On the Bayesian analysis of the earthquake hazard
in the North-East Indian peninsula |
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| Authors: | Imtiyaz A Parvez |
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| Institution: | (1) CSIR Centre for Mathematical Modelling and Computer Simulation, NAL Belur Campus, Bangalore, 560 037, India |
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| Abstract: | The Bayesian extreme-value distribution of earthquake occurrences has been used to estimate the seismic hazard in 12 seismogenic
zones of the North-East Indian peninsula. The Bayesian approach has been used very efficiently to combine the prior information
on seismicity obtained from geological data with historical observations in many seismogenic zones of the world. The basic
parameters to obtain the prior estimate of seismicity are the seismic moment, slip rate, earthquake recurrence rate and magnitude.
These estimates are then updated in terms of Bayes’ theorem and historical evaluations of seismicity associated with each
zone. From the Bayesian analysis of extreme earthquake occurrences for North-East Indian peninsula, it is found that for T = 5 years, the probability of occurrences of magnitude (M
w = 5.0–5.5) is greater than 0.9 for all zones. For M
w = 6.0, four zones namely Z1 (Central Himalayas), Z5 (Indo-Burma border), Z7 (Burmese arc) and Z8 (Burma region) exhibit high
probabilities. Lower probability is shown by some zones namely␣Z4, Z12, and rest of the zones Z2, Z3, Z6, Z9, Z10 and Z11
show moderate probabilities. |
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| Keywords: | Earthquake occurrences Bayesian estimators Extreme values North-East Indian Peninsula |
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