Scaling relations of moment magnitude, local magnitude, and duration magnitude for earthquakes originated in northeast India

Bora, Dipok K.

doi:10.1007/s11589-016-0154-3

Cited by 29 publications

(10 citation statements)

References 46 publications

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“…3; Borgohain et al, 2018). These values are comparable with the seismic moment estimated from the spectral analysis of P-waves of 162 local earthquakes in the Shillong-Mikir Hills plateau and its adjoining region in north-east India (Bora et al, 2013;Bora, 2016).…”

Section: Compilation Of a Seismicity Database And Methodologysupporting

confidence: 79%

“…1). The Arakan-Yoma region has more complex tectonics compared to others, in which a near-equal percentage of normal and thrust faulting is established (Bora, 2016). The Shil-long-Plateau shows a tectonically important popup structure induced by plate convergence (Islam et al, 2011).…”

Section: Seismicity Of the Region And Division Of Seismic Zonesmentioning

confidence: 99%

“…The relatively low b-values 0.92 ± 0.05 and 0.98 ± 0.08 observed for the Himalayan-Frontal Arc and the Shillong Plateau (Fig. 4; Table 2) may indicate the accumulation of stress caused by the tectonic interaction between these landmasses (Panthi et al, 2013;Bora, 2016).…”

Section: B-value and Earthquake Occurrencesmentioning

confidence: 99%

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Frequency magnitude distribution and spatial correlation dimension of earthquakes in north-east Himalaya and adjacent regions

Tiwari

Paudyal

2022

Geologos

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The north-east sector of the Himalaya is one of the most active tectonic belts, with complex geological and tectonic features. The b-value and spatial correlation dimension (Dc) of earthquake distribution in the north-east Himalaya and its adjacent regions (20–32°N and 88–98°E) are estimated in the present study. Based on seismicity and faulting pattern, the region is divided into five active regions, namely the (i) South-Tibet, (ii) Eastern-Syntaxis, (iii) Himalayan-Frontal Arc, (iv) Arakan-Yoma belt and (v) Shillong-Plateau. A homogeneous catalogue of 1,416 earthquakes (mb ≥ 4.5) has been prepared from a revised catalogue of the ISC (International Seismological Centre). The b-value has been appraised by the maximum likelihood estimation method, while Dc values have been calculated by the correlation integral method; b-values of 1.08 ± 0.09, 1.13 ± 0.05, 0.92 ± 0.05, 1.00 ± 0.03 and 0.98 ± 0.08 have been computed for the South-Tibet, Eastern-Syntaxis, Himalayan-Frontal Arc, Arakan-Yoma belt and Shillong-Plateau region, respectively. The Dc values computed for the respective regions are 1.36 ± 0.02, 1.74 ± 0.04, 1.57 ± 0.01, 1.8 ± 0.01, and 1.83 ± 0.02. These values are > 1.5, except for the South-Tibet (1.36 ± 0.02). The b-values around the global average value (1.0) reflect the stress level and seismic activity of the regions, while high Dc values refer to the heterogeneity of the seismogenic sources.

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Section: Compilation Of a Seismicity Database And Methodologysupporting

confidence: 79%

Section: Seismicity Of the Region And Division Of Seismic Zonesmentioning

confidence: 99%

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Frequency magnitude distribution and spatial correlation dimension of earthquakes in north-east Himalaya and adjacent regions

Tiwari

Paudyal

2022

Geologos

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“…It is worth noting that magnitudes less than 3.0 were excluded from this catalogue. All earthquake magnitudes in the catalogue were homogenized to moment magnitudes (Mw) by using empirical models of Tobyáš and Mittag [16] and Bora [17] .…”

Section: Earthquake Cataloguementioning

confidence: 99%

Monte Carlo Based Seismic Hazard Model for Southern Ghana

et al. 2018

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Seismic hazard assessment involves quantifying the likely ground motion intensities to be expected at a particular site or region. It is a crucial aspect of any seismic hazard mitigation program. The conventional probabilistic seismic hazard assessment is highly reliant on the past seismic activities in a particular region. However, for regions with lower rates of seismicity, where seismological data is scanty, it would seem desirable to use a stochastic modelling (Monte Carlo based) approach. This study presents a Monte Carlo simulation hazard model for Southern Ghana. Six sites are selected in order to determine their expected ground motion intensities (peak ground acceleration and spectral acceleration). Results revealed that Accra and Tema as the highly seismic cities in Southern Ghana, with Ho and Cape Coast having relatively lower seismicities. The expected peak ground acceleration corresponding to a 10% probability of exceedance in 50 years for the proposed seismic hazard model was as high as 0.06 g for the cities considered. However, at the rather extreme 2% probability of exceedance in 50 years, a PGA of 0.5 g can be anticipated. Evidently, the 2% in 50 years uniform hazard spectrum for the highly seismic cities recorded high spectral accelerations, at a natural vibrational period within the ranges of about 0.1-0.3 sec. This indicates that low-rise structures in these cities may be exposed to high seismic risk.

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“…Previously, source parameters have been estimated in different zones of the Himalayas, for example, the Kameng region in Arunachal Lesser Himalayas (A. Kumar, Kumar, Gupta, Mittal, & Kumar, 2013), Shillong-Mikir Plateau (Bora, 2016;Bora et al, 2013), Garhwal Himalayas (A. Kumar, 2011), the Koldam site in Himachal Lesser Himalayas (Paidi, Kumar, Gupta, & Kumar, 2013).…”

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confidence: 99%

Source parameters and scaling relations for small to moderate earthquakes in theIndo‐BurmaRanges,North‐east India, and its seismotectonic implications

Bora¹,

Mukherjee

Singh

et al. 2021

Geological Journal

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One of the most tectonically active regions of the world is the Indo-Burma Ranges (IBR) of North-east (NE) India and its surrounding region. It has been considered as a natural laboratory for exploring the geodynamics and kinematics of the subduction system because of the undergoing complex tectonic processes (Gahalaut et al., 2016;Kayal, 2008). The region experienced two greatest earthquakes, the

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Scaling relations of moment magnitude, local magnitude, and duration magnitude for earthquakes originated in northeast India

Cited by 29 publications

References 46 publications

Frequency magnitude distribution and spatial correlation dimension of earthquakes in north-east Himalaya and adjacent regions

Frequency magnitude distribution and spatial correlation dimension of earthquakes in north-east Himalaya and adjacent regions

Monte Carlo Based Seismic Hazard Model for Southern Ghana

Source parameters and scaling relations for small to moderate earthquakes in theIndo‐BurmaRanges,North‐east India, and its seismotectonic implications

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