Probabilistic assessment and study of earthquake recurrence models for entire Northeast region of India

Avik Paul (), Suvam Gupta (), Sima Ghosh () and Deepankar Choudhury ()
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Avik Paul: National Institute of Technology
Suvam Gupta: National Institute of Technology
Sima Ghosh: National Institute of Technology
Deepankar Choudhury: Indian Institute of Technology Bombay

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2020, vol. 102, issue 1, No 2, 15-45

Abstract: Abstract Northeast India is seismically most active region in India, and it falls under Zone V which represents the highest seismic risk in the country. This region has been experienced two great earthquakes like the 1897 Shillong (Mw 8.1) and the 1950 Assam earthquake (Mw 8.4) and several large earthquake (Mw ≥ 7) during last 122 years. Probabilistic approach and number statistical tools have been used by various researchers for finding the future earthquake recurrence rates. Using the earthquake catalogue, Gutenberg–Richter parameter has been estimated to evaluate seismic risk for six different regions: Eastern Himalayan, Indo-Burma region, Bengal Basin, Shillong Plateau, Mishmi Thrust, and Naga Thrust. Assuming that the earthquake occurrence is Poisson model, based on the obtained Gutenberg–Richter (G–R) relations, the probability of occurrence of earthquake of specified magnitude in given time is estimated for six seismotectonic regions. Further in this study, we made an attempt to estimate the probability of earthquake using four known statistical models, namely Exponential, Rayleigh, Weibull, and Pareto. The whole region is divided into six tectonic blocks to estimate the probability of an earthquake (Mw ≥ 5.5) through the maximization of conditional probability of earthquake occurrence. Time intervals for the occurrence of the next large earthquake in the six regions have been estimated by the maximization of conditional probability of earthquake occurrence. Pareto distribution shows the highest conditional probability compared to other distribution although it shows the lowest recurrence time compared to others. Rayleigh shows the lowest conditional probability, and Exponential shows intermediate probabilities in between Weibull and Pareto distributions. Specified four typical probability density models have been validated with the predicted event in Eastern Himalayan and Naga Thrust for earthquake Mw ≥ 5.5 recorded event.

Keywords: Eastern Himalayan (EH); Indo-Burma region (IBR); Bengal Basin (BB); Shillong Plateau (SP); Mishmi Thrust (MT); Gutenberg–Richter; Exponential; Rayleigh; Weibull; Pareto (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11069-020-03909-w

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