基于主动约束平衡算法的空中电场大地电磁法数据反演

Inversion of AEMT Data based on ACB Least Squares

空中电场大地电磁法(air electric field electromagnetic method,AEMT)是用电容传感器和磁场传感器观测电磁场在地表空气中的分布情况,研究地下地质结构的一种方法。为探究该方法的实用性,首先从其原理出发,以某尾矿库采集的数据为基础,使用主动约束平衡最小二乘法(active constraint balancing,ACB)反演,并分析算法中拉格朗日乘子与网格剖分因子的取值范围。其结果较好地反映了尾矿库尾矿的埋藏情况,为空中电场大地电磁法数据的反演提供了切实可行的方法。

The air electric field electromagnetic method(AEMT)is a method of observing the distribution of electromagnetic fields in the surface air using capacitance sensors and magnetic field sensors,and studying the underground geological structure.In order to explore the practicability of this method,this article starts from its principle,based on the data collected from a tailings pond,uses active constraint balancing(ACB)inversion,and analyzes the range of Lagrangian multipliers and meshing factors in the algorithm.the results better reflect the burial situation of the tailings pond,and provide a practical method for the inversion of the data from AEMT.