Earth's Surface Displacements from the GPS Time Series

Haritonova, Diāna; Balodis, Jānis; Janpaule, Inese; Morozova, Katerīna

doi:10.1088/1757-899x/96/1/012039

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…Modern data obtained in 2015 showed that the velocities of the vertical movements of the permanent GNSS stations of LatPos network (Fig. 1) are + 0.52 mm/year for Lielvarde (LVRD) and + 0.30 mm/year for Lode (LODE) (Haritonova et al, 2015). The LODE station is located in the center of the Vidzeme Upland, and LVRD is located about 30 km to the south-west of the edge of the Vidzeme Upland.…”

Section: Discussionmentioning

confidence: 99%

Geodynamic Hazard Factors of Latvia: Experimental Data and Computational Analysis

Ņikuļins¹

2019

BJMC

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Geodynamic hazards of Latvia were identified by experimental and computational methods, including tectonophysical modeling in the MathLab environment. Among these factors are seismic shocks in Riga on November 22, 2010, abnormally high velocity of displacement of opposite sides of the Cirulisi fault, an increased anomaly of radon concentration on the profile crossing Olaine-Incukalns fault, deformations of buildings in the tectonic zone, formed by Olaine-Incukalns and Bergi faults. An analysis of the isostatic equilibrium of the Earth's crust at the Moho discontinuity level allowed to estimate Earth's crust development's and tendency type. On the basis of the analysis of experimental data and the results of tectonophysical modeling, a depression site was discovered in the area at the Plavinas dam. The conclusion is made about the expediency of geodynamic monitoring in areas of large agglomerations (Riga) and especially responsible objects (Plavinas dam, Incukalns underground gas storage).

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Section: Discussionmentioning

confidence: 99%

Geodynamic Hazard Factors of Latvia: Experimental Data and Computational Analysis

Ņikuļins¹

2019

BJMC

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“…Hence, indirect methods are applied (Borowski and Banasik, 2011). Although the ellipsoidal heights of stations change over time (Haritonova et al, 2015;Maciuk and Szombara, 2018), the undulation values are considered relatively constant (Banasik, 1999;Czarnecki, 2010)…”

Section: Examination Of the Geoidmentioning

confidence: 99%

The Best Robust Estimation Method to Determine Local Surface

Borowski¹,

Banas²

2019

BJMC

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Geoid/quasi-geoid modelling in a local (small) area is often made with polynomials. The optimal version of a polynomial is found by testing its successive versions using different statistical parameters, i.e. with different degree and number of coefficients. In this publication, the authors presented 3 approaches to search for an optimal version of the polynomial. Two of them were based on one of the robust estimation methods, i.e. the Danish method. Therefore, the question arises whether this method is suitable for this type of work. The publication analyses 6 different methods of robust estimation and the method of least squares. The control parameters of the methods were selected in such a way as to obtain a comparable accuracy of fitting the polynomial into the points each time. Then, the actual accuracy obtained for each of them was compared. The result of the study is a ranking of methods in terms of the most accurate fitting results.

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Some Preliminary Results of an Analysis of Coordinates Time Series of RTK Network LitPos

Paršeliūnas¹,

Galinauskas²,

Baniulis³

et al. 2017

Proccedings of 10th International Conference "Environmental Engineering"

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LitPOS (Lithuanian Positioning System), the network of permanent reference GNSS stations, became operational in July 2007. It provides data both for real-time and post-processing applications. Coordinate time series were obtained from LitPOS reprocessing data for years 2008–2014. The reprocessing was done using Bernese 5.2 software. The analysis of time series was done with Matlab routine “GITSA” (GPS Interactive Time Series Analysis). In this paper the review of obtained coordinate time series will be given, in addition error tracking and some of the results will be assessed. An analysis of discontinuities and outliers with possible problem solutions will be provided. As a result more consistent accumulated multi-year solution is presented.

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Earth's Surface Displacements from the GPS Time Series

Cited by 3 publications

References 4 publications

Geodynamic Hazard Factors of Latvia: Experimental Data and Computational Analysis

Geodynamic Hazard Factors of Latvia: Experimental Data and Computational Analysis

The Best Robust Estimation Method to Determine Local Surface

Some Preliminary Results of an Analysis of Coordinates Time Series of RTK Network LitPos

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