Application of AR Model in the Analysis of Preearthquake Ionospheric Anomalies

Joint Authors

Liu, Jianjun
Dai, Xiaojun
Zhang, Huaying

Source

Mathematical Problems in Engineering

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-5, 5 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-10-04

Country of Publication

Egypt

No. of Pages

5

Main Subjects

Civil Engineering

Abstract EN

Earthquake ionosphere coupling phenomenon is one of the hot research topics using the Global Positioning System (GPS).

Taking Lushan earthquake in April 2013 as an example, this paper firstly establishes ionosphere TEC models and determines the optimal model based on Autoregression model by analyzing the TEC values of the epicenter area detected by GPS.

Then it makes predictions about the ionosphere data, obtains the background value, and conducts anomaly analysis by using the optimal model.

Finally the correlation between ionosphere anomalies and earthquake is analyzed quantitatively by presenting data diagrams explicitly; then a new method to do short-term and imminent earthquake prediction is proposed in the end.

American Psychological Association (APA)

Dai, Xiaojun& Liu, Jianjun& Zhang, Huaying. 2015. Application of AR Model in the Analysis of Preearthquake Ionospheric Anomalies. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-5.
https://search.emarefa.net/detail/BIM-1073048

Modern Language Association (MLA)

Dai, Xiaojun…[et al.]. Application of AR Model in the Analysis of Preearthquake Ionospheric Anomalies. Mathematical Problems in Engineering No. 2015 (2015), pp.1-5.
https://search.emarefa.net/detail/BIM-1073048

American Medical Association (AMA)

Dai, Xiaojun& Liu, Jianjun& Zhang, Huaying. Application of AR Model in the Analysis of Preearthquake Ionospheric Anomalies. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-5.
https://search.emarefa.net/detail/BIM-1073048

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1073048