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基于时序InSAR技术的山区高速公路挖方边坡监测

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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10.15~30.27 mm/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.
Monitoring of excavation slopes of mountainous expressways based on time series InSAR technology
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 22 scenes of Sentinel-1A data acquired from April 2023 to January 2024 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.

road engineeringslope monitoringsmall baseline subset interferometric synthetic aperture radar(SBAS-InSAR)technologypersistent scatterer interferometric synthetic aperture radar(PS-InSAR)technologysettlement predictiongray correlation analysis

李如仁、苏宇祺

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沈阳建筑大学 交通与测绘工程学院,辽宁 沈阳 110168

沈阳建筑大学 土木工程学院,辽宁 沈阳 110168

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

2024

山东科技大学学报(自然科学版)
山东科技大学

山东科技大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.437
ISSN:1672-3767
年,卷(期):2024.43(6)