New 3D velocity model of Estonia from GNSS measurements

The aim of this study was to create a 3D crustal deformation model for Estonia, based on dense Global Navigation Satellite System (GNSS) data (geodetic points with velocities) and validate the existing models of horizontal and vertical crustal deformations with velocities from Estonian GNSS measurem...

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Main Authors: Tarmo Kall, Tõnis Oja, Kätlin Kruusla, Aive Liibusk
Format: Article
Language:English
Published: Estonian Academy Publishers 2021-03-01
Series:Estonian Journal of Earth Sciences
Subjects:
Online Access:https://kirj.ee/wp-content/plugins/kirj/pub/earth-2-2021-107-125_20210325094658.pdf
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author Tarmo Kall
Tõnis Oja
Kätlin Kruusla
Aive Liibusk
author_facet Tarmo Kall
Tõnis Oja
Kätlin Kruusla
Aive Liibusk
author_sort Tarmo Kall
collection DOAJ
description The aim of this study was to create a 3D crustal deformation model for Estonia, based on dense Global Navigation Satellite System (GNSS) data (geodetic points with velocities) and validate the existing models of horizontal and vertical crustal deformations with velocities from Estonian GNSS measurements. The observations performed for at least eight years at Estonian GNSS permanent stations and during the GNSS campaign measurements of 1997, 2008 and 2017 on the Estonian 1st-order geodetic reference network were used as input data. Coordinates of the geodetic points were calculated in the ITRF2008 reference frame using the Precise Point Positioning method. Horizontal and vertical velocities (in the North, East and Up directions) were calculated for a total of 22 GNSS points. Models for horizontal and vertical velocities were calculated using the removeâcomputeârestore method. The model of glacial isostatic adjustment (GIA) of the Nordic Geodetic Commission NKG2016GIA was used as a reference model. Residual velocities of GNSS points showed a good fit with respect to the reference model. The residual velocities were analysed by geostatistical methods and the prediction surfaces of the residual velocities were modelled. After adding the surface of the residual velocities back to the reference model NKG2016GIA, the modelled surface EST2020VEL was obtained. The obtained model was compared with the up-to-date intraplate deformation model NKG_RF17VEL. It was found that recent Fennoscandian intraplate deformation models NKG2016LU and NKG_RF17VEL fitted well with the Estonian GNSS data. However, both models are systematically shifted with respect to the Estonian GNSS data. For applications in Estonia, it is better to use the fitted model EST2020VEL. The uncertainty of the model is estimated to be lower than ±0.5 mm/a.
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spelling doaj.art-38267788f4734d76925ec6e9ae078c932022-12-22T02:15:33ZengEstonian Academy PublishersEstonian Journal of Earth Sciences1736-47281736-75572021-03-0170210712510.3176/earth.2021.0810.3176/earth.2021.08New 3D velocity model of Estonia from GNSS measurementsTarmo Kall0Tõnis Oja1Kätlin Kruusla2Aive Liibusk3Chair of Geomatics, Estonian University of Life Sciences, Fr. R. Kreutzwaldi 5, 51006 Tartu, Estonia; tarmo.kall@emu.ee Department of Geodesy, Estonian Land Board, Mustamäe tee 51, 10621 Tallinn, Estonia; tonis.oja@maamet.eeChair of Geomatics, Estonian University of Life Sciences, Fr. R. Kreutzwaldi 5, 51006 Tartu, Estonia; tarmo.kall@emu.ee Estonian University of Life Sciences, F. R. Kreutzwaldi 1, 51014 Tartu, EstoniaThe aim of this study was to create a 3D crustal deformation model for Estonia, based on dense Global Navigation Satellite System (GNSS) data (geodetic points with velocities) and validate the existing models of horizontal and vertical crustal deformations with velocities from Estonian GNSS measurements. The observations performed for at least eight years at Estonian GNSS permanent stations and during the GNSS campaign measurements of 1997, 2008 and 2017 on the Estonian 1st-order geodetic reference network were used as input data. Coordinates of the geodetic points were calculated in the ITRF2008 reference frame using the Precise Point Positioning method. Horizontal and vertical velocities (in the North, East and Up directions) were calculated for a total of 22 GNSS points. Models for horizontal and vertical velocities were calculated using the removeâcomputeârestore method. The model of glacial isostatic adjustment (GIA) of the Nordic Geodetic Commission NKG2016GIA was used as a reference model. Residual velocities of GNSS points showed a good fit with respect to the reference model. The residual velocities were analysed by geostatistical methods and the prediction surfaces of the residual velocities were modelled. After adding the surface of the residual velocities back to the reference model NKG2016GIA, the modelled surface EST2020VEL was obtained. The obtained model was compared with the up-to-date intraplate deformation model NKG_RF17VEL. It was found that recent Fennoscandian intraplate deformation models NKG2016LU and NKG_RF17VEL fitted well with the Estonian GNSS data. However, both models are systematically shifted with respect to the Estonian GNSS data. For applications in Estonia, it is better to use the fitted model EST2020VEL. The uncertainty of the model is estimated to be lower than ±0.5 mm/a.https://kirj.ee/wp-content/plugins/kirj/pub/earth-2-2021-107-125_20210325094658.pdfgnssvelocitiespostglacial reboundintraplate deformations.
spellingShingle Tarmo Kall
Tõnis Oja
Kätlin Kruusla
Aive Liibusk
New 3D velocity model of Estonia from GNSS measurements
Estonian Journal of Earth Sciences
gnss
velocities
postglacial rebound
intraplate deformations.
title New 3D velocity model of Estonia from GNSS measurements
title_full New 3D velocity model of Estonia from GNSS measurements
title_fullStr New 3D velocity model of Estonia from GNSS measurements
title_full_unstemmed New 3D velocity model of Estonia from GNSS measurements
title_short New 3D velocity model of Estonia from GNSS measurements
title_sort new 3d velocity model of estonia from gnss measurements
topic gnss
velocities
postglacial rebound
intraplate deformations.
url https://kirj.ee/wp-content/plugins/kirj/pub/earth-2-2021-107-125_20210325094658.pdf
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