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基于PS-InSAR技术的连盐高铁灌河特大桥形变监测与分析 被引量:4

Deformation Monitoring and Analysis of Guanhe Bridge on Lian-Yan High-speed Railway Based on PS-InSAR Technology
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摘要 桥梁形变监测对发现桥梁安全隐患,避免桥梁安全事故发生具有重要意义。与传统桥梁监测方法相比,永久散射体合成孔径雷达干涉测量(Permanent Scatter Synthetic Aperture Radar Interferometry,PS-InSAR)技术以其监测成本低、监测范围广、监测精度高和非接触等优势,在大范围桥梁形变监测中具有潜在优势。以连盐高铁灌河特大桥为研究对象,利用时间跨度为2018年1月至2020年12月的89景C波段中分辨率Sentinel-1A数据,使用PS-InSAR技术提取灌河特大桥的形变信息,并将监测结果与同期北斗(BeiDou Navigation Satellite System,BDS)观测数据进行比较。结果表明:在监测时间段内,灌河特大桥形变速率范围为1.7~5.3 mm/a,时序形变平均值趋近0,桥梁整体保持稳定;PS-InSAR和BDS对比结果的均方根误差在6 mm之内,二者取得了较好的一致性。研究结果证实了C波段中分辨率Sentinel-1A数据监测大跨度刚桁梁柔性拱桥的可行性,可为桥梁的风险管理和灾害预警提供参考依据。 Bridge deformation monitoring is important to detect hazards and avoid safety accidents.Compared with traditional bridge monitoring methods,Permanent Scatter Synthetic Aperture Radar Interferometry(PS-InSAR) technology has the capability to monitor bridge deformation over wide areas due to its advantages of low monitoring cost,large monitoring range,high monitoring accuracy and non-contact.This paper takes the Guanhe Bridge on the Lianyungang-Yancheng High-speed Railway as an example,using PS-InSAR technology to process 89 scenes C-band Sentinel-1A data with medium resolution acquired during January 2018 and December 2020,and the results are compared with the data of continuous BeiDou Navigation Satellite System(BDS) monitoring station during the same period.The results show that deformation velocity of the Guanhe Bridge ranges from 1.7 mm/a to 5.3 mm/a,the average value of time-series deformation approaches 0,and the overall performance of bridge is stable during the monitoring period.The root mean square error between the PS-InSAR and the BDS is within 6mm,which shows that the two have achieved good consistency.The research results confirm that the C-band Sentinel-1A data with medium resolution can be used to monitor the long span bridges with steel truss girder and flexible arch,and can provide a reference for risk management and disaster warning of bridges.
作者 吴星乐 罗海滨 WU Xingle;LUO Haibin(School of Remote Sensing&Geomatics Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China)
出处 《铁道标准设计》 北大核心 2023年第11期100-105,133,共7页 Railway Standard Design
基金 国家自然科学基金项目(41571350)。
关键词 PS-INSAR 连盐高铁 灌河特大桥 形变监测 北斗导航系统 PS-InSAR Lianyungang-Yancheng High-speed Railway Guanhe Bridge deformation monitoring BeiDou navigation satellite system
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