基于SBAS技术的概率积分法矿区沉降量提取模型

发布时间：2018-03-02 18:09

  本文选题：开采沉陷　切入点：小基线集成技术　出处：《煤炭科学技术》2017年02期 　论文类型：期刊论文

【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 characteristics of high subsidence speed and large value of mining subsidence in mining area, it is difficult to obtain the whole basin information of surface subsidence caused by coal mining by using synthetic Aperture Radar Interferometry (InSAR) technology. This paper puts forward a method of obtaining the settlement of mining area by probability integration method based on small base-line collection (SBASS) technique. Taking 52304 face of a mine in Shaanxi province as an example, the boundary of subsidence basin is obtained by using SBAS technique. Then the parameters of probabilistic integration method and subsidence basin are inversed by a few SBAS boundary points and RTK monitoring points (subsidence 鈮，

本文编号：1557607