Stochastic modelling of earthquake recurrence interval for North-East, India (Eastern-Himalayas) and its vicinity using Weibull, Gamma and Lognormal distribution

IF 1.3 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS
Timangshu Chetia, Santanu Baruah, Bijit Kumar Choudhury, Subhra Jyoti Baruah
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Abstract

Northeastern India is a tectonically complex and seismically active region that has experienced several damaging earthquakes. Statistical analysis of earthquake recurrence can provide supporting insights into regional seismic behaviour.Despite its seismic significance, time-dependent statistical characterization of earthquake recurrence in this region remains limited, particularly using established renewal models applied in a comparative framework. In this study, cumulative probabilities and conditional probabilities (hazard rates) were estimated for earthquakes with magnitudes Mw > 3.6, 4, 5, and 6 to examine which renewal model best describes earthquake recurrence in Northeastern India. Weibull, Gamma, and Lognormal distributions were applied to earthquake recurrence intervals. All three models provide a reasonable first-order description of recurrence behavior, with the Weibull distribution yielding a comparatively better statistical fit, followed by the Gamma distribution, while the Lognormal distribution shows weaker performance. Based on the Weibull model, characteristic recurrence intervals are estimated to be approximately 46, 58, 180, and 540 years for Mw > 3.6, 4, 5, and 6 earthquakes, respectively. Over a 70-year period, the estimated conditional probabilities increase within lower and upper time bounds for each magnitude class, indicating higher likelihoods with increasing elapsed time since the last event. In conclusion, the results suggest that renewal-based statistical models, particularly the Weibull distribution, can provide a preliminary characterization of earthquake recurrence behavior in Northeastern India, though the estimates are subject to the assumptions and limitations inherent in such models. The present study is intended as a preliminary investigation. Future work incorporating physically based models (e.g., Brownian Passage Time), higher magnitude thresholds, and more rigorous treatment of dependent seismicity is required to improve the robustness and hazard relevance of time-dependent seismic assessments in the region.

用威布尔分布、伽玛分布和对数正态分布对印度东北部(东喜马拉雅)及其附近地区地震复发间隔的随机模拟
印度东北部是一个构造复杂、地震活跃的地区,经历了几次破坏性的地震。地震复发的统计分析可以为了解区域地震行为提供支持。尽管具有地震意义,但该地区地震复发的时间相关统计特征仍然有限,特别是在比较框架中应用的已建立的更新模型。在本研究中,估计了Mw >; 3.6、4、5和6级地震的累积概率和条件概率(危险率),以检验哪种更新模型最能描述印度东北部的地震复发。威布尔分布、伽玛分布和对数正态分布应用于地震重现区间。这三种模型都对递归行为提供了合理的一阶描述,其中威布尔分布的统计拟合效果相对较好,其次是伽马分布,而对数正态分布的表现较差。基于Weibull模型,估计了Mw >; 3.6、4、5和6次地震的特征重复周期分别约为46、58、180和540年。在70年的时间里,估计的条件概率在每个震级的上下时间范围内增加,表明自上次事件以来随着时间的增加,可能性越大。总之,结果表明,基于更新的统计模型,特别是威布尔分布,可以提供印度东北部地震复发行为的初步特征,尽管估计受到这些模型固有的假设和限制。本研究是一项初步调查。未来的工作需要结合基于物理的模型(如布朗通过时间)、更高的震级阈值和更严格的相关地震活动性处理,以提高该地区基于时间的地震评估的稳健性和危险相关性。
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来源期刊
Journal of Seismology
Journal of Seismology 地学-地球化学与地球物理
CiteScore
3.30
自引率
6.20%
发文量
67
审稿时长
3 months
期刊介绍: Journal of Seismology is an international journal specialising in all observational and theoretical aspects related to earthquake occurrence. Research topics may cover: seismotectonics, seismicity, historical seismicity, seismic source physics, strong ground motion studies, seismic hazard or risk, engineering seismology, physics of fault systems, triggered and induced seismicity, mining seismology, volcano seismology, earthquake prediction, structural investigations ranging from local to regional and global studies with a particular focus on passive experiments.
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