Preliminary results of processing EUREF network observations using a non-fiducial strategy

Malkin, Zinovy; Voinov, A. V.

doi:10.1016/s1464-1895(01)00104-1

Cited by 9 publications

(8 citation statements)

References 4 publications

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“…Coordinate and velocity variations may occur considering the network adjustment strategy used to detect local geodynamic impacts. Such solutions are ambiguous and dependent on the strategy employed [6]. Based on the collected observations of the Geodynamic Network of the City of Zagreb (GNCZ), the application of various error modeling methods and processing strategies for GNSS measurements has been analyzed, with the possibility of eliminating their systematic or random influences, which will ultimately enable their reliable use for geodynamic and geokinematic analyses.…”

Section: Introductionmentioning

confidence: 99%

Accuracy Analysis of Point Velocities Determined by Different Software Packages and GNSS Measurement Processing Methods

Premužić

Đapo

Bačić

et al. 2020

Teh. glas. (Online)

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The paper analyzes the geodynamic network of the City of Zagreb for periodic campaigns carried out from 2006 to 2009 which were processed by different software packages. The first computations and processing results were obtained by using the scientific software Gamit/Globk and indicate the ongoing tectonic activity of the area. In this paper, all calculations were performed by using the scientific software Bernese. Processing strategies and applied error models in the Gamit and Bernese solution are analyzed. The results of the previous analyses show the need to perform GNSS measurements at intervals of up to one year, which is necessary for understanding the mechanism of the structural frame of the wider Zagreb area. The research and analysis performed in this paper indicate certain uncertainties in determining the velocities from periodic one-year GNSS measurements. When periodic GNSS observations are analyzed at time intervals shorter than 2.5 years, annual signals can cause significant errors in determining point velocities. The accuracy of determining velocities between annual time intervals depends on a number of factors: noise level in GNSS measurements, measurement sessions quantity and applied computation strategies. Previously, the time series analysis of observations was a key procedure in the context of geodynamic and geokinematic research and the FODITS algorithm was used for the analysis. A noise analysis on the daily time series of coordinates was performed for the purpose of understanding all influences on geodynamic points. Moreover, a correlation between the time series of observations was determined in order to estimate the final velocity uncertainty error. The purpose of this paper is to demonstrate the applicability of the methods and procedures used to determine the coordinates and velocities of points that can be reliably used for geodynamic and geokinematic analyses and consequently, timely responses to various geophysical phenomena due to earthquakes or other natural phenomena.

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Section: Introductionmentioning

confidence: 99%

Accuracy Analysis of Point Velocities Determined by Different Software Packages and GNSS Measurement Processing Methods

Premužić

Đapo

Bačić

et al. 2020

Teh. glas. (Online)

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“…In the past decade, time series composed of the higher-rate observations themselves have begun to provide crucial measurements of absolute ground deformation, both static and dynamic, due to earthquakes [15]. However, the noise characteristics of position time series at sampling intervals shorter than one day are poorly known and are likely to be strongly dependent on the subtleties of each GPS processing methodology [16]. The characterization of the noise content of these high-rate GPS measurements is essential for their future use in the study of earthquake deformation [17].…”

Section: Discussionmentioning

confidence: 99%

“…Previous authors [16,18,19] have used the Allan variance statistic to study the noise characteristics of various geodetic time series, such as Earth Orientation Parameters, GPS position time series, and VLBI baseline time series. With the advent of streaming of near-real-time, high-rate GPS time series, we are provided with the opportunity to study not only the frequency characteristics of high-rate geodetic time series, but their evolution with time.…”

Section: Discussionmentioning

confidence: 99%

Real-time Monitoring of Tectonic Displacements in the Pacific Northwest through an Array of GPS Receivers

Popovici

Andonie

Szeliga

et al. 2014

INT J COMPUT COMMUN

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The Pacific Northwest Geodesic Array at Central Washington University collects telemetered streaming data from 450 GPS stations. These real-time data are used to monitor and mitigate natural hazards arising from earthquakes, volcanic eruptions, landslides, and coastal sea-level hazards in the Pacific Northwest. The displacement measurements are performed at millimeter-scale, and require stringent analysis and parameter estimation techniques. Recent improvements in both accuracy of positioning measurements and latency of terrestrial data communication have led to the ability to collect data with higher sampling rates, of up to 1 Hz. For seismic monitoring applications, this means 1350 separate position streams from stations located across 1200 km along the West Coast of North America must be able to be both visually observed and analyzed automatically. We aim to make the real-time information from GPS sensors easily available, including public access via interfaces for all intelligent devices with a connection to the Internet. Our contribution is a dashboard application that monitors the real-time status of the network of GPS sensors. We are able to visualize individual and multiple sensors using similar time series scales. We are also able to visualize groups of sensors based on time-dependent statistical similarity, such as sensors with the the highest variance, in real-time. In addition to raw positioning data, users can also display derived quantities, such as the Allan variance or the second derivative of a data stream.

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“…Some researchers successfully used AVAR (ADEV) to analyze the series of coordinates of stations and related quantities. Malkin and Voinov first used ADEV to estimate random variations of station coordinates of the European GPS network EUREF, obtained by different processing methods, making it possible to compare the quality of these methods [13]. Later this approach was used by C.A.…”

Section: Allan Variance Application Examplesmentioning

confidence: 99%

“…The Allan variance (AVAR) is specialized statistics developed in the 1960s to investigate frequency standards [1]. In recent years, it has also been actively used for the study of various time series in astrometry and geodynamics to investigate the earth's rotation parameters, the stability of the location of radio sources, and station coordinates [3][4][5][6][7][8]12,13,15,17]. However, the application of AVAR in its original form in astrometry and geodynamics is limited by two factors.…”

Section: Introductionmentioning

confidence: 99%

Study of astronomical and geodetic series using the Allan variance

Malkin¹

2011

Kinemat. Phys. Celest. Bodies

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Recently, the Allan variance (AVAR), suggested more than 40 years ago to describe the instability of frequency standards, has been used extensively to study various time series in astrometry, geodesy, and geodynamics. This method makes it possible to effectively study the characteristics of the noise component of data, such as the change of location of stations, coordinates of radio sources, etc. Moreover, AVAR may be used to study the spectral and fractal structure of this noise component. To handle unequal and multivariate observations, which are characteristic of many astronomical and geodetic applications, the author suggests appropriate AVAR modifications. A brief overview of classical and modified AVAR in astrometry and geodynamics is given.

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Preliminary results of processing EUREF network observations using a non-fiducial strategy

Cited by 9 publications

References 4 publications

Accuracy Analysis of Point Velocities Determined by Different Software Packages and GNSS Measurement Processing Methods

Accuracy Analysis of Point Velocities Determined by Different Software Packages and GNSS Measurement Processing Methods

Real-time Monitoring of Tectonic Displacements in the Pacific Northwest through an Array of GPS Receivers

Study of astronomical and geodetic series using the Allan variance

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