Very high-rate GPS for measuring dynamic seismic displacements without aliasing: performance evaluation of the variometric approach

Shu, Yuanming; Fang, Rongxin; Li, Min; Shi, Chuang; Meng, Lu; Liu, Jingnan

doi:10.1007/s10291-018-0785-z

Cited by 34 publications

(17 citation statements)

References 35 publications

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“…All displacements derived from different schemes were compared with the references to validate the accuracy. In order to evaluate the performance of real-time coseismic displacement retrieval, no linear or nonlinear detrending procession such as Shu et al and Hung et al [30,34] was applied to the displacements derived from VADASE method. The displacement time series at a typical station MIZU is shown in Figure 5.…”

Section: Stationary Experiments With Global Igs Stationsmentioning

confidence: 99%

“…Coseismic displacements are obtained by a single integration of the changes of positions. Compared with PPP technique, there is no convergence time needed in the VADASE method but the derived displacements are accompanied by a drift due to potential uncompensated errors [ 30 , 31 ]. Branzanti et al assumed that the drift could be effective eliminated within a few minutes by using a linear trend removal [ 32 ].…”

Section: Introductionmentioning

confidence: 99%

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Real-Time Coseismic Displacement Retrieval Based on Temporal Point Positioning with IGS RTS Correction Products

Zhang

Nie

Wang

et al. 2021

Sensors

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With the rapid development of the global navigation satellite system (GNSS), high-rate GNSS has been widely used for high-precision GNSS coseismic displacement retrieval. In recent decades, relative positioning (RP) and precise point positioning (PPP) are mainly adopted to retrieve coseismic displacements. However, RP can only obtain relative coseismic displacements with respect to a reference station, which might be subject to quaking during a large seismic event. While PPP needs a long (re)convergence period of tens of minutes. There is no convergence time needed in the variometric approach for displacements analysis standalone engine (VADASE) but the derived displacements are accompanied by a drift. Temporal point positioning (TPP) method adopts temporal-differenced ionosphere-free phase measurements between a reference epoch and the current epoch, and there is almost no drift in the displacement derived from TPP method. Nevertheless, the precise orbit and clock products should be applied in the TPP method. The studies in recent years are almost based on the postprocessing precise orbits and clocks or simulated real-time products. Since 2013, international GNSS service (IGS) has been providing an open-access real-time service (RTS), which consists of orbit, clock and other corrections. In this contribution, we evaluated the performance of real-time coseismic displacement retrieval based on TPP method with IGS RTS correction products. At first, the real-time precise orbit and clock offsets are derived from the RTS correction products. Then, the temporal-differenced ionosphere-free (IF) combinations are formed and adopted as the TPP measurements. By applying real-time precise orbit and clock offsets, the coseismic displacement can be real-timely retrieved based on TPP measurements. To evaluate the accuracy, two experiments including a stationary experiment and an application to an earthquake event were carried out. The former gives an accuracy of 1.8 cm in the horizontal direction and 4.1 cm in the vertical direction during the whole period of 15-min. The latter gives an accuracy of 1.2 cm and 2.4 cm in the horizontal and vertical components, respectively.

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Section: Stationary Experiments With Global Igs Stationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Real-Time Coseismic Displacement Retrieval Based on Temporal Point Positioning with IGS RTS Correction Products

Zhang

Nie

Wang

et al. 2021

Sensors

View full text Add to dashboard Cite

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“…This method can be implemented by carrier phase observation and broadcast ephemeris. Compared to traditional methods, reference station and precise ephemeris are not required in this method for monitoring real-time relative changes [67][68][69][70][71][72][73]. The core formula is as follows:…”

Section: Variometric Approach For Displacements Analysis Stand-alone mentioning

confidence: 99%

“…The results demonstrate that the waveforms of dynamic displacements can be reliably recorded, an overall accuracy about 5 mm can be achieved, and oscillations of frequency at least up to 4 Hz can be identified. In addition, many studies were conducted for seismology based on real high-rate GNSS data of earthquakes [65,72,90], which is of great sense for earthquake early warning. In Shi et al [65], station displacements during the 12 May 2008 Mw 8.0 Wenchuan earthquake were derived from the 1 Hz GPS data collected during the earthquake.…”

Section: Applicationmentioning

confidence: 99%

“…Enter prior estimate and its error covariance This technology has been widely applied to multi-sensor integration for dynamic monitoring [89][90][91][133][134][135]. According to the Nyquist theorem, the sensor's sampling rate must be at least two times of the vibration frequency of structures to detect the frequency of the vibration [72,136,137]. In Kogan et al [91], the Kalman filter was applied to estimate the velocity and displacement of the load response on a large suspension bridge during the NYC marathon.…”

Section: Compute Kalman Gain：mentioning

confidence: 99%

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A Review of Global Navigation Satellite System (GNSS)-based Dynamic Monitoring Technologies for Structural Health Monitoring

et al. 2019

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In the past few decades, global navigation satellite system (GNSS) technology has been widely used in structural health monitoring (SHM), and the monitoring mode has evolved from long-term deformation monitoring to dynamic monitoring. This paper gives an overview of GNSS-based dynamic monitoring technologies for SHM. The review is classified into three parts, which include GNSS-based dynamic monitoring technologies for SHM, the improvement of GNSS-based dynamic monitoring technologies for SHM, as well as denoising and detrending algorithms. The significance and progress of Real-Time Kinematic (RTK), Precise Point Position (PPP), and direct displacement measurement techniques, as well as single-frequency technology for dynamic monitoring, are summarized, and the comparison of these technologies is given. The improvement of GNSS-based dynamic monitoring technologies for SHM is given from the perspective of multi-GNSS, a high-rate GNSS receiver, and the integration between the GNSS and accelerometer. In addition, the denoising and detrending algorithms for GNSS-based observations for SHM and corresponding applications are summarized. Challenges of low-cost and widely covered GNSS-based technologies for SHM are discussed, and problems are posed for future research.

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Scaling earthquake magnitude in real time with high-rate GNSS peak ground displacement from variometric approach

Zang

2020

GPS Solut

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Very high-rate GPS for measuring dynamic seismic displacements without aliasing: performance evaluation of the variometric approach

Cited by 34 publications

References 35 publications

Real-Time Coseismic Displacement Retrieval Based on Temporal Point Positioning with IGS RTS Correction Products

Real-Time Coseismic Displacement Retrieval Based on Temporal Point Positioning with IGS RTS Correction Products

A Review of Global Navigation Satellite System (GNSS)-based Dynamic Monitoring Technologies for Structural Health Monitoring

Scaling earthquake magnitude in real time with high-rate GNSS peak ground displacement from variometric approach

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