一种改进的地磁场矩谐分析建模方法研究

Study on Geomagnetic Field Model Building in RHA Based on Intelligent Algorithms

基于地磁场建模方法优缺点的分析,采用矩谐分析建模方法建立局部区域地磁场模型,并针对矩谐分析建模方法存在的不足,引入IGRF模型数据结合曲面样条插值的方法来补充边界区域地磁数据,通过模拟退火法优化粒子群算法推导矩谐模型系数,建立基于智能算法的局部区域地磁场矩谐模型,最后修正了矩谐分析建模方法存在模型精度低、边界振荡等问题。结果表明,改进后的矩谐分析建模方法建立的局部区域地磁场矩谐模型精度高,避免了传统的矩谐分析建模方法系数求解困难,建模边缘区域缺少建模数据,导致建立地磁场模型在边缘区域出现地磁场振荡现象。

Based on the analysis of advantages and disadvantages for the geomagnetic field modeling methods, rectangular harmonic analysis（RHA） is using to build local area geomagnetic field model, and then the presence drawback of RHA is analyzed. The method of IGRF model data combined with surface spline interpolation is inducted to complement boundary area geomagnetic data. Local area geomagnetic rectangular model based on intelligent algorithms is build by using anneal method to optimize particle group algorithm which derivates rectangular harmonic model coefficient. Finally, the low precision and border concussion for rectangular harmonic analysis method is corrected. The results show that the im- proved rectangular harmonic analysis method has a higher precision than the local area geomagnetic rec- tangular model, when it is very hard to get the coefficient from traditional rectangular harmonic analysis model method, and there is a lack of modeling data in modeling edge region, which results in the border geomagnetic field concussion in geomagnetic model.