Shanghai subway tunnels and highways monitoring through Cosmo-SkyMed Persistent Scatterers

Perissin, Daniele; Wang, Zhiying; Lin, Hui

doi:10.1016/j.isprsjprs.2012.07.002

Cited by 171 publications

(100 citation statements)

References 17 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 Shanghai, most metro tunnels are constructed in the soft clay layer with high water content, high compressibility, and low permeability, so non-uniform subsidence (~20 mm/year) has often been detected, especially in areas near stations [44]. According to Perissin et al [17], metro lines that started operating after 2009 have obvious subsidence, while those run since or before 2007 show no significant motion in Shanghai. So, the subsidence of the Shanghai subway network has some similarities with our results for the Guangzhou subway network.…”

Section: Subsidence Along Subway Lines In Delta Areasmentioning

confidence: 99%

See 1 more Smart Citation

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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“…According to the observation of Equation (11), if the three different LOS displacement rates are available for each point, the 3D displacement rates at the center of the window can be estimated by an LS solution with the LOS displacement rates at all the points in the window. In an arbitrary localized window with n points, the observation equation can be expressed by: (13) in which the coefficient matrix B, the unknown vector X to be estimated, the observation vector L and the correction vector R can be denoted by: …”

Section: Figurementioning

confidence: 99%

“…Dong et al [12] applied the SBAS method to the L-band ALOS PALSAR images acquired between 2007 and 2010, revealing the spatial and temporal behavior of land displacement along the radar line of sight (LOS) in a large area of Shanghai. Perissin et al [13] extracted land subsidence in Shanghai by using 33 Cosmo-SkyMed SAR images with the SARPROZ software [14], and concentrated on tracking the paths of newly excavated subway tunnels, which allows one to analyze the transverse motion profiles over metro tunnels and predict possible building damage.…”

Section: Introductionmentioning

confidence: 99%

Extracting Vertical Displacement Rates in Shanghai (China) with Multi-Platform SAR Images

Dai

Liu

et al. 2015

Remote Sensing

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This paper presents a novel method for extracting the land vertical displacement rates (VDRs) in Shanghai (China) using the multi-platform SAR images collected between 2009 and 2010, i.e., the ascending/descending COSMO-SkyMed (CSK) X-band images and the descending TerraSAR (TSX) X-band images. Different from the conventional approach the proposed method estimates the VDRs by multi-temporal interferometric SAR processing (i.e., temporarily coherent point InSAR, TCPInSAR) and the localized least square (LS) solution, through which the horizontal displacement rates (HDRs) can be also derived as the by-product. The three types of displacement rates in the radar line of sight (LOS) are first estimated by TCPInSAR with use of the ascending/descending CSK and descending TSX data. Both the VDRs and HDRs are then estimated by a localized LS method on the basis of the three types of LOS displacement rates derived by TCPInSAR. For comparison purposes, the VDRs for the single-platform SAR data are also obtained through dividing the LOS displacement rates by the cosine of the radar incidence angle. The analysis with the aid of GPS data shows the horizontal motion due to the geological settings in Shanghai cannot be ignored, and the VDRs derived from the single-platform data are not accurate and reliable OPEN ACCESSRemote Sens. 2015, 7 9543 without taking into account the horizontal motion. The experimental results indicate the TCPInSAR-LS method can be used to efficiently improve the accuracy in the VDRs by integrating the multi-platform SAR data and considering both horizontal and vertical motion, thus overcoming the disadvantages in the conventional approach. The improved VDRs in Shanghai range between −22.8 and 9.6 mm/year, while the relative east-west motion rates range between −7.2 and 6.2 mm/year, and the relative north-south motion is subtle and can be ignored. Analysis of the improved VDRs shows that a slightly uplifting area of about 70 km 2 appears in the west downtown of Shanghai, and a subsiding bowl appears in the Hongkou District of Shanghai. The validation indicates that the uplifting trend can be ascribed to the measures conducted by the Shanghai municipal government, i.e., decreasing the groundwater pumping volume and increasing the groundwater recharge volume.

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“…These settlements may occur during and after foundation construction, and, when not correctly predicted, can cause delays and a considerable increase in costs of the whole reclamation project. Ground settlement of reclaimed coastal areas in Shanghai, which is caused by over-pumping groundwater and consolidation of dredger fills and alluvial deposits, have already been observed and reported in the literature [15][16][17][18][19][20]. In particular, field measurements indicate that ground settlement of the reclaimed foundations occurred during the construction of Lingang New City in Shanghai.…”

Section: Introductionmentioning

confidence: 94%

The Use of C-/X-Band Time-Gapped SAR Data and Geotechnical Models for the Study of Shanghai’s Ocean-Reclaimed Lands through the SBAS-DInSAR Technique

et al. 2016

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Abstract:In this work, we investigate the temporal evolution of ground deformation affecting the ocean-reclaimed lands of the Shanghai (China) megacity, from 2007 to 2016, by applying the Differential Synthetic Aperture Radar Interferometry (DInSAR) technique known as the Small BAseline Subset (SBAS) algorithm. For the analysis, we exploited two sets of non-time-overlapped synthetic aperture radar (SAR) data, acquired from 2007 to 2010, by the ASAR/ENVISAT (C-band) instrument, and from 2014 to 2016 by the X-band COSMO-SkyMed (CSK) sensors. The long time gap (of about three years) existing between the available C-and X-band datasets made the generation of unique displacement time-series more difficult. Nonetheless, this problem was successfully solved by benefiting from knowledge of time-dependent geotechnical models, which describe the temporal evolution of the expected deformation affecting Shanghai's ocean-reclaimed platforms. The combined ENVISAT/CSK (vertical) deformation time-series were analyzed to gain insight into the future evolution of displacement signals within the investigated area. As an outcome, we find that ocean-reclaimed lands in Shanghai experienced, between 2007 and 2016, average cumulative (vertical) displacements extending down to 25 centimeters.

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Shanghai subway tunnels and highways monitoring through Cosmo-SkyMed Persistent Scatterers

Cited by 171 publications

References 17 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

Extracting Vertical Displacement Rates in Shanghai (China) with Multi-Platform SAR Images

The Use of C-/X-Band Time-Gapped SAR Data and Geotechnical Models for the Study of Shanghai’s Ocean-Reclaimed Lands through the SBAS-DInSAR Technique

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