Abstract

Nonlinear principal component analysis (NLPCA) was performed to examine the total electron content (TEC) anomalies for the China Wenchuan earthquake of May 12, 2008 (= 7.9). This was applied to global ionospheric maps (GIMs) at heights from 150 km to 450 km, with the transforms conducted for the time period 00:00 to 06:00 UT on May 12, 2008. The earthquake occurred at 06:28 UT. The GIMs were analyzed by PCA and NLPCA, whereby they were separated into 100 smaller maps of 36° in longitude and 18° in latitude. These smaller maps are constructed at 71 × 71 pixels, which forms the transform matrix for NLPCA. The transform allows a principal eigenvalue to be assigned for each of the smaller maps. The results of the transforms provide 100 principal eigenvalues that cover the region, which includes the epicenter of the Wenchuan earthquake. The possibility of TEC anomalies caused by X-ray fluxes and geomagnetic activity is eliminated by reviewing X-ray flux data and the Kp index. The eigenvalues of NLPCA are compared with those of PCA. TEC anomalies were clearly detected using NLPCA, with large principal eigenvalues that represent earthquake-related TEC anomalies near the epicenter for the time period 00:00-0600 UT. The results of this study are discussed in terms of the potential causes of these TEC anomalies, especially for the time period 02:00-04:00 UT, when rocks around the epicenter were potentially subjected to a rapid increase in stress, which might have induced very pronounced p-type semiconductor effects. These effects will probably have been present for the other time periods, but might not have been so pronounced.

Highlights

  • The China Wenchuan earthquake occurred on May 12, 2008, at 06:28:00 (UT), at latitude 31.119 ̊N and longitude 103.258 ̊E with M = 7.9

  • The results showed earthquake-related total electron content (TEC) anomalies before 21 of these 24 larger earthquakes, after making allowances for Xray flux and geomagnetic storm activity

  • For the time period 02:00-04:00 UT, the principal eigenvalues are clearly large above the epicenter. These large eigenvalues cannot be detected using PCA. These results show that Nonlinear principal component analysis (NLPCA) is better at the detection of TEC anomalies than PCA for these time periods

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Summary

Introduction

One particular area of study has been the detection of total electron content (TEC) anomalies prior to the mainshock [Zhao et al 2008, Liu et al 2009, Liu et al 2010, Jhung et al.2010, Jin et al 2010, Kakinami et al 2010]. These studies have shown either enhancement or depletion of the TEC over the earthquake preparation zone in the few days leading up to the Wenchuan earthquake. The results showed earthquake-related TEC anomalies before 21 of these 24 larger earthquakes, after making allowances for Xray flux and geomagnetic storm activity

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