Linkage of Normal Heights Obtained from GNSS and Refined XGM2019 GGM to Brazilian Vertical Data Using Different Approaches

Rodrigo Evangelista Delgado, Tiago Lima Rodrigues
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Abstract

This work aimed to analyze the use of different approaches to link normal heights obtained via Global Navigation Satellite System (GNSS)/Global Geopotential Model (GGM) refined by the RTM technique to the Brazilian Vertical Data (Imbituba Brazilian Vertical Datum – IBVD and Santana Brazilian Vertical Datum – SBVD). Specifically, it analyzed approaches based on the weighted mean of discrepancies between height anomalies, the zero- level geopotential value, the Geodetic Boundary Value Problem (GBVP) solution, and the use of parametric modeling of a plane with a scale factor. For the numerical tests, two different study regions have been used, the first with heights referenced to IBVD and the second to SBVD. Using the first three approaches, the local modeling idea has been investigated in both regions. In this context, spatial cluster analysis of the outliers of differences between local and global height anomalies defined the sub-regions. In the fourth approach, the treatment of local modeling was initially considered. In the accuracy analysis of linkages, it has been verified that approaches based on the mean of the discrepancies between height anomalies and using zero- level geopotential value propose practically the same results. On the other hand, there were improvements at the centimeter level with the use of the GBPV solution-based approach compared to the first two, except for two worsening cases. With the approach based on parametric modeling, the accuracy results were mainly worse considering the approaches with local modeling. The most significant differences reached the decimeter level.
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GNSS和改进XGM2019 GGM法向高度与不同方法下巴西垂直数据的关联
本研究旨在分析通过RTM技术改进的全球导航卫星系统(GNSS)/全球地势模型(GGM)获得的正常高度与巴西垂直数据(Imbituba巴西垂直基准面- IBVD和Santana巴西垂直基准面- SBVD)的不同方法的使用情况。具体来说,分析了基于高度异常差的加权平均值、零水平位势值、大地测量边界值问题(GBVP)解的方法,以及使用带比例因子的平面参数化建模的方法。对于数值测试,使用了两个不同的研究区域,第一个区域的高度参考IBVD,第二个区域参考SBVD。利用前三种方法,对这两个区域的局部建模思想进行了研究。在此背景下,对局部和全球高度异常差异的异常值进行空间聚类分析,确定了子区域。在第四种方法中,最初考虑了局部建模的处理。在机构精度分析中,证实了基于高度异常差均值的方法与使用零水平位势值的方法得到的结果几乎相同。另一方面,与前两种方法相比,使用基于GBPV解决方案的方法在厘米水平上有改善,除了两个恶化病例。基于参数化建模的方法与基于局部建模的方法相比精度差。最显著的差异达到分米水平。
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来源期刊
Anuario do Instituto de Geociencias
Anuario do Instituto de Geociencias Social Sciences-Geography, Planning and Development
CiteScore
0.70
自引率
0.00%
发文量
45
审稿时长
28 weeks
期刊介绍: The Anuário do Instituto de Geociências (Anuário IGEO) is an official publication of the Universidade Federal do Rio de Janeiro (UFRJ – CCMN) with the objective to publish original scientific papers of broad interest in the field of Geology, Paleontology, Geography and Meteorology.
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