Résumé : |
(auteur) In this thesis, the geodetic boundary value problem (GBVP) for a completely hypothetical earth is developed. As already shown in (Gerontopoulos, 1978) the complete GBVP for a 2D earth can be set up. It can serve as an example for the real 3D one, with the advantage of less complex mathematics and better performable numerical simulations.
In chapter one, the points of departure of this thesis are discussed. It is underlined that we do not seek for a strict mathematical solution of the GBVP, as done by Gerontopoulos, but investigate aspects of the 2D GBVP that have correspondence with the 3D case. This introductory chapter is concluded by an overview of the history of the problem of the determination of the figure of the earth.
Chapter two serves as preparation for the formulation and solution of the GBVP. Some points of the potential theory in the plane are treated and special attention is paid to the series solution of the potential for a circular boundary, which is an ordinary Fourier series. Finally expressions are derived for the integral kernels appearing in the solution of the GBVP.
In chapter three, the linear observation equations are derived for the classical observations potential, gravity and astronomical latitude, and for the components of the gravity gradient tensor. From several combinations of these observables, the potential, and the position are solved with the observation equations in circular, and constant radius approximation. For their solution, closed integral expressions are given. The systems of equations can be either uniquely determined or overdetermined. This yields solutions for the disturbing potential which are almost identical to the 3D problem. It is also possible to solve, in this approximation, the GBVP analytically from discrete measurements. The analytical expression derived for the inverse normal matrix can be used for error propagation. It is shown that the integral of astronomical leveling can be derived from the solution of the GBVP with observations of astronomical latitude. Furthermore, attention is paid to the zeroth and first degree coefficients, and to the application of the theory of reliability to the GBVP.
In chapter four, first the effect of the neglect of the topography and the ellipticity is analysed. It follows an iteration method can be applied in order to obtain solutions of the GBVP without, or with only little, approximation. Then, five levels of approximation are defined: three linear approximations (with or without the topography and/or the ellipticity taken into account), a quadratic model and the exact, non-linear equations. In the iteration the analytical solutions of the GBVP'S in circular, constant radius approximation are used for the solution step. For the backward substitution the model is applied for which the solution is sought for. The problems are solved numerically by iteration in chapter five. The iterative solution of the problem in circular approximation, occasionally referred to as the simple problem of Molodensky, is also given as a series of integrals. For the convergence of
the iteration criteria are derived.
In chapter five, the generation of a synthetical world is presented. The features of the real world, with respect to the topography and the gravity field, are used to determine its appearance. The observations are computed, from which the potential and the position are solved by the iteration, for all five levels of approximation defined. The fixed, scalar and vectorial problem are considered. It turns out that, in case band limited observations without noise are used, the ellipticity of the earth,
not taken into account in the solution step of the iteration, is the main obstacle for convergence. This can be overcome by the use of a potential series with elliptical coordinates, instead of the polar coordinates usually applied. The theoretical condition for convergence of the iteration is tested, and for several circumstances the accuracy of the solution of the potential and position unknowns is computed. We mention: uniquely determined and overdetermined problems, band limited observations, block averages and point values, number of points etc. Finally, the error spectra of the solved coefficients are compared to the error estimates obtained by error propagation with the analytical expression for the inverse normal matrix of the GBVP in circular, constant radius approximation, and a simple noise model for the observations. If the data noise is the dominant error source, this error estimation turns out to work very well. |