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Gravity Data Inversion To Determine 3D Topographycal Density Contrast of Banten Area, Indonesia Based on Fast Fourier Transform

机译:重力数据反演确定基于快速傅里叶变换的印度尼西亚的Banten地区的3D地形态密度对比

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The 3D inversion gravity anomaly to estimate topographical density using a matlab source code from gridded data provided by Parker Oldenburg algorithm based on fast Fourier transform was computed. We extend and improved the source code of 3DINVERT.M invented by Gomez Ortiz and Agarwal (2005) using the relationship between Fourier transform of the gravity anomaly and the sum of the Fourier transform from the topography density. We gave density contrast between the two media to apply the inversion. FFT routine was implemented to construct amplitude spectrum to the given mean depth. The results were presented as new graphics of inverted topography density, the gravity anomaly due to the inverted topography and the difference between the input gravity data and the computed ones. It terminates when the RMS error is lower than preassigned value used as convergence criterion or until maximum of iterations is reached. As an example, we used the matlab program on gravity data of Banten region, Indonesia.
机译:计算了基于基于快速傅里叶变换的Parker Oldenburg算法提供的来自网格数据的网格源代码来估算使用MATLAB源代码的地形密度的3D反转重力异常。我们使用Gomez Ortiz和Agarwal(2005)来扩展和改进了由Gomez Ortiz和Agarwal(2005)的源代码,使用重力异常的傅里叶变换与来自地形密度的傅里叶变换之和的关系。我们在两个媒体之间产生了密度对比来应用反转。实现FFT例程以将幅度谱构造到给定的平均深度。结果呈现为倒置形貌密度的新图形,引起的重力异常,由于倒置的地形和输入重力数据和计算的差异。当RMS误差低于使用作为收敛标准的预先评估值或直到达到迭代的最大值时,它终止。作为一个例子,我们使用了印度尼西亚Banten地区的重力数据上的Matlab程序。

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