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Spectral electrical response measurements and petrophysical characterization of soils.

机译:光谱电响应测量和土壤的岩石物理特征。

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The influence of soil structure and composition on the spectral electrical response, (SER) of soils is analyzed based on laboratory measurements and modeling studies are done to investigate the relationship between model parameters and physical properties of the soils. Measurements of the resistivity amplitude and phase of natural and artificial soil samples are made at frequencies from 10−2 Hz–10kHz. These measurements are correlated with modifications of soil structure effected by systematic changes in applied stress, pore fluid chemistry, particle size distribution, clay content, and chemical reactions. The determination of these physical properties and the effect of various contaminants on natural soil samples based on information obtained from SER measurements is shown to be feasible.; Based on these laboratory measurements and modeling studies, empirical relationships are presented between SER, applied effective stress, porosity and hydraulic conductivity for clean sands. It is shown that the parameters η and δ characterizing the SER are directly related to clay content and pore fluid salinity respectively, for sand-clay mixtures in the laboratory. Regression equations are shown to relate the parameters of the multi-Cole-Cole model directly to porosity and hydraulic conductivity for 25 natural soils. The results of long-term laboratory measurements of contaminated natural soils show how the changes over time in the SER can be used to identify and monitor contaminants in the subsurface. This work may provide geoscientists with a rapid and inexpensive means of characterizing the subsurface and monitoring changes in the properties of soils over time. The technique is non-invasive, which is particularly desirable for environmentally sensitive areas or hazardous contamination sites.
机译:根据实验室测量结果分析了土壤结构和组成对土壤光谱电响应(SER)的影响,并进行了建模研究以研究模型参数与土壤物理性质之间的关系。在10 -2 Hz-10kHz的频率下测量天然和人造土壤样品的电阻率振幅和相位。这些测量结果与土壤结构的改变有关,土壤结构的改变是由施加应力,孔隙流体化学,粒度分布,粘土含量和化学反应的系统变化引起的。根据SER测量获得的信息,确定这些物理性质以及各种污染物对天然土壤样品的影响是可行的。基于这些实验室测量和建模研究,得出了清洁砂的SER,施加的有效应力,孔隙率和水力传导率之间的经验关系。结果表明,在实验室中,表征SER的参数η和δ分别与粘土含量和孔隙流体盐度直接相关。显示了回归方程,将多科尔模型的参数直接与25种天然土壤的孔隙率和水力传导率相关。对受污染的天然土壤进行长期实验室测量的结果表明,SER中随时间的变化如何可用于识别和监测地下污染物。这项工作可以为地球科学家提供快速而廉价的表征地下特征并监测土壤随时间变化的方法。该技术是非侵入性的,这对于环境敏感区域或危险污染场所特别理想。

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