Estimation of seismic spectral acceleration in Peninsular India

Kanth, S. T. G. Raghu; Iyengar, R. N.

doi:10.1007/s12040-007-0020-8

Cited by 181 publications

(80 citation statements)

References 21 publications

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“…(2). The maximum magnitude (m u ) for each source was estimated based on maximum reported magnitude at the source plus 0.5 (Iyengar and Ghosh, 2004;Raghu Kanth and Iyengar, 2006). The recurrence relation for each fault, capable of producing earthquake magnitudes in the range m 0 to m u was calculated using the truncated exponential recurrence model developed by McGuire and Arabasz (1990), and it is given by the following expression:…”

Section: Seismic Hazard Analysismentioning

confidence: 99%

“…Deaggregation procedure followed here is similar to the one followed by Iyengar and Ghosh (2004), Raghu Kanth and Iyengar (2006) and …”

Section: Seismic Hazard Analysismentioning

confidence: 99%

“…The coefficients in Eq. (15), c 1 , c 2 , c 3 , and c 4 are obtained from Raghu Kanth and Iyengar (2007). The normal cumulative distribution function has a value which is most efficiently expressed in terms of the standard normal variables (z) which can be computed for any random variables using transformation as given below (Kramer, 1996):…”

Section: Seismic Hazard Analysismentioning

confidence: 99%

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Estimation of peak ground acceleration and spectral acceleration for South India with local site effects: probabilistic approach

Vipin

Anbazhagan

Sitharam

2009

Nat. Hazards Earth Syst. Sci.

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Abstract. In this work an attempt has been made to evaluate the seismic hazard of South India (8.0 • N-20 • N; 72 • E-88 • E) based on the probabilistic seismic hazard analysis (PSHA). The earthquake data obtained from different sources were declustered to remove the dependent events. A total of 598 earthquakes of moment magnitude 4 and above were obtained from the study area after declustering, and were considered for further hazard analysis. The seismotectonic map of the study area was prepared by considering the faults, lineaments and the shear zones in the study area which are associated with earthquakes of magnitude 4 and above. For assessing the seismic hazard, the study area was divided into small grids of size 0.1 • ×0.1 • , and the hazard parameters were calculated at the centre of each of these grid cells by considering all the seismic sources with in a radius of 300 km. Rock level peak horizontal acceleration (PHA) and spectral acceleration (SA) values at 1 s corresponding to 10% and 2% probability of exceedance in 50 years have been calculated for all the grid points. The contour maps showing the spatial variation of these values are presented here. Uniform hazard response spectrum (UHRS) at rock level for 5% damping and 10% and 2% probability of exceedance in 50 years were also developed for all the grid points. The peak ground acceleration (PGA) at surface level was calculated for the entire South India for four different site classes. These values can be used to find the PGA values at any site in South India based on site class at that location. Thus, this method can be viewed as a simplified method to evaluate the PGA values at any site in the study area.

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Section: Seismic Hazard Analysismentioning

confidence: 99%

“…Deaggregation procedure followed here is similar to the one followed by Iyengar and Ghosh (2004), Raghu Kanth and Iyengar (2006) and …”

Section: Seismic Hazard Analysismentioning

confidence: 99%

Section: Seismic Hazard Analysismentioning

confidence: 99%

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Estimation of peak ground acceleration and spectral acceleration for South India with local site effects: probabilistic approach

Vipin

Anbazhagan

Sitharam

2009

Nat. Hazards Earth Syst. Sci.

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“…The above empirical relation (Eq. 2) developed based on a seismological model was compared by RAGHUKANTH and IYENGAR (2007) with the attenuation characteristics of bedrock motion for Eastern North America (TORO et al, 1997;CAMPBELL, 2003;ATKINSON and BOORE, 2006), and noted to be valid for its further use. Later, the recorded data of the 1967 Koyna earthquake at the rock site (A-type) supported the derived spectral acceleration for PI region using Eq.…”

Section: Probabilistic Seismic Hazard Analysismentioning

confidence: 99%

A New Insight into Probabilistic Seismic Hazard Analysis for Central India

Mandal

Shukla

Khan

et al. 2013

Pure Appl. Geophys.

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Abstract-The Son-Narmada-Tapti lineament and its surroundings of Central India (CI) is the second most important tectonic regime following the converging margin along HimalayasMyanmar-Andaman of the Indian sub-continent, which attracted several geoscientists to assess its seismic hazard potential. Our study area, a part of CI, is bounded between latitudes 18°-26°N and longitudes 73°-83°E, representing a stable part of Peninsular India. Past damaging moderate magnitude earthquakes as well as continuing microseismicity in the area provided enough data for seismological study. Our estimates based on regional GutenbergRichter relationship showed lower b values (i.e., between 0.68 and 0.76) from the average for the study area. The Probabilistic Seismic Hazard Analysis carried out over the area with a radius of *300 km encircling Bhopal yielded a conspicuous relationship between earthquake return period (T) and peak ground acceleration (PGA). Analyses of T and PGA shows that PGA value at bedrock varies from 0.08 to 0.15 g for 10 % (T = 475 years) and 2 % (T = 2,475 years) probabilities exceeding 50 years, respectively. We establish the empirical relationships ZPA These demonstrate that the ZPA values decrease with increasing shear wave velocity, suggesting a diagnostic indicator for designing the structures at a specific site of interest. The predictive designed response spectra generated at a site for periods up to 4.0 s at 10 and 2 % probability of exceedance of ground motion for 50 years can be used for designing duration dependent structures of variable vertical dimension. We infer that this concept of assimilating uniform hazard response spectra and predictive design at 10 and 2 % probability of exceedance in 50 years at 5 % damping at bedrocks of different categories may offer potential inputs for designing earthquake resistant structures of variable dimensions for the CI region under the National Earthquake Hazard Reduction Program for India.

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“…This has also been widely adopted in seismic microzonation studies (Anbazhagan and Sitharam 2008b;. These site classification schemes are then combined with a probabilistic approach to estimate the surface level hazard response parameters (Raghu Kanth and Iyengar 2007).…”

Section: Introductionmentioning

confidence: 99%

Influence of Rock Depth on Seismic Site Classification for Shallow Bedrock Regions

2013

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Seismic site classifications are used to represent site effects for estimating hazard parameters (response spectral ordinates) at the soil surface. Seismic site classifications have generally been carried out using average shear wave velocity and/or standard penetration test n-values of top 30-m soil layers, according to the recommendations of the National Earthquake Hazards Reduction Program (NEHRP) or the International Building Code (IBC). The site classification system in the NEHRP and the IBC is based on the studies carried out in the United States where soil layers extend up to several hundred meters before reaching any distinct soil-bedrock interface and may not be directly applicable to other regions, especially in regions having shallow geological deposits. This paper investigates the influence of rock depth on site classes based on the recommendations of the NEHRP and the IBC. For this study, soil sites having a wide range of average shear wave velocities (or standard penetration test n-values) have been collected from different parts of Australia, China, and India. Shear wave velocities of rock layers underneath soil layers have also been collected at depths from a few meters to 180 m. It is shown that a site classification system based on the top 30-m soil layers often represents stiffer site classes for soil sites having shallow rock depths (rock depths less than 25 m from the soil surface). A new site classification system based on average soil thickness up to engineering bedrock has been proposed herein, which is considered more representative for soil sites in shallow bedrock regions. It has been observed that response spectral ordinates, amplification factors, and site periods estimated using onedimensional shear wave analysis considering the depth of engineering bedrock are different from those Abstract: Seismic site classifications are used to represent site effects for estimating hazard parameters (response spectral ordinates) at the soil surface. Seismic site classifications have generally been carried out using average shear wave velocity and/or standard penetration test n-values of top 30-m soil layers, according to the recommendations of the National Earthquake Hazards Reduction Program (NEHRP) or the International Building Code (IBC). The site classification system in the NEHRP and the IBC is based on the studies carried out in the United States where soil layers extend up to several hundred meters before reaching any distinct soil-bedrock interface and may not be directly applicable to other regions, especially in regions having shallow geological deposits. This paper investigates the influence of rock depth on site classes based on the recommendations of the NEHRP and the IBC. For this study, soil sites having a wide range of average shear wave velocities (or standard penetration test n-values) have been collected from different parts of Australia, China, and India. Shear wave velocities of rock layers underneath soil layers have also been collected at depths from a few meters ...

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Estimation of seismic spectral acceleration in Peninsular India

Cited by 181 publications

References 21 publications

Estimation of peak ground acceleration and spectral acceleration for South India with local site effects: probabilistic approach

Estimation of peak ground acceleration and spectral acceleration for South India with local site effects: probabilistic approach

A New Insight into Probabilistic Seismic Hazard Analysis for Central India

Influence of Rock Depth on Seismic Site Classification for Shallow Bedrock Regions

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