Investigation of Changes of the Kinematic Parameters of Antarctic Tectonic Plate Using Data Observations of Permanent GNSS Stations

Tretyak, K.; Forat, Al-Alusi; Holubinka, Yurii

doi:10.1515/rgg-2017-0010

Cited by 1 publication

(14 citation statements)

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“…The initial data are supplemented by time series of GNSS-stations, and the method of determining the rotational parameters is significantly improved. [Tretyak et al, 2017].…”

Section: Fig 1 Dependence Of the Number Of Earthquakes N And Their mentioning

confidence: 99%

“…There were 71 stations in 2014. Daily solutions for each station were calculated by Nevada Geodetic Laboratory [NGL, 2016] using software GIPSY-OASIS-II with Precise Point Positioning, and the daily coordinates of the stations are available on the NGL website in the IGS08 reference system [Tretyak et al, 2017].…”

Section: Input Data For Calculation Of Rotational Parameters Of Antarmentioning

confidence: 99%

“…In addition, the collected observations are not homogeneous in time. Table 1 shows the availability of daily solutions for each station over the years of observations [Tretyak et al, 2017].…”

Section: Input Data For Calculation Of Rotational Parameters Of Antarmentioning

confidence: 99%

“…3. The location of permanent GNSS-stations selected for researches [Tretyak et al, 2017] a b c Analysis of Table 1 allows us to single out five GNSS-stations: CAS1, DUM1, MAW1, PALM, SYOG, VESL, which have the longest series of observations for a period of about 20 years. Starting from 2010, the time series of practically all stations are almost homogeneous and continuous [Tretyak et al, 2017].…”

Section: Fig 2 Time Series Of Daily Solutionsmentioning

confidence: 99%

“…4. Time series with gaps and their irregular distribution of permanent GNSS-station SYOG [Tretyak et al, 2017] A weight due to data irregularity is computed as…”

Section: Determination Of Velocities and Weights Of Vectors Of Permanmentioning

confidence: 99%

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Geodynamics

Tretyak¹,

Al-Alusi²,

Babiy³

2018

ГЕОДИНАМІКА

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The purpose of this work is elaboration of the results of long-term GNSS-observations at permanent stations located on the Antarctic tectonic plate; the determination of the change in its rotational parameters and angular momentum, the calculation of the angular momentum of the Earth, the oceanic and atmospheric masses, and the establishment of the interrelationship between these parameters. Methods. The work represents an improved algorithm for determining the parameters of the Euler pole and the angular velocity of the tectonic plate, taking into account the continuity and unevenness of time series of daily solutions of the spatial location of permanent GNSS-stations. Results. According to the results of daily solutions of 28 permanent GNSS-stations in Antarctica for the period (1996-2014), the average position of Euler pole, the angular velocity of the plate, and their annual changes are determined. The annual parameters of the tensor of inertia and angular momentum of the Antarctic tectonic plate are determined. Using the data of the Earth's rotation service and geophysical observations, the annual changes in the angular momentum of the Earth, the tensors of moment of inertia, and angular momentum of oceanic and atmospheric masses for the period (1996-2014) have been calculated. Scientific novelty. It is established that during the whole observation period the increase of the angular momentum of the Antarctic tectonic plate corresponds to the decrease of the angular momentum of the Earth and the atmosphere. This indicates the conservation of angular momentum. The increases of the angular momentum of Antarctic tectonic plate corresponds to the increases of the angular momentum of the ocean. Explanation of this interrelationship requires additional research.

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“…The initial data are supplemented by time series of GNSS-stations, and the method of determining the rotational parameters is significantly improved. [Tretyak et al, 2017].…”

Section: Fig 1 Dependence Of the Number Of Earthquakes N And Their mentioning

confidence: 99%

Section: Input Data For Calculation Of Rotational Parameters Of Antarmentioning

confidence: 99%

Section: Input Data For Calculation Of Rotational Parameters Of Antarmentioning

confidence: 99%

Section: Fig 2 Time Series Of Daily Solutionsmentioning

confidence: 99%

“…4. Time series with gaps and their irregular distribution of permanent GNSS-station SYOG [Tretyak et al, 2017] A weight due to data irregularity is computed as…”

Section: Determination Of Velocities and Weights Of Vectors Of Permanmentioning

confidence: 99%

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