A statistical investigation of preearthquake ionospheric anomaly
نویسندگان
چکیده
[1] Empirical evidence of the preearthquake ionospheric anomalies (PEIAs) is reported by statistically investigating the relationship between variations of the plasma frequency at the ionospheric F2 peak foF2 and 184 earthquakes with magnitude M 5.0 during 1994– 1999 in the Taiwan area. The PEIA, defined as the abnormal decrease more than about 25% in the ionospheric foF2 during the afternoon period, 1200–1800 LT, significantly occurs within 5 days before the earthquakes. Moreover, the odds of earthquakes with PEIA increase with the earthquake magnitude but decrease with the distance from the epicenter to the ionosonde station. These results indicate that the PEIA is energy related.
منابع مشابه
Investigating the effect of the removing well-known periods from TEC time series data in identifying seismo-ionospheric anomaly
Iran is situated on one of the two largest seismic belt of the world which is called Alpa. The occurrence of damaging earthquakes all around the country causes a lot of pecuniary losses and casualties. The prediction of this phenomenon can have a profound impact on reducing the risks which are posed by it. Among the earthquake predictors, which are of interest to many scholars today, we can men...
متن کاملThe detection of 11th of March 2011 Tohoku's TEC seismo-ionospheric anomalies using the Singular Value Thresholding (SVT) method
The Total Electron Content (TEC) measured by the Global Positioning System (GPS) is useful for registering the pre-earthquake ionospheric anomalies appearing before a large earthquake. In this paper the TEC value was predicted using the singular value thresholding (SVT) method. Also, the anomaly is detected utilizing this predicted value and the definition of the threshold value, leading to the...
متن کاملStatistical investigation of the saturation effect in the ionospheric foF2 versus sunspot, solar radio noise, and solar EUV radiation
[1] This study explores the saturation effects in the ionospheric foF2 due to sunspot number R, solar radio noise (10.7 cm) flux F10.7, and solar EUV fluxes. To locate the R, F10.7, or EUV value at which the foF2 values are saturated, a two-segmented regression model is built based on the data of the strictly rise period of the 21st solar cycle recorded by eight ionosonde stations scattering ro...
متن کاملInvestigation of the effects of geomagnetic storms on ionospheric irregularities using the combination of ground-based GNSS and SWARM satellites
Geomagnetic storms are one of the main causes of ionospheric perturbations in different sizes, depending on their intensity, which could disturb radio signals passing through this medium. On September 6-12, 2017, the sudden storm commencement (SSC) was the most massive geomagnetic storm of the year due to the X9 solar flare caused by a coronal mass ejection (CME). IMF-Bz and Dst values increase...
متن کاملGBAS Ionospheric Anomaly Monitoring Based on a Two-Step Approach
As one significant component of space environmental weather, the ionosphere has to be monitored using Global Positioning System (GPS) receivers for the Ground-Based Augmentation System (GBAS). This is because an ionospheric anomaly can pose a potential threat for GBAS to support safety-critical services. The traditional code-carrier divergence (CCD) methods, which have been widely used to detec...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006