Analysis and Evaluation of Land Subsidence along Linear Engineering Based on InSAR Data

Ding, Pengpeng; Jia, Chengzao; Di, Shengtong; Wu, Jing; Wei, Ruchun

doi:10.1007/s12205-021-0201-z

Cited by 7 publications

(3 citation statements)

References 40 publications

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“…For the subway safety system, the staff strictly abide by the engineering regulations during the construction period and take timely repair measures once the safety standards are exceeded. During the operation period, the subsidence area shall be further monitored in real time, and when the national safety regulations are exceeded, the operation shall be adjusted in time and measures shall be taken to improve the construction [1][2][3][17][18][19][20][21][22][23][24][25]32,36,37].…”

Section: Analysis Of the Causes Of Subsidencementioning

confidence: 99%

“…With the acceleration of urbanization, an increasing number of cities have experienced land subsidence. Some areas have even become the areas hardest hit by subsidence, causing huge economic losses, affecting the safe development of cities, and threatening people's lives and health [1][2][3]. Land subsidence was first recorded in Mexico City in 1891.…”

Section: Introductionmentioning

confidence: 99%

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Land Subsidence in Qingdao, China, from 2017 to 2020 Based on PS-InSAR

Zhang

Bai

et al. 2022

IJERPH

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Land subsidence is a global geological disaster that seriously affects the safety of surface and underground buildings/structures and even leads to loss of life and property. The large-scale and continuous long-time coverage of Interferometric Synthetic Aperture Radar (InSAR) time series analysis techniques provide data and a basis for the development of methods for the investigation and evolution mechanism study of regional land subsidence. Based on the 108 SAR data of Sentinel-1 from April 2017 to December 2020, this study used Persistent Scatterer InSAR (PS-InSAR) technology to monitor the land subsidence in Qingdao. In addition, detailed analysis and discussion of land subsidence combined with the local land types and subway construction were carried out. From the entire area to the local scale, the deformation analysis was carried out in the two dimensions of time and space. The results reveal that the rate of surface deformation in Qingdao from 2017 to 2020 was mainly −34.48 to 5.77 mm/a and that the cumulative deformation was mainly −126.10 to 30.18 mm. The subsidence areas were mainly distributed in coastal areas (along the coasts of Jiaozhou Bay and the Yellow Sea) and inland areas (northeast Laixi City and central Pingdu City). In addition, it was found that obvious land subsidence occurred near the Health Center Station of Metro Line 8, a logistics company in Qingdao, and near several high-rise residential areas and business office buildings. It is necessary for the relevant departments to take timely action to prevent and mitigate subsidence-related disasters in these areas.

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Section: Analysis Of the Causes Of Subsidencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Land Subsidence in Qingdao, China, from 2017 to 2020 Based on PS-InSAR

Zhang

Bai

et al. 2022

IJERPH

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“…The Interferometric Synthetic Aperture Radar (InSAR) technology proposed in the 1970s is a newly developed active microwave remote sensing earth observation technology in recent years (Bhattacharya and Mukherjee 2017;Moreira et al 2013;Mastro et al 2020), which can continuously monitor the mine area surface displacement with the help of image data obtained during the transit of SAR satellites. After recent decades of development, today's InSAR mainly include Digital Elevation Model (DEM) production (Zhang, Wang, and Chen 2012), differential InSAR (D-InSAR) (Wang et al 2009) and time-series InSAR (TS-InSAR) deformation monitoring (Fan, Lu, and Yao 2018).InSAR deformation monitoring has been widely used to monitor surface deformation, such as mining (Yang et al 2020;Sui, Ma, and Chen 2020), landslides (Castaneda et al 2009), volcanic eruptions (Olivier et al 2019;Comerci et al 2015), glacial movements (Zhou et al 2011;Li et al 2009), spatial changes in sea level (Tang et al 2021), and urban ground subsidence (Chen et al 2021;Ding et al 2021;Li et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Research on time series InSAR monitoring method for multiple types of surface deformation in mining area

Yang

Zhang

et al. 2022

Nat Hazards

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Interferometric Synthetic Aperture Radar (InSAR) has become the main choice of remote sensing detection method for monitoring large surface subsidence and deformation caused by underground coal mining. Time Series InSAR (TS-InSAR) has been intensively researched in mining-caused deformation monitoring for its ability to provide surface deformation time series, with Short Baseline Subset InSAR (SBAS-InSAR) and Permanent Scatter InSAR (PS-InSAR) being two classical methods. To obtain the incline and curvature in mining areas and assess the building damage, this paper exploits the results from SBAS-InSAR and PS-InSAR methods for the estimation of surface incline and curvature, following the principle of directional derivatives, and the surface beneath the villages and the industrial square near the 7221 Grout-filled working face, in the Huaibei mining area of Anhui Province, China, was analyzed. The estimated surface incline and curvature with SBAS-InSAR were within the threshold values specified for Class I damage, while PS-InSAR showed less than 1% measurements which exceeded this threshold. This paper provides a method for monitoring the surface deformation beneath the buildings around the mine area. Meanwhile, the dynamic analysis of the damage degree of buildings provides a basis for the determination of the influence range with grout-filled working faces.

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