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Utilisation of Fast Fourier Transform and Least-squares Modification of Stokes formula to compile approximate geoid heights over Khartoum State: Sudan

机译:利用快速傅里叶变换和斯托克斯公式的最小二乘修正来编制喀土穆州近似大地水准面高度:苏丹

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摘要

We use Fast Fourier Transform (FFT) and Least-squares modification (LSM) of Stokes formula to compute the approximate geoid over Khartoum State in Sudan. The two methods (FFT and LSM) have been utilised to test their efficiency with respect to EGM08 and the local GPS-levelling data. The FFT method has many advantages, it is fast and it reduces the computational complexity. The modification of Stokes formula is widely used in geoid modelling, however, its implementation based on point-wise summation requires a considerable amount of time. In FFT we combine the terrestrial gravity data and the global geopotential model (GGM) by means of a remove-compute-restore procedure and we successfully apply the modification of the Stokes formula in the least-squares sense. FFT and LSM approximate geoid solutions are evaluated against EGM2008 and the GPS-levelling data. The analysis of the undulation differences shows that the LSM solution is more compatible with EGM08 and GPS-levelling data. The discrepancies of the differences are removed using a 4-parameter model, the standard deviation (STD) of the undulation differences of LSM decreased from 0.41 m to 0.37 m and from 0.48 m to 0.39 m for FFT solution. There is no significant impact to the LSM geoid when adding the additive corrections, while the FFT geoid solution is slightly improved when terrain correction is applied.
机译:我们使用斯托克斯公式的快速傅里叶变换(FFT)和最小二乘修正(LSM)来计算苏丹喀土穆州的近似大地水准面。两种方法(FFT和LSM)已用于测试其相对于EGM08和本地GPS水准数据的效率。 FFT方法具有许多优点,它速度快并且降低了计算复杂度。 Stokes公式的修改已广泛用于大地水准面建模中,但是,基于逐点求和的实现需要相当长的时间。在FFT中,我们通过“移除-计算-还原”过程将地面重力数据与全局地势模型(GGM)结合在一起,并成功地在最小二乘意义上应用了斯托克斯公式的修改。针对EGM2008和GPS水准仪数据评估了FFT和LSM近似大地水准面解决方案。对波动差异的分析表明,LSM解决方案与EGM08和GPS水准仪数据更兼容。使用4参数模型消除了差异的差异,对于FFT解决方案,LSM的波动差异的标准偏差(STD)从0.41 m减小到0.37 m,从0.48 m减小到0.39 m。添加附加校正后,对LSM大地水准面没有显着影响,而当应用地形校正时,FFT大地水准面解决方案略有改善。

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    Abdalla A; Green CM;

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  • 年度 2016
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  • 原文格式 PDF
  • 正文语种 en
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