InSAR技术在高速公路灾害辅助识别中的应用

为尽可能早地发现并排查出高速公路灾害的隐患点,本文以昆磨高速公路的昆明至玉溪路段为例,首先基于PS-InSAR技术,利用45景Sentinel-1影像获得了研究区域2018—2019年的沉降速率图。然后对沉降严重区域进行横纵断面分析,识别出昆磨高速公路沿线的隐患路段。最后对这些路段的进一步监测提出建议。研究表明,昆磨高速公路沿线总体呈现出较为平缓的沉降趋势,但存在着3个严重沉降区。分别是谢井村和朱井村路段、昆磨高速公路与东绕城高速公路交界处路段,以及昆磨高速公路与晋新公路交界处路段。因此证明了PS-InSAR技术能有效排查高速公路沿线的灾害隐患。

Application of InSAR technology in auxiliary identification of expressway disasters

In order to discover and identify hidden danger points of disasters as early as possible, this article takes the Kunming-Yuxi section of Kunmo expressway as an example. Firstly, based on PS-InSAR technology, and using 45 Sentinel-1 images to obtain the settlement rate map of the study area from 2018 to 2019. Then we use the method of cross-section analysis to analyze the serious settlement area, and identify the hidden trouble sections along the Kunmo expressway. Finally, this article makes some suggestions to further monitor these road sections. Studies have shown that the Kunming expressway generally shows a relatively gentle settlement trend, but there are three severe settlement areas. They are the sections in Xiejing village and Zhujing village, the junction of Kunmo expressway and Dongraocheng expressway, and the junction of Kunmo expressway and Jinxin highway. It prove that PS-InSAR technology can effectively detect hidden hazards along the highway.