Land Subsidence Investigation Along Railway Using Permanent Scatterers SAR Interferometry

Ge, Daqing; Wang, Yan; Guo, Xiaofang; Wang, Yi; Xia, Ye

doi:10.1109/igarss.2008.4779225

Cited by 9 publications

(7 citation statements)

References 5 publications

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“…Most of the reported Interferometric Synthetic Aperture Radar (InSAR) applications to the monitoring of high-speed railways (HSR) have been developed in China and Taiwan. In these countries, railway and highway infrastructure are experiencing rapid development and they traverse numerous areas affected by ground instability phenomena (Ge et al, 2008(Ge et al, , 2009Hung et al, 2010;Shi et al, 2010;Wu et al, 2010;Zhang et al, 2010;Chen et al, 2012;Ge et al, 2013). The instability processes that produce most problems on Chinese railways, and are the main targets of InSAR analyses, are related to groundwater abstraction (Hung et al, 2010;Zhang et al, 2010) and permafrost (Chen et al, 2013;Shi et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Railway deformation detected by DInSAR over active sinkholes in the Ebro Valley evaporite karst, Spain

Arnedo¹,

Castañeda²,

Gutiérrez³

2015

Preprint

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Abstract. Previously not measured subsidence on railway tracks was detected using DInSAR displacement maps produced for the central sector of Ebro Valley (NE Spain). This area is affected by evaporite karst and the analyzed railway corridors traverse active sinkholes that produce deformations in these infrastructures. One of the railway tracks affected by slight settlements corresponds to the Madrid–Barcelona high-speed line, a transport infrastructure highly vulnerable to ground deformation processes. Our analysis based on DInSAR measurements and geomorphological surveys indicate that this line show dissolution-induced subsidence and compaction of anthropogenic deposits (infills and embankments). By using DInSAR techniques, it was also measured the significant subsidence related to the activity of sinkholes in the Castejón–Zaragoza conventional railway line. Thus, this study demonstrate that DInSAR velocity maps coupled with detailed geomorphological surveys may help in the identification of the sectors of railway tracks that may compromise the safety of travellers.

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Section: Introductionmentioning

confidence: 99%

Railway deformation detected by DInSAR over active sinkholes in the Ebro Valley evaporite karst, Spain

Arnedo¹,

Castañeda²,

Gutiérrez³

2015

Preprint

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“…However, both the ENVISAT and ALOS data correspond to ascending paths and, consequently, the differences observed between the two DInSAR displacement rate maps cannot be related to the course of the satellites. Ge et al (2008) and Shi et al (2010) have obtained deformation sequences covering long time spans analysing PSs along railways. Shi et al (2010) measured numerous minor and locally distributed displacements that were not detected by levelling.…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Railway deformation detected by DInSAR over active sinkholes in the Ebro Valley evaporite karst, Spain

Arnedo

Álamo

Gutiérrez

2015

Nat. Hazards Earth Syst. Sci.

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Abstract. Subsidence was measured for the first time on railway tracks in the central sector of Ebro Valley (NE Spain) using Differential Synthetic Aperture Radar Interferometry (DInSAR) techniques. This area is affected by evaporite karst and the analysed railway corridors traverse active sinkholes that produce deformations in these infrastructures. One of the railway tracks affected by slight settlements is the Madrid-Barcelona high-speed line, a form of transport infrastructure highly vulnerable to ground deformation processes. Our analysis based on DInSAR measurements and geomorphological surveys indicates that this line shows dissolution-induced subsidence and compaction of anthropogenic deposits (infills and embankments). Significant sinkhole-related subsidence was also measured by DInSAR techniques on the Castejón-Zaragoza conventional railway line. This study demonstrates that DInSAR velocity maps, coupled with detailed geomorphological surveys, may help in the identification of the railway track sections that are affected by active subsidence.

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“…Man-made infrastructures built on soft clay subgrade are more prone to settlement and subsidence due to the geological characteristics of soft clay with high water content, high compression and weak strength. Therefore, long-term subsidence monitoring for highways built on soft clay subgrade is crucial to prevent potential hazards [3].…”

Section: Introductionmentioning

confidence: 99%

Radar Interferometry Time Series to Investigate Deformation of Soft Clay Subgrade Settlement—A Case Study of Lungui Highway, China

et al. 2019

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Monitoring surface movement near highways over soft clay subgrades is fundamental for understanding the dynamics of the settlement process and preventing hazards. Earlier studies have demonstrated the accuracy and cost-effectiveness of using time series radar interferometry (InSAR) technique to measure the ground deformation. However, the accuracy of the advanced differential InSAR techniques, including short baseline subset (SBAS) InSAR, is limited by the temporal deformation models used. In this study, a comparison of four widely used time series deformation models in InSAR, namely Multi Velocity Model (MVM), Permanent Velocity Model (PVM), Seasonal Model (SM) and Cubic Polynomial Model (CPM), was conducted to measure the long-term ground deformation after the construction of road embankment over soft clay subgrade. SBAS-InSAR technique with TerraSAR-X satellite imagery were conducted to generate the time series deformation data over the studied highway. In the experiments, three accuracy indices were applied to show the residual phase, mean temporal coherence and the RMS of high-pass deformation, respectively. In addition, the derived time series deformation maps of the highway based on the four selected models and 17 TerraSAR-X images acquired from June 2014 to November 2015 were compared. The leveling data was also used to validate the experimental results. Our results suggested the Seasonal Model is the most suitable model for the selected study site. Consequently, we analyzed two bridges in detail and three single points distributed near the highway. Compared with the ground leveling deformation measurements and results of other models, SM showed better consistency, with the accuracy of deformation to be ±7 mm.

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Land Subsidence Investigation Along Railway Using Permanent Scatterers SAR Interferometry

Cited by 9 publications

References 5 publications

Railway deformation detected by DInSAR over active sinkholes in the Ebro Valley evaporite karst, Spain

Railway deformation detected by DInSAR over active sinkholes in the Ebro Valley evaporite karst, Spain

Railway deformation detected by DInSAR over active sinkholes in the Ebro Valley evaporite karst, Spain

Radar Interferometry Time Series to Investigate Deformation of Soft Clay Subgrade Settlement—A Case Study of Lungui Highway, China

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