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金属矿山 ›› 2026, Vol. 55 ›› Issue (5): 166-174.

• • 上一篇    下一篇

基于时序InSAR 的2024 年陕西柞水县高速公路坍塌前兆形变探测

余 琛1,2,3 吕 博1,2,4 胡晓宁1,2,4 李 杰1,2,4 宋 闯1,2,3 李振洪1,2,3   

  1. 1. 长安大学地质工程与测绘学院,陕西 西安 710054;2. 黄土科学全国重点实验室,陕西 西安710054;
    3. 西部矿产资源与地质工程教育部重点实验室,陕西 西安 710054;4. 长安大学地学与卫星大数据研究中心,陕西 西安 710054
  • 出版日期:2026-05-15 发布日期:2026-06-02
  • 作者简介:余 琛(1990—),男,教授,博士,博士研究生导师。
  • 基金资助:
    中央高校基本科研业务费专项(编号:300102264901,300102263401)。

Precursor Deformation Detection of the Highway Collapse in Zhashui County,Shaanxi Province in 2024 Based on Time-temporal InSAR

YU Chen1,2,3 LÜ Bo 1,2,4 HU Xiaoning1,2,4 LI Jie1,2,4 SONG Chuang1,2,3 LI Zhenhong1,2,3   

  1. 1. College of Geological Engineering and Geomatics,Chang′an University,Xi′an 710054,China;2. State Key Laboratory of
    Loess Science,Xi′an 710054,China;3. Key Laboratory of Western China′s Mineral Resources and Geological Engineering,
    Ministry of Education,Xi′an 710054,China;4. Big Data Center for Geosciences and Satellites,Xi′an 710054,China
  • Online:2026-05-15 Published:2026-06-02

摘要: 2024 年7 月19 日,陕西省柞水县丹宁高速公路桥梁因突发山洪和水位急剧上升发生坍塌,造成严重损
失。为有效探测和预警此类灾害,采用PS-InSAR 技术,并结合高分辨率无人机影像和降雨数据,对2022 年6 月—
2024 年7 月期间塌陷区域的地表形变进行了系统性分析,探讨了其时空演变特征及与坍塌事件的潜在关联。结果表
明:塌陷区域在坍塌前2 a 内表现出显著的异常形变信号。塌陷区域及周边地表形变时空分布不均,且大部分地区的
形变速率为-5~5 mm/ a。通过对典型形变点的时序分析,发现形变具有季节性变化特征,夏季抬升速率减缓,冬季转
为沉降。坍塌前5 d,形变量突增至-10~-20 mm,表明地表形变已进入异常波动阶段。此外,2022 年8 月6 日和2024
年7 月14 日的异常形变信号均与强降雨事件同步,最大降雨量均达到12 mm/ d。强降雨导致地下水位快速上升,加
剧了地层的不均匀沉降,进而引发地表形变异常。研究结果揭示了降雨变化与地表形变的内在关联,为高速公路突
发地质灾害预警提供了科学依据,对交通基础设施的安全保障具有重要的理论与实践意义。

关键词: PS-InSAR , 形变探测 , 高速公路 , 坍塌 , 降雨 , 地质灾害

Abstract: On July 19,2024,a bridge on the Daning Expressway in Shazhou County,Shaanxi Province collapsed due to
sudden flash floods and a sharp rise in water levels,causing significant damage. To effectively detect and warn of such disasters,
the PS-InSAR technique was adopted,combined with high-resolution drone images and rainfall data,to conduct a systematic
analysis of the surface deformation in the collapsed area from June 2022 to July 2024. The study explored the temporal and
spatial evolution characteristics of the deformation and its potential correlation with the collapse event. The results showed that
the collapsed area exhibited significant abnormal deformation signals within 2 years before the collapse. The spatial and temporal
distribution of surface deformation in the collapsed area and its surrounding regions was uneven,and the deformation rate in
most areas was -5 mm/ a to 5 mm/ a. Through the time series analysis of typical deformation points,it was found that the deformation
had seasonal variation characteristics,with the uplift rate slowing down in summer and turning to subsidence in winter.
Five days before the collapse,the deformation volume suddenly increased to -10 mm to -20 mm,indicating that the surface
deformation had entered an abnormal fluctuation stage. Additionally,the abnormal deformation signals on August 6,2022,and
July 14,2024,were both synchronous with intense rainfall events,with the maximum rainfall reaching approximately 12 mm/ d.
The intense rainfall caused the groundwater level to rise rapidly,exacerbating the uneven subsidence of the strata,and subsequently
triggering abnormal surface deformation. The study results revealed the intrinsic relationship between rainfall changes
and surface deformation,providing a scientific basis for the early warning of sudden geological disasters on expressways,and having significant theoretical and practical significance for the safety guarantee of transportation infrastructure.

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