基于InSAR的城市群地表沉降监测与基础设施安全预警研究

以长株潭城市群为研究对象，基于InSAR技术建立传感监测网，采用干涉相位差算法，选取稳定PS候选点构建拓扑网，分析城市群的整体沉降趋势，获得关键目标区域的延迟相位分析结果；采用数值仿真技术建立目标结构的数值模型，导入沉降数据，考虑结构自重、温度、车道荷载等因素分析其应力水平，并与规范容许值对比判定结构安全。结果表明：将InSAR技术与数值仿真技术相结合，可实现城市群地表沉降的大面积监测需要，还可为关键基础设施的安全预警提供新方法和新思路。

Research on Surface Subsidence Monitoring and Infrastructure Safety Early Warning of Urban Agglomeration Based on InSAR

Taking Changsha—Zhuzhou—Xiangtan urban agglomeration as the research object, based on InSAR technology, the sensor detection network is established. the interference phase difference algorithm is used to select stable PS candidate points to build a topological network. The overall settlement trend of urban agglomeration is analyzed, and the delay phase analysis results of the key target areas are obtained. The numerical simulation technology is used to establish the numerical model of the target structure, import the settlement data, analyze the stress level considering the structural self weight, temperature, lane load and other factors, and compare it with the allowable value of the code to determine the structural safety. The results show that the combination of InSAR technology and numerical simulation technology can not only meet the needs of large-area monitoring of surface subsidence of urban agglomeration, but also provide new methods and ideas for the safety early warning of key infrastructure,