联合InSAR与PCA的北京平原地面沉降时空分析

doi:10.3964/j.issn.1000-0593(2022)07-2315-10

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Abstract Since the 1970s, uneven ground subsidence caused by groundwater overdraft and uneven thickness of compressible layers has gradually developed into one of the most serious geological hazards in Beijing Plain. There are few research reports on the temporal and spatial analysis of land subsidence in the latest period in Beijing Plain. Therefore, this paper used SBAS-InSAR technology to obtain the ground deformation data of the Beijing Plain from May 2017 to May 2020 based on 39 Sentinel-1A spectral images acquired by active microwaves. The principal component analysis method was used to analyse land subsidence’s temporal and spatial characteristics in the Beijing Plain. In the SBAS-InSAR technology processing, the time baseline was set to 120 days, and the threshold of the space baseline was set to 45% of the maximum normal baseline, and 154 interference pairs were generated, and then all interference pairs were registered and interfered. After the interference, the results were flattened, Goldstein flattening for filtering, generated coherence coefficient and used minimum cost flow algorithm for phase unwrapping. The 73 high-quality interference pairs were screened for orbit refinement and re-leveling to estimate and remove the residual phase. The atmospheric phase was removed through temporal high-pass filtering and spatial low-pass filtering. Finally, the least-squares method and singular value decomposition were used to obtain land subsidence data of the Beijing Plain from May 2017 to May 2020. During the monitoring period, the maximum average deformation rate was -114.9 mm·yr^-1, and the maximum cumulative subsidence was 345.9 mm. which was located in Chaoyang Jinzhan. Compared with 2018, the ranges where the settlement rate of the central plain decreased by exceeding 50 mm·yr^-1 in 2019 in the Haidian District, Changping district, but the settlement rate range of Daxing District was gradually increasing. It analysed the land subsidence of the Beijing Plain by using the principal component analysis method. It was concluded that the first three principal components explained 99.11% of the data characteristics. The first principal component explained 96.48% of the characteristics, reflecting the long-term and unrecoverable process of groundwater subsidence caused by long-term groundwater extraction. However, the replenishment of groundwater by the South Water entering Beijing slowed down the settlement rate in the central plain. The second principal component explained the 2.11% feature, highlighting the interannual settlement process, which was related to factors such as the thickness of the compressible layer and the type of land use; The third principal component explained 0.52% of the characteristics of the data set and emphasized the seasonal elastic deformation regulated by rainfall. The research results of this paper can provide a certain scientific basis for the comprehensive management of land subsidence in the Beijing Plain.

Key words：Beijing Plain;SBAS-InSAR;Land subsidence;Principal component analysis;South water into Beijing

Received: 2021-06-30 Accepted: 2021-08-31

ZTFLH:

X87

Corresponding Authors: HE Yi E-mail: heyi8738@163.com

Cite this article:

HE Xu,HE Yi,ZHANG Li-feng, et al. Spatio-Temporal Analysis of Land Subsidence in Beijing Plain Based on InSAR and PCA[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(07): 2315-2324.

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https://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2022)07-2315-10 OR https://www.gpxygpfx.com/EN/Y2022/V42/I07/2315

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