Delineation of probable seismic sources in India and neighbourhood by a comprehensive analysis of seismotectonic characteristics of the region

Gupta, I. D.

doi:10.1016/j.soildyn.2005.12.007

Cited by 93 publications

(64 citation statements)

References 56 publications

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“…Such zonation pattern can be found in the works of GUPTA et al (1995) and GUPTA (2006). In the southern part of PI very rare earthquakes of magnitude greater than 5.0 have occurred, with a maximum historic event being M w = 6.0 (intensity VII) which occurred on 8 February 1900 in Coimbatore at a focal depth of around 70 km (DASGUPTA et al, 2000;GUPTA, 2006). Earthquakes in these regions are due to intraplate stress with pre-existing weak zones.…”

Section: Geological and Tectonic Setting Of Chennaisupporting

confidence: 61%

“…CHANDRA (1977), in his study of seismicity of PI, formed a large seismic zone comprising the entire Kerala, Tamil Nadu and parts of southern Karnataka, mainly because, ''the irregular distribution of earthquake activity in the region made it difficult to relate epicentres to specific structures'', indicating distributed seismicity. Such zonation pattern can be found in the works of GUPTA et al (1995) and GUPTA (2006). In the southern part of PI very rare earthquakes of magnitude greater than 5.0 have occurred, with a maximum historic event being M w = 6.0 (intensity VII) which occurred on 8 February 1900 in Coimbatore at a focal depth of around 70 km (DASGUPTA et al, 2000;GUPTA, 2006).…”

Section: Geological and Tectonic Setting Of Chennaimentioning

confidence: 74%

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Seismic Hazard Analysis Using the Adaptive Kernel Density Estimation Technique for Chennai City

Ramanna

Dodagoudar

2011

Pure Appl. Geophys.

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Conventional method of probabilistic seismic hazard analysis (PSHA) using the Cornell-McGuire approach requires identification of homogeneous source zones as the first step. This criterion brings along many issues and, hence, several alternative methods to hazard estimation have come up in the last few years. Methods such as zoneless or zone-free methods, modelling of earth's crust using numerical methods with finite element analysis, have been proposed. Delineating a homogeneous source zone in regions of distributed seismicity and/or diffused seismicity is rather a difficult task. In this study, the zone-free method using the adaptive kernel technique to hazard estimation is explored for regions having distributed and diffused seismicity. Chennai city is in such a region with low to moderate seismicity so it has been used as a case study. The adaptive kernel technique is statistically superior to the fixed kernel technique primarily because the bandwidth of the kernel is varied spatially depending on the clustering or sparseness of the epicentres. Although the fixed kernel technique has proven to work well in general density estimation cases, it fails to perform in the case of multimodal and long tail distributions. In such situations, the adaptive kernel technique serves the purpose and is more relevant in earthquake engineering as the activity rate probability density surface is multimodal in nature. The peak ground acceleration (PGA) obtained from all the three approaches (i.e., the Cornell-McGuire approach, fixed kernel and adaptive kernel techniques) for 10% probability of exceedance in 50 years is around 0.087 g. The uniform hazard spectra (UHS) are also provided for different structural periods.

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Section: Geological and Tectonic Setting Of Chennaisupporting

confidence: 61%

Section: Geological and Tectonic Setting Of Chennaimentioning

confidence: 74%

Seismic Hazard Analysis Using the Adaptive Kernel Density Estimation Technique for Chennai City

Ramanna

Dodagoudar

2011

Pure Appl. Geophys.

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“…Kayal (1998) divided the region (NE India) into five zones based on the seismicity and the epicentral depth. Gupta (2006) has also divided the region into a number of smaller seismic sources (19 zones) based on the tectonic features, source mechanism, and the seismicity characteristics. In this study, we have delineated the spatial distribution of the catalogue by locations (latitude and longitude) after classifying each size of magnitude ranges.…”

Section: Study Area and Tectonic Characteristicsmentioning

confidence: 99%

Site specific design response spectrum proposed for the capital city of Agartala, Tripura

Sil

Sitharam

2015

Geomatics, Natural Hazards and Risk

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The design response spectrum is smooth in shape compared to other response spectra. The objective of design spectra is to estimate the possible earthquake lateral loads which may experience on a particular structure during its design life. In this study, an attempt has been made to develop, design response spectra for the Agartala city, Tripura which is one of the North Eastern states in India considered at the highest level of seismic activity in the country having a zone factor 0.36g as per Indian seismic code (BIS 1893(BIS -2002. Based on the present data set collected from 1731-2011, the region is characterized and the seismicity parameters estimated separately for each source zone by Gutenberg and Richter (G-R) relationship. The two ground motion models were used for the hazard prediction. However, hazard curve, and uniform hazard response spectra (UHRS) (2% and 10% probability level for 50 years) has been developed for the Agartala at seismic bedrock level condition. Further, the NEHRP (National Earthquake Hazards Reduction Program) site classes D and E-types have been identified based on the average shear wave velocity at an upper 30 m depth of the subsurface soil profile. The direct shear wave velocity profiles were obtained through multi channel analysis of surface wave tests conducted at 27 locations at Agartala city. The design response spectra have been developed at the surface level for both the site classes. The results could be used as direct inputs for earthquake resistant design of civil engineering infrastructures of the study area.

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“…All the ridges are bounded by faults and are in tectonic continuation from the Indian shield. The earthquake activity in the Gangetic plain is broadly associated with Strike-slip faulting (GUPTA, 2006), and of moderate nature relative to the Himalaya (QUITTMEYER and JACOB, 1979). Instead, the earthquake activities in PI are of both rift and non-rift origin, and felt over a much larger area than the Himalaya (CHANDRA, 1977;KAYAL, 2000).…”

Section: Geology and Tectonic Setup Of The Regionmentioning

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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Delineation of probable seismic sources in India and neighbourhood by a comprehensive analysis of seismotectonic characteristics of the region

Cited by 93 publications

References 56 publications

Seismic Hazard Analysis Using the Adaptive Kernel Density Estimation Technique for Chennai City

Seismic Hazard Analysis Using the Adaptive Kernel Density Estimation Technique for Chennai City

Site specific design response spectrum proposed for the capital city of Agartala, Tripura

A New Insight into Probabilistic Seismic Hazard Analysis for Central India

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