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首页> 外文期刊>Subsurface Sensing Technologies and Applications >Non Destructive Geophysical Monitoring of Water Content and Fluid Conductivity Anomalies in the Near Surface at the Border of an Agricultural Field
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Non Destructive Geophysical Monitoring of Water Content and Fluid Conductivity Anomalies in the Near Surface at the Border of an Agricultural Field

机译：农田边界近地表水和流体电导率异常的非破坏性地球物理监测

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摘要

We use in this paper advanced geophysical techniques for the characterization and monitoring of subsurface properties such as porosity, water content and electrical conductivity of water. Ground Penetrating Radar (GPR) and electrical conductivity measurements were recorded monthly during one year at the border of a corn field. Velocity analyses of multioff-set GPR data were conducted to determine total porosity and to monitor vertical transport of water from the soil surface to the water table. The use of novel and original techniques for GPR processing (GPR velocity estimation by the Common Reflection Surface (CRS) method, kriging applied to GPR velocity) improved the estimate and the resolution of GPR velocity maps compared with the classical Normal MoveOut (NMO) and the bi-linear interpolation. Electrical resistivities were used to determine the effective porosity. The combination of GPR and electrical data permitted to estimate the electrical conductivity of water and to highlight high conductivity zones, possibly due to contamination by agricultural fertilizers. Independent determinations (grain size fractions, electrical conductivity, major ion content of water samples and porosity) were obtained, that validate our geophysical investigation. This study demonstrates the efficiency of non destructive geophysical approaches for providing accurate models of water content, porosity and electrical conductivity of water down to a depth of several meters in a poorly conductive soil.
机译：我们在本文中使用了先进的地球物理技术来表征和监测地下性质，例如孔隙率，水含量和水的电导率。每年在玉米田边界每月记录一次探地雷达（GPR）和电导率测量值。进行了多偏移GPR数据的速度分析，以确定总孔隙度并监测水从土壤表面到地下水位的垂直传输。与传统的法向移动（NMO）和方法相比，使用新颖的原始技术进行GPR处理（通过共反射面（CRS）方法估算GPR速度，将克里格法应用于GPR速度）改善了GPR速度图的估算和分辨率。双线性插值。电阻率用于确定有效孔隙率。 GPR和电气数据的组合可以估算水的电导率并突出显示高电导率区域，这可能是由于农业肥料污染造成的。获得了独立的测定结果（粒度分数，电导率，水样品中的主要离子含量和孔隙率），这证实了我们的地球物理研究。这项研究证明了在破坏性较差的土壤中提供低至几米深的水的水含量，孔隙率和电导率的准确模型的无损地球物理方法的效率。

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