联合时序SBAS-InSAR与GACOS的青岛胶州湾大桥形变监测与分析

为解决SBAS-InSAR技术在获取水汽饱和度较高的海滨城市地表形变信息受大气影响严重的问题，选用23景Sentinel-1A SAR影像数据，联合时序SBAS-InSAR技术与GACOS大气校正模型，监测得到2021年1月—2022年6月青岛胶州湾大桥的地表形变信息；利用线性模型和线性-温度模型分析了其形变特征及其温度影响。结果表明，桥梁整体的形变速率在可控范围之内，其地表形变过程是非线性的，与平均温度变化有较高的相关关系，线性-温度模型拟合的地表形变过程与联合时序SBAS-InSAR技术与GACOS大气校正模型监测的地表形变过程具有较高一致性，表现出了季节性变化规律。

Deformation Monitoring and Analysis of Qingdao Jiaozhou Bay Bridge by Combining Time-Series SBAS-InSAR and GACOS

In order to solve the problem of the SBAS-InSAR technique being seriously influenced by the atmosphere in the acquisition of surface deformation information of seaside cities with high water vapor saturation, 23 scenes of Sentinel-1A SAR image data are selected, and the surface deformation information of Qingdao Jiaozhou Bay Bridge is monitored from January 2021 to June 2022. The combination of the time-series SBAS-InSAR technique with the GACOS atmospheric correction model is utilized. The deformation characteristics of the bridge and its temperature effects are analyzed using the linear model and linear-temperature model. It is observed that the overall deformation rate of the bridge is within the controllable range. The surface deformation process is nonlinear and exhibits a high correlation with the mean temperature variation. The surface deformation process, which is fitted by the linear-temperature model, is found to be in high agreement with the surface deformation process monitored by the combined time-series SBAS-InSAR technique and GACOS atmospheric correction model, a seasonal variation pattern is demonstrated.