A Para-Whole Space Model for Underground Magnetic Resonance Sounding Studies
A Para-Whole Space Model for Underground Magnetic Resonance Sounding Studies
复制标题
用于地下磁共振探测研究的准整体空间模型
DOI：
10.1109/jstars.2015.2457445
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发表时间：
2016-01-01
影响因子：
5.5
通讯作者：
Lin, Jun
中科院分区：
文献类型：
--
作者：
Lin, Tingting;Zhang, Yang;Lin, Jun
确定隧道工作面或矿井前方是否存在水对于防止事故和确保地下工程的高效率具有重要意义。地面磁共振测深（SMRS）技术可以提供比其他地球物理方法更直接和定量的地下水变化的估计。然而，当在地下条件（UMRS）中执行MRS时，即，干扰水经常存在，并在与检测方向相反的方向上产生SMRS信号。为此，本文提出利用准整体空间理论，将磁共振波谱技术应用于地下工程干扰水体的识别。在UMRS中实现了奇异值分解（SVD）反演算法和SMRS中的模型分辨率矩阵。采用准整体空间模型，有效地消除了计算结果中隧道空洞区的影响，区分了含水层中的干扰水。半空间模型和全空间模型反演结果的比较表明，准全空间模型能更准确地反演地下水的位置和水量。本文的研究为隧道或矿井中的MRS检测提供了理论基础。
Determining the presence of water ahead of a tunnel face or mine well is important for preventing accidents and ensuring higher efficiency in underground engineering. The surface magnetic resonance sounding (SMRS) technique can provide more direct and quantitative estimates of subsurface water variations than other geophysical methods. However, MRS is more complicated when it is performed in underground conditions (UMRS), i.e., interference water often exists and produces an SMRS signal in the opposite direction to the detection direction. Therefore, para-whole space theories are proposed to apply MRS in underground engineering to identify interference water. Singular value decomposition (SVD) inversion algorithms and a model resolution matrix in SMRS were implemented in UMRS. By using a para-whole space model, the impact of the hollow area of the tunnel is effectively removed from the calculation results to distinguish the interference water in the aquifer. A comparison of the inversion results from half space and whole space models shows that the para-whole space model can produce more accurate inversion results of the location and amount of subsurface water. Our research provides a theoretical foundation for MRS detection in tunnels or mines.