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

被引：0

作者：

Ye Y. ^{[1
]}

Yan C. ^{[1
,2
]}

Luo X. ^{[3
]}

Zhang R. ^{[1
]}

Yuan G. ^{[1
]}

机构：

[1] School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou

[2] Yellow River Institute for Ecological Protection & Regional Coordination Development, Zhengzhou University, Zhengzhou

[3] Zhengzhou Urban Planning Design & Survey Research Institute, Zhengzhou

来源：

National Remote Sensing Bulletin | 2022年 / 26卷 / 07期

基金：

中国国家自然科学基金;

关键词：

ground subsidence; LSTM; prediction analysis; PS-InSAR; Zhengzhou metro;

D O I：

10.11834/jrs.20211246

中图分类号：

学科分类号：

摘要：

As a mega city in central China, Zhengzhou is in a period of large-scale metro construction. The problem of ground subsidence along metro lines occurs during metro construction and operation. Thus, monitoring and analysis of ground subsidence along metro lines are important to ensure the safety of metro operation. However, the researches on long-time-series ground subsidence in the Zhengzhou metro network are lacking. Permanent scatterers–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, and difficulties in long-term monitoring. Therefore, PS-InSAR technology is used to monitor the subsidence of the Zhengzhou metro network in this study. 35 Envisat ASAR images and 44 Sentinel-1 images are employed to obtain the surface deformation information of Zhengzhou City from February 2005 to October 2010 and from July 2015 to May 2019 via PS-InSAR technology. By 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 are subjected to statistical, profile, and overlay analyses. To address the unequal time interval of ground subsidence time series data caused by SAR image discontinuity, an equidistant processing method based on inverse distance interpolation is proposed, and the subsidence of a typical metro station is predicted and analyzed using the Long Short-Term Memory (LSTM) model. Results show that the subsidence sections are mainly concentrated in the east of Lines 1 and 5, the maximum subsidence rate is more than 20 mm/a, 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 prominent. The changes in PS points in the time series differ in various 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 yearly. Experiments show that the LSTM model has high prediction accuracy, and the prediction results reveal 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. Hence, the station and its vicinity must be continuously monitored. 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 the continuous dynamic monitoring of ground subsidence along Zhengzhou metro network and metro maintenance. © 2022 Science Press. All rights reserved.

引用

页码：1342 / 1353

页数：11

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