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An Approach for Estimating Underground-Goaf Boundaries Based on Combining DInSAR with a Graphical Method

机译:一种基于与图形方法组合的基于DINSAR的地下GOF边界估算方法

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The goaf left behind after mining has the potential to induce serious geological disasters due to the damaged internal structure of the rock. Estimating the boundary of the underground goaf can effectively control the occurrence of such disasters. However, traditional geophysical methods are inefficient and expensive and are particularly difficult to apply for a wide detection range. This paper proposes a new method for estimating the boundary of underground goaf using the differential interference synthetic aperture radar technique (DInSAR). More specifically, DInSAR is used to obtain the isoline of the subsidence basin above the goaf, and the direction of the two main sections of the goaf is then determined according to the basic law of mining subsidence. Following this, the basic principles of the probability integral and the graphical methods are combined to determine the mining boundary of the strike section and the incline section of the goaf. Finally, six geometric parameters reflecting the boundary of the goaf are obtained. Experiments on simulated and measured data indicate that the proposed method is feasible, with the average relative errors of the simulated and measured data reaching and maintained at 2.2% and 3.7%, respectively.
机译:挖掘后留下的缺陷有可能由于岩石的内部结构受损而导致严重的地质灾害。估计地下GOF的边界可以有效地控制这种灾害的发生。然而,传统地球物理方法效率低,昂贵,特别难以施加宽检测范围。本文提出了一种利用差分干扰合成孔径雷达技术(Dinsar)估算地下GOF边界的新方法。更具体地,Dinsar用于获得沉降盆的沉降盆中的侧侧,然后根据采矿沉降的基本规律确定GOAF的两个主要部分的方向。在此之后,组合了概率积分和图形方法的基本原理,以确定击球部分的挖掘边界和倾斜部分。最后,获得了反射GOAF边界的六个几何参​​数。模拟和测量数据的实验表明,该方法是可行的,模拟和测量数据的平均相对误差分别达到2.2%和3.7%。

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