Analysis of Land Subsidence and Influencing Factors in the Beijing Plain Area Based on PS-InSAR Technology

Chang GE , Yun SHI , Wen-yu GONG , Xin LIAO , Guo-hong ZHANG

Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (18) : 7502 -7510.

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Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (18) : 7502-7510 DOI: 10.12404/j.issn.1671-1815.2405935
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Analysis of Land Subsidence and Influencing Factors in the Beijing Plain Area Based on PS-InSAR Technology
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Abstract

Further analysis is needed to comprehend how the trend of land subsidence in the Beijing plain area evolves following the implementation of a series of prevention and control measures. Based on the Sentinel-1A image data from 2017 to 2022, the PS-InSAR technique was employed to assess the current situation of land subsidence in the plain area of Beijing, and the geographical detector was utilized to analyze the main influencing factors of land subsidence and their interaction effects. The findings reveal the following: The main conclusions were as follows. The distribution of land subsidence in Beijing plain is uneven, and the maximum subsidence rate reaches 90 mm/a. The subsidence rate of non-funnel area shows a certain degree of slowing trend from 2020 to 2021, while the slowing trend of subsidence rate in funnel area is not obvious. Groundwater as the primary influencing factor of land subsidence, with the thickness of the compressible layer closely following. The interaction among all influencing factors demonstrates a factor enhancement relationship, with the interaction between groundwater and subway infrastructure exerting the most significant impact on land subsidence. This highlights that groundwater and urban construction jointly propel land subsidence in the Beijing plain area. These research findings provide a scientific foundation for the comprehensive assessment, precise prediction, and integrated prevention and control of land subsidence in the Beijing plain.

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Beijing plain area / land subsidence / influencing factors / PS-InSAR / geographic detector

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Chang GE, Yun SHI, Wen-yu GONG, Xin LIAO, Guo-hong ZHANG. Analysis of Land Subsidence and Influencing Factors in the Beijing Plain Area Based on PS-InSAR Technology. Science Technology and Engineering, 2025, 25(18): 7502-7510 DOI:10.12404/j.issn.1671-1815.2405935

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