In the general tropospheric tomography model, the tomographic area is divided into a large number of voxels, which provides convenience for reconstructing tomographic observation equations. However, due to the defect of GNSS acquisition geometry, there are plenty of empty voxels for any tomographic epoch. Moreover, an unreasonable assumption that water vapor density is constant within a voxel was imposed on the tomographic model. In this study, we proposed an improved method based on the dynamic node parameterized algorithm to solve both key problems. The proposed approach first tries to select effective GNSS signals and determines the dynamic scope of the tomographic area using the dynamic algorithm. The parameterization of the tomography model is performed by a cubic spline formula and Gauss weighted function. Additionally, a piecewise linear fitting method based on Newton-Cotes interpolation is introduced to estimate the tomographic observation of slant water vapor (SWV). The experimental results show that the average number of effective signals increased by 32.33 % and the mean RMSE of the tomographic results is decreased by 45 % with the proposed method. Further, compared with the tomographic results of the general method, the improved solutions have a more centralized distribution and a smaller bias., Wenyuan Zhang, Shubi Zhang, Nan Ding and Pengxu Ma., and Obsahuje bibliografii
This article analyses the processes of creating the township on the example of Borne Sulinowo, one of the youngest cities in Poland. The collapse of the communism in the Centre and Eastern Europe caused, that Poland had made efforts for the revitalization of areas occupied by Soviet armies. Borne Sulinowo, a small city located in the north-western Poland, suffered the same fate as desolation of its areas after the departure of the Soviet Army and anew settlement by the civil settlers. Issues brought up in the article are focusing on problems of the adaptation of the settlers to the new cultural environment, on shaping local bonds and on the degree of the identification with the new place of residence.