基于InSAR技术的黄土填土地基变形特征及影响因素

IF 6.9 1区工程技术 Q1 ENGINEERING, GEOLOGICAL

Engineering Geology Pub Date : 2025-04-28 DOI:10.1016/j.enggeo.2025.108098

Siyuan Ren, Haiman Wang, Wankui Ni, Anzhi Shen

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引用次数: 0

摘要

地面沉降是世界上一些地区常见的城市地质灾害。黄土填土地基在地质力学和渗流双重作用下，沉降问题更为复杂。利用2023年4月~ 2024年10月21幅sentinel - 1a上升雷达影像对陕西省黄土填土基础进行监测。为了最大限度地减少轨道相位和剩余地平相位带来的误差，本研究将PS-InSAR技术与三阈值法相结合，改进了SBAS-InSAR处理工作流程，从而探索黄土填方基础的时间序列变形。与传统的SBAS-InSAR技术相比，改进的SBAS-InSAR技术提供了与水准数据更加一致的变形时序结果，有效地捕捉了填土基础的变形特征。利用地理信息系统（GIS）空间分析技术和统计方法，对研究区地表变形的总体特征和时空演变进行了分析。另一方面，结合室内试验和工程地质资料，探讨了研究区沉降的主要驱动因素。结果表明，沉降中心逐渐向最大充填深度区域偏移。此外，在研究区内还观察到两个方向的不均匀沉降。建筑基础施工引起的填土深度和土体性质的差异是导致地基沉降不均匀的主要因素。地表水入渗对地基变形也有正向和负向影响。本研究将遥感与工程地质资料相结合，为黄土填土地基沉降的准确监测和预测提供科学依据。为区域基础设施建设和地质灾害防治提供了实践指导。

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Deformation characteristics and influencing factors of loess fill foundation based on InSAR technique

Ground subsidence is a common urban geological hazard in several regions worldwide. The settlement of loess fill foundations exhibits more complex subsidence issues under the coupled effects of geomechanical and seepage-driven processes. This study selected 21 ascending Sentinel-1 A radar images from April 2023 to October 2024 to monitor the loess fill foundation in Shaanxi, China. To minimize errors caused by the orbital phase and residual flat-earth phase, this research combined PS-InSAR technology with the three-threshold method to improve the SBAS-InSAR processing workflow, thereby exploring time-series deformation of the loess fill foundation. Compared with conventional SBAS-InSAR technology, the improved SBAS-InSAR technique provided more consistent deformation time-series results with leveling data, effectively capturing the deformation characteristics of the fill foundation. Additionally, geographic information system (GIS) spatial analysis techniques and statistical methods were employed to analyze the overall characteristics and spatiotemporal evolution of the ground surface deformation in the study area. On the other hand, the major drivers of the subsidence in the study area were also discussed based on indoor experiments and engineering geological data. The results showed gradual and temporal shifts of the subsidence center toward areas with the maximum fill depths. In addition, two directions of uneven subsidence were observed within the fill foundation study area. The differences in the fill depth and soil properties caused by the building foundation construction were the main factors contributing to the uneven settlement of the foundations. Foundation deformation was also positively and negatively affected by surface water infiltration. This study integrates remote sensing and engineering geological data to provide a scientific basis for accurately monitoring and predicting loess fill foundation settlement. It also offers practical guidance for regional infrastructure development and geological hazard prevention.

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来源期刊

Engineering Geology 地学-地球科学综合

CiteScore

13.70

自引率

12.20%

发文量

327

审稿时长

5.6 months

期刊介绍： Engineering Geology, an international interdisciplinary journal, serves as a bridge between earth sciences and engineering, focusing on geological and geotechnical engineering. It welcomes studies with relevance to engineering, environmental concerns, and safety, catering to engineering geologists with backgrounds in geology or civil/mining engineering. Topics include applied geomorphology, structural geology, geophysics, geochemistry, environmental geology, hydrogeology, land use planning, natural hazards, remote sensing, soil and rock mechanics, and applied geotechnical engineering. The journal provides a platform for research at the intersection of geology and engineering disciplines.