First results using high-rate BDS-3 observations: retrospective real-time analysis of 2021 Mw 7.4 Madoi (Tibet) earthquake

Zheng, Kai; Liu, Kezhong; Zhang, Xiaohong; Wen, Guoyuan; Chen, Mozi; Zeng, Xuming; Zhao, Lijiang; He, Xiaodi

doi:10.1007/s00190-022-01639-4

Cited by 9 publications

(3 citation statements)

References 43 publications

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“…Moreover, PPP-AR holds the potential to enhance positioning accuracy even after convergence. By efficiently resolving integer ambiguities in carrier-phase measurements, PPP-AR can achieve highprecision results more rapidly, which is particularly vital in time-critical applications such as agricultural navigation, airborne mapping, and rapid response initiatives during natural disasters [4,5].…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Real-Time and Rapid Precise Point Positioning Performance Using Geodetic and Low-Cost GNSS Receivers

Chen,

Zhao,

Zhai

et al. 2024

Remote Sensing

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Precise Point Positioning (PPP), coupled with the ambiguity resolution (AR) method, has demonstrated substantial potential in fields like agricultural navigation and airborne mapping. However, there remains a notable deficiency in the comprehensive comparative evaluation of its performance when using rapid and real-time satellite products, especially for mass low-cost receivers. Stations equipped with geodetic and low-cost receivers are analyzed in kinematic and static mode. In the kinematic mode, the GPS+Galileo-combined PPP, employing ambiguity fixing with “WHU” rapid products, achieves the highest positioning accuracy of 0.9 cm, 0.9 cm, and 2.6 cm in the North, East, and Up components, respectively. Real-time PPP using “CNT” products attains accuracies of 2.1 cm, 2.7 cm, and 4.8 cm for these components, utilizing GPS ambiguity-fixed PPP. BDS positioning accuracy is inferior to standalone GPS, but improves when the number of visible BDS satellites exceeds 10. Convergence time analysis shows that approximately 38.2 min are required for single GPS or BDS PPP using the “WHU” products and geodetic receivers, which can be reduced to 18.5 min for dual-system combinations and further to 14.8 min for triple-system combinations. The time can be further reduced by ambiguity fixing. In the static mode, multi-GNSS combination does not significantly impact convergence times, which are more influenced by the precision of the products used. Real-time products require approximately 22 min to achieve horizontal accuracy below 0.1 m, while rapid products reach this accuracy within 10 min. For PPP using low-cost GNSS receivers, more than two hours are necessary to achieve an accuracy better than 0.1 m for kinematic PPP, which is considerably longer than the convergence time observed at MGEX stations. However, the accuracy achieved after convergence, as well as the performance of static PPP, is comparable to that of MGEX stations.

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Section: Introductionmentioning

confidence: 99%

Assessment of the Real-Time and Rapid Precise Point Positioning Performance Using Geodetic and Low-Cost GNSS Receivers

Chen,

Zhao,

Zhai

et al. 2024

Remote Sensing

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“…The Global Navigation Satellite System (GNSS) is a powerful tool that may reliably characterize dynamic displacements in Structural Health Monitoring (SHM) and seismology (Avallone et al 2011). Over recent years, we have witnessed efforts focused on the development of dedicated processing algorithms, e.g., those based on a time-differencing concept (Colosimo et al 2011;Paziewski et al 2018;Zheng et al 2022) and adaptation of the existing positioning methods, such as Real Time Kinematics (RTK) or Precise Point Positioning (PPP) (Li et al 2019;Paziewski et al 2020) aiming at retrieving dynamic displacements. As a result, with high-rate GNSS, it is now achievable to reach displacement accuracy of millimeterlevel over a short period (Psimoulis et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Dynamic displacement monitoring by integrating high-rate GNSS and accelerometer: on the possibility of downsampling GNSS data at reference stations

et al. 2023

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We combine accelerometer and asynchronous high-rate GNSS data to retrieve dynamic displacements. The method adopts relative GNSS positioning with observations of different sampling rates at rover and reference stations. The objective is to examine the feasibility of downsampling GNSS data at reference stations and thus, verify whether permanent GNSS networks collecting low-rate observations can serve as reference sites. The performance is assessed using a shake table to induce displacement waveforms. We show that the combined GNSS and accelerometer solution improves displacement accuracy by half compared to the GNSS-only one. Further accuracy improvement is obtained by applying the Rauch Tung Striebel (RTS) smoother. Consequently, it is reasonable to downsample high-rate GNSS data at the reference station even to a 2 s interval and preserve the displacement error below 1 mm. The results also reveal that a fusion of GNSS with accelerometer and RTS smoothing helps to mitigate the ephemeris error. With the assessment in the time–frequency domain, we show that the combined solution better recovers displacement waveforms than GNSS-only. For the former solution, the detected peak frequencies agree very well with those of the Linear Variable Differential Transformer responsible for providing the ground truth displacements, and the amplitude error does not exceed 0.5 mm. We conclude that the proposed approach based on asynchronous GNSS observations provides millimeter-level precision results and is better for reconciling dynamic displacements than a GNSS-only solution or simply integrating accelerometer data.

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“…In comparison, the high-rate GNSS with the sampling rate ≥ 1 Hz can directly measure near-field ground displacement in real time and is a good complement to the traditional seismic instruments for the earthquake early warning and rapid response. There have been many studies demonstrating the excellent performance of high-rate GNSS on capturing earthquake waveforms [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. Based on high-rate GNSS displacements, Crowell et al [22] built the empirical relationship between magnitude and peak ground displacement (PGD) and retrieved the unsaturated magnitude.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Source Modeling of the 2022 Mw 6.6 Menyuan, China Earthquake with High-Rate GNSS Observations

Zang

Fan

et al. 2022

Remote Sensing

Self Cite

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On 7 January 2022, a Mw 6.6 earthquake struck Menyuan County in the Qinghai province of China and the earthquake caused severe damage to infrastructures. In this study, the performance of the high-rate global navigation satellite system (GNSS) on real-time source modeling of the 2022 Mw 6.6 Menyuan earthquake was validated. We conducted the warning magnitude calculation, centroid moment tensor (CMT) inversion, and static fault slip distribution inversion using displacements collected from 14 1-Hz GNSS stations. Our results indicate that the warning magnitude derived from the peak ground displacement (PGD) first exceeds Mw 6.0 approximately 9 s after the earthquake and tends to be stable after about 45 s. The derived finally stable magnitude is Mw 6.5, which is near the USGS magnitude of Mw 6.6. Based on the inverted CMT and static fault slip distribution results, it can be determined that the 2022 Menyuan earthquake is a left-lateral strike-slip event after about 20 s of the earthquake. Although the fault slips, inverted with the 30-s smoothed coseismic offsets, are unstable after about 40 s, all the inverted slip models after that time present the obvious surface rupture and the most fault motions are concentrated between the depth of 0 km and 8 km. Compared with the results inverted with the 30-s smoothed coseismic offsets, the CMT and fault slips inverted with the 70-s smoothed coseismic offsets are more stable. The results obtained in this study indicate that the high-rate GNSS has the potential to be used for real-time source modeling for earthquakes with a magnitude less than 7; the stability of the inverted CMT and fault slips can be improved by using the coseismic offsets averaged by a relatively long-time sliding window.

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First results using high-rate BDS-3 observations: retrospective real-time analysis of 2021 Mw 7.4 Madoi (Tibet) earthquake

Cited by 9 publications

References 43 publications

Assessment of the Real-Time and Rapid Precise Point Positioning Performance Using Geodetic and Low-Cost GNSS Receivers

Assessment of the Real-Time and Rapid Precise Point Positioning Performance Using Geodetic and Low-Cost GNSS Receivers

Dynamic displacement monitoring by integrating high-rate GNSS and accelerometer: on the possibility of downsampling GNSS data at reference stations

Real-Time Source Modeling of the 2022 Mw 6.6 Menyuan, China Earthquake with High-Rate GNSS Observations

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