Monitoring of excavation slopes of mountainous expressways based on time series InSAR technology
李如仁苏宇祺
LI Ruren;SU Yuqi
沈阳建筑大学交通与测绘工程学院沈阳建筑大学土木工程学院
针对传统人工水准监测风险高、难度大的问题,以本桓高速公路挖方边坡为例,提出一种利用SBAS-InSAR与PS-InSAR相结合的技术对挖方边坡进行形变监测。首先,采用SBAS-InSAR技术处理2023年4月—2024年1月获取的22景Sentinel-1A数据,生成小基线差分干涉对,反演得出边坡形变值与形变趋势。然后,选取相同监测时间的水准点测量结果与PS点进行验证,并通过灰色关联度分析降雨量与边坡形变的关联度。监测结果显示,边坡沉降速率集中在10.15~30.27mm/a,沉降分析结果显示此路堑边坡整体较为稳定,时序InSAR相对水准测量具有全天时、全天候、全维度的特点,并具有可回溯性,表明时序InSAR技术对山区高速公路挖方边坡监测具有可行性与可靠性,确保高速公路挖方边坡安全稳定。
To address the problems of high risk and difficulty of traditional artificial level monitoring, this study proposed a deformation monitoring of excavated slopes by using a combination of SBAS-InSAR and PS-InSAR technology with Benxi-Huanren Expressway excavated slopes as the engineering background. Firstly, the SBAS- InSAR technology was used to process scenes of Sentinel-1A data acquired from April to January to generate small baseline differential interferometric pairs. After inversion, the slope deformation values and deformation trends were obtained. Secondly, the level measurement results at the same monitoring time were selected to verify with the PS points. The correlation between rainfall and slope deformation was analyzed by grey correlation. The monitoring results show that the slope settlement rate is concentrated in the range of 10.15~30.27 mm/a. The settlement analysis results show that the overall stability of the graben slope is relatively stable.With all-time, all- weather, all-dimension, and traceable relative level measurements, the time-series InSAR technology has feasibility and reliability in the excavated slopes of highways in mountainous areas, thus ensuring the safety and stability of the excavated slopes of highways.
道路工程边坡监测短基线子集(SBAS-InSAR)技术永久散射体的干涉测量(PS-InSAR)技术沉降预测灰色关联分析
road engineering;slope monitoring;small baseline subset interferometric synthetic aperture radar (SBAS-InSAR) technology;persistent scatterer interferometric synthetic aperture radar(PS-InSAR) technology;settlement prediction;gray correlation analysis
主办单位:煤炭科学研究总院有限公司 中国煤炭学会学术期刊工作委员会