中国大陆地磁帕金森矢量特征及其与主要构造关系龚绍京
Characteristics of geomagnetic Parkinson vector in Chinese mainland and their tectonic implication
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摘要: 利用地磁差矢量法和复转换函数法计算了中国大陆36个地磁台的地磁优势面、 帕金森矢量及误差. 结果显示: 华北南部、 华中、 华南地区(包括贵阳和邵阳)及沿海台站的帕金森矢量长度随周期减小而增大, 表明浅层的电性结构横向不均匀性较大; 西部的拉萨、 通海、 西昌、 成都等台站的帕金森矢量长度, 随周期增长而增大, 表明深层的电性结构横向不均匀性较大; 诸如华北平原的稳定地块, 其内部的矢量长度很小, 表明该地区为大体水平分层的电性结构. 我国大陆存在多个较明显的帕金森矢量敛散区, 其中青藏高原和渤海湾周边台站的帕金森矢量内聚, 鄂尔多斯地块的矢量向四周发散; 沿海台站具有较明显的海岸效应. 此外, 由差矢量分布推断所得的优势面倾向和倾角与利用帕金森矢量系数公式计算所得的结果有较好的一致性, 与复转换函数方法给出的结果也比较一致.Abstract: In this paper, the geomagnetic preferred planes, Parkinson vectors and their errors at 36 geomagnetic stations of the Chinese mainland are calcu-lated with the methods of geomagnetic difference-vector and complex transfer function. The results show that for these observatories in the southern portion of North China, Central China and South China (containing Guiyang and Shao-yang) and the coastal observatories, the lengths of Parkinson vectors increase as the period decreases, which indicates the conductivity structure in shallow is more horizontally inhomogeneous. However, for the observatories of western China, such as Lhasa, Tonghai, Xichang, Chengdu, the lengths of Parkinson vectors increase as the period increases, which indicates in the deeper there are more clearly horizontal differences in conductivity. On the Chinese mainland, there are obviously some convergence and radiation regions of Parkinson vectors, among Parkinson vectors of the stations in Qinghai-Tibetan Plateau and around the Bohai Sea cohesive; however those in the Ordos block diffuse. For the coastal observatories exists a more clearly seacoast-effect. For the stable blocks, such as North China plain, the lengths of Parkinson vectors are shorter, suggesting that the conductivity structure of these blocks are close to layered levelly. In addition, the inclination and dip angle of the preferred plane inferred from difference-vector algorithm are almost consistent with those calculated from Parkinson vector formula, and agree well with those obtained from transfer function.