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Analysis on the Spatiotemporal Characteristics and Causative Factors of Ground Subsidence in Jiangdong New District, Haikou Based on SBAS-InSAR
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Ya-xin XU1, Qiong LIU2, Yao-wu FENG1, Lian-huan WEI1, *, Shi-liu WANG1, Meng AO1, Dong-ling ZENG2, Xian-ju LI3
Science Technology and Engineering | 2025, 25(18) : 7511 - 7523
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Science Technology and Engineering | 2025, 25(18): 7511-7523
• Papers·Astronomy and Geosciences •
Analysis on the Spatiotemporal Characteristics and Causative Factors of Ground Subsidence in Jiangdong New District, Haikou Based on SBAS-InSAR
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Ya-xin XU1, Qiong LIU2, Yao-wu FENG1, Lian-huan WEI1, *, Shi-liu WANG1, Meng AO1, Dong-ling ZENG2, Xian-ju LI3
Affiliations
  • 1 College of Resources and Civil Engineering, Northeastern University, Shenyang 110000, China
  • 2 Hainan Hydrogeological and Engineering Geological Survey Institute, Haikou 570100, China
  • 3 School of Computer Science, China University of Geosciences(Wuhan), Wuhan 430000, China
Published: 2025-06-28 doi: 10.12404/j.issn.1671-1815.2406815
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In order to reveal the spatiotemporal distribution characteristics and causative factors of the ground subsidence in Jiangdong New District, SBAS-InSAR(small baseline subsets interferometric synthetic aperture radar) technology was adopted to process and analyze 175 scenes of Sentinel-1A imagery data from January 2018 to February 2024, extracting the deformation parameters. The study found that the subsidence rate in Jiangdong New District has undergone a variation from very slow to fast and then back to slow, forming several severe subsidence areas mainly distributed along major traffic arteries and reclamation areas. The main causative factors of the subsidence were qualitatively and quantitatively analyzed, which include poor engineering geological conditions, consolidation in the reclamation areas, and land use change, etc. The acceleration of subsidence rate is closely related to the rapid development and construction of the region, among which the excessive load on the ground surface is becoming the main influencing factor of subsidence.

ground subsidence  /  SBAS-InSAR  /  Jiangdong New District  /  spatiotemporal distribution  /  causative factor analysis
Ya-xin XU, Qiong LIU, Yao-wu FENG, Lian-huan WEI, Shi-liu WANG, Meng AO, Dong-ling ZENG, Xian-ju LI. Analysis on the Spatiotemporal Characteristics and Causative Factors of Ground Subsidence in Jiangdong New District, Haikou Based on SBAS-InSAR[J]. Science Technology and Engineering, 2025 , 25 (18) : 7511 -7523 . DOI: 10.12404/j.issn.1671-1815.2406815
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Year 2025 volume 25 Issue 18
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Article Info
doi: 10.12404/j.issn.1671-1815.2406815
  • Receive Date：2024-09-10
  • Online Date：2025-12-17
  • Published：2025-06-28
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History
  • Received：2024-09-10
  • Revised：2025-04-07
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Affiliations
    1 College of Resources and Civil Engineering, Northeastern University, Shenyang 110000, China
    2 Hainan Hydrogeological and Engineering Geological Survey Institute, Haikou 570100, China
    3 School of Computer Science, China University of Geosciences(Wuhan), Wuhan 430000, China
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