重力及其梯度异常正演的Moving-footprint大尺度模型分解方法

石泽玉, 张志厚, 刘鹏飞, 范祥泰

Moving-footprint-based large-scale model decomposition method for forward modeling of gravity and gravity gradient anomalies

SHI Ze-Yu, ZHANG Zhi-Hou, LIU Peng-Fei, FAN Xiang-Tai

表3 32×32子空间计算结果的均方差和平均相对误差

Table 3 The mean square error and average relative error of the 32×32 subspace calculation results

数据 U0/(g.u.) Uxx/E Uxy/E Uxz/E Uyy/E Uyz/E Uzz/E 均方差 1.5081 1.4733 1.2665 0.4107 1.4765 0.4115 1.8803 平均相对误差 9.01% 19.90% 29.09% 4.76% 19.94% 4.77% 15.47%