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地磁绝对子夜均值短周期异常数据识别方法
Study on Identifying Short-term Anomalies in Geomagnetic Absolute Averages at Local Midnight
- DOI:
- 作者:
- 李西京 ) 杨冬梅2) 姚休义2) 高登平3) 张素琴2)
- 作者单位:
- 1）中国陕西713300乾陵地磁台2）中国北京100081中国地震局地球物理研究所 3）中国河北省055350红山基准地震台
- 关键词:
- 地磁绝对子夜均值；短周期异常；识别方法； 线性归一化； 空间线性拟合
Geomagnetic absolute averages; Local midnight; Short-term anomalies; Linear normalization; Spatially linear fitting
- 摘要:
-
以满洲里、红山、武汉、泉州4个地磁基准台站2009年D、H和Z三要素绝对子夜均值数据为例，对短周期异常数据识别方法进行研究。通过线性去倾和去除27日滑动平均处理，剔除周期较长的主磁场变化及季节变化的影响，在此基础上研究残差数据随纬度分布的规律，发现各要素之间分布各异。由此，对不同的地磁要素建立不同的短周期异常识别方法，结合数据曲线进行甄别。
Based on the geomagnetic absolute averages at local midnight of D, H and Z components in 2009 at Manzhouli (MZL), Hongshan (LYH), Wuhan (WHN) and Quanzhou (QZH) magnetic observatories, the method to identify the short-term anomalies in geomagnetic absolute averages was studied. Firstly, the secular variations were removed by subtracting the trend lines and the seasonal variations were removed by subtracting the 27-day moving averages in the midnight data. Secondly, the variations of the residuals with the latitudes were studied. We found that different components varied differently with latitudes, so different methods were used for D, H and Z to identify the short-term anomalies in the residual data.
