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July 5, 2026Discover GeoscienceOpen Access

A global systematic review of land subsidence drivers, technologies, and future directions from monitoring to intelligence

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Authors

YZYuqing ZhangSun Yat-sen UniversityYZYongzhang ZhouSun Yat-sen UniversityLNLujia NiuSun Yat-sen University

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Implication

Systematic review analyzes land subsidence drivers and technologies, highlighting implications for geoscience.

Key Points

  • This study aims to synthesize global cases of land subsidence to understand its drivers and monitoring advancements.
  • Analyzed 483 subsidence cases from 43 countries through quantitative analysis and case studies.
  • Assessment included spatial distribution, driving mechanisms, and trends in monitoring technologies.
  • Evaluated integration of AI methods like deep learning and computer vision for enhanced monitoring.
  • Human activities dominate subsidence hotspots, with groundwater overexploitation at 31.18%.
  • Composite aquifers are most susceptible to differential subsidence due to their variability.
  • InSAR monitoring is primary but requires improvement through integration with hydrogeological models.

Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/6a49f36ff5d1d45b287ff94ehttps://doi.org/10.1007/s44288-026-00618-y
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Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Multi-Scale Analysis of the Relationship between Land Subsidence and Buildings: A Case Study in an Eastern Beijing Urban Area Using the PS-InSAR Technique2018 · 84 citations
  2. 2Preface: Prevention and mitigation of natural and anthoropogenic hazards due to land subsidence2015 · 10 citations
  3. 3Assessing the Accuracy of ALOS/PALSAR-2 and Sentinel-1 Radar Images in Estimating the Land Subsidence of Coastal Areas: A Case Study in Alexandria City, Egypt2021 · 33 citations
  4. 4Surface Deformation Mechanism Analysis in Shanghai Areas Based on TS-InSAR Technology2022 · 26 citations