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首页> 外文期刊>Journal of Applied Geophysics >The importance of including conductivity and dielectric permittivity information when processing low-frequency GPR and high-frequency EMI data sets
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The importance of including conductivity and dielectric permittivity information when processing low-frequency GPR and high-frequency EMI data sets

机译:在处理低频GPR和高频EMI数据集时,包括电导率和介电常数信息的重要性

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The full solution for the wavenumber equation in electromagnetic (EM) theory is available, but not routinely used when processing ground penetrating radar (GPR), and electromagnetic induction (EMI) data. The wavenumber approach is important as it is used for the development of concepts such as skin depth and phase velocity, as well as being the basis for more complete interpretation of EM data sets. Approximations that make the solution simpler are common, and sufficiently accurate, provided that the underlying assumptions are not grossly violated. With the advent of lower-frequency GPR systems (25. MHz and below) and higher-frequency EMI systems (greater than 100. kHz) such approximations need to be re-examined. This paper reviews the full wavenumber expression and then compares phase velocity and skin depth equations based on approximations with the equations for the same parameter based on the full solution. This comparison allows the conditions under which the assumptions are valid to be refined. In this paper it is shown that for GPR surveys conducted under transition band conditions, the error in phase velocity estimates based on low-loss assumptions may be 40%. Similarly, for EMI surveys the skin depth estimation errors may be more than 30% when the equation based on quasi-static assumptions is used instead of the full solution.
机译:提供了电磁(EM)理论中波数方程的完整解决方案,但在处理探地雷达(GPR)和电磁感应(EMI)数据时并未常规使用。波数方法很重要,因为它用于开发诸如趋肤深度和相速度之类的概念,并且是更完整地解释EM数据集的基础。在不严重违反基本假设的前提下,使解决方案更简单的近似值很常见且足够准确。随着较低频率的GPR系统(25. MHz及以下)和较高频率的EMI系统(大于100. kHz)的出现,这种近似需要重新检查。本文回顾了完整的波数表达式,然后将基于近似的相速度和趋肤深度方程与基于完整解的相同参数的方程进行了比较。这种比较允许对假设有效的条件进行细化。本文表明,对于在过渡带条件下进行的GPR测量,基于低损耗假设的相速度估计误差可能为40%。同样,对于EMI调查,当使用基于准静态假设的方程式而不是完整解决方案时,趋肤深度估计误差可能会超过30%。

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