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基于SBAS-InSAR技术的膨胀土边坡变形失稳特征

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针对传统现场监测手段造价高、易损坏且难以复现边坡整体区域形变历史的不足,引入SBAS-InSAR技术获取试验边坡大面积整体时序形变结果,探究膨胀土边坡在降雨入渗条件下的变形失稳规律.选取昭通西环高速公路膨胀土路堑边坡为试验区域;对覆盖该区的31景Sentinel-1A SAR影像开展前期差分干涉处理、高相干点选取、相位解缠、时序形变建模和总形变生成;获取了研究区域为期28个月的整体面状形变结果,还原了该膨胀土路堑高边坡从开挖到支护再到滑塌的变形全过程,揭示了其历史失稳变形特征.结果表明:边坡区域最大累计沉降为198 mm,坡顶、坡中和坡脚特征点的时序沉降曲线可分为4个阶段;利用水准测量结果进行了精度验证,得出内符合精度为±2.9 mm,外部精度为±1.5 mm;结合降雨量数据分析得出边坡变形破坏具有浅层性、阶段性、蠕变性、滞后性、季节性等特征,且在单日降雨量不超过15mm 的情况下,特征点沉降呈现沉降速率变缓或小幅度抬升.本研究将SBAS-InSAR技术用于膨胀土公路边坡滑坡形变灾后重建,拓宽了 InSAR技术应用领域,也为膨胀土边坡失稳早期识别提供了一种新型遥感监测手段.
Deformation Instability Characteristics of Expansive Soil Slope Based on SBAS-InSAR Technique
Aiming at the shortcomings of traditional field monitoring means,which are costly,easy to damage and difficult to recover the overall regional deformation history of slopes,the new remote sensing ground observation technique SBAS-InSAR was used in this study to obtain the overall time-series deformation results of a large area of experimental slopes.The deformation and instability patterns of expansive soil slopes under rainfall infiltration conditions were explored.The expansion soil cutting slope of Zhaotong West Ring Expressway was selected as the experimental area,in which 31 Sintinel-1A SAR images were dealt with pre-differential interference processing,high coherence point selection,phase unwrapping,time-series deformation modeling and final deformation generation.The deformation results before and after the slope collapse were obtained.The whole deformation process of expansive soil cutting high slope from support to collapse was reconstructed.The characteristics and mechanism of the instability deformation were analyzed.The result indicates that the maximum cumulative settlement at slope area is 198 mm.The time-series subsidence curves of characteristic points of slope top,middle and foot can be divided into 4 stages.The accuracy validation is carried out by using leveling result.The inner and external accuracies are estimated as±2.9 mm and±1.5 mm respectively.Combined with the rainfall data analysis,the slope deformation and failure are characterized by shallow,phased,creep,hysteresis and seasonality.When the daily rainfall is less than 15 mm,the subsidence rates of feature points show the slow or slightly uplift characteristics.In this study,the SBAS-InSAR technique is used for post-disaster reconstruction of landslide deformation on expansive soil highway slopes,broadening the application field of InSAR technique,and providing new types of remote sensing monitoring means for the early identification of expansive soil slope instability.

intelligent transportexpansive soilSBAS-InSAR techniqueslope monitoringdeformation instability

赵勇、张锐、邢学敏、凌时光、郑冠峰

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昭通昭阳绕城高速公路投资开发有限公司,云南 昭通 657099

长沙理工大学 交通运输工程学院,湖南 长沙 410114

长沙理工大学 道路灾变防治及交通安全教育部工程研究中心,湖南 长沙 410114

智能交通 膨胀土 SBAS-InSAR技术 边坡监测 变形失稳

2024

公路交通科技
交通运输部公路科学研究院

公路交通科技

CSTPCD北大核心
影响因子:1.007
ISSN:1002-0268
年,卷(期):2024.41(8)