基于SBAS-InSAR技术的地表沉降规律分析—以贵州矿区为例
Journal: Geological and Mineral Surveying and Mapping DOI: 10.12238/gmsm.v7i11.2037
Abstract
贵州矿区地形条件复杂,矿体在爆破强扰动开挖后采场稳定性逐渐降低,导致地表发生不同程度沉降和变形,因此开展矿区的整体地表形变监测与时空演化研究至关重要。以贵州某磷矿山为例,利用SBAS-InSAR技术对2020年12月－2023年6月矿山64景Sentinel-1A影像进行处理,获取了矿区地表沉降信息和演化规律并对其进行分析研究。结果表明：矿体开挖后在采区上方出现了一定范围的沉降盆地,最大沉降速率约为22.3mm/a,最大累积沉降量达到55mm,总沉降面积0.085km2；随着时间推移沉降范围不断向外扩张,最终沉降趋势呈现类椭圆形状。研究成果可为沉降防治提供数据支撑和重要决策依据,为贵州矿区地表移动变形预测提供参考意义。
Keywords
SBAS-InSAR；地表移动；地表形变监测；时空演化；贵州矿区
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[1] 谢和平,高峰,鞠杨.深部岩体力学研究与探索[J].岩石力学与工程学报,2015,34(11):2161-2178.
[2] 康红普,徐刚,王彪谋,等.我国煤炭开采与岩层控制技术发展40a及展望[J].采矿与岩层控制工程学报,2019,1(2):7-39.
[3] QIN Shanlan, WANG Wenping, SONG Shangwu. Comparative study on vertical deformation based on GPS and leveling data[J]. Geodesy and Geodynamics,2018,9(2):115-12.
[4] XIA Yuanping, WANG Yunjia, DU Sen, et al. Integration of D-InSAR and GIS technology for identifying illegal underground mining in Yangquan District, Shanxi Province, China[J]. Environmental Earth Sciences,2018,77(8):319.
[5] ZHANG Lele, DAI Keren, DENG Jin, et al. Identifying potential landslides by stacking-InSAR in southwestern China and its performance comparison with SBAS-InSAR[J]. Remote Sensing,2021,13(18):3662.
[6] LI Shaowei, XU Wenbin, LI Zhiwei. Review of the SBAS InSAR Time-series algorithms, applications, and challenges[J]. Geodesy and Geodynamics,2022,13(2):114-126.
[2] 康红普,徐刚,王彪谋,等.我国煤炭开采与岩层控制技术发展40a及展望[J].采矿与岩层控制工程学报,2019,1(2):7-39.
[3] QIN Shanlan, WANG Wenping, SONG Shangwu. Comparative study on vertical deformation based on GPS and leveling data[J]. Geodesy and Geodynamics,2018,9(2):115-12.
[4] XIA Yuanping, WANG Yunjia, DU Sen, et al. Integration of D-InSAR and GIS technology for identifying illegal underground mining in Yangquan District, Shanxi Province, China[J]. Environmental Earth Sciences,2018,77(8):319.
[5] ZHANG Lele, DAI Keren, DENG Jin, et al. Identifying potential landslides by stacking-InSAR in southwestern China and its performance comparison with SBAS-InSAR[J]. Remote Sensing,2021,13(18):3662.
[6] LI Shaowei, XU Wenbin, LI Zhiwei. Review of the SBAS InSAR Time-series algorithms, applications, and challenges[J]. Geodesy and Geodynamics,2022,13(2):114-126.
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