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Evaluation of five composite dielectric mixing models for understanding relationships between effective permittivity and unfrozen water content

文献类型：期刊论文

作者He, Hailong1,2,3; Dyck, Miles4; Zhao, Ying1,2; Si, Bingcheng5,6; Jin, Huijun3; Zhang, Tingjun7,8; Lv, Jialong1,2; Wang, Jinxing1,2
刊名COLD REGIONS SCIENCE AND TECHNOLOGY
出版日期2016-10-01
卷号130页码:33-42
关键词TDR Dielectric mixing model Unfrozen water content Ice content Frozen soil
ISSN号0165-232X
DOI10.1016/j.coldregions.2016.07.006
通讯作者Lv, Jialong(ljlll@nwsuaf.edu.cn) ; Wang, Jinxing(jwang118@126.com)
英文摘要Accurate estimation of unfrozen/liquid water content (theta(1)) of soils with time domain reflectometry (TDR) is important for understanding freezing and thawing processes and hydrology in cold regions. Empirical equations and composite dielectric mixing models are the two most commonly used methods to estimate water content in unfrozen soils from TDR-measured soil effective permittivity (epsilon(eff)). However, empirical equations derived from unfrozen soil data always overestimate theta(1) in frozen soils and few studies were found to examine the validity of composite dielectric mixing models for measuring theta(1). Therefore, the objective of this study was to evaluate the sensitivities and applicability of composite dielectric mixing models for modeling the epsilon(eff)(theta(1)) relationship. Five multi-phase, composite dielectric mixing models (i.e., power law model, de Loor model, Sihvola discrete model, Sihvola confocal model, and Sphere model) were evaluated with published dataset consisting of independently measured epsilon(eff) and theta(1) on the same samples. The results show that: (1) the power law model and de Loor models are independent of configurations of dielectric mixtures; (2) the Sihvola discrete model depends on the host medium and independent on the configurations of the other components; (3) different dielectric mixing models may end up with the similar epsilon(eff)(theta(1)) relationships by parameter adjusting to represent the same problem; and (4) the de Loor model, and Sihvola discrete and confocal models are most appropriate for modeling the epsilon(eff)(theta(1)) relationship of frozen soils based on the published dataset. This study will significantly contribute to the application of TDR method for liquid water measurement in frozen soils and facilitate the understanding of freezing/thawing processes. (C) 2016 Elsevier B.V. All rights reserved.
收录类别SCI
WOS关键词TIME-DOMAIN REFLECTOMETRY ; FROZEN SOIL ; ELECTRICAL-CONDUCTIVITY ; POROUS-MEDIA ; LIQUID WATER ; ICE CONTENT ; CONSTANT ; TDR ; CALIBRATION ; MIXTURES
WOS研究方向Engineering ; Geology
WOS类目Engineering, Environmental ; Engineering, Civil ; Geosciences, Multidisciplinary
语种英语
WOS记录号WOS:000383300400004
出版者ELSEVIER SCIENCE BV
URI标识http://www.irgrid.ac.cn/handle/1471x/2557462
专题寒区旱区环境与工程研究所
通讯作者Lv, Jialong; Wang, Jinxing
作者单位1.Northwest A&F Univ, Minist Agr, Coll Nat Resources & Environm, Yangling 712100, Shaanxi, Peoples R China
2.Northwest A&F Univ, Minist Agr, Key Lab Plant Nutr & Agrienvironm Northwest China, Yangling 712100, Shaanxi, Peoples R China
3.Chinese Acad Sci, State State Key Lab Frozen Soil Engn, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Gansu, Peoples R China
4.Univ Alberta, Dept Renewable Resources, Edmonton, AB T6G 2H1, Canada
5.Univ Saskatchewan, Dept Soil Sci, Saskatoon, SK S7N 5A8, Canada
6.Northwest A&F Univ, Coll Water Resources & Architectural Engn, Yangling 712100, Shaanxi, Peoples R China
7.Lanzhou Univ, Coll Nat Resources & Environm, Lanzhou 730000, Ganshu, Peoples R China
8.Univ Colorado, CIRES, Boulder, CO 80309 USA
推荐引用方式
GB/T 7714		 He, Hailong,Dyck, Miles,Zhao, Ying,et al. Evaluation of five composite dielectric mixing models for understanding relationships between effective permittivity and unfrozen water content[J]. COLD REGIONS SCIENCE AND TECHNOLOGY,2016,130:33-42.
APA He, Hailong.,Dyck, Miles.,Zhao, Ying.,Si, Bingcheng.,Jin, Huijun.,...&Wang, Jinxing.(2016).Evaluation of five composite dielectric mixing models for understanding relationships between effective permittivity and unfrozen water content.COLD REGIONS SCIENCE AND TECHNOLOGY,130,33-42.
MLA He, Hailong,et al."Evaluation of five composite dielectric mixing models for understanding relationships between effective permittivity and unfrozen water content".COLD REGIONS SCIENCE AND TECHNOLOGY 130(2016):33-42.

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