Monitoring Land Subsidence along the Subways in Shanghai on the Basis of Time-Series InSAR

Article Environmental Sciences

Elastic and Inelastic Ground Deformation in Shanghai Lingang Area Revealed by Sentinel-1, Leveling, and Groundwater Level Data

Yanling Chen et al.

Summary: This study used the PSInSAR technique to investigate the spatio-temporal pattern and mechanism of ground subsidence in Shanghai Lingang New City. The high accuracy of PSInSAR was validated through comparison with leveling data. By analyzing PSInSAR measurements and groundwater level data, the skeleton release coefficients were obtained. The study found that the coastal area underwent both elastic and inelastic deformation. This research provides valuable insights for ground subsidence monitoring and groundwater extraction management.

REMOTE SENSING (2022)

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Article Engineering, Aerospace

The influence of groundwater levels on land subsidence in Karaman (Turkey) using the PS-InSAR technique

Cemil Gezgin

Summary: Population growth and agricultural activities have caused an increasing demand for water in the Karaman region. This study analyzed the surface deformation in and around Karaman using satellite data, GNSS, and groundwater levels, and found significant land subsidence in the region. The results indicate a strong correlation between subsidence rates and groundwater levels, suggesting that excessive groundwater extraction is the main cause of subsidence.

ADVANCES IN SPACE RESEARCH (2022)

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Article Environmental Sciences

A PSI targets characterization approach to interpreting surface displacement signals: A case study of the Shanghai metro tunnels

Mengshi Yang et al.

Summary: This study proposes a target characterization approach for multi-epoch InSAR post-processing to efficiently correlate the target's possible deformation types and corresponding characteristics. The approach is demonstrated on the metro network of Shanghai, China, showing its effectiveness in measuring displacements of Earth's surface over time.

REMOTE SENSING OF ENVIRONMENT (2022)

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Article Environmental Sciences

Surface Deformation Mechanism Analysis in Shanghai Areas Based on TS-InSAR Technology

Jiahao Li et al.

Summary: This study measured and investigated the surface deformation in Shanghai using the time series InSAR method, finding uneven temporal and spatial distribution of deformation. Factors such as groundwater, rainfall, and urban development were correlated with surface subsidence. The results provide scientific data that can support the development of Shanghai.

REMOTE SENSING (2022)

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Article Engineering, Civil

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

Pengpeng Ding et al.

Summary: This paper studies the land subsidence along the Lunan high-speed railway from 2016 to 2018 using various technologies, finding multiple subsidence center areas with a maximum subsidence rate exceeding -55 mm/yr. Factors such as coal mining, compressible layer thickness, and changes in groundwater level are the main contributors to land subsidence, with a total contribution rate of over 90%.

KSCE JOURNAL OF CIVIL ENGINEERING (2021)

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Article Environmental Sciences