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Journal Article

Water Retention Characteristics and Pore Structure of Binary Mixtures Available to Purchase

Toshihiro Sakaki, Kathleen M. Smits
Published: 01 February 2015
Vadose Zone Journal (2015) 14 (2): vzj2014.06.0065.
DOI: https://doi.org/10.2136/vzj2014.06.0065
... of laboratory experiments was performed using binary mixtures of coarse and fine particles with seven different mixing fractions. For each mixture, the water retention characteristics, porosity, and saturated hydraulic conductivity were obtained. To enhance the effects of mixing, coarse and fine sands...
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View PDF for article title, Water Retention Characteristics and Pore Structure of <span class="search-highlight">Binary</span> <span class="search-highlight">Mixtures</span>
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Journal Article

Determining the Porosity and Saturated Hydraulic Conductivity of Binary Mixtures All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Available to Purchase

Z. Fred Zhang, Andy L. Ward, Janson m. Keller
Published: 01 February 2011
Vadose Zone Journal (2011) 10 (1): 313–321.
DOI: https://doi.org/10.2136/vzj2009.0138
...). Researchers have found that the gravel content has a significant impact on the hydraulic properties of bulk soils. Therefore, laboratory experiments were conducted to measure the porosity and the saturated hydraulic conductivity of binary mixtures with different fractions of coarse and fine components. We...
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View PDF for article title, Determining the Porosity and Saturated Hydraulic Conductivity of <span class="search-highlight">Binary</span> <span class="search-highlight">Mixtures</span> All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher.
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Journal Article

Apparent and partial specific sorption of oxine by montmorillonite and silica gel in binary mixtures Available to Purchase

A. K. Helmy, E. A. Fereiro, S. G. de Bussetti
Published: 01 October 1986
Clays and Clay Minerals (1986) 34 (5): 586–590.
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Book Chapter

SECTION 17: BINARY MIXTURES OF VOLATILE COMPONENTS Available to Purchase

Author(s)
H. J. Greenwood, H. L. Barnes
Book: Handbook of Physical Constants
Publisher: Geological Society of America
Published: 01 January 1966
DOI: 10.1130/MEM97-p385
... The data for binary mixtures of volatiles are rather scanty, at least for systems of geological interest, and are of widely differing accuracies. The data are therefore presented in a number of tables with appropriate comments on each so that the uncertainties in the entries may be evaluated...
Abstract
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The data for binary mixtures of volatiles are rather scanty, at least for systems of geological interest, and are of widely differing accuracies. The data are therefore presented in a number of tables with appropriate comments on each so that the uncertainties in the entries may be evaluated. Most of the data have been taken from published work, but not all the data from each source are reported here. In regions of overlap no attempt has been made to arrive at an average value, but instead the data considered to be the better of two sets have been quoted and the other set discarded. Many of the data in the literature are given in non-integral values of composition, pressure, and temperature, and where possible these have been plotted on large-scale graph paper and interpolated to integral values. Where this interpolation is considered to be of the same accuracy as the original data the entries are made with an appropriate number of significant figures, and where the interpolation was over too large a distance or between sets of data due to different authors, or where it was simply extrapolated, the entries are enclosed in parentheses. The data on this type of system fall naturally into two groups: those on the two-phase regions and those on the one-phase regions. Only the supercritical one-phase regions are considered here, and the two-phase regions presented are all of the liquid-vapor type. In the two-phase region the system is described by giving the temperature in° C,

Journal Article

Volatilization of Binary Nonaqueous Phase Liquid Mixtures in Unsaturated Porous Media Available to Purchase

Linda M. Abriola, Scott A. Bradford, John Lang, Charles L. Gaither
Published: 01 May 2004
Vadose Zone Journal (2004) 3 (2): 645–655.
DOI: https://doi.org/10.2113/3.2.645
...Linda M. Abriola; Scott A. Bradford; John Lang; Charles L. Gaither Abstract This study examines the volatilization behavior of binary nonaqueous phase liquid (NAPL) mixtures consisting of styrene, and toluene or tetrachloroethylene (PCE). Residual NAPL saturations were emplaced in unsaturated...
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View PDF for article title, Volatilization of <span class="search-highlight">Binary</span> Nonaqueous Phase Liquid <span class="search-highlight">Mixtures</span> in Unsaturated Porous Media
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Image
Raman spectra of three binary mixtures consisting of forsterite, calcite, labradorite, and diopside. Raman intensity variations arise because the Raman cross-sections (numerical metrics associated with inherent signal strength) of these materials all vary. Spectra were collected on Bruker’s BRAVO handheld spectrometer (dual 785 and 852 nm excitation lasers) with three sample scans for 10 s of integration time over the wavenumber range of 300–3200 cm−1. (Color online.)

Raman spectra of three binary mixtures consisting of forsterite, calcite, l... Available to Purchase

Published: 01 January 2025
Figure 1. Raman spectra of three binary mixtures consisting of forsterite, calcite, labradorite, and diopside. Raman intensity variations arise because the Raman cross-sections (numerical metrics associated with inherent signal strength) of these materials all vary. Spectra were collected
Image
Water retention curves obtained for the binary mixtures with various coarse to fine fraction ratios (primary drainage, D/d = 8.7).

Water retention curves obtained for the binary mixtures with various coarse... Available to Purchase

Published: 01 February 2015
Fig. 3. Water retention curves obtained for the binary mixtures with various coarse to fine fraction ratios (primary drainage, D / d = 8.7).
Image
Reflectance spectra of binary mixtures of kaolin with hematite (upper) and goethite (lower). The concentration of pigment and the resulting brightness (B) are displayed alongside each curve. The greater the concentration, the more the resulting curve resembles that of the pure pigment.

Reflectance spectra of binary mixtures of kaolin with hematite (upper) and ... Available to Purchase

Published: 01 October 2012
Figure 4 Reflectance spectra of binary mixtures of kaolin with hematite (upper) and goethite (lower). The concentration of pigment and the resulting brightness (B) are displayed alongside each curve. The greater the concentration, the more the resulting curve resembles that of the pure pigment.
Image
Surface tension of binary mixtures of CCl4 with dibutyl butyl phosphonate (DBBP), tributyl phosphate (TBP), and machining lard oil (LO) as a function of the percentage of the compound in the CCl4 binary mixture. MIX1–4 is the range of values for MIX1 to MIX4 (see Table 1).

Surface tension of binary mixtures of CCl 4 with dibutyl butyl phosphonate... Available to Purchase

Published: 01 May 2009
F ig . 2. Surface tension of binary mixtures of CCl 4 with dibutyl butyl phosphonate (DBBP), tributyl phosphate (TBP), and machining lard oil (LO) as a function of the percentage of the compound in the CCl 4 binary mixture. MIX1–4 is the range of values for MIX1 to MIX4 (see Table 1 ).
Image
Interfacial tension of binary mixtures of CCl4 with dibutyl butyl phosphonate (DBBP), tributyl phosphate (TBP), and machining lard oil (LO) as a function of the percentage of the compound in the CCl4 binary mixture. MIX1–4 is the range of values for MIX1 to MIX4 (see Table 1).

Interfacial tension of binary mixtures of CCl 4 with dibutyl butyl phospho... Available to Purchase

Published: 01 May 2009
F ig . 6. Interfacial tension of binary mixtures of CCl 4 with dibutyl butyl phosphonate (DBBP), tributyl phosphate (TBP), and machining lard oil (LO) as a function of the percentage of the compound in the CCl 4 binary mixture. MIX1–4 is the range of values for MIX1 to MIX4 (see Table 1 ).
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Quantification results for the binary mixtures and reference material end-members: Atomic basis fraction of total mineral phase fp obtained from Equation 63 where the first integral is interpreted to include the mineral thermal diffuse scattering (to include all mineral diffraction intensity) as a function of the known total mineral phase fraction fp obtained from the mixture weights and one of the known end-member compositions. The 1:1 line is shown for comparison. In each case, the total amorphous material fraction (atomic basis) is 1 – fp. The OM end-member point was artificially displaced to fp(known) = 0.037 to illustrate the magnitude of the total non-OM fraction, as explained in the text.

Quantification results for the binary mixtures and reference material end-m... Available to Purchase

Published: 01 October 2005
F igure 5. Quantification results for the binary mixtures and reference material end-members: Atomic basis fraction of total mineral phase f p obtained from Equation 63 where the first integral is interpreted to include the mineral thermal diffuse scattering (to include all mineral
Image
Poured binary mixtures of glass spheres, 47% small (300 μm) and 53% large (800 μm). The small grains appear black in the photos on the left side and light green in the negative images on the right side used to highlight the distribution of beads. The three photos represent piles poured at differing velocities (a) 50 g s−1, (b) 3.7 g s−1, and (c) 0.83 g s−1. The dashed lines show the approximate positions of where the piles were sectioned for the data presented in Fig. 7.

Poured binary mixtures of glass spheres, 47% small (300 μm) and 53% large (... Available to Purchase

Published: 01 August 2003
Fig. 6. Poured binary mixtures of glass spheres, 47% small (300 μm) and 53% large (800 μm). The small grains appear black in the photos on the left side and light green in the negative images on the right side used to highlight the distribution of beads. The three photos represent piles poured
Image
Binary mixtures of quartz sand with (left to right) 60, 40, and 20% small grains. The small grains are colored black and tend to accumulate under the apex of the pile.

Binary mixtures of quartz sand with (left to right) 60, 40, and 20% small g... Available to Purchase

Published: 01 August 2003
Fig. 5. Binary mixtures of quartz sand with (left to right) 60, 40, and 20% small grains. The small grains are colored black and tend to accumulate under the apex of the pile.
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The calculated binary mixtures of XMCD spectra. The spectra are constructed by summing two of the site occupancy components.

The calculated binary mixtures of XMCD spectra. The spectra are constructed... Available to Purchase

Published: 01 November 2002
Fig. 4. The calculated binary mixtures of XMCD spectra. The spectra are constructed by summing two of the site occupancy components.
Image
Plots illustrating the results from binary mixtures: a) comparison of the abundances of dickite calculated from the empirical method of Earle (1994) with the known values in the dickite – muscovite mixtures. b) dR14versus the abundance of kaolinite in the kaolinite – muscovite mixtures. c) dR14versus the abundance of dickite in the dickite – muscovite mixtures. d) dR22versus the abundance of sudoite in the sudoite – muscovite mixtures. Numerical relationships in b), c) and d) were obtained by least-squares regression.

Plots illustrating the results from binary mixtures: a) comparison of the a... Available to Purchase

Published: 01 October 2001
F ig . 11. Plots illustrating the results from binary mixtures: a) comparison of the abundances of dickite calculated from the empirical method of Earle (1994) with the known values in the dickite – muscovite mixtures. b) dR 14 versus the abundance of kaolinite in the kaolinite – muscovite
Image
Summary of pre-edge characteristics for the binary mixtures between IVFe2+, VIFe2+, IVFe3+, and VIFe3+. In addition, pre-edge information for Fe in example minerals is plotted. Note that this diagram does not consider the possibility of 5-coordinated Fe2+/Fe3+ environments, as well as more complex mixtures (such as ternaries,). The standard errors of the pre-edge intensities (from the least-squares fits of the pre-edge) are of the order of ±0.001 (see Table 2), whereas the precision level of the measurements of pre-edge energy positions is ±0.05eV, based on the reproducibility of multiple measurements. Black circles are 1 humite; 2 rhodonite no. 1; 3 rhodonite no. 2; 4 dumortierite; 5 potassian kaersutite; 6 kaersutite; 7 vesuvianite no. 1; 8 vesuvianite no. 2; 9 franklinite, 10 magnetite no. 1 &amp; no. 2; 11 labradorite; 12 maghemite.

Summary of pre-edge characteristics for the binary mixtures between IV Fe ... Available to Purchase

Published: 01 May 2001
F igure 6. Summary of pre-edge characteristics for the binary mixtures between IV Fe 2+ , VI Fe 2+ , IV Fe 3+ , and VI Fe 3+ . In addition, pre-edge information for Fe in example minerals is plotted. Note that this diagram does not consider the possibility of 5-coordinated Fe 2+ /Fe 3
Journal Article

REMOVAL OF A BINARY DYE MIXTURE OF CONGO RED AND MALACHITE GREEN FROM AQUEOUS SOLUTIONS USING A BENTONITE ADSORBENT Available to Purchase

Abdil Özdemir, Can Serkan Keskin
Published: 01 December 2009
Clays and Clay Minerals (2009) 57 (6): 695–705.
DOI: https://doi.org/10.1346/CCMN.2009.0570603
... of those equations. For binary-mixture analysis, isotherm parameters were determined from single-component adsorption studies and the theoretical amount of dye adsorbed was calculated using an extended Langmuir isotherm. Non-linear error analysis showed that the Temkin and Redlich-Peterson isotherms gave...
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View PDF for article title, REMOVAL OF A <span class="search-highlight">BINARY</span> DYE <span class="search-highlight">MIXTURE</span> OF CONGO RED AND MALACHITE GREEN FROM AQUEOUS SOLUTIONS USING A BENTONITE ADSORBENT
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Image
Upper, photograph of a binary mixture of a 50:50 mixture of 300- and 800-μm glass spheres. Banding caused by segregation can be seen parallel to the slope angle. The lower diagram is a textured image used to highlight the dark areas and better show the banding.

Upper, photograph of a binary mixture of a 50:50 mixture of 300- and 800-μm... Available to Purchase

Published: 01 August 2003
Fig. 4. Upper, photograph of a binary mixture of a 50:50 mixture of 300- and 800-μm glass spheres. Banding caused by segregation can be seen parallel to the slope angle. The lower diagram is a textured image used to highlight the dark areas and better show the banding.
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(A) Diagram of B-δ11B indicating a binary mixture model for B source. (B) Diagram of B/Li-δ11B indicating B isotope evolutionary processes. Average B content of marine carbonate in the study area is 16 mg/kg (Zheng et al., 1989), and the δ11B value is −5.5‰ (Spivack and You, 1997). Average B content of granite is 533 mg/kg, and the δ11B value is −13.95‰ (Chaussidon and Albarede, 1992).

(A) Diagram of B-δ 11 B indicating a binary mixture model for B source. (B)... Available to Purchase

Published: 22 May 2024
Figure 10. (A) Diagram of B-δ 11 B indicating a binary mixture model for B source. (B) Diagram of B/Li-δ 11 B indicating B isotope evolutionary processes. Average B content of marine carbonate in the study area is 16 mg/kg ( Zheng et al., 1989 ), and the δ 11 B value is −5.5‰ ( Spivack and You
Journal Article

Multivariate analysis of Raman spectra for the identification of sulfates: Implications for ExoMars Available to Purchase

Guillermo Lopez-Reyes, Pablo Sobron, Catherine Lefebvre, Fernando Rull
Published: 01 August 2014
American Mineralogist (2014) 99 (8-9): 1570–1579.
DOI: https://doi.org/10.2138/am.2014.4724
... samples from laser Raman spectral data. We have critically assessed the potential of the models to automatically detect and quantify the abundance of selected Ca-, Fe-, Na-, and Mg-sulfates in binary mixtures. Samples were analyzed using a laboratory version of the Raman laser spectrometer (RLS...
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View PDF for article title, Multivariate analysis of Raman spectra for the identification of sulfates: Implications for ExoMars
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