Dielectric mixing models for water content determination in woody biomass

Paz, Ana Marta; Thorin, Eva; Topp, Clarke

doi:10.1007/s00226-010-0316-8

Cited by 27 publications

(17 citation statements)

References 23 publications

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“…Figure 2b shows the relative permittivity of each board. Overall, the relative permittivity of boards 1 to 6 was in the range of 5-10, which was consistent with the previous report [20]. In our experiments, boards 2, 3 and 4 had lower relative permittivity than the other boards.…”

Section: Surface Properties Of the Woody Thin Boards 321 Macroscopisupporting

confidence: 94%

Surface properties of woody thin boards composed of commercially available lignin and cellulose: Relationship between the orientation of lignin and water repellency

Shimanouchi

Kamba

Yang

et al. 2015

Applied Surface Science

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Section: Surface Properties Of the Woody Thin Boards 321 Macroscopisupporting

confidence: 94%

Surface properties of woody thin boards composed of commercially available lignin and cellulose: Relationship between the orientation of lignin and water repellency

Shimanouchi

Kamba

Yang

et al. 2015

Applied Surface Science

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“…As far as we can tell, no empirical model has been developed to describe the numerical relationship between root ε r and its water content. By assuming that a root consists of three components-air, solid solution (composed of wood cellular material and bound water), and free water, a dielectric mixing model for woody biomass (Paz et al 2011) can be applied:…”

Section: Limiting Factors Of Gpr-based Coarse Root Detection and Quanmentioning

confidence: 99%

Application of ground penetrating radar for coarse root detection and quantification: a review

et al. 2012

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Background and Scope Because of the crucial role coarse roots (>2 mm diameter) play in plant functions and terrestrial ecosystems, detecting and quantifying the size, architecture, and biomass of coarse roots are important. Traditional excavation methods are labor intensive and destructive, with limited quantification and repeatability of measurements over time. As a nondestructive geophysical tool for delineating buried features in shallow subsurface, ground penetrating radar (GPR) has been applied for coarse root detection since 1999. This article reviews the state-ofknowledge of coarse root detection and quantification using GPR, and discusses its potentials, constraints, possible solutions, and future outlooks. Some useful suggestions are provided that can guide future studies in this field. Conclusions The feasibility and accuracy of coarse root investigation by GPR have been tested in various site conditions (mostly in controlled conditions or within plantations) and for different plant species (mostly tree root systems). Thus far, single coarse root identification and coarse root system mapping have been conducted using GPR, including roots under pavements in urban environment. Coarse root diameter and biomass have been estimated from indexes extracted from root GPR radargrams. Coarse root development can be observed by repeated GPR scanning over time. Successful GPR-based coarse root investigation is site specific, and only under suitable conditions can reliable measurements be accomplished. The best quality of root detection by GPR is achieved in well-drained and electrically-resistive soils (such as sands) under dry conditions. Numerous factors such as local soil conditions, root electromagnetic properties, and GPR antenna frequency can impact the reliability and accuracy of GPR detection and quantification of coarse roots. As GPR design, data processing software, field data collection protocols, and root parameters estimation methods are continuously improved, this noninvasive technique could offer greater potential to study coarse roots.

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“…TDR probes of custom design or purchased from numerous vendors are comprehensively described in the aspects of construction details, material specific calibration and the waveform interpretation [12,13]. There are numerous applications for determining the spatial distribution of water content in soils [14] and snow [15], for water content determination in woody biomass [16] and wood materials [17,18] or for the purpose of irrigation scheduling [19]. TDR measurement equipment was also successfully implemented in particular study cases [20,21].…”

Section: Introductionmentioning

confidence: 99%

A TDR-Based Soil Moisture Monitoring System with Simultaneous Measurement of Soil Temperature and Electrical Conductivity

Skierucha

Wilczek

Szypłowska

et al. 2012

Sensors

114

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Elements of design and a field application of a TDR-based soil moisture and electrical conductivity monitoring system are described with detailed presentation of the time delay units with a resolution of 10 ps. Other issues discussed include the temperature correction of the applied time delay units, battery supply characteristics and the measurement results from one of the installed ground measurement stations in the Polesie National Park in Poland.

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Dielectric mixing models for water content determination in woody biomass

Cited by 27 publications

References 23 publications

Surface properties of woody thin boards composed of commercially available lignin and cellulose: Relationship between the orientation of lignin and water repellency

Surface properties of woody thin boards composed of commercially available lignin and cellulose: Relationship between the orientation of lignin and water repellency

Application of ground penetrating radar for coarse root detection and quantification: a review

A TDR-Based Soil Moisture Monitoring System with Simultaneous Measurement of Soil Temperature and Electrical Conductivity

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