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基于SBAS-InSAR的大采深条带开采地表沉降 监测与特征分析
引用本文:何荣,刘畅远,徐可心.基于SBAS-InSAR的大采深条带开采地表沉降 监测与特征分析[J].金属矿山,2021,50(2):16-22.
作者姓名:何荣  刘畅远  徐可心
作者单位:河南理工大学测绘与国土信息工程学院,河南 焦作 454000
基金项目:国家自然科学基金项目;河南省科技攻关项目;河南理工大学博士基金项目;河南理工大学基本科研业务费专项
摘    要:矿区地下开采造成地表不同程度的沉降,引发安全隐患,InSAR技术是地表变形监测 的重要手段之一。项目利用31景Sentinel-1A影像,基于SBAS-InSAR技术,通过去除地形误差、轨 道误差及大气延迟误差等,获得下沉盆地年平均沉降速率达到61 mm/a,最大沉降127 mm,整体呈 现下沉趋势,不均匀沉降较为明显,局部区域沉降量持续增大。统计下沉盆地沉降面积发现,沉 降量大于100 mm的沉降面积达到0.32 km2,累计沉降面积达到4.33 km2,沉降面积呈现逐渐增加 的趋势;将SBAS-InSAR结果与水准数据对比分析,均误差为2.9 mm,两者结果基本吻合。从SBAS 结果提取研究区下沉盆地的剖面时序沉降信息并做高斯曲线拟合,曲线形态与开采沉陷概率积分 法特征一致。研究表明:基于SBAS-InSAR在大采深条带开采矿区地表变形监测中是可行的,受条 带工作面开采的影响,引发相邻老采空区持续发生沉降,地表变形较小,地表移动范围大, SBAS-InSAR可以有效得到全盆地、全要素地表变形信息,为类似矿区开采沉陷高精度监测提供参 考。

关 键 词:SBAS-InSAR            大采深            条带开采            形变监测  

Surface Subsidence Monitoring and Characteristic Analysis of Strip Mining with Large Mining Depth Based on SBAS-InSAR
HE Rong,LIU Changyuan,XU Kexin.Surface Subsidence Monitoring and Characteristic Analysis of Strip Mining with Large Mining Depth Based on SBAS-InSAR[J].Metal Mine,2021,50(2):16-22.
Authors:HE Rong  LIU Changyuan  XU Kexin
Affiliation:(School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo 454000,China)
Abstract:Underground mining in mining area causes different levels of ground subsidence,which leads to potential safety hazards.InSAR technology is one of the important means for surface deformation monitoring.Using 31 Sentinel-1A images,based on SBAS-InSAR technology,and through removing terrain error,orbit error and atmospheric delay error,the annual average subsidence rate of subsidence basin reaches 61 mm/a,and the maximum settlement is 127 mm.The subsidence trend is overall,the uneven settlement is more obvious,and the settlement of local areas continues to increase.According to the statistics of subsidence area of subsidence basin,it is found that the subsidence area with settlement greater than 100 mm reaches 0.32 km2,and the accumulated settlement area reaches 4.33 km2,and the settlement area presents a trend of gradual increase.The average error between SBAS-InSAR results and leveling data is 2.9 mm,which is basically consistent.The time series subsidence information of subsidence basin in the study area is extracted from SBAS results,and Gaussian curve fitting is made.The curve shape is consistent with the mining subsidence probability integral method.The results show that:Based on SBAS-InSAR,it is feasible to monitor the surface deformation of strip mining area with large mining depth.Affected by strip mining,the adjacent old goaf will continue to subside,the surface deformation is small,and the surface movement range is large.SBAS-InSAR can effectively obtain the surface deformation information of the whole basin and all elements,which provides a reference for high-precision monitoring of mining subsidence in similar mining areas.
Keywords:SBAS-InSAR  large mining depth  strip mining  deformation monitoring
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