首页|阿富汗地震R/S分形特征及地震活动性分析

阿富汗地震R/S分形特征及地震活动性分析

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地震的发生具有非线性特征,分形理论能够刻画地震时空分布特征及其变化过程.本文基于R/S分析方法确定阿富汗主要地震带的分形特征,利用ARIMA模型对兴都—库什山地震带可能发生的年度最大震级进行预测.R/S分析表明,兴都—库什山地震带Hurst指数为0.9125,地震活动记忆周期为8年;苏莱曼山地震带Hurst指数为0.7281,地震活动记忆周期为9年.兴都—库什山和苏莱曼山地震带地震活动的变化趋势与历史变化一致,且兴都—库什山地震带的趋势延续性比苏莱曼山地震带更为显著.ARIMA模型预测结果显示,2022-2026年兴都—库什山地震带可能发生的年度最大震级分别为Mb6.2、Mb6.1、Mb5.8、Mb5.8和Mb6.1.
R/S Fractal Characteristics and Activity Analysis of Afghanistan Earthquake
Earthquake occurrence exhibits nonlinear characteristics,and fractal theory effectively describes the temporal and spatial distribution and evolution of earthquakes.Using R/S analysis,this paper determines the fractal characteristics of the major seismic belts in Afghanistan and employs the ARIMA model to predict the annual maximum magnitude of the Hindu-Kush seismic belt.The Hurst index of the Hindu-Kush seismic belt is 0.9125,indicating a seismic activity memory period of 8 years.For the Sulaiman seismic belt,the Hurst index is 0.7281,with a memory period of 9 years.The variation trends of seismic activity in both the Hindu-Kush and Sulaiman seismic zones align with historical patterns,though the trend continuity is more pronounced in the Hindu-Kush zone.According to the ARIMA model,the predicted maximum annual magnitudes for the Hindu-Kush seismic belt from 2022 to 2026 are Mb6.2,Mb6.1,Mb5.8,Mb5.8,and Mb6.1,respectively.

Afghanistan earthquakeR/S fractal characteristicsHurst indexARIMA modelEarthquake activity analysis

尚志、李己华、张璐、申利远、刘婷婷、孙茂妤、王苹、黄淑芬、李静

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中国消防救援学院,北京 102202

阿富汗地震 R/S分形 Hurst指数 ARIMA模型 地震活动性分析

应急管理部救援协调和预案管理局(2023)资助

2024

中国地震
中国地震台网中心

中国地震

CSTPCD北大核心
影响因子:0.828
ISSN:1001-4683
年,卷(期):2024.40(2)
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