Monitoring and Analysis of Land Subsidence Induced by Social Aggregation Effects for Operational Subway via PS-InSAR: A Case Study in Guangzhou Metro Line 6, China

With the continuous construction and operation of urban subways, rapid changes in various urban elements have occurred, subsequently resulting in land subsidence along subway lines. Compared to the construction period, monitoring and multi-factor analysis of subway deformation during the operational period is relatively limited. In this paper, we examine the issue through the novel lens of socio factor agglomeration. Both Sentinel-1, TerraSAR-X, ascending/descending LuTan-1 images and a Block PS-InSAR method were used to monitor 8-year ground subsidence for Kemulang station on Guangzhou Metro Line 6. Compared with the leveling measurements, the root mean square error (RMSE) of the InSAR results was 2.24 mm. Furthermore, social agglomeration effects such as population concentration, property clustering, commercial aggregation and the intensification of resource consumption were considered to analyze the main reason of ground subsidence, the synergistic process of multiple factors and the mechanism of accelerated subsidence phenomenon. We can find from the results that the fundamental cause of the large-scale land subsidence along the subway line is groundwater over-extraction triggered by population agglomeration, coupled with the response of adverse geological formations. Groundwater over-extraction has caused irreversible damage to the local strata. The research shows that the social agglomeration effect will cause more complex disturbance to the subway and lead to more continuous ground subsidence and more covert safety threat for subway operation, which should not be ignored.

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Publication Details

Journal
Applied Sciences
Published
2025-10-28
DOI
https://doi.org/10.3390/app152111492
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
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Monitoring and Analysis of Land Subsidence Induced by Social Aggregation Effects for Operational Subway via PS-InSAR: A Case Study in Guangzhou Metro Line 6, China

Yanan Du, Zeying Lan, Guochao Liu, Xiao Zhang et al.
Applied Sciences
Synthetic Aperture Radar (SAR) Applications and Techniques
article

Monitoring and Analysis of Land Subsidence Induced by Social Aggregation Effects for Operational Subway via PS-InSAR: A Case Study in Guangzhou Metro Line 6, China

Yanan Du, Zeying Lan, Guochao Liu, Xiao Zhang, Yang Liu, Jingxin Hou, Xing Min, Chunshuai Si
article en

Abstract

With the continuous construction and operation of urban subways, rapid changes in various urban elements have occurred, subsequently resulting in land subsidence along subway lines. Compared to the construction period, monitoring and multi-factor analysis of subway deformation during the operational period is relatively limited. In this paper, we examine the issue through the novel lens of socio factor agglomeration. Both Sentinel-1, TerraSAR-X, ascending/descending LuTan-1 images and a Block PS-InSAR method were used to monitor 8-year ground subsidence for Kemulang station on Guangzhou Metro Line 6. Compared with the leveling measurements, the root mean square error (RMSE) of the InSAR results was 2.24 mm. Furthermore, social agglomeration effects such as population concentration, property clustering, commercial aggregation and the intensification of resource consumption were considered to analyze the main reason of ground subsidence, the synergistic process of multiple factors and the mechanism of accelerated subsidence phenomenon. We can find from the results that the fundamental cause of the large-scale land subsidence along the subway line is groundwater over-extraction triggered by population agglomeration, coupled with the response of adverse geological formations. Groundwater over-extraction has caused irreversible damage to the local strata. The research shows that the social agglomeration effect will cause more complex disturbance to the subway and lead to more continuous ground subsidence and more covert safety threat for subway operation, which should not be ignored.

Applied SciencesVol. 15(21)
Guangdong University of Technology (CN), Sun Yat-sen University (CN), Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality (CN), Guangzhou Urban Planning Survey & Design Institute (CN), Guangzhou Metro Group (China) (CN), Guangzhou Institute of Geography (CN)
Openalex Percentile: Top 57%
Synthetic Aperture Radar (SAR) Applications and Techniques
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