Monitoring and influencing factors analysis of land subsidence along the Beijing-Xiong'an intercity railway using InSAR technology

doi:10.13474/j.cnki.11-2246.2026.0208

Abstract

Abstract: To address the limited quantitative research and insufficient temporal coverage of surface subsidence and its driving factors along the Beijing-Xiong'an intercity railway.The SBAS-InSAR technique,Moran's I index,and multi-scale geographically weighted regression (MGWR)model were employed to monitor and analyze surface deformation from November 2022 to November 2024.Within a 4 km buffer zone on both sides of the railway,the maximum average annual vertical deformation rate reached -127 mm/a.Subsidence was mainly concentrated west of Xiong'an Station to Bazhou North Station,showing significant spatial clustering.In order of contributions size,driving factors are groundwater level fluctuation、distance to faults、distance to rivers、surface roughness、distance to roads.Cumulative deformation was negatively correlated with groundwater level fluctuation,indicating that groundwater extraction aggravates subsidence.In the section west of Xiong'an to Bazhou North,subsidence increased with distance to faults,suggesting that the Niudong Fault may cause the observed differential settlement.These findings provide a scientific reference for railway maintenance and groundwater resource management.

Key words: Beijing-Xiong'an intercity railway, SBAS-InSAR, land subsidence, multi-scale geographically weighted regression, subsidence influencing factors

CLC Number:

P23
P258

LIN Yang, YU Bing, TIAN Xin, ZHANG Guanjun, LIU Cheng, GAN Jun, LI Guangyu. Monitoring and influencing factors analysis of land subsidence along the Beijing-Xiong'an intercity railway using InSAR technology[J]. Bulletin of Surveying and Mapping, 2026, 0(2): 46-53.

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