Review of calculating the electrical conductivity of mineral aggregates from constituent conductivities

IF 2 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Solid Earth Sciences Pub Date : 2021-06-15 DOI:10.1016/j.sesci.2021.02.003
Kui Han , Simon Martin Clark
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引用次数: 4

Abstract

The electrical conductivity of mineral aggregates depends both on the properties of the constitutive minerals and the ways those minerals are assembled. Mixing, or average models combine the conductivity of single phases to give bulk conductivity of rocks, thereby linking experimental measurements to geophysical observations. In order to compare these mixing models and allow an informed choice, several popular approaches, including bounds and average models, have been used to estimate the conductivity of a typical dry upper mantle and transition zone with a pyrolite composition. All the estimations calculated using the various average models lie between the rigorous constraint that is given by the HS bounds. The average models in this study are found to give similar bulk conductivities with the difference of less than 0.5 orders of magnitude, except the geometric mean, implying that the choice of the average models is insignificant. The effective electrical conductivity of pyrolite mantle has been derived from the conductivity of dry mantle minerals using the effective medium theory, and was found consistent with observed conductivity values for some subsurface regions of the Earth which we expect to be relatively dry. This provides us with baseline conductivity for a dry mantle, which is helpful to understand the water distribution in the deep earth.

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从组成电导率计算矿物集料电导率的综述
矿物集合体的导电性既取决于组成矿物的性质,也取决于这些矿物的组合方式。混合或平均模型将单相的电导率结合起来,给出岩石的总体电导率,从而将实验测量与地球物理观测联系起来。为了比较这些混合模型并做出明智的选择,几种流行的方法,包括边界模型和平均模型,已被用于估计具有软锰矿成分的典型干燥上地幔和过渡带的电导率。使用各种平均模型计算的所有估计都处于HS界所给出的严格约束之间。本研究的平均模型除几何平均值外,均给出了相似的体积电导率,差异小于0.5个数量级,表明平均模型的选择不显著。利用有效介质理论,从干燥地幔矿物的电导率推导出软锰矿地幔的有效电导率,并与观测到的地球一些地下相对干燥区域的电导率值相一致。这为我们提供了干燥地幔的基线电导率,这有助于了解地球深部的水分布。
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来源期刊
Solid Earth Sciences
Solid Earth Sciences GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
3.60
自引率
5.00%
发文量
20
审稿时长
103 days
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