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On the interpolation of high-frequency gravity field signals in mountainous areas

机译:关于山区高频重力场信号的内插

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The paper presents a comparison among different techniques in interpolating high-frequency gravity field signals in mountainous areas. A gap of 1° ×1° has been artificially created within the free-air gravity anomalies data set for Austria. The remaining data set has been used to interpolate the free-air gravity anomalies at the gap points; then a comparison between the interpolated and the data values has been carried out to determine the accuracy of the used interpolation technique. The following interpolation techniques have been used: Kriging interpolation technique from free-air gravity anomalies, traditional remove-restore technique and window technique (Abd-Elmotaal and Kühtreiber, 2003). For the latter two techniques, the reduced anomalies have been used to interpolate gravity anomalies at the data points of the gap using a least squares collocation technique. The effect of the topographic-isostatic masses has been restored using both techniques. A comparison between the data and interpolated values of free-air anomalies at the gap points has been carried out. The results show that the Kriging technique cannot be used for interpolating high-frequency gravity field signals in mountainous areas and the window technique gives the best results with an interpolation standard deviation of about 11 mgal. The range difference and the standard deviation of the residuals in case of the window technique are smaller than those of the traditional remove-restore technique by about 25%
机译:本文对山区插补高频重力场信号的不同技术进行了比较。在奥地利的自由重力异常数据集中,人为地创建了1°×1°的间隙。剩余的数据集已用于在间隙点处插入自由重力异常。然后对插值和数据值进行比较,以确定所用插值技术的准确性。使用了以下插值技术:来自空中重力异常的Kriging插值技术,传统的去除-恢复技术和窗口技术(Abd-Elmotaal和Kühtreiber,2003年)。对于后两种技术,已使用最小二乘并置技术将减少的异常用于在间隙的数据点处插入重力异常。使用这两种技术都恢复了地形等静质量的影响。已对间隙点处的空气异常的数据和内插值进行了比较。结果表明,Kriging技术不能用于对山区的高频重力场信号进行插值,而窗口技术以约11 mgal的插值标准偏差提供了最佳结果。使用窗口技​​术的情况下,残差的距离差异和标准偏差比传统的删除/恢复技术小约25%

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