大气电场异常作为地震前兆信息效能的统计评估
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摘要
利用MG检验方法,通过对连续30个月上报的大气电场异常数据及该段时间内实际观测资料的统计分析,论述了近场地震发生前出现的大气电场负异常决非偶然。同时指出地震预报研究的复杂性,只有通过对前兆现象进行统计的、物理的及预报实践的多渠道深入研究才有可能为地震短临预报提供出一种较为有用的前兆信息。
It's pointed out in this paper that the anomalies of quasistatic atmospheric electric field before local earthquake is beyond chance, that's through evaluating the statistical validity of the reported static atmospheric electric field anomalies before earthquake and data during continuous 30 months with the MGmethod. The complexity of the erathquake prediction is pointed simultaneously. And, it's possible to offer a valuable precusor for shortterm and imminent earthquake prediction through further study of the precursor with statistical, mechanism and the practice of prediction.
引文
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