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基于SBAS-InSAR的矿区村庄地面沉降监测与分析

Monitoring and Analysis of Village Surface Subsidence in Mining Area Based on SBAS-InSAR

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【作者】 徐郡胡晋山康建荣华怡颖陈丹

【Author】 Xu Jun;Hu Jinshan;Kang Jianrong;Hua Yiying;Chen Dan;School of Geography,Geomatics and Planning,Jiangsu Normal University;

【通讯作者】 胡晋山;

【机构】 江苏师范大学地理测绘与城乡规划学院

【摘要】 矿区地下开采会造成周边地区不同程度的地面沉降,引发安全隐患,InSAR技术是地面沉降监测的重要手段之一。基于31景Sentinel-1A影像,利用SBAS-In SAR技术,去除了地形误差、轨道误差及大气延迟误差,获取了研究区2016—2017年的地面沉降变形场。研究表明:研究区整体沉降速率在20 mm/a以上,最大沉降速率达到50 mm/a;区域整体沉降量在30 mm以上,最大沉降量达到60 mm。在研究区内沉降量依次从小到大分布的一条观测线上选取了6个观测点进行时序分析,发现沉降值和时间(观测间隔)呈线性变化关系,且随着沉降值逐渐增大,对应的沉降值与时间越符合线性关系.将SBAS监测值与实测数据进行对比分析,发现SBAS监测值与实测数据之间的误差均在20 mm以下,大部分监测点之间的误差均小于10 mm。上述研究进一步表明:采用SBAS-InSAR技术进行由矿区地下开采活动造成的地表沉降监测是可靠的,具有较好的应用前景。

【Abstract】 Underground mining activities will cause different degrees of subsidence in the surrounding area and trigger potential safety hazards.InSAR technology is one of the important means of surface subsidence monitoring. SBAS-InSAR technique was applied to process 31 scene of Sentine-1 A data,the terrain error,orbit error and atmospheric delay error are removed.The surface subsidence field of the study area from 2016 to 2017 is obtained.The study results show that the overall subsidence rate of the study area is above 20 mm/a,and the maximum subsidence rate reached 50 mm/a;the overall subsidence value of the study area was above 30 mm,and the maximum subsidence value reached 60 mm.According to the subsidence value from small to large in the observation lines of the study area,six observation points are selected for time series analysis.It is found that there is a linear relationship between subsidence value and time,moreover,with the increase of the subsidence value,the more linear variation of the subsidence and time was.Compared the SBAS monitoring value with the leveling data,it is found that the error between SBAS monitoring value and leveling data is below 20 mm,and the error between most monitoring points is less than 10 mm.The above results further show that SBAS-InSAR technique is reliable in monitoring surface subsidence caused by underground mining activities and has a good application prospect in the surface subsidence monitoring.

【基金】 国家自然科学基金项目(编号:41671395,51574132);江苏省研究生科研创新计划项目(编号:KYCX18_2158)
  • 【文献出处】 金属矿山 ,Metal Mine , 编辑部邮箱 ,2019年10期
  • 【分类号】TD325;P642.26
  • 【被引频次】4
  • 【下载频次】283
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