Author
Listed:
- Wei Tang
(China University of Mining and Technology
Ministry of Natural Resources)
- Xiangjun Zhao
(China University of Mining and Technology)
- Jing Li
(China University of Mining and Technology)
- Yong Li
(Ministry of Natural Resources
Shaanxi Institute of Geo-Environment Monitoring)
- Siyu Cheng
(China University of Mining and Technology)
- Wei Xiong
(Shanxi Intelligent Transportation Research Institute Co., Ltd)
Abstract
The Fenhe River Basin, a semiarid region in northern China, faces severe land subsidence driven by groundwater overexploitation and underground coal mining, threatening regional sustainability. This study employs multi-temporal Sentinel-1 SAR data (2017–2021) processed through advanced InSAR techniques, integrated with GACOS (Generic Atmospheric Correction Online Service) and CSS (Common Scene Stacking) atmospheric corrections, to generate the first basin-wide deformation map through seamless merging of adjacent satellite tracks. Our analysis reveals three principal deformation regimes: (1) Aquifer-system compaction - widespread subsidence (≤ 81 mm/yr) in agricultural plains, driven by irrigation pumping with seasonal deformation cycles (annual periodicity with 40 mm peak-to-peak amplitude) synchronous with groundwater level fluctuations; (2) Urban aquifer recovery – land uplift signals (≤ 20 mm/yr) in urban areas of Taiyuan and Qingxu, reflecting aquifer recovery from reduced extraction; (3) Mining-induced subsidence - accelerated deformation (≤ 87 mm/yr) in coal-rich mountainous areas, exhibiting abrupt displacement signatures during active extraction phases. The technical innovation of combining model-based (GACOS) and data-driven (CSS) atmospheric corrections proves particularly effective for large-scale InSAR implementation in topographically complex basins. The combined use of GACOS and CSS primarily offers a twofold advantage: (1) enhanced accuracy in atmospheric correction, and (2) mitigation of systematic offsets in deformation measurements within overlapping areas between adjacent satellite tracks. Results validate the success of groundwater management policies in stabilizing aquifer systems while highlighting persistent challenges in agricultural water use depending on groundwater irrigation. This work establishes a replicable monitoring framework for sustainable water resource management in groundwater-dependent basins globally, emphasizing the necessity of integrating satellite geodesy with adaptive water governance strategies.
Suggested Citation
Wei Tang & Xiangjun Zhao & Jing Li & Yong Li & Siyu Cheng & Wei Xiong, 2025.
"Investigation of land subsidence in the Fenhe River Basin, northern China, using Sentinel-1 InSAR time series analysis, to support hazard mitigation and groundwater management,"
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(17), pages 20683-20711, October.
Handle:
RePEc:spr:nathaz:v:121:y:2025:i:17:d:10.1007_s11069-025-07582-9
DOI: 10.1007/s11069-025-07582-9
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:121:y:2025:i:17:d:10.1007_s11069-025-07582-9. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.