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中强地震活动区地震年平均发生率确定方法的比较 被引量:2
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作者 彭艳菊 张力方 +1 位作者 吕悦军 谢卓娟 《中国地震》 CSCD 北大核心 2011年第4期376-385,共10页
目前确定地震活动性参数的方法有2种,即潜在震源区划分法和格点空间光滑法。本文针对格点空间光滑法,重点介绍了高斯空间光滑法及其改进后的方法,并对比分析了这些方法的优缺点及适用性;然后以华中为研究区,分别采用高斯空间光滑法和潜... 目前确定地震活动性参数的方法有2种,即潜在震源区划分法和格点空间光滑法。本文针对格点空间光滑法,重点介绍了高斯空间光滑法及其改进后的方法,并对比分析了这些方法的优缺点及适用性;然后以华中为研究区,分别采用高斯空间光滑法和潜在震源区法建立地震活动性模型计算地震年平均发生率,并利用概率地震危险性分析方法计算地震危险性,对比两种方法所得区划结果的差异并分析了引起差异的原因。结果表明:空间光滑法适用于中强地震活动区地震危险性或由背景地震引起的地震危险性的计算;潜在震源区划分法适用于考虑明确的发震构造的地震危险性。将2种方法相结合,综合考虑地震和已知构造信息是判断中强地震活动区地震危险性的可行方法。 展开更多
关键词 中强地震活动区 年平均发生率 格点空间光滑法 潜在震源区法
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Analysis of Small Earthquake Activities before Medium-strong Earthquakes in Northeast China
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作者 Li Yongzhen Jiang Jinzheng Liang Yongduo 《Earthquake Research in China》 2013年第3期382-390,共9页
13 earthquakes with M 〉 5.0 have been recorded in the northeast region of China since 1970, among which eight medium-strong earthquakes are independent in space and time. Studies of seismicity before these eight medi... 13 earthquakes with M 〉 5.0 have been recorded in the northeast region of China since 1970, among which eight medium-strong earthquakes are independent in space and time. Studies of seismicity before these eight medium-strong earthquakes show that small earthquake activity was enhanced before the occurrences. Though seismicity increase is a common phenomenon in the northeast China region, we have difficulty in predicting the medium-strong earthquakes by this phenomenon alone. In order to predict medium-strong earthquakes through se|smicity increase, this paper tries to propose a new method that calculates small earthquake frequency through the changing pattern of small earthquake activities based on the characteristics of small earthquake activity in the northeast China region. The results show that we can get the obvious anomaly frequency of small earthquakes before medium-strong earthquakes through the new method, and can obtain a medium to short term anomaly index for the northeast China region. 展开更多
关键词 Medium-strong earthquake Northeast China region Small earthquakeactivity Medium to short term anomaly
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