PS-InSAR and UAV technology used in the stability study of Ankang expansive soil airport

Jinzhao Si, Shuangcheng Zhang, Yufen Niu
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Abstract

Expansive soil is a natural geological body with obvious expansion and contraction, multiple fissures and other undesirable properties. The deformation monitoring of expansive soil in high-fill areas under the combined action of wet expansion and dry contraction has become a hotspot of related research. to large-scale soil disasters. Time-series Interferometric Synthetic Aperture Radar (InSAR) technology is widely used in the monitoring of various geological hazards due to its advantages of wide coverage, high monitoring accuracy, and all-weather operation. This study takes Ankang Airport (AKA) expansive soil airport as an example. First, the ground digital elevation model (DEM) of the airport filling area was obtained by using UAV; secondly, the deformation rate and deformation time series of the expansive soil airport were obtained by using the persistent scatterer InSAR (PS-InSAR) technology; third, for the coherence In poor areas, artificial corner reflectors (CR) are arranged to increase stable scattering points; Finally, the deformation time series of feature points are extracted, combined with regional precipitation data analysis, the relationship between the periodic deformation of the airport expansive soil slope and rainfall. There is a subsidence trend along the LOS direction in the dry season, which is consistent with the expansion and contraction characteristics of expansive soils. Finally, the deformation rate is proportional to the depth of the expansive soil fill. It is judged that the existing small surface deformation and its periodic deformation distribution are caused by the combined action of the settlement after construction of the expansive soil filling area and the expansion and contraction characteristics of the expansive soil.
PS-InSAR和无人机技术在安康膨胀土机场稳定性研究中的应用
膨胀土是一种天然地质体,具有明显的膨胀收缩和多裂隙等不良性质。高填区膨胀土在湿胀干缩共同作用下的变形监测已成为相关研究的热点。大规模的土壤灾害。时间序列干涉合成孔径雷达(InSAR)技术以其覆盖范围广、监测精度高、全天候工作等优点被广泛应用于各种地质灾害的监测中。本研究以安康机场(又名膨胀土机场)为例。首先,利用无人机获取机场填充区地面数字高程模型(DEM);其次,利用持续散射InSAR (PS-InSAR)技术获取膨胀土机场的变形速率和变形时间序列;在贫困地区,通过设置人工角反射器(CR)增加稳定散射点;最后,提取特征点的变形时间序列,结合区域降水数据分析,得出机场膨胀土边坡周期性变形与降雨的关系。旱季沿LOS方向有沉降趋势,这与膨胀土的胀缩特性一致。最后,变形速率与填土深度成正比。认为存在的地表小变形及其周期性变形分布是膨胀土填充区施工后沉降与膨胀土的胀缩特性共同作用的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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