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大气电场异常判别及预报效能的统计检验
DISCRIMINATION OF ATMOSPHERIC ELECTRONIC FILED ANOMALIES AND STATISTICAL TEST OF PREDICTION EFFECTIVENESS
【摘要】 依据郝建国等提出的异常判别规则对大气电场的原始观测资料重新进行了异常判别和分组, 并依据朱成熹等提出的效率值法,分别对监测到的异常及实际上报的异常与地震预报的相关进行了统计检验及评分,信度在 15% 以下,该方法通过了假设检验。结果表明,这一方法用于地震预报是有统计依据的
【Abstract】 In this paper, the original data of atmospheric electric field is classified according to the anomaly criteria given by Hao Jianguo and others, then the statistical test is carried out for the correlation between the earthquake events and the observed corresponding anomalies and the correlation between the predicted earthquakes and the actual events, and finally the prediction evaluation is made according to Zhu’s method. When the creditability is 15%, the method passes the statistical test, and it is proved that the method is reasonable for the earthquake prediction.
【关键词】 大气电场;
异常判别;
预报效能;
统计检验;
【Key words】 Atmospheric electric field; Anomaly criteria; Prediction effectiveness; Statistical test;
【Key words】 Atmospheric electric field; Anomaly criteria; Prediction effectiveness; Statistical test;
- 【文献出处】 地震 ,EARTHQUAKE , 编辑部邮箱 ,1999年03期
- 【分类号】P315.75
- 【被引频次】4
- 【下载频次】68