顾及季节性失相干效应的长大铁路沿线MT-InSAR地表沉降监测

doi:10.13474/j.cnki.11-2246.2026.0715

摘要/Abstract

摘要： [目的] 针对时序InSAR方法在长大铁路沿线沉降监测中低相干区域信息缺失与整体精度难以保证的技术难题,本文提出一种优化干涉组合策略的增强型长时序MT-InSAR地表沉降监测方法。[方法] 选取途经华北平原不均匀沉降漏斗区的石家庄—黄骅港在建城际铁路设计区段为典型研究区,利用2019年1月至2022年1月获取的91景Sentinel-1A SAR影像,提取并分析了石家庄—黄骅港城际铁路沿线的地面沉降速率与累计沉降时间序列。[结果] 结果表明,铁路沿线小里程段存在显著的不均匀地面沉降,3年累计沉降最大值突破90 mm。与铁路精测网水准观测的对比校验表明,本文方法所提取的沉降信息具有较高的精度与可靠性,重点观测点位的均方根误差为2.02 mm。[结论] 本文方法及分析成果可为石家庄—黄骅港城际铁路的安全运营保障和途经区域衡水市、沧州市的地表沉降防治应用及相关领域研究提供参考。

关键词: 石家庄—黄骅港城际铁路, 季节性失相干, 增强型MT-InSAR, 地表沉降, Sentinel-1A

Abstract: [Purposes] To address the technical challenges of information loss in low-coherence areas and the difficulty in ensuring overall accuracy in time-series InSAR monitoring along lengthy railways,this paper proposes an enhanced long time-series MT-InSAR method based on an optimized interferometric combination strategy. [Methods] The design section of Shijiazhuang—Huanghua port intercity railway (under construction),which passes through the uneven subsidence funnel area of the North China Plain,was selected as a typical study area.Utilizing 91 Sentinel-1A SAR images acquired from January 2019 to January 2022,the ground subsidence rates and cumulative subsidence time series along the railway were extracted and analyzed. [Findings] It is found that significant uneven ground subsidence exists along the small mileage section of the railway,with the maximum cumulative settlement in three years reached 90 mm.The root mean square error with the levelling results is 2.02 mm,which indicates that the settlement information extracted from this paper's method is of high accuracy and reliability. [Conclusions] It also offers a solid research foundation for the safety operation of the Shijiazhuang—Huanghua port intercity railway and the ground subsidence prevention efforts in Hengshui and Cangzhou cities.

Key words: Shijiazhuang—Huanghua port intercity railway, seasonal decoherence, enhanced MT-InSAR, ground subsidence, Sentinel-1A

中图分类号:

P258

于来波, 王丽君, 江航, 张瑞, 刘国祥. 顾及季节性失相干效应的长大铁路沿线MT-InSAR地表沉降监测[J]. 测绘通报, 2026, 0(7): 104-110.

Yu Laibo, Wang Lijun, Jiang Hang, Zhang Rui, Liu Guoxiang. MT-InSAR surface subsidence monitoring along railway lines considering seasonal decoherence effect[J]. Bulletin of Surveying and Mapping, 2026, 0(7): 104-110.

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链接本文: http://tb.chinasmp.com/CN/10.13474/j.cnki.11-2246.2026.0715

http://tb.chinasmp.com/CN/Y2026/V0/I7/104

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