基于光学遥感和SBAS-InSAR的川渝输电网滑坡隐患早期识别

Early identification of potential landslides for the Sichuan-Chongqing power grid based on optical remote sensing and SBAS-InSAR

近年来,山区输电网工程遭遇滑坡而导致输电杆塔倒塌、电力中断的事故屡有发生,早期识别滑坡隐患、防患于未然,对于保障电力工程安全具有重要意义。为此,依托川渝输电网工程,采用光学遥感与小基线集(small baseline subset,SBAS)-合成孔径雷达差分干涉测量(interferometric synthetic aperture radar,InSAR)相结合的SBAS-InSAR方法,对川渝输电网沿线区域进行了滑坡隐患点的早期识别。通过对高分辨率光学遥感影像的解译,共识别出电网沿线杆塔附近的滑坡隐患点28处。在此基础上,采用SBAS-InSAR技术针对研究区进行地表形变探测,发现滑坡隐患点27处。上述2种方法共识别出40处滑坡隐患点,其中15处隐患点为2种方法共同识别。最后,通过现场复核、变形迹象及稳定性定性分析,认为7处隐患点对电网杆塔具有威胁而存在风险、其中2处风险较大。该成果对于川渝输电线路的滑坡地质灾害防治具有指导和参考价值。

Power grid projects in mountainous regions have encountered numerous landslides in recent years,leading to collapsed transmission towers and power outages.Hence,early identification of potential landslides is crucial for ensuring the safety of power engineering.For this purpose,this study conducted early identification of potential landslides along the Sichuan-Chongqing power grid based on optical remote sensing and the small baseline subset(SBAS)-interferometric synthetic aperture radar(InSAR)technology.The interpretation of high-resolution optical remote sensing images revealed 28 potential landslide sites near the transmission towers along the power grid.Based on this,this study detected the study area’s surface deformation using the SBAS-InSAR technology,identifying 27 potential landslide sites.Except for 15 repeated results,the above two methods identified a total of 40 potential landslide sites.Finally,through field check and the qualitative analysis of deformation signs and stability,this study determined that seven potential landslide sites threaten the safety of transmission towers,with two of them presenting higher risks.These findings provide valuable guidance and references for the prevention and control of landslides along the Sichuan-Chongqing power grid.