Algorithm Research & Explore
|
706-710

Detection of anomalies in GPS data before and after earthquakes

Li Nan1
Kong Xiangzeng2
Lin Ling2
1. College of Computer & Information Science, Fujian Agriculture & Forestry University, Fuzhou 350000, China
2. College of Mathematics & Information, Fujian Normal University, Fuzhou 350000, China

Abstract

Most research studies on forecasting of earthquakes focus on thermal or electrical aspects. Scholars have proved GPS time series also contains precursory information for large earthquakes. For the problems mentioned before, three typical earthquakes hit America from 2001 to 2010 were investigated by using GPS data of several GPS reference stations near the epicenters. This paper proposed an algorithm based on Martingale theory to detect the anomalies in GPS data. The experimental results show that the proposed algorithm can effectively reflect the change process in GPS data before and after large earthquakes, which offers more possibilities for earthquake forecast from GPS data.

Foundation Support

国家自然科学基金青年基金资助项目(41601477)
福建省引导性项目(2015Y0054)
福建省自然科学基金资助项目(2016J01280)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.09.0931
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 3
Section: Algorithm Research & Explore
Pages: 706-710
Serial Number: 1001-3695(2019)03-013-0706-05

Publish History

[2019-03-05] Printed Article

Cite This Article

李南, 孔祥增, 林岭. 地震前后基准站GPS数据异常提取算法 [J]. 计算机应用研究, 2019, 36 (3): 706-710. (Li Nan, Kong Xiangzeng, Lin Ling. Detection of anomalies in GPS data before and after earthquakes [J]. Application Research of Computers, 2019, 36 (3): 706-710. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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