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刘沂轩, 耿智海, 杨俊凯, 杜珍应, 曹久立. 基于SBAS技术的概率积分法矿区沉降量提取模型[J]. 煤炭科学技术, 2017, (2).
引用本文: 刘沂轩, 耿智海, 杨俊凯, 杜珍应, 曹久立. 基于SBAS技术的概率积分法矿区沉降量提取模型[J]. 煤炭科学技术, 2017, (2).
Liu Yixuan Geng Zhihai Yang Junkai Du Zhenying Cao Jiulil, . Subsidence extraction model of mining area with probability integral method based on SBAS technology[J]. COAL SCIENCE AND TECHNOLOGY, 2017, (2).
Citation: Liu Yixuan Geng Zhihai Yang Junkai Du Zhenying Cao Jiulil, . Subsidence extraction model of mining area with probability integral method based on SBAS technology[J]. COAL SCIENCE AND TECHNOLOGY, 2017, (2).

基于SBAS技术的概率积分法矿区沉降量提取模型

Subsidence extraction model of mining area with probability integral method based on SBAS technology

  • 摘要: 基于矿区开采沉陷具有沉降速度快、量值大的特点,针对使用合成孔径雷达干涉测量(InSAR)技术难以正确获取煤炭开采引起的地表下沉的全盆地信息的问题,提出了基于小基线集(SBAS)技术的概率积分法(PIM)获取矿区沉降量的方法。试验以陕西某矿52304工作面为例,首先采用SBAS技术得到下沉盆地边界,然后结合少量SBAS获取的边界点和RTK监测点(沉降量≥300mm)反演概率积分法参数及下沉盆地,最后将反演的盆地中心与SBAS获取的边界融合,完成了地表沉降的全盆地信息的提取。结果表明:52304工作面走向、倾向最大沉降量相对误差分别为0.2%、6.0%,该方法可以有效地解决In SAR技术无法监测矿区大梯度沉降问题,为In SAR技术在矿区开采沉陷监测提供了新的用途。

     

    Abstract: Based on the mining subsidence in the mining area with the features of the rapid subsidence speed and high subsidence value, according to the In SAR technology hard to accurately get the full basin information of the surface ground subsidence caused by the coal mining, a probability integral method (PIM) was provid ed to have the subsidence value of the mining area based on the SBAS technology.Based on an experiment with No.52304 mining face in a mine of Shaanxi Province a s a case, the SBAS technology was firstly applied to have the boundary of the subsidence basin, then in combination with some boundary points obtained with the SBA S technology and the RTK measuring point (subsidence value 2300 mm) with the reversed probability integral method parameters and the subsidence basin.Finally, the boundary integration was obtained with the reversed basin center and the SBAS technology and the full basin information of the surface ground subsidence were picked up and completed. The results showed that the relative error of the max subsidence value in the strike and inclination of No.52304 coal mining face was 0.2% and 6.0% i ndividually.The method could effectively solve the In SAR technology hard to monitor and measure the high gradient subsidence of the mining area and could provide a new application access for the InSAR technology to monitor and measure the mining subsidence in the mining area.

     

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