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1.
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 m~2s~(-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 m~2 s~(-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1 985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   

2.
赫林  李建成  褚永海 《测绘学报》2016,45(7):768-774
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   

3.
CH20023004 1985国家高程基准相对于大地水准面的垂直偏差/焦文海,魏子卿,马欣,孙中苗,李迎春∥测绘学报.—2002,31(3).—196~200 提出利用全球重力场模型和GPS/水准资料计算局部高程基准相对全球大地水准面垂直偏差的2种不同方法。我国目前采用的1985国家高程基准,由青岛验潮站所处黄海平均海面1952—1979年的验潮记录计算得到。利用全球重力场模型和分布全国大陆范围的GPS/水准数据,计算了1985高程基准与大地水准面的垂直偏差。结果表明:1985国家高程基准点的重力位值为(62636853.40±0.13)m~2s~(-1),这比重力位W_0=(62636856.0±0.5)m~2s~(-2)隐含的大地水准面高(0.26±0.05)m。图1表2参5 CH20023005 全国高分辨率格网地形和均衡改正的确定/郭春喜,王惠民,王斌(国家测绘局大地测量数据处理中心)…∥测绘学报.—2002,31(3).—201~205  相似文献   

4.
应用EGM2008模型和GPS/水准数据确定局部似大地水准面   总被引:1,自引:0,他引:1  
针对由地球重力场模型、地而重力数据、DEM数据以及GPS/水准数据精化区域似大地水准面的技术在工程测量领域不便于推广应用的情况,提出应用EGM2008模型和GPS/水准数据确定局部似大地水准面的方法,并给工程算例进行分析.计算结果表明,应用EGM2008模型和GPS/水准数据确定局部似大地水准面的精度可达2 cm,可满...  相似文献   

5.
1985国家高程基准相对于大地水准面的垂直偏差   总被引:12,自引:1,他引:12  
局部高程基准通常由一个 (或多个 )验潮站所测的当地平均海面确定。由于海面地形的客观存在 ,人们已经认识到当地平均海面与大地水准面的差异可能达 2m之多。为了获得这一垂直偏差 ,很有必要确定当地平均海面和全球大地水准面上的重力位值。提出了利用全球重力场模型和GPS/水准资料计算局部高程基准相对全球大地水准面垂直偏差的 2种不同方法。我国目前采用的 1 985国家高程基准 ,由青岛验潮站所处黄海平均海面 1 95 2~ 1 979年的验潮记录计算得到。利用全球重力场模型和分布全国大陆范围的GPS/水准数据 ,计算了 1 985高程基准与大地水准面的垂直偏差。结果表明 1 985国家高程基准点的重力位值为( 62 63685 3.40± 0 .1 3)m2 s- 2 ,这比重力位W0 =( 62 63685 6.0± 0 .5 )m2 s- 2 隐含的大地水准面高 ( 0 .2 6± 0 .0 5 )m。  相似文献   

6.
结合我国重力和地形资料及国内外较优的重力场模型,研制了适合我国重力场特征的360阶重力场模型WDM94,建立了中国新一代包括全部陆海国土的dm级(似)大地水准面CQG2000,建立了中国以GPS/水准为基础的高程异常控制网,利用海洋卫星测高数据进行我国海洋大地水准面的计算、我国陆地重力(似)大地水准面的研制厦我国陆海(似)大地水准面的拼接;研制了江苏省、海南省、深圳市、大连市、南京市及南水北调西线工程具有cm级精度的省市地区(似)大地水准面模型;结合GPS技术和高精度(似)大地水准面模型,研制了GPS测图软硬件一体化系统。  相似文献   

7.
结合我国重力和地形资料及国内外较优的重力场模型,研制适合我国重力场特征的360阶重力场模型WDM94;建立中国新一代分米级似大地水准面CQG2000,包括建立新的以GPS/水准为基础的高程异常控制网、利用海洋卫星测高数据计算海洋大地水准面、陆地重力似大地水准面的研制及陆海似大地水准面的拼接等;研制江苏省、海南省、深圳市、大连市、南京市及"南水北调"西线工程具有厘米级精度的局域似大地水准面模型;结合GPS技术和高精度似大地水准面模型,研制GPS测图软硬件一体化系统.本研究项目获得2004年度国家科技进步二等奖.  相似文献   

8.
张英杰  文汉江  王友雷  刘焕玲 《测绘科学》2016,41(12):184-188,278
针对不同国家和地区高程基准不一致的问题,该文采用GOCE重力场模型和GPS/水准数据对高程基准统一的方法进行了研究,分析了基于GOCE的不同重力场模型用于计算亚太区域(110°E~180°E,50°S~50°N)高程基准偏差的差异,基于重力场模型GECO,利用亚太区域36个验潮站附近的GPS/水准点数据计算的平均海平面与大地水准面垂直偏差的平均值为0.416m,利用日本沿岸5个GPS/水准点数据计算的高程基准与大地水准面垂直偏差的平均值为0.185m,利用澳大利亚沿岸4个GPS/水准点数据计算的高程基准与大地水准面垂直偏差的平均值为0.41m。  相似文献   

9.
陆海交界区域厘米级精度似大地水准面的确定   总被引:1,自引:0,他引:1  
为了得到我国某陆海交界区厘米级精度的区域(似)大地水准面,利用43个高精度GPS/水准点和1045个实测重力点数据对EGM96,WDM94和GFZ计算的局部重力(似)大地水准面进行了比较与评价。结果表明,在该测区用移去.恢复法确定重力(似)大地水准面时,EGM96应该是首选参考重力场模型。该测区处在陆海交界处,海域无GPS/水准数据。经比较发现,采用距离倒数加权平均法将该区重力似大地水准面拟合于GPS/水准数据比在大范围使用的多项式法效果更好。采用该方法计算的测区(似)大地水准面精度优于3cm。  相似文献   

10.
为了得到我国某陆海交界区厘米级精度的区域(似)大地水准面,利用43个高精度GPS/水准点和1 045个实测重力点数据对EGM96,WDM94和GFZ计算的局部重力(似)大地水准面进行了比较与评价。结果表明,在该测区用移去-恢复法确定重力(似)大地水准面时,EGM96应该是首选参考重力场模型。该测区处在陆海交界处,海域无GPS/水准数据。经比较发现,采用距离倒数加权平均法将该区重力似大地水准面拟合于GPS/水准数据比在大范围使用的多项式法效果更好。采用该方法计算的测区(似)大地水准面精度优于3cm。  相似文献   

11.
Recently, four global geopotential models (GGMs) were computed and released based on the first 2 months of data collected by the Gravity field and steady-state Ocean Circulation Explorer (GOCE) dedicated satellite gravity field mission. Given that GOCE is a technologically complex mission and different processing strategies were applied to real space-collected GOCE data for the first time, evaluation of the new models is an important aspect. As a first assessment strategy, we use terrestrial gravity data over Switzerland and Australia and astrogeodetic vertical deflections over Europe and Australia as ground-truth data sets for GOCE model evaluation. We apply a spectral enhancement method (SEM) to the truncated GOCE GGMs to make their spectral content more comparable with the terrestrial data. The SEM utilises the high-degree bands of EGM2008 and residual terrain model data as a data source to widely bridge the spectral gap between the satellite and terrestrial data. Analysis of root mean square (RMS) errors is carried out as a function of (i) the GOCE GGM expansion degree and (ii) the four different GOCE GGMs. The RMS curves are also compared against those from EGM2008 and GRACE-based GGMs. As a second assessment strategy, we compare global grids of GOCE GGM and EGM2008 quasigeoid heights. In connection with EGM2008 error estimates, this allows location of regions where GOCE is likely to deliver improved knowledge on the Earth’s gravity field. Our ground truth data sets, together with the EGM2008 quasigeoid comparisons, signal clear improvements in the spectral band ~160–165 to ~180–185 in terms of spherical harmonic degrees for the GOCE-based GGMs, fairly independently of the individual GOCE model used. The results from both assessments together provide strong evidence that the first 2 months of GOCE observations improve the knowledge of the Earth’s static gravity field at spatial scales between ~125 and ~110 km, particularly over parts of Asia, Africa, South America and Antarctica, in comparison with the pre-GOCE-era.  相似文献   

12.
Improvements in height datum transfer expected from the GOCE mission   总被引:1,自引:1,他引:1  
 One of the aims of the Earth Explorer Gravity Field and Steady-State Ocean Circulation (GOCE) mission is to provide global and regional models of the Earth's gravity field and of the geoid with high spatial resolution and accuracy. Using the GOCE error model, simulation studies were performed in order to estimate the accuracy of datum transfer in different areas of the Earth. The results showed that with the GOCE error model, the standard deviation of the height anomaly differences is about one order of magnitude better than the corresponding value with the EGM96 error model. As an example, the accuracy of the vertical datum transfer from the tide gauge of Amsterdam to New York was estimated equal to 57 cm when the EGM96 error model was used, while in the case of GOCE error model this accuracy was increased to 6 cm. The geoid undulation difference between the two places is about 76.5 m. Scaling the GOCE errors to the local gravity variance, the estimated accuracy varied between 3 and 7 cm, depending on the scaling model. Received: 1 March 2000 / Accepted: 21 February 2001  相似文献   

13.
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   

14.
A global geopotential model, like EGM2008, is not capable of representing the high-frequency components of Earth’s gravity field. This is known as the omission error. In mountainous terrain, omission errors in EGM2008, even when expanded to degree 2,190, may reach amplitudes of 10 cm and more for height anomalies. The present paper proposes the utilisation of high-resolution residual terrain model (RTM) data for computing estimates of the omission error in rugged terrain. RTM elevations may be constructed as the difference between the SRTM (Shuttle Radar Topography Mission) elevation model and the DTM2006.0 spherical harmonic topographic expansion. Numerical tests, carried out in the German Alps with a precise gravimetric quasigeoid model (GCG05) and GPS/levelling data as references, demonstrate that RTM-based omission error estimates improve EGM2008 height anomaly differences by 10 cm in many cases. The comparisons of EGM2008-only height anomalies and the GCG05 model showed 3.7 cm standard deviation after a bias-fit. Applying RTM omission error estimates to EGM2008 reduces the standard deviation to 1.9 cm which equates to a significant improvement rate of 47%. Using GPS/levelling data strongly corroborates these findings with an improvement rate of 49%. The proposed RTM approach may be of practical value to improve quasigeoid determination in mountainous areas without sufficient regional gravity data coverage, e.g., in parts of Asia, South America or Africa. As a further application, RTM omission error estimates will allow refined validation of global gravity field models like EGM2008 from GPS/levelling data.  相似文献   

15.
李建成  褚永海  徐新禹 《测绘学报》2017,46(10):1262-1273
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   

16.
The height datum problem and the role of satellite gravity models   总被引:1,自引:0,他引:1  
Regional height systems do not refer to a common equipotential surface, such as the geoid. They are usually referred to the mean sea level at a reference tide gauge. As mean sea level varies (by ±1 to 2 m) from place to place and from continent to continent each tide gauge has an unknown bias with respect to a common reference surface, whose determination is what the height datum problem is concerned with. This paper deals with this problem, in connection to the availability of satellite gravity missions data. Since biased heights enter into the computation of terrestrial gravity anomalies, which in turn are used for geoid determination, the biases enter as secondary or indirect effect also in such a geoid model. In contrast to terrestrial gravity anomalies, gravity and geoid models derived from satellite gravity missions, and in particular GRACE and GOCE, do not suffer from those inconsistencies. Those models can be regarded as unbiased. After a review of the mathematical formulation of the problem, the paper examines two alternative approaches to its solution. The first one compares the gravity potential coefficients in the range of degrees from 100 to 200 of an unbiased gravity field from GOCE with those of the combined model EGM2008, that in this range is affected by the height biases. This first proposal yields a solution too inaccurate to be useful. The second approach compares height anomalies derived from GNSS ellipsoidal heights and biased normal heights, with anomalies derived from an anomalous potential which combines a satellite-only model up to degree 200 and a high-resolution global model above 200. The point is to show that in this last combination the indirect effects of the height biases are negligible. To this aim, an error budget analysis is performed. The biases of the high frequency part are proved to be irrelevant, so that an accuracy of 5 cm per individual GNSS station is found. This seems to be a promising practical method to solve the problem.  相似文献   

17.
吴富梅  魏子卿  刘光明 《测绘学报》2018,47(10):1295-1300
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   

18.
Three GOCE-based gravity field solutions have been computed by ESA’s high-level processing facility and were released to the user community. All models are accompanied by variance-covariance information resulting either from the least squares procedure or a Monte-Carlo approach. In order to obtain independent external quality parameters and to assess the current performance of these models, a set of independent tests based on satellite orbit determination and geoid comparisons is applied. Both test methods can be regarded as complementary because they either investigate the performance in the long wavelength spectral domain (orbit determination) or in the spatial domain (geoid comparisons). The test procedure was applied to the three GOCE gravity field solutions and to a number of selected pre-launch models for comparison. Orbit determination results suggest, that a pure GOCE gravity field model does not outperform the multi-year GRACE gravity field solutions. This was expected as GOCE is designed to improve the determination of the medium to high frequencies of the Earth gravity field (in the range of degree and order 50 to 200). Nevertheless, in case of an optimal combination of GOCE and GRACE data, orbit determination results should not deteriorate. So this validation procedure can also be used for testing the optimality of the approach adopted for producing combined GOCE and GRACE models. Results from geoid comparisons indicate that with the 2 months of GOCE data a significant improvement in the determination of the spherical harmonic spectrum of the global gravity field between degree 50 and 200 can be reached. Even though the ultimate mission goal has not yet been reached, especially due to the limited time span of used GOCE data (only 2 months), it was found that existing satellite-only gravity field models, which are based on 7 years of GRACE data, can already be enhanced in terms of spatial resolution. It is expected that with the accumulation of more GOCE data the gravity field model resolution and quality can be further enhanced, and the GOCE mission goal of 1–2 cm geoid accuracy with 100 km spatial resolution can be achieved.  相似文献   

19.
区域性高程基准的统一   总被引:2,自引:2,他引:0  
全球或区域性高程基准面的统一始终是大地测量学研究的主要内容之一 ,对于构建“数字区域”和“数字地球”及研究全球或区域性环境变化具有重要的科学意义和现实意义。本文利用全球重力场模型EGM 96和WDM94及GPS水准数据 ,确定了香港主要高程基准面与我国 195 6黄海高程基准面的重力位差。计算结果表明 ,这两个基准面的重力位差为 (8 36 6± 0 76 5 )m2 s-2 ,表明香港主要高程基准面平均低于我国 195 6黄海高程基准面 (0 85 5± 0 0 78)m2 s-2 。本文的计算结果有助于本地区高程基准面的统一  相似文献   

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