从组成电导率计算矿物集料电导率的综述

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
{"title":"从组成电导率计算矿物集料电导率的综述","authors":"Kui Han ,&nbsp;Simon Martin Clark","doi":"10.1016/j.sesci.2021.02.003","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":54172,"journal":{"name":"Solid Earth Sciences","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2021-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.sesci.2021.02.003","citationCount":"4","resultStr":"{\"title\":\"Review of calculating the electrical conductivity of mineral aggregates from constituent conductivities\",\"authors\":\"Kui Han ,&nbsp;Simon Martin Clark\",\"doi\":\"10.1016/j.sesci.2021.02.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":54172,\"journal\":{\"name\":\"Solid Earth Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2021-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.sesci.2021.02.003\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Solid Earth Sciences\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2451912X21000064\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Solid Earth Sciences","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2451912X21000064","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 4

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Review of calculating the electrical conductivity of mineral aggregates from constituent conductivities

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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
期刊最新文献
High-precision measurement of trace-level Nb, Sn, Ta, and W in rutile using electron probe microanalysis The origin and tectonic implications of the ca. 406 Ma magmatic activity in the western Yangtze Block, South China Assessment of groundwater resources through hydrogeochemical investigation and multivariate chemometric statistics in Bagerhat district, Bangladesh The slab failure in Central Java (Indonesia): New insight into its tectonic setting and origin Fusion of GIS, remote sensing, geophysics and Dempster Shafer theory of evidence for mapping groundwater prospectivity: A case study of the central parts of Lagos State, Nigeria
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1