Surface Subsidence Analysis by Multi-Temporal InSAR and GRACE: A Case Study in Beijing

Guo, Jiming; Zhou, Lv; Yao, Chaolong; Hu, Jiyuan

doi:10.3390/s16091495

Cited by 42 publications

(29 citation statements)

References 51 publications

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“…This serious land subsidence with a rapid rate and a wide range of values has been observed in previous studies. Our deformation results from PSI are similar with the land subsidence results detected by IPTA (Interferometric Point Target Analysis) method [50], SBAS (small baseline subset) method [51,52], and Multi-Temporal InSAR [26]. There is a similar maximum subsidence rate about 140 mm/year during 2003 to 2010 in the Beijing Plain.…”

Section: Spatiotemporal Evolution Of Subsidence Bowlssupporting

confidence: 78%

Spatiotemporal Evolution of Land Subsidence in the Beijing Plain 2003–2015 Using Persistent Scatterer Interferometry (PSI) with Multi-Source SAR Data

et al. 2018

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Land subsidence is one of the most important geological hazards in Beijing, China, and its scope and magnitude have been growing rapidly over the past few decades, mainly due to long-term groundwater withdrawal. Interferometric Synthetic Aperture Radar (InSAR) has been used to monitor the deformation in Beijing, but there is a lack of analysis of the long-term spatiotemporal evolution of land subsidence. This study focused on detecting and characterizing spatiotemporal changes in subsidence in the Beijing Plain by using Persistent Scatterer Interferometry (PSI) and geographic spatial analysis. Land subsidence during 2003-2015 was monitored by using ENVISAT ASAR (2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010), RADARSAT-2 (2011RADARSAT-2 ( -2015 and TerraSAR-X (2010TerraSAR-X ( -2015 images, with results that are consistent with independent leveling measurements. The radar-based deformation velocity ranged from −136.9 to +15.2 mm/year during 2003-2010, and −149.4 to +8.9 mm/year during 2011-2015 relative to the reference point. The main subsidence areas include Chaoyang, Tongzhou, Shunyi and Changping districts, where seven subsidence bowls were observed between 2015. Equal Fan Analysis Method (EFAM) shows that the maximum extensive direction was eastward, with a growing speed of 11.30 km 2 /year. Areas of differential subsidence were mostly located at the boundaries of the seven subsidence bowls, as indicated by the subsidence rate slope. Notably, the area of greatest subsidence was generally consistent with the patterns of groundwater decline in the Beijing Plain.

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Section: Spatiotemporal Evolution Of Subsidence Bowlssupporting

confidence: 78%

Spatiotemporal Evolution of Land Subsidence in the Beijing Plain 2003–2015 Using Persistent Scatterer Interferometry (PSI) with Multi-Source SAR Data

et al. 2018

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“…To achieve deformation information, components φ topo,j (x, r), φ atm,j (x, r), and φ noise,j (x, r) should be separated from δφ j (x, r). After removing the above-mentioned components, a system of M equations in N unknowns can be obtained from Equation (2). The matrix form of the system can be expressed as follows:…”

Section: Fundamental Principle Of Sbas-insar Techniquementioning

confidence: 99%

“…Aside from the above-mentioned TS-InSAR methods, other approaches, e.g., the Temporally Coherent Point InSAR (TCPInSAR) [26], the Quasi-PS (QPS) [27], and the Intermittent SBAS (ISBAS) [28], were proposed for different monitoring situations. These TS-InSAR methods have been widely applied in urban surface subsidence monitoring in Beijing [2,29], Mexico [30], Hanoi [31], Shanghai [32,33], and Jinan [34].…”

Section: Introductionmentioning

confidence: 99%

“…Surface subsidence is one of the main engineering geological problems worldwide, and it is caused by consolidation and compression of underground unconsolidated strata because of non-human-related (e.g., earthquake and natural consolidation of soil) or human-related (e.g., groundwater extraction and underground construction) activities [1][2][3]. Surface subsidence is also one of the major regional geological disasters that cause serious damage to buildings, infrastructures, roads, and bridges and affect human safety in cities [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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Wuhan Surface Subsidence Analysis in 2015–2016 Based on Sentinel-1A Data by SBAS-InSAR

et al. 2017

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Abstract:The Terrain Observation with Progressive Scans (TOPS) acquisition mode of Sentinel-1A provides a wide coverage per acquisition and features a repeat cycle of 12 days, making this acquisition mode attractive for surface subsidence monitoring. A few studies have analyzed wide-coverage surface subsidence of Wuhan based on Sentinel-1A data. In this study, we investigated wide-area surface subsidence characteristics in Wuhan using 15 Sentinel-1A TOPS Synthetic Aperture Radar (SAR) images acquired from 11 April 2015 to 29 April 2016 with the Small Baseline Subset Interferometric SAR (SBAS InSAR) technique. The Sentinel-1A SBAS InSAR results were validated by 110 leveling points at an accuracy of 6 mm/year. Based on the verified SBAS InSAR results, prominent uneven subsidence patterns were identified in Wuhan. Specifically, annual average subsidence rates ranged from −82 mm/year to 18 mm/year in Wuhan, and maximum subsidence rate was detected in Houhu areas. Surface subsidence time series presented nonlinear subsidence with pronounced seasonal variations. Comparative analysis of surface subsidence and influencing factors (i.e., urban construction, precipitation, industrial development, carbonate karstification and water level changes in Yangtze River) indicated a relatively high spatial correlation between locations of subsidence bowl and those of engineering construction and industrial areas. Seasonal variations in subsidence were correlated with water level changes and precipitation. Surface subsidence in Wuhan was mainly attributed to anthropogenic activities, compressibility of soil layer, carbonate karstification, and groundwater overexploitation. Finally, the spatial-temporal characteristics of wide-area surface subsidence and the relationship between surface subsidence and influencing factors in Wuhan were determined.

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“…A spatially uneven ground subsidence have happened since beginning of construction, because of soft ground foundation (Kim, 2011;Kim et al, 2005;Cho and Lee, 2014). Ground subsidence is the main geological disaster, as it can cause serious damages to the urban components such as; structures, buildings or sanitary sewers (Guo et al, 2016;Luo et al, 2014). Thus ground displacements monitoring were performed using various in-situ measuring instruments such as settlement plates, differential settlement gauges or clinometers since the construction had been began (Cho and Lee, 2014).…”

Section: Introductionmentioning

confidence: 99%

Measurement of Seaward Ground Displacements on Coastal Landfill Area Using Radar Interferometry

Baek

Jung

2018

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

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ABSTRACT:In order to understand the mechanism of subsidence and help reducing damage, researchers has been observed the line-of-sight subsidence on the Noksan industrial complex using SAR Interferometry(InSAR) and suggested subsidence prediction models. Although these researches explained a spatially uneven ground subsidence near the seaside, they could not have been explained the occurrence of the newly proposed seaward horizontal, especially nearly north-ward, displacement because of the geometric limitation of InSAR measurements. In this study, we measured the seaward ground displacements trend on the coastal landfill area, Noksan Industrial Complex. We set the interferometric pairs from an ascending and a descending orbits strip map data of ALOS PALSAR2. We employed InSAR and MAI stacking approaches for the both orbits respectively in order to improve the measurement. Finally, seaward deformation was estimated by retrieving three-dimensional displacements from multi-geometric displacements. As a results, maximally 3.3 and 0.7 cm/year of ground displacements for the vertical and seaward directions. In further study, we plan to generate InSAR and MAI stacking measurements with additional SAR data to mitigate tropospheric effect and noise well. Such a seaward observation approach using spaceborne radar is expected to be effective in observing the long-term movements on coastal landfill area.

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Surface Subsidence Analysis by Multi-Temporal InSAR and GRACE: A Case Study in Beijing

Cited by 42 publications

References 51 publications

Spatiotemporal Evolution of Land Subsidence in the Beijing Plain 2003–2015 Using Persistent Scatterer Interferometry (PSI) with Multi-Source SAR Data

Spatiotemporal Evolution of Land Subsidence in the Beijing Plain 2003–2015 Using Persistent Scatterer Interferometry (PSI) with Multi-Source SAR Data

Wuhan Surface Subsidence Analysis in 2015–2016 Based on Sentinel-1A Data by SBAS-InSAR

Measurement of Seaward Ground Displacements on Coastal Landfill Area Using Radar Interferometry

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