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地磁绝对子夜均值短周期异常数据识别方法
引用本文:李西京,杨冬梅,姚休义,高登平,张素琴.地磁绝对子夜均值短周期异常数据识别方法[J].地震地磁观测与研究,2012,33(5):98-104.
作者姓名:李西京  杨冬梅  姚休义  高登平  张素琴
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055350,红山基准地震台
基金项目:地震行业专项"大震应急流动观测与科学产品加工关键技术研究与应用"
摘    要:以满洲里、红山、武汉、泉州地磁基准台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,对不同地磁要素建立不同短周期异常识别方法,结合数据曲线进行甄别。

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

Study on identifying short-term anomalies in geomagnetic absolute averages at local midnight
Li Xijing , Yang Dongmei , Yao Xiuyi , Gao Dengping , Zhang Suqin.Study on identifying short-term anomalies in geomagnetic absolute averages at local midnight[J].Seismological and Geomagnetic Observation and Research,2012,33(5):98-104.
Authors:Li Xijing  Yang Dongmei  Yao Xiuyi  Gao Dengping  Zhang Suqin
Institution:1) Qianling Magnetic Observatory, Shaanxi Province 713300, China ;2) Institute of Geophysics, China Earthquake Administration, Beijing 100081, China; 3) Hongshan Magnetic Observatory, Hebei Province 055350, China)
Abstract: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 avera- ges 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.
Keywords:geomagnetic absolute averages  local midnight  short-term anomalies  linear normalization  spatially linear fitting
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