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首页> 外文期刊>Journal of Applied Geophysics >Inversion of multiple intersecting high-resolution crosshole GPR profiles for hydrological characterization at the Boise Hydrogeophysical Research Site
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Inversion of multiple intersecting high-resolution crosshole GPR profiles for hydrological characterization at the Boise Hydrogeophysical Research Site

机译:博伊西水文地球物理研究站点对多个相交的高分辨率井孔GPR剖面进行水文表征的反演

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摘要

The integration of geophysical data into the subsurface characterization problem has been shown in many cases to significantly improve hydrological knowledge by providing information at spatial scales and locations that is unattainable using conventional hydrological measurement techniques. In particular, crosshole ground-penetrating radar (GPR) tomography has shown much promise in hydrology because of its ability to provide highly detailed images of subsurface radar wave velocity, which is strongly linked to soil water content. Here, we develop and demonstrate a procedure for inverting together multiple crosshole GPR data sets in order to characterize the spatial distribution of radar wave velocity below the water table at the Boise Hydrogeophysical Research Site (BHRS) near Boise, Idaho, USA. Specifically, we jointly invert 31 intersecting crosshole GPR profiles to obtain a highly resolved and consistent radar velocity model along the various profile directions. The model is found to be strongly correlated with complementary neutron porosity-log data and is further corroborated by larger-scale structural information at the BHRS. This work is an important prerequisite to using crosshole GPR data together with existing hydrological measurements for improved groundwater flow and contaminant transport modeling.
机译:在许多情况下,已经证明了将地球物理数据整合到地下特征问题中,可以通过提供常规水文学测量技术无法获得的空间尺度和位置信息来显着改善水文学知识。尤其是,跨孔探地雷达(GPR)层析成像技术在水文学中显示出很大的前景,因为它能够提供高度详细的地下雷达波速图像,这与土壤含水量密切相关。在这里,我们开发并演示了将多个交叉孔GPR数据集反演的过程,以表征美国爱达荷州博伊西市博伊西水文地球物理研究站点(BHRS)地下水位以下雷达波速度的空间分布。具体来说,我们联合反转了31个相交的井眼GPR剖面,以沿各个剖面方向获得高度解析且一致的雷达速度模型。该模型被发现与互补中子孔隙度测井数据高度相关,并被BHRS的大规模结构信息进一步证实。这项工作是使用井间GPR数据和现有的水文测量数据来改善地下水流量和污染物迁移模型的重要前提。

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