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最新中国陆地数字高程基准模型:重力似大地水准面CNGG2011 总被引：2，自引：2，他引：0
本文回顾了近20年国内外国家局部大地水准面模型研究的概况和发展背景,采用Stokes-Helmert方法,计算了一个新的2′×2′中国重力和1985国家高程基准似大地水准面数值模型（CNGG2011）,采用了1百万余陆地重力数据和SRTM 7″.5×7″.5地形高数据,以及649个B级GPS水准点数据。CNGG2011平均精度为±0.13m,东部地区±0.07m,西部地区±0.14m。各省区局部似大地水准面平均精度为±0.06m,东部为±0.05m,西部为±0.11m。西藏精度为±0.22m。本文还讨论了重力大地水准面与GPS水准的关系,提出了今后进一步精化我国高程基准大地水准面模型的构想。 相似文献
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将地球位模型计算的阜新似大地水准面拟合于GPS水准实测的似大地水准面。其方法是对每一个GPS水准点,以选定的地球位模型计算其高程异常值,并与其GPS水准实测高程异常值进行比较,得到高程异常的改正值,以此改正附近2.5′×2.5′格网点上用地球位模型计算的高程异常。 相似文献
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全球高程基准统一是继全球大地测量坐标系及其参考基准统一之后,大地测量学科面临和亟待解决的一个重要问题,也是全球空间信息共享与交换的基础。本文针对区域高程基准与全球高程基准间基准差异确定的理论、方法及实际问题开展研究。利用物理大地测量高程系统的经典理论方法,给出了高程基准差异的定义,并推导了计算基准差异的严密公式,该公式可将高程基准差异确定的现有3种方法统一起来。在此基础上,分析顾及了不同椭球参数对于计算基准差异的影响及量级,同时,高程异常差法还需考虑全球高程基准重力位与模型计算大地水准面位值不一致引起的零阶项改正。利用青岛原点附近152个GPS水准点数据,分别选择GRS80、WGS-84、CGCS2000参考椭球以及EGM2008、EIGEN-6C4、SGG-UGM-1模型,采用位差法和高程异常差法,确定了我国1985高程基准与全球高程基准的差异。其中,EIGEN-6C4模型计算的我国高程基准与WGS-84参考椭球正常重力位U0定义的全球高程基准之间的差异约为-23.1cm。也就是说,我国高程基准低于采用WGS-84参考椭球正常重力位U0定义的全球高程基准,当选取基于平均海面确定的Gauss-Listing大地水准面作为全球高程基准时,我国1985高程基准高于全球基准约21.0cm。从计算结果还可看出,当前重力场模型在青岛周边不同GPS/水准点的精度差别依然较大,这会导致选择不同数据对确定我国85国家高程基准与全球基准之间的差异影响较大,因此,若要实现厘米级精度区域高程基准与全球高程基准的统一,全球重力场模型的精度和可靠性还需要进一步提高。 相似文献
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大地水准面（数字高程基准）为国家高程基准的建立与维持提供了全新的思路。然而，受限于地形、重力数据等原因，高原地区高精度数字高程基准模型的建立一直是大地测量领域的难题。本文以格尔木地区为例，探讨了高原地区高精度数字高程基准模型的建立方法。首先，基于重力和地形数据，由第二类Helmert凝集法计算了格尔木重力似大地水准面。在计算中，考虑到高原地形对大地水准面模型的影响，采用了7.5″×7.5″分辨率和高精度的地形数据来恢复大地水准面短波部分的方法，以提高似大地水准面的精度。然后，利用球冠谐调和分析方法将GNSS水准与重力似大地水准面联合，建立了格尔木高精度数字高程基准模型。与实测的67个高精度GNSS水准资料比较，重力似大地水准面的外符合精度为3.0 cm，数字高程基准模型的内符合精度为2.0 cm。 相似文献
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基于2000国家大地坐标系和1985国家高程基准,阐述了在NBCORS和宁波市基本高程控制网的三维框架下组织实施宁波市似大地水准面数字高程基准建设的方法,并进行了似大地水准面的正确性和实用性精度检验以及精度区域划分。 相似文献
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利用不同重力场模型（EIGEN-6C4、EGM2008）和海面高模型（DNSC08、DTU10、DTU13）确定了全球平均海面重力位均值62 636 856.550 7 m2s-2,加入海面地形改正后得到全球大地水准面重力位均值62 636 858.179 0 m2s-2。联合EGM2008模型与全国均匀分布的649个GPS/水准数据,根据异常位法、正常高反算法以及高程异常差法,分别计算了我国1985高程基准与全球高程基准之间的垂直偏差,并对3种垂直偏差结果通过加权方法进行了改善。最后,利用两种方法对垂直偏差结果的合理性与正确性进行验证。结果表明我国高程基准面高于全球平均海面0.298 0 m,高于全球大地水准面0.464 2 m。 相似文献
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N. J. Brown J. C. McCubbine W. E. Featherstone N. Gowans A. Woods I. Baran 《Journal of Geodesy》2018,92(12):1457-1465
AUSGeoid2020 is a combined gravimetric–geometric model (sometimes called a “hybrid quasigeoid model”) that provides the separation between the Geocentric Datum of Australia 2020 (GDA2020) ellipsoid and Australia’s national vertical datum, the Australian Height Datum (AHD). This model is also provided with a location-specific uncertainty propagated from a combination of the levelling, GPS ellipsoidal height and gravimetric quasigeoid data errors via least squares prediction. We present a method for computing the relative uncertainty (i.e. uncertainty of the height between any two points) between AUSGeoid2020-derived AHD heights based on the principle of correlated errors cancelling when used over baselines. Results demonstrate AUSGeoid2020 is more accurate than traditional third-order levelling in Australia at distances beyond 3 km, which is 12 mm of allowable misclosure per square root km of levelling. As part of the above work, we identified an error in the gravimetric quasigeoid in Port Phillip Bay (near Melbourne in SE Australia) coming from altimeter-derived gravity anomalies. This error was patched using alternative altimetry data. 相似文献
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The effect of EGM2008-based normal, normal-orthometric and Helmert orthometric height systems on the Australian levelling network 总被引：4，自引：4，他引：0
This paper investigates the normal-orthometric correction used in the definition of the Australian Height Datum, and also computes and evaluates normal and Helmert orthometric corrections for the Australian National Levelling Network (ANLN). Testing these corrections in Australia is important to establish which height system is most appropriate for any new Australian vertical datum. An approximate approach to assigning gravity values to ANLN benchmarks (BMs) is used, where the EGM2008-modelled gravity field is used to ‘re-construct’ observed gravity at the BMs. Network loop closures (for first- and second-order levelling) indicate reduced misclosures for all height corrections considered, particularly in the mountainous regions of south eastern Australia. Differences between Helmert orthometric and normal-orthometric heights reach 44 cm in the Australian Alps, and differences between Helmert orthometric and normal heights are about 26 cm in the same region. Normal-orthometric heights differ from normal heights by up to 18 cm in mountainous regions >2,000 m. This indicates that the quasigeoid is not compatible with normal-orthometric heights in Australia. 相似文献
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确定局部高程基准相对大地水准面的垂直偏差是统一全球高程基准的重要途径。本文的目的是通过大港验潮站坐标直接确定我国高程基准的垂直偏差。首先给出通过大港验潮站坐标确定我国高程基准垂直偏差的基本原理,然后介绍测定大港验潮站平均海面坐标的方法及过程,接下来通过EGM2008和EIGEN-6C4重力场模型计算出的我国高程基准面的重力位,进而推算获得垂直偏差,并与我国东部地区GPS/水准数据的计算结果进行了比较。经分析发现,EGM2008模型计算结果的可靠性要好于EIGEN-6C4模型;利用大港验潮站坐标计算得到的我国高程基准相对大地水准面的垂直偏差为0.344 m,比利用我国东部261个GPS/水准点数据计算获得的偏差值小0.006 m。 相似文献
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The AUSGeoid09 model of the Australian Height Datum 总被引：8，自引：6，他引：2
W. E. Featherstone J. F. Kirby C. Hirt M. S. Filmer S. J. Claessens N. J. Brown G. Hu G. M. Johnston 《Journal of Geodesy》2011,85(3):133-150
AUSGeoid09 is the new Australia-wide gravimetric quasigeoid model that has been a posteriori fitted to the Australian Height
Datum (AHD) so as to provide a product that is practically useful for the more direct determination of AHD heights from Global
Navigation Satellite Systems (GNSS). This approach is necessary because the AHD is predominantly a third-order vertical datum
that contains a ~1 m north-south tilt and ~0.5 m regional distortions with respect to the quasigeoid, meaning that GNSS-gravimetric-quasigeoid
and AHD heights are inconsistent. Because the AHD remains the official vertical datum in Australia, it is necessary to provide
GNSS users with effective means of recovering AHD heights. The gravimetric component of the quasigeoid model was computed
using a hybrid of the remove-compute-restore technique with a degree-40 deterministically modified kernel over a one-degree
spherical cap, which is superior to the remove-compute-restore technique alone in Australia (with or without a cap). This
is because the modified kernel and cap combine to filter long-wavelength errors from the terrestrial gravity anomalies. The
zero-tide EGM2008 global gravitational model to degree 2,190 was used as the reference field. Other input data are ~1.4 million
land gravity anomalies from Geoscience Australia, 1′ × 1′ DNSC2008GRA altimeter-derived gravity anomalies offshore, the 9′′ × 9′′
GEODATA-DEM9S Australian digital elevation model, and a readjustment of Australian National Levelling Network (ANLN) constrained
to the CARS2006 mean dynamic ocean topography model. To determine the numerical integration parameters for the modified kernel,
the gravimetric component of AUSGeoid09 was compared with 911 GNSS-observed ellipsoidal heights at benchmarks. The standard
deviation of fit to the GNSS-AHD heights is ±222 mm, which dropped to ±134 mm for the readjusted GNSS-ANLN heights showing
that careful consideration now needs to be given to the quality of the levelling data used to assess gravimetric quasigeoid
models. The publicly released version of AUSGeoid09 also includes a geometric component that models the difference between
the gravimetric quasigeoid and the zero surface of the AHD at 6,794 benchmarks. This a posteriori fitting used least-squares
collocation (LSC) in cross-validation mode to determine a correlation length of 75 km for the analytical covariance function,
whereas the noise was taken from the estimated standard deviation of the GNSS ellipsoidal heights. After this LSC surface
fitting, the standard deviation of fit reduced to ±30 mm, one-third of which is attributable to the uncertainty in the GNSS
ellipsoidal heights. 相似文献
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Unification of New Zealand’s local vertical datums: iterative gravimetric quasigeoid computations 总被引：2，自引：2，他引：0
New Zealand uses 13 separate local vertical datums (LVDs) based on geodetic levelling from 12 different tide-gauges. We describe
their unification using a regional gravimetric quasigeoid model and GPS-levelling data on each LVD. A novel application of
iterative quasigeoid computation is used, where the LVD offsets computed from earlier models are used to apply additional
gravity reductions from each LVD to that model. The solution converges after only three iterations yielding LVD offsets ranging
from 0.24 to 0.58 m with an average standard deviation of ±0.08 m. The so-computed LVD offsets agree, within expected data
errors, with geodetically levelled height differences at common benchmarks between adjacent LVDs. This shows that iterated
quasigeoid models have a role in vertical datum unification. 相似文献
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平均海面存在趋势性变化，对于四维大地测量定位而言，必须赋予高程基准以时间特征，本文认为最好是确定高程基准历元。文章提出了高程基准历元的定义，给出了计算公式，求得中国１９８５国家高程基准历元为１９６６．０。文章还讨论了平均海面趋势性变化的数学问题，及提出了高程基准归化至统一状态的概念，研究了由于海水密度不同引起的平均海面高度变化，计算得中国１９８５国家高程基准对于通常海水状态的修正值为－０．０１２ｍ 相似文献
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1985国家高程基准的系统差 总被引：3，自引：0，他引：3
基于异常位、高程异常差以及海面地形模型 3种方法 ,分别求出了 1985国家高程基准相对于全球大地水准面的垂直偏差 ,并取得了一致的结果 相似文献
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The separation between the reference surfaces for orthometric heights and normal heights—the geoid and the quasigeoid—is typically
in the order of a few decimeters but can reach nearly 3 m in extreme cases. The knowledge of the geoid–quasigeoid separation
with centimeter accuracy or better, is essential for the realization of national and international height reference frames,
and for precision height determination in geodetic engineering. The largest contribution to the geoid–quasigeoid separation
is due to the distribution of topographic masses. We develop a compact formulation for the rigorous treatment of topographic
masses and apply it to determine the geoid–quasigeoid separation for two test areas in the Alps with very rough topography,
using a very fine grid resolution of 100 m. The magnitude of the geoid–quasigeoid separation and its accuracy, its slopes,
roughness, and correlation with height are analyzed. Results show that rigorous treatment of topographic masses leads to a
rather small geoid–quasigeoid separation—only 30 cm at the highest summit—while results based on approximations are often
larger by several decimeters. The accuracy of the topographic contribution to the geoid–quasigeoid separation is estimated
to be 2–3 cm for areas with extreme topography. Analysis of roughness of the geoid–quasigeoid separation shows that a resolution
of the modeling grid of 200 m or less is required to achieve these accuracies. Gravity and the vertical gravity gradient inside
of topographic masses and the mean gravity along the plumbline are modeled which are important intermediate quantities for
the determination of the geoid–quasigeoid separation. We conclude that a consistent determination of the geoid and quasigeoid
height reference surfaces within an accuracy of few centimeters is feasible even for areas with extreme topography, and that
the concepts of orthometric height and normal height can be consistently realized and used within this level of accuracy. 相似文献
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GPS-levelling points are widely used to control gravimetric geoid or quasigeoid models. Direct comparison is often interpreted
to reveal the accuracy of the gravimetric model, using GPS-levelling as a reference. However, both GPS and levelled heights
contain errors, and in order to achieve a centimeter-accuracy geoid, these should be investigated. The Norwegian Height System
NN1954 is known to contain large systematic errors due to postglacial land uplift in the area. In this study, the current
height system and two revised versions, corrected for uplift, are applied to compute three sets of control quasigeoid heights
in the southern part of Norway. These heights are then compared to various Nordic gravimetric quasigeoid models generated
during the last two decades. In contradiction to some earlier studies, the accuracy of gravimetric quasigeoid models for this
area are found to improve near-linearly with time. This is in accordance with expectations, since both data coverage and computation
methods have progressed during this time. However, this study shows the importance of establishing accurate and error-free
control data for geoid comparisons. 相似文献