Unraveling the Patterns and Drivers of Multi-Geohazards in Tangshan, China, by Integrating InSAR and ICA
This study establishes an integrated “Detection–Decomposition–Interpretation” framework for geohazard assessment, with Tangshan City serving as a representative case. Using Sentinel-1 SAR images from 2020 to 2024, regional surface deformation was derived via the Small Baseline Subset InSAR (SBAS-InSAR) technique. Six categories of geohazards were systematically identified and classified: landslides, open-pit slope deformation, mining-induced subsidence, spoil heap deformation, tailings pond deformation, and reclamation settlement. A total of 115 potential hazards were spatially cataloged, revealing distinct zonation characteristics: the northern mountainous area is predominantly affected by landslides and open-pit mining hazards; the central plain exhibits concentrated mining subsidence; and the southern coastal zone is marked by large-scale reclamation settlement. For the southern reclamation area, where settlement mechanisms are complex, the Independent Component Analysis (ICA) method was applied to successfully decompose the deformation signals into three independent components: IC1, representing the dominant long-term irreversible settlement driven by fill consolidation, building loads, and groundwater extraction; IC2, reflecting seasonal deformation coupled with groundwater level fluctuations; and IC3, comprising residual noise. Time series analysis further reveals the coexistence of “decelerating” and “accelerating” settlement trends across different zones, indicative of their respective evolutionary stages—from decaying to actively progressing settlement. This study not only offers a scientific basis for geohazard prevention and control in Tangshan, but also provides a transferable framework for analyzing hazard mechanisms in other complex geographic settings.
Authors
- Yiwen Zhou (ORCID: https://orcid.org/0000-0002-3420-0356)
- Qiang Shan (ORCID: https://orcid.org/0000-0002-7089-0278)
- Degang Zhao (ORCID: https://orcid.org/0000-0002-8299-4015)
- Baoshan Ma
- Yang Wang (ORCID: https://orcid.org/0000-0003-2802-5392)
- Fuwei Jiang (ORCID: https://orcid.org/0000-0003-1939-1075)
- Jianqing Zhao
Institutions
- East China University of Technology (CN)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-11-27
- DOI
- https://doi.org/10.3390/app152312584
- Primary Topic
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00