.3570 0.8065 0.0836 28 93 4.8720 0.9137 0.0993 28 94 4.6150 0.8397 0.1305 28 95 4.5400 0.8267 0.1314 28 96 4.2020 0.7784 0.1306 28 97 3.9220 0.7426 0.1171 29 94 4.2560 0.7931 0.1411 29 95 4.0680 0.7846 0.2351 29 96 3.9840 0.7635 0.1910 2005

a b c Figure 3. Hazard map for horizontal PSA (in g) at T = 0.04 s (a), T = 0.17 s (b), T = 1.0 s and (c) in case of Y = 100 years and P = 0.5. tral distance, F(R). The expected rate of events in a distance range (R i δr i /2, R i + δr i /2) is finally obtained as 2006 n(m j, R i ) = N(M j )[F(R i + δr i /2) F(R i δr i /2)]. (6) Earthquake magnitude is discretized into nine intervals with central magnitudes M j = 4.25, 4.75, 5.25,, 8.25 and δm j = 0.5 for all the intervals. Further, the 300 km radius circular area around the site is sub-divided into 50 annular elements, equispaced on logarithmic scale, with R i as the radius of the median circle of the annular ring. Once the probability distribution P(Z > z) (see eq. (1)) is determined, UHS are obtained for all the grid points and seismic hazard maps are drawn in terms of Z contours. Here, we obtain the UHS for PSV spectrum at natural period, T and determine the seismic hazard maps in terms of PSA (in g) contours. Comparison with Indian standard provisions According to the Indian Standard code 4, IS 1893 (Part 1): 2002, the entire Northeast Indian region falls under seismic

a b c Figure 4. Hazard map for horizontal PSA (in g) at T = 0.04 s (a), T = 0.17 s (b), T = 1.0 s and (c) in case of Y = 50 years and P = 0.1. zone V associated with the highest hazard level in India. For this region, the hazard levels (in terms of 5% damping horizontal PSA) are specified via the multiplication of zone factor equal to 0.36 with a spectral shape (normalized to unit PGA). This leads to PSA values at ten different time periods, as shown in Table 2 for all stiff sites of Northeast India. The zone factor used for these values corresponds to the MCE level which is apparently assumed to correspond to 100 years exposure time and 50% confidence level, i.e. 144 years return period. Figure 3 a c shows hazard maps for 5% damping PSA at T = 0.04, 0.17, and 1.0 s respectively, for Y = 100 years, P = 0.5 and horizontal component of ground motion. It may be observed from Figure 3 that the difference between the minimum and maximum hazard levels in any of the maps is about 45% of the maximum. Considering that the difference between the zone factor for seismic zone IV is two-thirds of that for seismic zone V, the hazard levels in Northeast India according to PSHA correspond to two seismic zones instead of just one. Thus, considering the entire Northeast India in a single zone V with uniform hazard levels may not be justified. Further, the maximum codal value of hazard in Northeast India is 0.9 g (see Table 2), which is close to the highest PSHA value of 1.1 g only 2007

Table 2. Comparison of PSHA and codal PSA values (in g) for horizontal component at different time periods PSHA values for P = 0.1 and Y = 50 yrs Period T (s) GH IT KH DG SH SC IM AZ AG Codal value 0.04 0.28 0.28 0.35 0.28 0.30 0.38 0.43 0.29 0.41 0.54 0.06 0.37 0.37 0.47 0.37 0.39 0.52 0.57 0.39 0.53 0.72 0.08 0.51 0.51 0.65 0.52 0.53 0.69 0.79 0.55 0.69 0.81 0.12 0.64 0.64 0.84 0.66 0.67 0.89 1.02 0.70 0.87 0.90 0.17 0.70 0.72 0.94 0.75 0.74 0.99 1.16 0.77 1.00 0.90 0.24 0.60 0.65 0.85 0.67 0.66 0.85 1.03 0.67 0.90 0.90 0.34 0.45 0.52 0.66 0.56 0.50 0.62 0.74 0.52 0.70 0.90 0.48 0.31 0.37 0.43 0.38 0.36 0.41 0.47 0.37 0.48 0.86 0.70 0.30 0.32 0.33 0.30 0.34 0.34 0.37 0.30 0.47 0.49 1.00 0.29 0.32 0.28 0.28 0.34 0.30 0.31 0.28 0.46 0.36 GH, Guwahati; IT, Itanagar; KH, Kohima; DG, Dibrugarh; SH, Shillong; SC, Silchar; IM, Imphal; AZ, Aizawl; AG, Agartala. for a small area near 28.5 lat. and 94 long. grid point at T = 0.17 s (see Figure 3 b). For most parts of the region, the maximum PSHA values are much lower (say by about 30%) than the maximum codal value. Considering that it is a worldwide practice to consider the return period of 475 years for seismic zoning, the hazard maps have also been obtained for P = 0.1 and Y = 50 years. Figure 4 a c shows the contour plots of horizontal PSA in case of Y = 50 years and P = 0.1 for T = 0.04, 0.17 and 1.0 s respectively. For convenience, Table 2 shows the PSHA values of PSA along with those prescribed by the code for major towns of the Northeast Indian region, viz. Guwahati, Itanagar, Kohima, Dibrugarh, Shillong, Silchar, Imphal, Aizawl, and Agartala, in case of T = 0.04, 0.06, 0.08, 0.12, 0.17, 0.24, 0.34, 0.48, 0.70 and 1.0 s. It may be observed that the codal values are now much closer to the PSHA values at several time periods and in most of the sites, though there is an overestimation of hazard at Guwahati by 177% for 0.48 s period structures on one extreme and there is an underestimation at Imphal by 23% for 0.17 s period structures on the other extreme (in case of big cities). The observed discrepancies (within these two extremes) between the codal and estimated values are due to the choice of a fixed spectral shape and due to specifying the same zone factor for the entire Northeast region in the code. The standard spectral shape in the code causes the peak hazard levels to remain unchanged up to T = 0.45 s, whereas the estimated PSA values start falling after T = 0.24 s. Moreover, a hazard level corresponding to zone V is specified uniformly at all sites, though the region has seismicity varying from somewhere between zone IV and zone V (say, at Guwahati) to that higher than zone V (say, at Imphal) according to PSHA. It is thus obvious that the seismic hazard levels specified by IS 1893 (Part 1): 2002 correspond to much higher levels than those for P = 0.5 and Y = 100 years, and that the period-independent zoning map together with the use of a single spectral shape are inadequate. Conclusion A comparison of the hazard maps based on PSHA has been carried out with those specified by IS 1893 (Part I): 2002 in case of 5% damping PSA as the hazard parameter. This shows that the zoning map together with a single spectral shape in the code corresponds to the comparable levels of seismic hazard from PSHA, provided the zone factors given in the code correspond to P = 0.1 and Y = 50 years (or 475 years of return period). Further, it is unrealistic to describe seismic hazard for structures of varying time periods in the entire Northeast Indian region using a single zone factor and a single spectral shape. The spectral shape in general may change from location to location and the proposed maps provide a basis to obtain the spectral shape specific to any particular location. 1. Das, S., Gupta, I. D. and Gupta, V. K., A probabilistic seismic hazard analysis of North-East India. Earthquake Spectra (in press), 2005. 2. Anderson, J. G. and Trifunac, M. D., On uniform risk functionals which describe strong earthquake ground motion: definition, numerical estimation, and an application to the Fourier amplitude of acceleration. Report CE 77-02, University of Southern California, Los Angeles, California, USA, 1977. 3. Anderson, J. G. and Trifunac, M. D., Uniform risk functionals for characterization of strong earthquake ground motion. Bull. Seismol. Soc. Am., 1978, 68, 205 218. 4. IS: 1893 (Part I), Criteria for earthquake-resistant design of structures: general provisions and buildings (fifth revision), Bureau of Indian Standards, New Delhi, 2002. 5. Verma, R. K., Mukhopadhyay, M. and Ahluwalia, M. S., Seismicity, gravity, and tectonics of Northeast India and Northern Burma. Bull. Seismol. Soc. Am., 1976, 66, 1683 1694. 6. Gutenberg, B. and Richter, C. F., Frequency of earthquakes in California, Bull. Seismol. Soc. Am., 1944, 34, 185 188. 7. Bapat, A., Kulkarni, R. C. and Guha, S. K., Catalogue of earthquakes in India and neighbourhood. Indian Soc. Earthq. Tech., Roorkee, 1983. 8. Stepp, J. C., Analysis of completeness of the earthquake sample in the Puget Sound area. In Seismic Zoning (ed. Harding, S. T.), Report ERL 267-ESL30, NOAA Tech, Boulder, Colorado, USA, 1973. Received 5 July 2005; revised accepted 14 October 2005 2008