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一种强震概率预测方法
A probabilistic method for strong earthquake prediction
【摘要】 介绍了利用Logistic回归进行地震危险性概率预测方法,对以新西兰地区相同时间段内地震活动性b值和等地震个数所覆盖空间区域的半径r为例,讨论了地震活动性参数的变化和强震发生的概率关系。研究表明,该地区强震发生的概率总体上与强震发生前一年半时间窗内的地震活动性资料计算的b值呈正相关关系,与r值呈负相关关系。该方法可以推广应用于研究其他异常分布和强震的概率统计关系。
【Abstract】 By using Logistic regression, a probabilistic method for strong earthquake predi ction has been introduced in this paper. The relation between seismic parameters and the probability of strong earthquake occurrence has been discussed by takin g b value and r, the range of a given number of events covered in a give n length of time sections in New Zealand as an example. Results show that the pr obability of strong earthquake occurrence has generally positive and negative co rrelation respectively for b value and r, which was estimated by events occurred in a time window of 1.5 year before strong earthquake occurrence. This method can be broadly applied to other anomaly distribution and the probabilisti c relation of strong earthquake occurrence.
【Key words】 Logistic regression; Temporal-spatial scanning; Probabilistic prediction; Stron g earthquakes;
- 【文献出处】 地震 ,Earthquake , 编辑部邮箱 ,2003年03期
- 【分类号】P315.75
- 【被引频次】3
- 【下载频次】104