Three-dimensional time-varying large surface displacements in coal exploiting areas revealed through integration of SAR pixel offset measurements and mining subsidence model
Three-dimensional time-varying large surface displacements in coal exploiting areas revealed through integration of SAR pixel offset measurements and mining subsidence model
复制标题
SAR像素偏移测量与采矿沉陷模型相结合揭示煤炭开采区三维时变大地表位移
DOI：
10.1016/j.rse.2020.111663
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发表时间：
2020-04
影响因子：
13.5
通讯作者：
Liang Liang
中科院分区：
文献类型：
--
作者：
Bingqian Chen;Zhenhong Li;Chen Yu;David Fairbairn;Jianrong Kang;Jinshan Hu;Liang Liang
地下采矿活动往往会引起地表较大的位移，从而造成严重的安全隐患和潜在的生态破坏。常规干涉合成孔径雷达(InSAR)对构造运动、火山喷发和城市沉陷的监测能力已经得到充分展示，但由于地表局部位移具有强烈的空间梯度，其在开采沉陷中的应用受到限制。提出了一种利用单幅SAR图像像元偏移跟踪(OT)技术解决地下采煤引起的地表三维大位移问题的新方法。利用采煤沉陷理论对垂直分量和水平分量进行了解析分离。将该方法应用于陕西中国大柳塔矿区，该矿区具有密集的GPS网络。结果表明，在水平方向和垂直方向上，OT的位移与GPS的均方根差都在亚厘米级。此外，利用支持向量回归算法对采矿引起的地表移动进行了预测，与GPS在垂直、向东和向北方向上的均方根误差分别为12.4、13.1和14.4 cm。该框架不仅能够利用单一几何结构下的多时相SAR图像提取地表三维大位移场的演化，而且具有短期预测的潜力，可以为煤矿开采过程中的工程管理提供早期预警和战略决策。
Underground mining activities usually induce large surface displacements thus causing serious safety hazards and potential ecological damage. The capability of conventional Interferometric Synthetic Aperture Radar (InSAR) to monitor tectonic movements, volcanic eruptions and city subsidence has been fully demonstrated, but its application to mining subsidence is limited because of the failure caused by localized surface displacements with strong spatial gradients. In this paper, a new method is presented to utilize SAR pixel Offset Tracking (OT) with a single pair of SAR images to resolve three-dimensional (3D) large surface displacements caused by underground coal mining. Coal mining subsidence theory is utilised to analytically separate the vertical and horizontal components. This method is applied to the Daliuta coal mining area in Shaanxi Province, China, where a dense GPS network is available. Results show the RMS differences of OT derived displacements against GPS in both horizontal and vertical directions are in the sub-centimeter level. In addition, a prediction of mining-induced ground movements is performed with the Support Vector Regression algorithm and RMS differences of 12.4, 13.1 and 14.4 cm are observed compared to GPS, in the vertical, easting and northing directions respectively. The framework demonstrated in this paper is not only able to derive the evolution of the 3D large surface displacements with multi-temporal SAR images in a single-geometry, but also has a potential for short-term predication, which can provide early warnings and promote strategic decision-making for engineering management in the process of coal mining.
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影响因子：
1.6
作者：
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作者：
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期刊：
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影响因子：
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