DocumentCode :
1924028
Title :
Neural network based tomographic approach to detecting the ionospheric anomalies prior to the 2007 Southern Sumatra earthquake
Author :
Hirooka, Shinji ; Hattori, Katsumi ; Nishihashi, Masahide ; Takeda, Tatsuoki
Author_Institution :
Grad. Sch. of Sci., Chiba Univ., Chiba, Japan
fYear :
2011
fDate :
13-20 Aug. 2011
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, neural network based ionospheric tomography was performed to investigate the detailed structure that may be associated with earthquakes. The 2007 Southern Sumatra earthquake (M8.5) is selected because significant decreases in the Total Electron Content (TEC) have been confirmed by GPS data analysis. With respect to the analyzed earthquake, we detected significant decreases at heights of 250-400 km, especially at 300 km. The global tendency is that the decreased region expands to the east with increasing altitude and concentrated in the Southern hemisphere over the epicenter. Furthermore, obtained results are consistent with other satellite observation.
Keywords :
earthquakes; ionospheric disturbances; ionospheric techniques; neural nets; AD 2007; GPS data analysis; ionospheric anomalies; ionospheric tomography; neural network; southern Sumatra earthquake; southern hemisphere; total electron content; Earthquakes; Educational institutions; Global Positioning System; IEC; Satellites; Spatial resolution; Tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
General Assembly and Scientific Symposium, 2011 XXXth URSI
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-5117-3
Type :
conf
DOI :
10.1109/URSIGASS.2011.6051042
Filename :
6051042
Link To Document :
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