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The Effect of Noise on Geoid Height in Stokes-Helmert Method

机译:噪声对Stokes-Helmert方法的大小水平高度的影响

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Noises are an inevitable part of gravity observations and they can affect the accuracy of the height datum if they are not treated properly in geoid determination. To provide data for geodetic boundary value problems, surface gravity observations must be transferred harmonically down to the geoid, which is called Downward Continuation (DC). Fredholm integral of the first kind is one of the physically meaningful ways of DC, where the Poisson kernel is used to evaluate the data on the geoid. DC behaves inherently as a high pass filter so it magnifies existing noise in Helmert gravity anomalies on geoid (free air anomalies after applying the Helmert's second condensation method); although the results on the geoid will be later smoothed by evaluating the Stokes's integral so the noise is less pronounced in the final geoid heights. The effect of noise in Stokes-Helmert geoid determination approach is numerically investigated in this study. The territory of Iran, limited to 44-62° longitude and 24-40° latitude, is considered as the area of interest in this study. The global gravity model EGM2008, up to degree/order 2160, is used to synthesize the free air gravity anomalies on a regular grid on topography and are then transferred to Helmert space using available Digital Elevation Models (DEMs). Different levels of noise are added to the data and the effects of noise are investigated using the SHGeo software package, developed at the University of New Brunswick (UNB). Results show that if the downward continuation of 5*5 arcmin surface points is required, the standard deviation of differences between "noisy" and "clean " data on the geoid will increase by 15% with respect to the corresponding standard deviation on topography. These differences will increase for denser grid resolutions. For example, the noise of Ag on geoid will increase up to 100% if 1*1 arc-min points are used. The results of evaluating the Stokes integral show smoother results in terms of noise in the d
机译:噪音是重力观测的不可避免的部分,如果没有在大猩猩测定中不适当治疗,它们会影响高度数据的准确性。为了提供对大地测量边界值问题的数据,必须将表面重力观测与大量地转移到大量的大地形,称为向下延续(DC)。 FREDHOLM的第一种是DC的物理上有意义的方式之一,其中泊松内核用于评估大地带数据。直流作为高通滤波器的行为行为,因此它在大量的大麻(在施加亥姆斯特的第二冷凝方法后自由空气异常)升起了现有的噪声。虽然大地带的结果将通过评估斯托克斯的积分而稍后平滑,因此在最终的大猩猩高度中噪音不太明显。本研究在数值上研究了斯托克斯 - 亥姆斯特大地区测定方法的噪声效果。伊朗的境内,限制在44-62°经度和24-40°纬度,被认为是本研究的兴趣领域。全局重力模型EGM2008,最多为程度/订单2160,用于在地形上合成规则网格上的自由空气重力异常,然后使用可用的数字高度模型(DEM)转移到Helmert空间。添加了不同水平的噪声,并使用Shgeo软件包调查了噪声的效果,在新的布鲁尼克(UNB)大学开发。结果表明,如果需要向下延续的5 * 5弧距表面点,则在地形上的相应标准偏差相应的标准偏差,“噪音”和“清洁”数据之间的标准偏差将增加15%。这些差异将增加更密集的网格分辨率。例如,如果使用1×1次氨敏点,则Geoid的AG的噪声将增加100%。评估Stokes积分的结果表明D噪音中的光滑结果

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