The Applied Study In Predicting Earthquake Using Satellite Remote Sensing Data Of Medium Wave Infrared

With the development of satellite remote sensing, the application of satellite data in earthquake prediction has made some achievements. In earthquake prediction, the employ of the thermal infrared and the outgoing long-wave radiation data is main, but the medium wave infrared(wavelength from 3 to 5um) date is inchoate. Using medium wave infrared brightness date from China Geostationary Meteorological satellite, in this paper the author apply the method of wavelet transformation and relative power spectrum estimation to study the shifty characteristics of relative power spectrum with medium wave infrared data in the reference area without strong earthquakes from January 2006 to December 2015, meanwhile summarize the medium wave infrared thermal radiation abnormal characteristics of the 28 earthquakes with magnitude over 6.0 from January 2006 to January 2016. On the basic of aforesaid study, the author contrastively analyze the medium wave infrared thermal radiation phenomenon of strong earthquakes and the reference area, comparatively analyze the difference and the generality of the relative power spectrum using medium wave infrared, thermal infrared and the outgoing long-wave data. By studying and analyzing this paper summarize some collusions and recognitions.1. 25 earthquakes have different degree anomalies of medium wave infrared data in 28 cases, among them seventeen cases have relatively good characteristics in diverse anomalies items.2. Its anomalies have several aspects below. Firstly, the duration that over the average 2 times, the maximum is 100, the minimum is 13, most of it is from 25 to70. Secondly, the times of peak, the maximum is 20, the minimum is 6, most of it is from 8 to14. Thirdly, the apart days when the maximum appeared to the earthquake take placed, the maximum is 85, the minimum is the day that earthquake take placed, most of it is from several days to 60. Fourthly, the maximum area, from several thousand to several hundred thousand square kilometers, the maximum is 520000 square kilometers, the minimum is 2000 square kilometers, most of it is from several ten thousand to hundred thousand. Fifthly, the distribution of anomalies shapes, most shapes is a sheet, some of shapes is band, the epicenter is surrounded or at the edge of anomalies, some of anomalies is relatively far away from the epicenter. The sixth, the anomalies that the temporal curve deviate from its background value and standard deviation, before and after the earthquake, the temporal curve before or after or through the whole process of anomalies is deviate from background value and standard deviation, extra when the peak of relative power spectrum occurred and the degree of deviation is become the biggest. These abnormal characteristics can provide a gist for earthquake prediction in time and space, have significance for predicting short-term impending earthquake, and offer reference to key seismic areas for tracing work.3. The reference area without strong earthquakes only have 31months(in all 120 months) which have anomalies, and most of the anomalies loosely distribute in the corner or at the edge of the reference areas. Compared with strong earthquakes, the author find that the anomalies acreage of reference area is much smaller, and the distribution is loose. The relative power spectrum of most anomalies in temporal curve of reference area that are about or over 6 times, its main relative power spectrum is from 6 to 8. The duration of power spectrum of 12 anomalies(in all 19 anomalies) that are over the average 2 times is under 25 days, which are specially different from the peak and the over 2 times duration of strong earthquakes. The amplitude of reference area is much lesser, and the duration is much shorter.4. By comparing the anomalies of medium wave infrared, thermal infrared and outgoing long wave radiation relative power spectrum, the author discover that for the same earthquake the dominant frequency of different data was almost identical. Medium wave infrared data that is used to predict earthquakes has advantages in abnormal amplitude. Thermal infrared data in predicting earthquakes shows larger square of anomalies, but the amplitude is relatively much lesser. The outgoing long wave also shows anomalies about earthquake, and it has relative long duration of the whole anomalies for one earthquake. To the same earthquake case, the abnormalities that the three kinds of data shows have a very high similarity in evolution of form and space duration.