Intermediate-term prediction of occurrence times of strong earthquakes

Intermediate-term prediction of occurrence times of strong earthquakes
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强震发生时间的中期预测

DOI:
10.1038/335690a0
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发表时间:
1988
期刊:
影响因子:
64.8
通讯作者:
C. R. Allen
C. R. Allen
中科院分区:
综合性期刊1区
文献类型:
--
作者:
V. Keilis;L. Knopoff;I. Rotwain;C. R. Allen

文献摘要

被引文献

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罕见事件的模式识别程序适用于识别大地震前小规模和中规模地震活动的聚类模式的问题。根据对加利福尼亚州和内华达州大地震的分析得出的识别程序在应用于世界其他地区时会产生很高的成功率。
Pattern recognition procedures for infrequent events are adapted to the problem of identifying patterns of clustering of small- and intermediate-scale seismicity before large earthquakes. Identification procedures derived from analysis of large California and Nevada earthquakes yield a high success rate when applied to other parts of the world.