Long-time surface deformation in Beijing, China for three decades by multi-sensor, multi-track and multi-temporal InSAR seamless connection

Due to excessive groundwater exploitation, the Beijing Plain (BJP) has experienced severe land subsidence for decades, threatening infrastructure. In this article, a multi-sensor, multi-track and multi-temporal SAR interferometry data seamless connection algorithm (termed by 3MSC-InSAR algorithm) is proposed, and applied to C-band ERS (1992-2003) and ENVISAT (2003-2010) datasets in descending track, as well as X-Band TerraSAR-X (2010-2015) and C-Band Sentinel-1 (2015-2022) datasets in ascending track to achieve a seamless connection and spatiotemporal benchmark unification of InSAR deformation monitoring in the BJP for 30 years. Validated by GNSS data, the algorithm shows high accuracy (RMSEs: 6.2 mm, 4.8 mm, 11.7 mm). The BJP exhibited multiple settlement funnel centers, with a maximum deformation of 1.5 m. Independent Component Analysis (ICA) identified three spatiotemporal components: S-type (IC1), acceleration (IC2), and rebound (IC3). IC1 reflected the full subsidence cycle, including slow, accelerated, and mitigated phases. From 1992 to 2015, subsidence was driven by geological factors, water supply, and excessive groundwater extraction. After 2015, subsidence reduction and local rebound occurred due to Beijing’s groundwater exploitation ban and the South-to-North Water Diversion Project, which replenished deep groundwater levels. This study highlights the dual influence of human activities and natural factors on land subsidence evolution.

Authors

Institutions

Publication Details

Journal
Geomatics Natural Hazards and Risk
Published
2025-03-18
DOI
https://doi.org/10.1080/19475705.2025.2478950
Citations
5
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
Field-Weighted Citation Impact
24.97
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Long-time surface deformation in Beijing, China for three decades by multi-sensor, multi-track and multi-temporal InSAR seamless connection

Rong Gui, Qiuhong Yang, Guangli Su, Jun Hu et al.
5 citations
Geomatics Natural Hazards and Risk
Synthetic Aperture Radar (SAR) Applications and Techniques
24.97
article

Long-time surface deformation in Beijing, China for three decades by multi-sensor, multi-track and multi-temporal InSAR seamless connection

Rong Gui, Qiuhong Yang, Guangli Su, Jun Hu, Xing Zhang, Qian Sun
article en
5 citations

Abstract

Due to excessive groundwater exploitation, the Beijing Plain (BJP) has experienced severe land subsidence for decades, threatening infrastructure. In this article, a multi-sensor, multi-track and multi-temporal SAR interferometry data seamless connection algorithm (termed by 3MSC-InSAR algorithm) is proposed, and applied to C-band ERS (1992-2003) and ENVISAT (2003-2010) datasets in descending track, as well as X-Band TerraSAR-X (2010-2015) and C-Band Sentinel-1 (2015-2022) datasets in ascending track to achieve a seamless connection and spatiotemporal benchmark unification of InSAR deformation monitoring in the BJP for 30 years. Validated by GNSS data, the algorithm shows high accuracy (RMSEs: 6.2 mm, 4.8 mm, 11.7 mm). The BJP exhibited multiple settlement funnel centers, with a maximum deformation of 1.5 m. Independent Component Analysis (ICA) identified three spatiotemporal components: S-type (IC1), acceleration (IC2), and rebound (IC3). IC1 reflected the full subsidence cycle, including slow, accelerated, and mitigated phases. From 1992 to 2015, subsidence was driven by geological factors, water supply, and excessive groundwater extraction. After 2015, subsidence reduction and local rebound occurred due to Beijing’s groundwater exploitation ban and the South-to-North Water Diversion Project, which replenished deep groundwater levels. This study highlights the dual influence of human activities and natural factors on land subsidence evolution.

Geomatics Natural Hazards and RiskVol. 16(1)
Central South University (CN), Hunan Normal University (CN), California Earthquake Authority (US), Early Warning (United States) (US), University of Houston (US)
Life below water
Openalex Percentile: Top 1%
Synthetic Aperture Radar (SAR) Applications and Techniques
24.97
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.