动静载荷作用下基于压缩感知域InSAR时间序列分析监测京津高铁沿线地面沉降

????.The project of Beijing-Tianjin inter-city high speed railway plays an important role in the two major cities of China.The stability of the geological environment is important for the safe operation of the high speed railway. The uneven subsidence of foundation,combined with the static load of crowded buildings and the dynamic load from high speed train will probably cause the deformation of the roadbed, which poses significant risks to the high speed railway. It is well known that a tiny deformation of the rail will cause serious consequences. So to maintain the safety operation of the high speed railway, the continuous monitoring of land subsidence along high speed railway is very important...In this project, taking the area along the Beijing-Tianjin inter-city high speed railway as the study area, combing common approach of leveling and GPS measurement, a new method of monitoring of land subsidence along jingjin high speed railway using InSAR time series analysis under static-dynamic loading in compressive sensing field with high resolution TerraSAR-X data is explored. A general parametrization of time-dependent land subsidence along high speed railway with the aid of static-dynamic loading is constructed, the complete interferogram noise covariance is modeled and analyzed in compressive sensing field to obtain the rapid and robust solution of the estimation of land subsidence field. ..The project has important academic significance and practical value to provide a reliable scientific basis for safety operation and maintainence of high speed railway.

城际高速铁路的安全运营对沿线地理环境和地质条件要求较为严苛，区域地面不均匀沉降、城市密集建筑群的静载荷及城际高铁动载荷等多种因素综合影响之下，会引起路基等构筑物产生变形沉降而构成风险。本课题针对京津高速铁路沿线，结合常规水准测量与GPS测量方法，以高分辨率TerraSAR-X影像为数据源，探索动静载荷作用下采用压缩感知域InSAR时序分析提取高铁沿线地面沉降时空信息的新方法，构建面向高铁监测的时变性地面沉降参数化模型，推导基于压缩感知域的干涉图集数据协方差建模分析与沉降模型稳健快速求解算法，以获取多方位、高精度的高铁沿线灾害性地面沉降位移场监测信息，为保障高速铁路安全运营提供可靠的科学依据，进而实施可行的维护手段，具有重要的理论及应用价值。

区域地面不均匀沉降、城市密集建筑群的静载荷及城际高铁动载荷等多种因素综合影响之下，会引起路基等构筑物产生变形沉降而对城际高速铁路的安全运营构成风险。本课题选取京津高速铁路沿线为研究区，联合采用多平台高分辨率TerraSAR-X影像及中等分辨率Envisat ASAR影像，研究突破常规模型中仅考虑线性形变速率的局限，用特定的参数来描述各种导致地面沉降的过程，构建出动静载荷作用下面向高铁沿线监测的时变性地面沉降参数化模型；提出新的相位质量图指导下的干涉图滤波方法来滤除相位噪声，提高干涉图质量以及后续相位解缠质量；研究分析干涉图集的误差组分并探究干涉图集数据协方差的模型，实现对干涉图集噪声组分的统一建模及分析；在压缩感知框架下，探索对干涉图集进行稀疏多尺度分解方案，构建基于稀疏多尺度变换域的时变性地面沉降模型稳健快速求解算法；进一步融合多平台升、降轨SAR数据的形变监测结果以获取三维地表形变场信息。本课题的研究方法可提供多方位、高精度的高铁沿线灾害性地面沉降位移场监测信息，为保障高速铁路安全运营提供可靠的科学依据，具有重要的现实意义及价值。