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引用本文:

DOI:

10.11834/jrs.20211246

收稿日期:

2021-04-26

修改日期:

2021-09-17

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基于时序InSAR的郑州地铁沿线地面沉降分析
叶勇超1, 闫超德1,2, 罗先学3, 张瑞峰1, 袁观杰1
1.郑州大学 水利科学与工程学院;2.郑州大学 黄河生态保护与区域协调发展研究院;3.郑州市规划勘测设计研究院
摘要:

针对郑州市地铁网络缺少长时间序列的地面沉降研究,本文基于PS-InSAR(Persistent Scatterers Interferometric Synthetic Aperture Radar,永久散射体合成孔径雷达干涉测量)技术生成的长周期地面沉降数据分析了郑州市地铁沿线地面沉降的时空特征,并通过反距离内插等距化处理,基于LSTM(Long Short-Term Memory,长短期记忆网络)模型对典型地铁站点地面沉降进行了预测与分析。研究结果表明:空间上,沉降路段主要集中在1号线和5号线的东段,最大沉降速率超过20 mm/y,且1号线沿线不均匀形变较为突出;时间上,不同区域PS点在时间序列上的变化有较大不同,沉降槽中心处沉降呈逐年扩大趋势。实验表明LSTM模型具有较高的预测精度,预测发现1号线市体育中心站南边河南省档案馆新馆北侧未来两年里仍将以大约0.5 mm/月的速率继续沉降,有必要对该站及其附近继续监测。

Analysis of ground subsidence along Zhengzhou metro based on time series InSAR
Abstract:

As a mega city in central China, Zhengzhou is in the period of large-scale metro construction. The problem of ground subsidence along metro lines is also quietly occurring during metro construction and operation. The monitoring and analysis of ground subsidence along metro lines have been important work to ensure the safety of metro operation. However, there are a lack of long-time series ground subsidence researches on Zhengzhou metro network. The permanent scatterers interferometry interferometric synthetic aperture radar (PS-InSAR) technology overcomes many shortcomings of traditional ground subsidence monitoring methods, such as high cost, limited monitoring range and points, difficulties in long-term monitoring, etc. Therefore, PS-InSAR technology is applied to monitor subsidence of Zhengzhou metro network in this paper. 35 Envisat ASAR images and 44 sentinel-1 images were used to obtain the surface deformation information of Zhengzhou city from February 2005 to October 2010 and from July 2015 to May 2019 based on PS-InSAR technology. On this basis, through extracting PS points in a certain range on both sides of the metro lines, the temporal and spatial characteristics of ground subsidence along Zhengzhou metro were analyzed by means of statistical analysis, profile analysis and overlay analysis. Aiming at the unequal time interval of ground subsidence time series data caused by SAR images discontinuity, an equidistant processing method based on inverse distance interpolation was proposed, and the subsidence of typical metro station was predicted and analyzed based on long short-term memory (LSTM) model. The results show that the subsidence sections are mainly concentrated in the east of line 1 and line 5, the maximum subsidence rate is more than 20 mm / y, and the maximum cumulative subsidence is about 80 mm. The overall deformation trend of line 1 is similar to a parabola, and the uneven deformation is more prominent. The changes of PS points in time series are quite different in different regions. The subsidence trough near the Henan Orthopedic Hospital station of line 5 is basically symmetrical in space, and the subsidence at the center is expanding year by year. The experiments show that LSTM model has high prediction accuracy, and the prediction results find that the north of the New Archives of Henan Province located in the south of Zhengzhou Sports Center station will continue to settle at a rate of about 0.5 mm / month in the next two years. It is necessary to continue monitoring the station and its vicinity. This study confirms that PS-InSAR technology can meet the application needs of large-scale urban ground subsidence monitoring, and the results provide a scientific basis for continuous dynamic monitoring of ground subsidence along Zhengzhou metro network and metro maintenance.

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