Surface Micro-Relief Evolution in Southeast Tibet Based on InSAR Technology

Gesangzhuoma, Zitong Han, Liang Cheng (), Zhouyuqian Jiang and Qun’ou Jiang
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Gesangzhuoma: School of Geography and Oceanography, Nanjing University, Nanjing 210023, China
Zitong Han: School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
Liang Cheng: School of Geography and Oceanography, Nanjing University, Nanjing 210023, China
Zhouyuqian Jiang: School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
Qun’ou Jiang: School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China

Land, 2025, vol. 14, issue 3, 1-14

Abstract: Based on 143 Sentinel-1A images from January 2020 to December 2022, this study used SBAS-InSAR technology to monitor the surface deformation of the tailings pond and analyzed and predicted the surface deformation laws in southeast Tibet. Overall, the surface deformation of the tailings pond was significant and there were many areas where the deformation was uneven. The typical subsidence areas were mainly located in the northern part of the right tailings pond and the southern part of the left tailings pond. From a temporal perspective, the subsidence in the tailings pond showed a certain periodic downward fluctuation. Specifically, cumulative subsidence from January to September each year displayed a clear downward trend, reaching its maximum around September. This was followed by a slight uplift in October and November, after which a notable downward trend resumed from December until the following September. Based on spatial scale analysis, the changes in the tailings pond were relatively stable before May 2020. After that, the northern part of the right tailings pond showed a sinking trend, while the southern part exhibited uplift, and the central part remained relatively stable. Conversely, the southeastern part of the left tailings pond showed an uplifting trend, while the northern, central, and western parts experienced subsidence. Based on the Holt–Winters exponential smoothing model, we predicted the cumulative subsidence for 10 monitoring points in 2023. The northern part of the right tailings pond is expected to continue showing a significant subsidence trend in 2023. A prominent subsidence center is projected to emerge in the central part of the left tailings pond, and we should strengthen monitoring to avoid the disaster risk in the mining area.

Keywords: southeast Tibet; SBAS-InSAR; prediction model; land surface deformation; time series analysis (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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