1.苏州科技大学地理科学与测绘工程学院,江苏 苏州,215009
2.长江空间信息技术工程有限公司(武汉),湖北 武汉,430010
3.中国三峡建工(集团)有限公司,四川 成都,610000
王鹏,博士,副教授,研究方向为精密工程测量与变形监测技术。geomaticpeter@vip.qq.com
收稿:2025-05-15,
纸质出版:2026-07-05
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王鹏,史波,张斌,等.短时间基线集GB-InSAR白鹤滩特高拱坝坝面变形监测应用[J].武汉大学学报(信息科学版),2026,51(7):1440-1451.
WANG Peng,SHI Bo,ZHANG Bin,et al.Deformation Monitoring of the Baihetan Ultra-High Arch Dam Surface Using Short Temporal Baseline Subset GB-InSAR[J].Geomatics and Information Science of Wuhan University,2026,51(7):1440-1451.
王鹏,史波,张斌,等.短时间基线集GB-InSAR白鹤滩特高拱坝坝面变形监测应用[J].武汉大学学报(信息科学版),2026,51(7):1440-1451. DOI:10.13203/j.whugis20250043
WANG Peng,SHI Bo,ZHANG Bin,et al.Deformation Monitoring of the Baihetan Ultra-High Arch Dam Surface Using Short Temporal Baseline Subset GB-InSAR[J].Geomatics and Information Science of Wuhan University,2026,51(7):1440-1451. DOI:10.13203/j.whugis20250043
常规大坝变形监测方法能够反映典型坝段和高程的变形情况,但测点密度不足,容易遗漏重要部位。地基合成孔径雷达干涉测量(ground-based synthetic aperture radar interferometry,GB-InSAR)技术为坝面区域性变形监测提供了有效手段。但由于受到大气扰动的严重制约,单主影像时序分析方法在长时序监测应用中难以获得理想的解算结果。针对这一问题,对时序GB-InSAR技术进行了改进,选取气象变化平稳时段的连续影像计算平均影像序列,据此构建短时间基线干涉对,利用稳定区域高质量像元(high quality pixel,HQP)的解缠相位进行干涉图大气建模和改正,进而反演变形序列。将所提方法应用于白鹤滩特高双曲拱坝的长时序变形监测,在准确识别坝面区域HQP的基础上,对时序GB-InSAR和传统垂线+水准的监测结果进行了对比分析。结果表明,除受深孔旁瓣效应影响区域外,两种方法在多个垂线测点处符合程度较高,均方根误差达到2 mm左右。短时间基线时序GB-InSAR能够克服近水区剧烈的大气环境变化干扰,解决日波变形同大气相位混杂的问题,可实现长期坝面变形的高精度测量,为高拱坝安全分析和结构变形解译提供重要技术支撑。
Objectives
2
The conventional dam deformation monitoring method has been demonstrated to be capable of reflecting the displacement of typical dam sections and elevations. However
the density of measuring points is often inadequate
with important parts consequently being missed. Ground-based synthetic aperture radar interferometry (GB-InSAR) has emerged as an effective means of monitoring regional deformation of dam surfaces. Nevertheless
the precision of long-term sequential monitoring is frequently compromised by atmospheric disturbances
which significantly impede the ability to obtain reliable deformation measurements through single-master time series InSAR analysis.
Methods
2
In order to address this issue
improvements were made to the GB-InSAR time series technology. The optimized approach used continuous imagery acquired during periods of stable meteorological conditions to compute average image sequences
which were then used to construct short temporal baseline interferometric pairs. Atmospheric phase correction was then applied to the interferograms using high-quality pixel (HQP) identified in stable regions
enabling precise deformation inversion. The proposed method was applied to the long-term deformation monitoring of the Baihetan ultra-high hyperbolic arch dam. A comparative analysis was conducted between the time-series GB-InSAR results and the traditional monitoring method
based on the accurate identification of HQP across the dam surface.
Results
2
Except for localized regions affected by the sidelobe effect of deep outlets
the deformation sequences derived from both methods at multiple plumbline observation sites exhibit a high degree of consistency
with root mean square error values of approximately 2 mm. Furthermore
the deformation center of the dam
as identified by the GB-InSAR technique
is located at the top of the 16th dam section
which is consistent with the results obtained from numerical simulations.
Conclusions
2
The proposed method has the capacity to overcome the interference of severe atmospheric variations in near-water regions and address the issue of diurnal deformation signals being mixed with atmospheric phases in GB-InSAR
which facilitates high-precision measurements of long-term dam surface deformation. The approach provides critical technical support for safety analysis and structural deformation interpretation of high arch dams.
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