DOI: 10.1007/s11069-020-03909-w
论文题名: Probabilistic assessment and study of earthquake recurrence models for entire Northeast region of India
作者: Paul A. ; Gupta S. ; Ghosh S. ; Choudhury D.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2020
卷: 102, 期: 1 起始页码: 15
结束页码: 45
语种: 英语
中文关键词: Bengal Basin (BB)
; Eastern Himalayan (EH)
; Exponential
; Gutenberg–Richter
; Indo-Burma region (IBR)
; Mishmi Thrust (MT)
; Pareto
; Rayleigh
; Shillong Plateau (SP)
; Weibull
英文关键词: earthquake catalogue
; earthquake magnitude
; earthquake recurrence
; modeling
; probability
; risk assessment
; seismicity
; Bengal
; Himalayas
; India
; Indo-Burma
; Shillong Plateau
英文摘要: 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. © 2020, Springer Nature B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/168670
Appears in Collections: 气候变化与战略
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作者单位: Department of Civil Engineering, National Institute of Technology, Agartala, 799046, India; Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai, 400076, India
Recommended Citation:
Paul A.,Gupta S.,Ghosh S.,et al. Probabilistic assessment and study of earthquake recurrence models for entire Northeast region of India[J]. Natural Hazards,2020-01-01,102(1)