Beijing subway tunnelings and high-speed railway subsidence monitoring with PSInSAR and TerraSAR-X data

Ge, Daqing; Zhang, Ling; Li, Man; Liu, Bin; Wang, Yan

doi:10.1109/igarss.2016.7730796

Cited by 18 publications

(15 citation statements)

References 2 publications

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“…Ground subsidence along subways have also been observed in other delta areas, such as Shenzhen [18], Shanghai [17,41], Beijing [19,42,43], and Mexico [44,45]. In different areas, the ground subsidence scales and magnitudes are different.…”

Section: Subsidence Along Subway Lines In Delta Areasmentioning

confidence: 99%

“…In the east of the Pearl River delta, Shenzhen subway's ground subsidence is strongly related to the long-term land reclamation [18]. However, ground subsidence in the Beijing and Mexico subway networks are dominated by excessive and long-term groundwater extraction, and the subsidence is severe and large-scale (~80 mm/year), rather than scattered small-scale damage [42].…”

Section: Subsidence Along Subway Lines In Delta Areasmentioning

confidence: 99%

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Deriving Spatio-Temporal Development of Ground Subsidence Due to Subway Construction and Operation in Delta Regions with PS-InSAR Data: A Case Study in Guangzhou, China

Wang

Feng

et al. 2017

Remote Sensing

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Abstract:Subways have been an important method for relieving traffic pressures in urban areas, but ground subsidence, during construction and operation, can be a serious problem as it may affect the safety of its operation and that of the surrounding buildings. Thus, conducting long-term ground deformation monitoring and modeling for subway networks are essential. Compared with traditional geodetic methods, the Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) technique offers wider coverage and denser measurements along subway lines. In this study, we mapped the surface deformation of the Guangzhou subway network with Advanced Synthetic Aperture Radar (ASAR) and Phased Array Type L-band Synthetic Aperture Radar (PALSAR) data using the Interferometric Point Target Analysis (IPTA) technique. The results indicate that newly excavated tunnels have regional subsidence with an average rate of more than 8 mm/year, as found on Lines Two, Three, Six, and GuangFo (GF). Furthermore, we determined the spatio-temporal subsidence behavior of subways with PALSAR in delta areas using Peck's formula and the logistic time model. We estimated the tunneling-related parameters in soft soil areas, which had not been previously explored. We examined a section of line GF, as an example, to estimate the ground settlement trough development. The results showed the maximum settlement increased from −5.2 mm to −23.6 mm and its ground loss ratio ranged from 1.5-8.7% between 13 July 2008 and 19 January 2011. In addition, we found that the tunnels in line GF will become stable after a period of about 2300 days in peak subsidence areas. The results show that the proposed approach can help explain the dynamic ground subsidence along a metro line. This study can provide references for urban subway projects in delta areas, and for the risk assessment of nearby buildings and underground pipelines along metro lines.

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Section: Subsidence Along Subway Lines In Delta Areasmentioning

confidence: 99%

Section: Subsidence Along Subway Lines In Delta Areasmentioning

confidence: 99%

Deriving Spatio-Temporal Development of Ground Subsidence Due to Subway Construction and Operation in Delta Regions with PS-InSAR Data: A Case Study in Guangzhou, China

Wang

Feng

et al. 2017

Remote Sensing

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“…Many high-density buildings and subway lines have been built in Beijing. Land subsidence caused by large-scale construction projects has become an ongoing problem in Beijing, China and other cities (Chen et al, 2015;Zhao et al, 2016;Ge et al, 2016). Jiao et al (2017) detected land surface deformation in the Central Business District (CBD) of Beijing from 2010-2013 using the PS-InSAR technique and found that there is a positive correlation between building volume and land subsidence rate when the building volume is larger than 3.00 × 105 m 3 .…”

Section: Introductionmentioning

confidence: 99%

“…Jiao et al (2017) detected land surface deformation in the Central Business District (CBD) of Beijing from 2010-2013 using the PS-InSAR technique and found that there is a positive correlation between building volume and land subsidence rate when the building volume is larger than 3.00 × 105 m 3 . Ge et al (2016) detected subsidence caused by subway tunneling excavation and construction and found that subsidence makes possible damages to the upper buildings and bridges.…”

Section: Introductionmentioning

confidence: 99%

Subsidence monitoring with TerraSAR-X data in Beijing Central Business District and subway tunnelings, China

Gong

Chen

et al. 2020

Proc. IAHS

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Land subsidence caused by large-scale engineering construction may damage the surrounding infrastructures and cause huge economic losses in inner-city environments. In this study, we used PS-InSAR technology on 68 TerraSAR-X images to acquire deformation in the Beijing Plain between February 2010 and December 2018. Then, we calculated the additional stress derived from building loads using the method proposed by Boussinesq in the Central Business District (CBD). We found that the depth of influence of additional stresses induced by building loads was 80 m and that spatial distribution pattern of the land subsidence rate agreed well with the additional stress. We found that the influence range of ground subsidence caused by metro construction is 200 m at Ciqikou station by analyzing the subsidence rate profile perpendicular to subway line No. 7 and that the maximum land subsidence rate is 23.2 mm yr −1 . Time series analysis of PS around Ciqikou station shows that land subsidence caused by excavation activities mainly occurs in the period of metro construction. Ground deformation rate decreases gradually after 372 d of subway operation. The results of both cases show that large-scale engineering construction will lead to significant land subsidence which should be considered in future urbanization.

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“…However, few researches on ground subsidence and fissure activity can be found in Xi'an after 2012. Furthermore, no specific researches on the deformation of Xi'an metro lines, though it has been successfully reported in Beijing (Chen et al, 2017;Ge et al,2016), Shenzhen (Xu et al, 2016), Shanghai (Perissin et al, 2012) with advanced InSAR techniques. The map of Shaanxi Province is an inset on the top-right corner.…”

Section: Introductionmentioning

confidence: 99%

GROUND SUBSIDENCE MONITORING WITH MT-InSAR AND MECHANISM INVERSION OVER XI’AN, CHINA

Peng¹,

Zhao²,

Zhang³

et al. 2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The ancient Xi'an, China, has been suffering severe land subsidence and ground fissure hazards since the 1960s, which has affected the safety of Subways. Multi-sensor SAR data are conducted to monitor the latest complex ground deformation and its influence on subway line No.3 over Xi'an. Annual deformation rates have been retrieved to reveal the spatiotemporal evolution of ground subsidence in Xi'an city from 2013 to 2017. Meanwhile, the correlation between land subsidence and ground fissures are analyzed by retrieving the deformation differences in both sides of the fissures. Besides, the deformation along subway line No. 3 is analyzed, and the fast deformation section is quantitatively studied. Finally, a flat lying sill model with distributed contractions is implemented to model the InSAR deformation over YHZ subsidence center, which manifests that the ground deformation is mainly caused by groundwater withdrawal.

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Beijing subway tunnelings and high-speed railway subsidence monitoring with PSInSAR and TerraSAR-X data

Cited by 18 publications

References 2 publications

Deriving Spatio-Temporal Development of Ground Subsidence Due to Subway Construction and Operation in Delta Regions with PS-InSAR Data: A Case Study in Guangzhou, China

Deriving Spatio-Temporal Development of Ground Subsidence Due to Subway Construction and Operation in Delta Regions with PS-InSAR Data: A Case Study in Guangzhou, China

Subsidence monitoring with TerraSAR-X data in Beijing Central Business District and subway tunnelings, China

GROUND SUBSIDENCE MONITORING WITH MT-InSAR AND MECHANISM INVERSION OVER XI’AN, CHINA

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