【摘要】 首先总结了国内外利用法国DEMETER卫星观测数据识别和提取地震电离层中主要参量扰动异常的常规研究方法,介绍了图像信息方法(pattern infoimatics method,简称PI方法)研究地震活动性异常及其应用于中长期地震危险性预测的研究进展和成果.然后主要介绍了改进型图像信息方法(modified pattern informatics methodd,简称MPI方法)在提取电磁卫星数据资料中的进展应用.该方法的震例研究结果显示,地震电离层中电子浓度(N_e)、电子温度(T_e)异常出现的时间一般在震前一个月左右,相对于其它方法提取到的异常在震前几小时至数天内,这一突出特点将使得MPI方法在短临地震预报中更具有可操作性.然而,该方法能否作为提取地震电离层异常扰动的实用数据处理方法并应用于地震短临预测中,尚需要进一步深入研究.最后本文提出了将MPI方法应用于提取地震电离层异常信息需要进一步解决的几个问题.更多还原

【Abstract】 This paper firstly summarized the main methods for identifying and extracting the abnormal disturbance of the ionosphere related to earthquake from the DEMETER satellite observation data.Then the modified pattern informatics(MPI) method,which is applied to extract the ionospheric disturbance anomaly from the French DEMETER satellite observation data,was mainly introduced.The results from the MPI method show that the abnormal disturbance of the ionosphere usually occurs about one month before an earthquake.Comparision of the MPI method with other methods shows that MPI method is more practical for earthquake prediction because the abnormal disturbance detected by other methods appears only a few hours to a few days before an earthquake and leaves only very short time for response.However,there is still a long way to go before MPI method can be applied to real time earthquake prediction.Finally,several issues about extracting ionospheric disturbance anomaly by MPI method are proposed to be solved in further study.更多还原