基于积分的大地测量边界值问题解决方案的不确定性

IF 3.9 2区 地球科学 Q1 GEOCHEMISTRY & GEOPHYSICS Journal of Geodesy Pub Date : 2024-06-06 DOI:10.1007/s00190-024-01858-x
Pavel Novák, Mehdi Eshagh, Martin Pitoňák
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引用次数: 0

摘要

物理大地测量学应用势理论来研究地球引力场在地球质量之外和地球质量之内几千米空间的情况。在这一理论提供的各种工具中,边界值问题在空间引力场参数的变换或延续方面特别受欢迎。传统问题早在十九世纪就已提出并得到解决,随着新的观测方法和数据的出现,新问题也逐渐得到补充。在大多数情况下,重点是制定涉及三维空间中两个函数的函数关系;一个函数的值可以搜索到,但无法观测;另一个函数的值可以观测到,但有误差。这种数学模型(观测方程)被称为确定性模型。由于求解时使用的是带有观测误差的观测数据,因此必须建立相关的随机模型,以提供估计参数的不确定性,并据此评估模型的质量。本文讨论了为物理大地测量目前或可预见的将来所使用的重力数据制定的势理论边界值问题。文章回顾了以积分公式和积分方程形式表示的解法,提出了适用于确定性模型数值解法的实用估算器,并介绍了与之相关的随机模型。确定性和随机模型代表了物理大地测量问题的完整解决方案,提供了未知参数及其误差方差(均方误差)的估算。另一方面,对误差协方差的分析可以揭示与观测数据和/或数学模型设计有关的问题。数值实验证明了随机模型在实践中的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Uncertainties associated with integral-based solutions to geodetic boundary-value problems

Physical geodesy applies potential theory to study the Earth’s gravitational field in space outside and up to a few km inside the Earth’s mass. Among various tools offered by this theory, boundary-value problems are particularly popular for the transformation or continuation of gravitational field parameters across space. Traditional problems, formulated and solved as early as in the nineteenth century, have been gradually supplemented with new problems, as new observational methods and data are available. In most cases, the emphasis is on formulating a functional relationship involving two functions in 3-D space; the values of one function are searched but unobservable; the values of the other function are observable but with errors. Such mathematical models (observation equations) are referred to as deterministic. Since observed data burdened with observational errors are used for their solutions, the relevant stochastic models must be formulated to provide uncertainties of the estimated parameters against which their quality can be evaluated. This article discusses the boundary-value problems of potential theory formulated for gravitational data currently or in the foreseeable future used by physical geodesy. Their solutions in the form of integral formulas and integral equations are reviewed, practical estimators applicable to numerical solutions of the deterministic models are formulated, and their related stochastic models are introduced. Deterministic and stochastic models represent a complete solution to problems in physical geodesy providing estimates of unknown parameters and their error variances (mean squared errors). On the other hand, analyses of error covariances can reveal problems related to the observed data and/or the design of the mathematical models. Numerical experiments demonstrate the applicability of stochastic models in practice.

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来源期刊
Journal of Geodesy
Journal of Geodesy 地学-地球化学与地球物理
CiteScore
8.60
自引率
9.10%
发文量
85
审稿时长
9 months
期刊介绍: The Journal of Geodesy is an international journal concerned with the study of scientific problems of geodesy and related interdisciplinary sciences. Peer-reviewed papers are published on theoretical or modeling studies, and on results of experiments and interpretations. Besides original research papers, the journal includes commissioned review papers on topical subjects and special issues arising from chosen scientific symposia or workshops. The journal covers the whole range of geodetic science and reports on theoretical and applied studies in research areas such as: -Positioning -Reference frame -Geodetic networks -Modeling and quality control -Space geodesy -Remote sensing -Gravity fields -Geodynamics
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