GOCE重力张量对角分量反演反演重力异常的区域恢复——以埃塞俄比亚为例

IF 0.7 Q4 ASTRONOMY & ASTROPHYSICS
M. Eshagh, Andenet A. Gedamu, T. Bedada
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引用次数: 2

摘要

摘要由于地球的引力场在地球表面外是谐波的,引力张量是无迹可循的。因此,对其对角线分量的二阶水平导数求和应该等于径向导数,但符号相反。重力场可以从它们中的任何一个,甚至它们的组合中局部恢复。本文利用重力场和稳态海洋环流探测器(GOCE)任务测得的重力张量在轨对角线分量恢复埃塞俄比亚海平面重力异常,分辨率为1°×1°。为了求解积分方程离散化后导出的方程组,应用Tikhonov正则化,估计该正则化的偏差并从估计的重力异常中去除。对异常误差进行了估计,并对这些对角分量的恢复意义进行了探讨。统计上,从每个场景中恢复的异常之间的差异与其误差相比并不显著。然而,他们对角组分的联合反转使溶液提高了约1mgal。此外,与排除输入数据的误差相比,使用输入数据的误差可以更好地稳定反演过程,但代价是估计精度的降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regional Recovery of Gravity Anomaly from the Inversion of Diagonal Components of GOCE Gravitational Tensor: A Case Study in Ethiopia
Abstract The tensor of gravitation is traceless as the gravitational field of the Earth is harmonic outside the Earth’s surface. Therefore, summation of the 2nd-order horizontal derivatives on its diagonal components should be equal to the radial one but with the opposite sign. The gravity field can be recovered locally from either of them, or even their combination. Here, we use the in-orbit diagonal components of the gravitational tensor measured by the gravity field and steady state ocean circulation explorer (GOCE) mission for recovering gravity anomaly with a resolution of 1°×1° at sea level in Ethiopia. In order to solve the system of equations, derived after discretisation of integral equations, the Tikhonov regularisation is applied and the bias of this regularisation is estimated and removed from the estimated gravity anomalies. The errors of the anomalies are estimated and their significance of recovery from these diagonal components is investigated. Statistically, the difference between the recovered anomalies from each scenario is not significant comparing to their errors. However, their joint inversion of the diagonal components improved the solution by about 1 mGal. Furthermore, the inversion processes are better stabilised when using errors of the input data compared with its exclusion, but at the penalty of degradation in accuracy of the estimates.
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CiteScore
1.00
自引率
11.10%
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