The Further Study On Modified Pattern Informatics(PI) Method To Extract Ionospheric Anomaly Related To Earthquakes

The thesis firstly studies in detail the application of Pattern Informatics Method(PI for short) in the research on mid- and long-term risk prediction of earthquakes; to better master the fundamental principles of PI method, the thesis focuses on the Qinghai-Tibet structural plate to particularly study the space-time evolution during the two 7.3-magnitude earthquakes in Yutian, Xinjiang. The thesis further analyzes and summarizes the previous application of Modified Pattern Informatics Method(MPI for short) in the earthquake electromagnetic satellite data. On the basis of the numerical treatment of eliminating long-term variations in DEMEMETER satellite observation data, the thesis extracts different dynamic fields in ionosphere to further improve the application of the method in extracting pre-earthquake abnormal information of ionosphere in terms of data processing. The thesis researches lots of earthquake cases to obtain the statistical features of abnormal ionosphere before an earthquake and then to probe into the relations between them and the abnormal electromagnetism & fluid on the earth’s surface. The research content mainly covers:1. The thesis makes a further summarization over the main methods of making use of French DEMETER satellite observation data recognize & extract the abnormal earthquake ionospheric disturbances and then introduces the research progress of applying Modified Pattern Informatics Method(MPI for short) in extracting abnormal information of earthquake ionosphere.2. In this paper, the DEMETER satellite in 2007-2009 observation of ionospheric electron density(Ne), electron temperature(Te) data eliminates long-term variations caused by solar activities, in order to highlight and extract ionospheric electron parameter disturbance caused by earthquake anomaly.We use the residual value as input of the MPI method, so as to enhance the signal-to-noise ratio of seismic ionospheric disturbance anomalies.3. Compared to ocean weft in low latitude area and land area of ionospheric electron parametric variation characteristics can be found: electron density(Ne), electron temperature(Te) along with the change of location, place have the similar distribution characteristics. Including the electron density in Marine weft in lowlatitude area is significantly higher than the land area, electronic temperature terrestrial latitude area is higher than in the Marine low latitude region, the variation curve of both trends are basically identical.4. Making use of Modified Pattern Informatics Method(MPI for short), based on the data of Ne and Te observed by DEMETER satellite, explore the abnormal phenomena in electronic parameters of earthquake ionosphere before the 14 7.0-magnititude & above earthquakes at broad and 6.0-magnititude & above earthquakes at home 2007-2009. On the basis of the previous researches, the thesis eliminates the long-term variations caused by solar activities in the observation data of ionospheric Ne and Te, so as to extract the abnormal ionospheric disturbances incurred by the incubation & outburst of earthquakes. The results show that the abnormal scope, form and range of different earthquake cases are different, but there are abnormal disturbances to varying degrees in the parameters like Ne and Te etc. about 1 month before the earthquake and the abnormal phenomena are receding to serenity about 10 days before the earthquake. Compared with the abnormal indexes extracted by other methods within hours and days prior to an earthquake, the outstanding feature makes MPI method more operable in short-impending earthquake prediction.Compared with the pervious similar researches, the 1st innovation of this thesis is embodied in the processing of satellite data: Both the annual variations of parametric ambient fields in ionosphere and the long-term variations influenced by solar factors are taken into consideration. The thesis obtains different dynamic fields by means of eliminating long-term variations and making it easier to extract high SNR earthquake ionospheric anomalies. The 2nd innovation of the thesis is to research many earthquake cases to show a space-time & comparable evolution process of ionospheric disturbance information. So the abnormal information of earthquake ionosphere is more objective and the space-time evolution process shown by those ionospheric abnormal disturbance images similar to weather satellite cloud pictures are conducive to the application of research results in the practice of short-impending earthquake prediction and to the experience accumulation in those observation tests of Chinese earthquakeelectromagnetic satellites.