Two-dimensional ionospheric total electron content map (TEC) seismo-ionospheric anomalies through image processing using principal component analysis

Details Two-dimensional ionospheric total electron content map (TEC) seismo-ionospheric anomalies through image processing using principal component analysis Two-dimensional ionospheric total electron content map (TEC) seismo-ionospheric anomalies through image processing using principal component analysis

Jun 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010adspr..45.1301l&link_type=abstract

Advances in Space Research, Volume 45, Issue 11, p. 1301-1310.

Computer Science

3

Scientific paper

This paper examines China’s Wenchuan Earthquake of 12 May 2008 (UTC) (Mw = 7.9) using principal component analysis and image processing of the global ionospheric map (GIM) for the region. Transforms are conducted for 4, 8, and 9 May 2008. The GIMs are subdivided into 100 (36° in Long. and 18° in Lat.) smaller maps. The smaller maps (71 × 71 pixels) form the transform matrices of corresponding dimensions (2 × 1) through image processing. The transform allows for principle eigenvalues to be assigned to TEC anomalies for May 8 and 9. These may represent the seismo-ionospheric signature described by Zhao et al. (2008). The May 4 result shows no evidence of TEC anomalies. These results are in keeping with the findings of Liu et al. (2009). It is evident in this research that PCA could have the capacity to detect both the seismo-ionospheric signature and determine the approximate location of an earthquake’s epicenter prior to nucleation.

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