李春意, 王政玺, 王文杰,等.郑州地铁沿线地表形变时空演变规律及典型站点沉降机理分析[J].河南理工大学学报（自然科学版）,2025,44(6):127-136.

LI C Y, WANG Z X, WANG W J,et al. Study on spatiotemporal evolution of surface deformation along Zhengzhou metro corridors and settlement mechanisms at representative stations[J].Journal of Henan Polytechnic University(Natural Science) ,2025,44(6):127-136.

郑州地铁沿线地表形变时空演变规律及典型站点沉降机理分析

李春意1,2, 王政玺1, 王文杰3, 丁来中1,3, 荆莹3, 买志瑶3, 李宾3, 郑月松4

1.河南理工大学 测绘与国土信息工程学院，河南 焦作  454000；2.自然资源部矿山时空信息与生态修复重点实验室，河南 焦作  454000；3.河南省地质局矿产资源勘查中心，河南 郑州  450006；4.国网河南省电力公司经济技术研究院，河南 郑州  450006

摘要: 目的 地铁运维过程中产生的地表形变已成为当前城市建设、规划和管理部门面临的最为棘手的问题之一，严重制约了城市的健康与可持续发展。开展地铁沿线地表形变监测，研究其沉降特征及规律，对防范地铁在运维过程中潜在的风险，保障公共安全具有现实意义。  方法 以郑州市主城区为研究区，利用2016年2月—2022年1月的88景Sentinel-1A升轨影像数据，采用MT-InSAR地表形变反演方法，提取研究区内地表时序形变场和形变速率场，探究地铁沿线缓冲区内的地表形变时空演变规律。采用基于概率模型的贝叶斯估计降噪算法对提取的地铁典型站点沙门站下沉曲线进行降噪处理，去除监测数据中的噪声干扰，同时分析该站点下沉速度特征与沉降机理。 结果 结果表明，地铁沿线显著沉降区主要集中在郑州市主城区东部、西北部和西南部，其中，西北部惠济区（2号地铁线）和东部金水区（1号、5号地铁线）沉降最明显，最大沉降速率分别为16 ，12 mm/a。沙门地铁站为2号和4号线的交叉站点，地表沉降槽最大沉降点下沉速率（初始期、活跃期、衰退期）符合Logistic时间函数曲线，该站点地表出现双沉降漏斗的主要原因是地铁运维过程中疏排地下水。  结论 研究结果可以揭示地表沉降机理，为城市地铁穿越区地表形变灾害防控提供理论依据与技术参考。

关键词:地下水环境;地表形变;地铁;MT-InSAR;机理分析

doi:10.16186/j.cnki.1673-9787.2023100012

基金项目:国家自然科学基金资助项目（41671507，U1810203）；河南省科技攻关项目（212102310404）；国网河南省电力公司科技项目（5217L0230004）；测绘科学与技术“双一流”学科创建项目（BZCG202301）；自然资源部矿山时空信息与生态修复重点实验室开放基金项目（KLM202303）；河南省自然资源厅科研项目（2023-6）

收稿日期:2023/10/09

修回日期:2024/01/15

出版日期:2025/10/14

Study on spatiotemporal evolution of surface deformation along Zhengzhou metro corridors and settlement mechanisms at representative stations

Li Chunyi1,2, Wang Zhengxi1, Wang Wenjie3, Ding Laizhong1,3, Jing Ying3, Mai Zhiyao3, Li Bin3, Zheng Yuesong4

1.School of Surveying and Land Information Engineering， Henan Polytechnic University， Jiaozuo  454000， Henan， China；2.Key Laboratory of Mine Spatio-Temporal Information and Ecological Restoration， MNR， Jiaozuo  454000， Henan， China；3.Mineral Resources Exploration Center of Henan Geological Bureau， Zhengzhou  450006， Henan， China；4.Economic and Technology Research Institute， State Grid Henan Electric Power Co.， Ltd.， Zhengzhou  450006， Henan， China

Abstract: Objectives The surface deformation during metro operation and maintenance has become one of the most challenging issues for the current urban construction， planning and management departments， severely constraining healthy and sustainable urban development. Monitoring surface deformation along the metro corridors in Zhengzhou and characterizing its subsidence patterns and governing laws are of practical significance for mitigating potential risks during operation and maintenance，and for safeguarding public safety.  Methods The main urban area of Zhengzhou is adopted as the study area，with 88 Sentinel-1A ascending orbit images （February 2016-January 2022） utilized. An MT‑InSAR deformation inversion framework is employed to retrieve the time-series deformation fields and linear deformation-rate fields， and the spatiotemporal evolution of surface deformation within buffer zones along the metro lines is investigated. The subsidence curves for the representative Shamen station were denoised， using a Bayesian estimation algorithm grounded in probabilistic modeling. Measurement noise was removed and the subsidence -rate characteristics and sinking mechanism of the station were analyzed.  Results The results indicate that the significant subsidence zones are mainly concentrated in the eastern，northwestern，and southwestern regions of the main urban area. Among them， Huiji District in the northwest （Line 2）and Jinshui District （Lines 1 and 5） in the east exhibit the most pronounced subsidence，with maximum rates of 16 mm/a and 12 mm/a respectively The Shamen Station， located at the intersection of Lines 2 and 4， exhibits a subsidence-trough apex whose subsidence rate over the initial， active，and recession phases conforms to a logistic time-function curve. The primary cause for the surface double subsidence funnels above Shamen station within restricted mining areas is groundwater drainage during metro operation and maintenance. The twin subsidence funnels at the surface observed above the station are primarily attributed to groundwater drainage during metro operation and maintenance.  Conclusions The findings elucidate the mechanisms of surface subsidence and provide a theoretical basis and technical reference for the prevention and mitigation of surface deformation hazards in urban metro corridor zones.

Key words: groundwater environment; surface deformation; metro; MT-InSAR; mechanistic analysis