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Potential reasons for ionospheric anomalies detected by nonlinear principal component analysis just before the China Wenchuan earthquake, and their relationship to source conditions

机译:汶川地震前非线性主成分分析电离层异常的潜在原因及其与震源条件的关系

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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.
机译:进行了非线性主成分分析(NLPCA),以检查2008年5月12日中国汶川地震(= 7.9)的总电子含量(TEC)异常。这已应用于高度在150 km至450 km的全球电离层图(GIM),转换时间为2008年5月12日的UT 00:00到06:00。地震发生在UT的06:28。通过PCA和NLPCA对GIM进行了分析,从而将其分为100个较小的地图,分别是经度36°和纬度18°。这些较小的图以71×71像素构造,形成了NLPCA的变换矩阵。该变换允许为每个较小的图分配主特征值。转换的结果提供了覆盖该区域的100个主要特征值,其中包括汶川地震的震中。通过查看X射线通量数据和Kp指数,可以消除由X射线通量和地磁活动引起的TEC异常的可能性。将NLPCA的特征值与PCA的特征值进行比较。使用NLPCA可以清晰地检测到TEC异常,其主要特征值较大,代表了在UT 00:00-0600 UT震中附近地震相关的TEC异常。就这些TEC异常的潜在原因,尤其是在UT 02:00-04:00 UT期间的潜在原因进行了讨论,当震中周围的岩石可能承受快速的应力增加时,引起非常明显的p型半导体效应。这些影响可能会在其他时间段出现,但可能不会那么明显。

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