摘要
以历史重演原则和构造类比原则为基础,提出了一种基于经验分布的大地震复发概率计算方法,该方法不作任何复发概率分布的强假定,直接通过对大量地震序列数据的蒙特卡罗随机抽样来模拟未来大地震的复发规律,进而统计得到未来一段时间内的大地震发生概率,并以鲜水河断裂带炉霍段和道孚段为实例,利用本文给出的复发概率计算方法得出炉霍段和道孚段未来50年大地震发生概率分别为0.15和0.31。
On the basis of historic recurrence and seismotectonic analogy,we presented a method for calculating earthquake recurrence probability in a period in the future by using empirical distribution function. It adopted the Monte Carlo method to sample from a lot of earthquake sequences to simulate the occurrence of future large earthquakes,so as to achieve statistical large earthquake occurrence probability. Besides,this method never makes assumption that the earthquake recurrence data is according with a certain kind of distribution model.Taking the Luhuo segment and the Daofu segment along the Xianshuihe fault zone as examples,the calculation results showed that the large earthquake occurrence probability in the future 50 years on those two segments are 0.15 and 0.31,respectively.
作者
郭星
潘华
李金臣
侯春林
Guo Xing;Pan Hua;Li Jinchen;Hou Chunlin(Nuclear and Radiation Safety Center,Ministry of Environment Protection,Beo'ing 100082,China;Institute of Geophysics,China Earthquake Administration,Beijing 100081,China)
出处
《地震学报》
CSCD
北大核心
2018年第4期506-518,共13页
Acta Seismologica Sinica
基金
国家自然科学基金项目(51408255)资助
关键词
经验分布
大地震
复发概率
蒙特卡罗方法
empirical distribution
large earthquakes
recurrence probability
Monte Carlo method