ISSN 1006-3021 CN11-3474/P
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基于D-InSAR技术的矿区地表沉陷监测研究
  
关键词:Datong coal mine  D-InSAR  subsidence of mining areas  land deformation monitoring  geological disaster  Sentinel-1
基金项目:中国地质调查项目“华北地区自然资源动态监测与风险评估”(编号: DD20230101)
作者单位E-mail
仝云霄 中国地质调查局天津地质调查中心
华北地质科技创新中心
天津市海岸带地质过程与环境安全重点实验室 
tyunxiao@126.com 
杨俊泉 中国地质调查局天津地质调查中心
华北地质科技创新中心
天津市海岸带地质过程与环境安全重点实验室 
dap-yangjunquan@163.com 
胡晓佳 中国地质调查局天津地质调查中心
华北地质科技创新中心
天津市海岸带地质过程与环境安全重点实验室 
 
孟中玙 中国地质调查局天津地质调查中心
华北地质科技创新中心 
 
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摘要:
Monitoring Land Surface Subsidence of Coal Mines Using D-InSAR Technology
      Mining coal resources may trigger various geological disasters, threatening the social stability of mining areas and the safety of residents' lives and property. Rapid and accurate monitoring of subsidence in mining areas can effectively prevent geological disasters. This study examined the Datong coal mine in Shanxi Province and 13 Sentinel-1 images from October 2022 to March 2023 were used to obtain the rate of land subsidence and cumulative subsidence of Datong coal mine based on Differential Interferometric Synthetic Aperture Radar (D-InSAR). The reliability of the experimental results was verified by comparing existing research results. The results show that subsidence of Datong coal mine is widely distributed, mainly in the west of Nanjiao County of Datong City and the junction of Datong City, Huairen City, Zuoyun County and Shanyin County. During the period of monitoring the maximum and average subsidence were –381.43 mm and –13.88 mm, respectively, and the total subsidence area was approximately 207.91 km2. Based on spatiotemporal variation and changes in rates of subsidence of the seven typical subsidence areas, it was demonstrated that subsidence exhibited continuous expansion. It was inferred that land subsidence will continue for a long time. The study proves the reliability of InSAR technology in monitoring mining subsidence, and provides a new method for management of mineral resources. The research results also provide a reference for the control of mining subsidence and prevention of geological disasters.
TONG Yunxiao,YANG Junquan,HU Xiaojia,MENG Zhongyu.2024.Monitoring Land Surface Subsidence of Coal Mines Using D-InSAR Technology[J].Acta Geoscientica Sinica,45(3):410-422.
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