Millimeter-Accuracy Structural Deformation Monitoring Using Stand-Alone GPS: Case Study in Beijing, China

Bao, Yan; Guo, Wen; Wang, Guoquan; Gan, Weijun; Zhang, Mingju; Shen, Shui‐Long

doi:10.1061/(asce)su.1943-5428.0000242

Cited by 23 publications

(15 citation statements)

References 60 publications

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“…The accuracy (1 sigma) of the ultra-rapid, rapid, and final orbits are 5, 3.5, and 2.5 cm, respectively. According to our previous investigations on GPS datasets collected in Beijing [11], the RMS-accuracy of daily PPP solutions corresponding to the rapid orbit products is almost identical to the RMS-accuracy obtained from the final orbit products. The RMS-accuracy of the daily PPP solutions corresponding to the ultra-rapid products agrees with the accuracy corresponding to the final products within a one-millimeter level.…”

Section: Gps Data Processingsupporting

confidence: 55%

“…Global positional system (GPS) techniques, global navigation satellite systems (GNSS) in general, have been frequently applied for studying dynamic behaviors of engineering structures during the past two decades [1][2][3][4][5][6][7][8]. Recently, GPS techniques have been applied for monitoring long-term stability and static deformation of engineering structures [9][10][11]. The deformation information is usually used to determine the state of the structure's health.…”

Section: Introductionmentioning

confidence: 99%

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Detection and Monitoring of Tunneling-Induced Riverbed Deformation Using GPS and BeiDou: A Case Study

et al. 2019

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Shield tunneling under rivers often requires monitoring riverbed deformations in near real-time. However, it is challenging to measure riverbed deformation with conventional survey techniques. This study introduces a comprehensive method that uses the Global Positioning System (GPS) of the USA and the BeiDou navigation satellite system (BeiDou) of China to monitor riverbed deformation during the construction of twin tunnels beneath the Hutuo River in Shijiazhuang, China. A semi-permanent GPS network with one base station outside the river and six rover stations within the river was established for conducting near real-time and long-term monitoring. The distances between the base and the rover antennas are within two kilometers. The network was continuously operating for eight months from April to December 2018. The method is comprised of three components: (1) Monitoring the stability of the base station using precise point positioning (PPP) method, a stable regional reference frame, and a seasonal ground deformation model; (2) monitoring the relative positions of rover stations using the carrier-phase double-difference (DD) positioning method in near real-time; and (3) detecting abrupt and gradual displacements at both base and rover stations using an automated change point detection algorithm. The method is able to detect abrupt positional-changes as minor as five millimeters in near real-time and gradual positional-changes at a couple of millimeters per day within a week. The method has the flexibility of concurrent processing different GPS and BeiDou data sessions (e.g., every 15 minutes, 30 minutes, one hour, one day) for diffident monitoring purposes. This study indicates that BeiDou observations can also achieve few-millimeter-accuracy for measuring displacements. Parallel processing GPS and BeiDou observations can improve the reliability of near real-time structural deformation monitoring and minimize false alerts. The method introduced in this article can be applied to other urban areas for near real-time and long-term structural health monitoring.

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Section: Gps Data Processingsupporting

confidence: 55%

Section: Introductionmentioning

confidence: 99%

Detection and Monitoring of Tunneling-Induced Riverbed Deformation Using GPS and BeiDou: A Case Study

et al. 2019

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“…The first step is to get daily PPP solutions from 24 h continuous GPS observations. The GipsyX software package developed and maintained by the Jet Propulsion Laboratory (JPL) in the United States (US) is employed to get singlereceiver phase-ambiguity-fixed PPP solutions (Bertiger et al, 2010). The major parameters used for the PPP processing are the same as those listed in our previous publication for realizing North China Reference Frame 2016 (NChina16) .…”

Section: Methodsmentioning

confidence: 99%

“…The major parameters used for the PPP processing are the same as those listed in our previous publication for realizing North China Reference Frame 2016 (NChina16) . PPP daily solutions could achieve 2-4 mm horizontal accuracy (root mean square of residuals) and 5-8 mm vertical accuracy in north China (Bao et al, 2017;Guo et al, 2019). The PPP solutions are defined in an Earth-Centered-Earth-Fixed (ECEF) Cartesian coordinate system that defines a position as a pair of x, y, and z coordinates with respect to the International GNSS Service (IGS) reference frame 2014 (IGS14) (Rebischung et al, 2016).…”

Section: Methodsmentioning

confidence: 99%

“…The unit of the seasonal motion is in cm. The seasonal model could be useful for the near-real-time landslide or structural deformation monitoring since the seasonal model predicts much of the up-coming noise (Bao et al, 2017). Figure 5 depicts a comparison of the seasonal model (red) with GPS-derived seasonal ground motions (dark) in Tianjin.…”

Section: Comparisons Of the Maximum Subsidence Rates In Tianjin Housmentioning

confidence: 99%

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Rapid Land Subsidence in Tianjin, China Derived from Continuous GPS Observations (2010–2019)

Zhao

Wang

et al. 2020

Proc. IAHS

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We have delineated ten years of urban subsidence derived from continuous GPS stations operated by the Crustal Movement Observational Network of China (CMONOC) within and adjacent to the municipality of Tianjin. A method for obtaining accurate site velocities with respect to a stable regional reference frame is described. CMONOC stations in Jizhou (JIXN) and Baodi (TJBD) districts recorded minor subsidence of approximately 1 to 2 mm yr −1 during the period from 2010 to 2019. One station in Wuqing (TJWQ) district and one station in Binhai (TJBH) district recorded steady subsidence of approximately 5 and 2 cm yr −1 from 2010 to 2019, respectively. One station in Cangzhou (HECX) of Hebei Province, adjacent to Tianjin, recorded steady subsidence of approximately 2.4 cm yr −1 during 2010-2014 and more rapid subsidence of 4 cm yr −1 since 2015. TJWQ recorded the most rapid land subsidence and the most significant seasonal ground oscillations (uplift and subsidence) among these five stations. This study indicates that subsidence rates in Tianjin vary significantly in space and time. Particular attention should be paid, therefore, to extrapolate or infer a rate of subsidence for an area on the basis of a subsidence rate obtained from previous GPS observations or proximal GPS sites. The subsidence time series presented in this study provide reliable "ground truth" and constraints for calibrating or validating subsidence estimations from numerical modeling and repeated surveys using other remote sensing techniques, such as Interferometric Synthetic Aperture Radar (InSAR).

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Displacement monitoring performance of relative positioning and Precise Point Positioning (PPP) methods using simulation apparatus

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et al. 2019

Advances in Space Research

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Millimeter-Accuracy Structural Deformation Monitoring Using Stand-Alone GPS: Case Study in Beijing, China

Cited by 23 publications

References 60 publications

Detection and Monitoring of Tunneling-Induced Riverbed Deformation Using GPS and BeiDou: A Case Study

Detection and Monitoring of Tunneling-Induced Riverbed Deformation Using GPS and BeiDou: A Case Study

Rapid Land Subsidence in Tianjin, China Derived from Continuous GPS Observations (2010–2019)

Displacement monitoring performance of relative positioning and Precise Point Positioning (PPP) methods using simulation apparatus

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