Spatiotemporal Patterns of Ground Deformation in the Beijing Plain Under the South-to-North Water Diversion Project: Integrating InSAR and ICA

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Authors: Yunxiao Liu, Mingliang Gao, Huili Gong, Min Shi, Beibei Chen, Yujia Han, Huayu Guan, Jie Wang, Jiatian Sui, Zheng Chen
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References: 28

Abstract

Following adjustments in regional water resource management policies and changes in hydrogeological conditions, significant shifts have occurred in Beijing’s water consumption patterns, which have effectively mitigated land subsidence and triggered a trend of ground rebound. This study systematically analyzed the spatiotemporal characteristics and transition mechanisms of ground deformation (subsidence-rebound) driven by water consumption changes, integrating InSAR, ICA (independent component analysis), and regional hydrogeological data. InSAR time-series analysis derived 2015–2023 Beijing Plain deformation data, with ICA identifying key drivers, supported by hydrogeological interpretation. Three primary patterns emerged: (1) quasi-linear subsidence from persistent deep groundwater overextraction; (2) rebound from Chaobai River basin engineered recharge; (3) “subsidence-to-rebound” dynamics due to reduced shallow groundwater extraction and enhanced precipitation infiltration. The results indicate that a regional rebound emerged 5.5 years after the initiation of the South-to-North Water Diversion Project (SNWDP), which quantifies, for the first time, the direct temporal lag between the initiation of water diversion and the geomechanical deformation response. ICA further revealed that deformation asymmetry (subsidence trend slope > rebound trend slope) correlates with aquifer lithology (clay vs. sand-gravel layers). The results offer a scientific framework for urban groundwater management and subsidence mitigation, not only in Beijing but also in analogous regions globally, highlighting a paradigm shift in ground deformation dynamics under integrated water governance.

Fields of Study & Subjects

Synthetic Aperture Radar (SAR) Applications and Techniques Remote Sensing and Land Use Landslides and related hazards

Publication details

Journal / source
Remote Sensing
Volume
18
Issue
7
Pages
1077–1077
Publication date
3 April 2026
Language
EN