The Automatic Identification Technology about Abnormal Activity Based on Seismic Prediction Efficiency

Author

Cao, Jingquan ; Guo, Hongli ; Wang, Jianguo ; Wang, Cuizhi ; Ding, Zilin ; Gao, Xun

Author_Institution

Earthquake Adm. Of Tianjin Municipality, Tianjin, China

fYear

2010

fDate

20-22 Aug. 2010

Firstpage

1

Lastpage

4

Abstract

In this paper, eight seismic activity parameters, which are independent of each other with clear physical meanings, are selected and the special-temporal scanning method is adopted so as to establish an autocratic identification model for abnormal seismicity on the purpose of prediction. On this basis, seismic data (M_L≥2.0) collected from 1987 to 2009 in North China (30°~44°N, 106°~126°E) is selected to test the model. The results show that abnormal seismicity identification method can lower the false alarm rate and improve the capability of identifying the abnormal seismicity.

Keywords

geophysical techniques; seismology; AD 1987 to 2009; North China; abnormal seismicity; automatic identification technology; false alarm rate; seismic activity parameters; seismic prediction efficiency; Earthquakes; Fluctuations; Predictive models; Presses; Seismology; Statistical distributions;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet Technology and Applications, 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5142-5

Electronic_ISBN

978-1-4244-5143-2

Type

conf

DOI

10.1109/ITAPP.2010.5566398

Filename

5566398