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silt loam

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Journal Article
Published: 01 February 2004
Vadose Zone Journal (2004) 3 (1): 316.
Journal Article
Published: 01 November 2003
Vadose Zone Journal (2003) 2 (4): 715–727.
...M. Saleem Akhtar; Tammo S. Steenhuis; Brian K. Richards; Murray B. McBride Abstract The transport of Cl − and Li + was investigated in 90 undisturbed soil columns (28-cm diam., 35 cm deep) representing two soil series: structured silt loam (Hudson; fine, illitic, mesic Glossaquic Hapludalfs...
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Journal Article
Published: 01 August 2015
Vadose Zone Journal (2015) 14 (8): vzj2014.10.0153.
...M. Berli; F. Casini; W. Attinger; R. Schulin; S.M. Springman; J.M. Kirby Abstract The protection of soils against compaction requires knowledge of the mechanical behavior and properties of structured, unsaturated soils at different water suctions. This study of an agricultural silt loam soil...
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Journal Article
Published: 01 February 2013
Vadose Zone Journal (2013) 12 (1): vzj2012.0081.
... cm −3 , and organic matter content of 0.45 kg kg −1 . According to the USDA textural classification, the soil was silt loam (18% clay, 60% silt, 22% sand). Estimated field capacity using sand, silt, and clay contents was 0.29 cm 3 cm −3 ( Saxton et al., 1986 ). As an exogenous substrate, thick...
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Journal Article
Published: 01 August 2009
Vadose Zone Journal (2009) 8 (3): 623–627.
... the reestablishment of roots in former root channels in annual plant systems. Preferential flow appears to be a major factor involved in high ponded infiltration rates under long-term no-till cropping systems in silt loam loess of the Pacific Northwest ( Wuest, 2005 ). The degree of surface soil aggregation...
FIGURES
Journal Article
Published: 01 August 2005
Vadose Zone Journal (2005) 4 (3): 573–586.
... loam Calcic Cambisol (FAO classification) overlaying dense limestone at a depth of 90 cm. The plow layer (0–30 cm) consisted on average of 28.2% clay (<2 μm), 61.2% silt (2–50 μm) and 6.5% sand (0.05–2 mm), and contained 2.2% organic matter and 1.3% calcium carbonate. The particle size distribution...
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Journal Article
Published: 01 August 2005
Vadose Zone Journal (2005) 4 (3): 587–601.
... of the field study are given in Part 1 of this two-part series ( Coquet et al., 2005 ). In this paper, hydraulic properties of the various structural components of a tilled silt loam will be analyzed. The properties were measured in situ with a tension disc infiltrometer ( Coutadeur et al., 2002 ), as well...
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Three profiles of the functions θ(λ) for Columbia silt loam. (A) Two theoretical solutions show the effect of β in the definition of soil water content profile in the drier part of the wetting front. The continuous line represents β = 104581.84 (the maximum value that the equations system from the theory of Barry et al. (2010) allows) and the dashed line represents β = 4.406. (B) Obtained by the theories of Barry et al. (2010) (dashed line) and Prevedello/Barry (solid line) when both theories ignore the initial soil water content observed in this soil before infiltration. (C) Obtained by the theories of Barry et al. (2010) (dashed line) and by Prevedello/Barry (solid line) when, in the second theory, the observed initial soil water content (θi = 0.031 m3 m−3) is considered before infiltration. Equation [1] by Barry does not define the wetting front profile as well as Eq. [3] by Prevedello.
Published: 01 August 2016
Fig. 4. Three profiles of the functions θ(λ) for Columbia silt loam. (A) Two theoretical solutions show the effect of β in the definition of soil water content profile in the drier part of the wetting front. The continuous line represents β = 104581.84 (the maximum value that the equations system
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Optimized curves for the silt loam data for the five models considered.
Published: 01 August 2016
Fig. 6. Optimized curves for the silt loam data for the five models considered.
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(A) Soil water retention curve of Columbia silt loam according to the van Genuchten (1980) model (solid line) and according to the Prevedello/Barry theory for ha = −0.275 m (segmented line). (B) Soil water content as a function of λ (solid line) according to the Prevedello/Barry theory. The circles, squares, and triangles indicate observed or estimated values by Philip’s classical theory at infiltration times 88, 344, and 740 min, respectively, according to Nielsen et al. (1962).
Published: 01 August 2016
Fig. 1. (A) Soil water retention curve of Columbia silt loam according to the van Genuchten (1980) model (solid line) and according to the Prevedello/Barry theory for h a = −0.275 m (segmented line). (B) Soil water content as a function of λ (solid line) according to the Prevedello/Barry
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Thermal conductivities of (a) silt loam and (b) sand at a depth of 6.3 cm in the soil columns. Thermal conductivities were determined by heat pulse probe (HPP) (blue lines) at temperatures above 0°C and at temperatures below −2°C, and linear interpolations were used to estimate thermal conductivity values at temperatures between −2°C and 0°C (red lines).
Published: 01 May 2016
Fig. 7. Thermal conductivities of (a) silt loam and (b) sand at a depth of 6.3 cm in the soil columns. Thermal conductivities were determined by heat pulse probe (HPP) (blue lines) at temperatures above 0°C and at temperatures below −2°C, and linear interpolations were used to estimate thermal
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Time-domain waveform obtained for a silt loam soil sample using the 10-cm probe and the windowing function. The reflected windowed pulse is shown in the inset.
Published: 01 March 2016
Fig. 2. Time-domain waveform obtained for a silt loam soil sample using the 10-cm probe and the windowing function. The reflected windowed pulse is shown in the inset.
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The TDR waveform obtained from an Ida silt loam with a water content of 0.14 m3 m−3: (a) the TDR waveform and the second reflection position (t2) values from the tangent line/second-order bounded mean oscillation (TL-BMO), second-order BMO, and TL methods; and (b) the second-order BMO curve of the TDR waveform and the t2 values estimated with the second-order BMO and TL-BMO methods.
Published: 01 January 2016
Fig. 3. The TDR waveform obtained from an Ida silt loam with a water content of 0.14 m 3 m −3 : (a) the TDR waveform and the second reflection position ( t 2 ) values from the tangent line/second-order bounded mean oscillation (TL-BMO), second-order BMO, and TL methods; and (b) the second-order
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The Millville silt loam field soil (a) CO2 concentration, (b) temperature, and (c) water content at different depths, and (d) the daily average CO2 efflux measured by the LI-8100 chamber method (DOY is Day of the Year).
Published: 01 February 2014
Fig. 5. The Millville silt loam field soil (a) CO 2 concentration, (b) temperature, and (c) water content at different depths, and (d) the daily average CO 2 efflux measured by the LI-8100 chamber method (DOY is Day of the Year).
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Gas diffusion coefficient estimates in the Millville silt loam field soil obtained using the Millington and Quirk (1961), structure-dependent water-induced linear reduction (SWLR), power-law, and Soil Air Phase Individual Resistances (SAPHIR) analytical models (DOY is Day of the Year).
Published: 01 February 2014
Fig. 6. Gas diffusion coefficient estimates in the Millville silt loam field soil obtained using the Millington and Quirk (1961) , structure-dependent water-induced linear reduction (SWLR), power-law, and Soil Air Phase Individual Resistances (SAPHIR) analytical models (DOY is Day of the Year).
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The (a) water retention and (b) hydraulic conductivity of the silt loam (Soil 2 in Table 1).
Published: 01 November 2011
Fig. 3. The (a) water retention and (b) hydraulic conductivity of the silt loam (Soil 2 in Table 1 ).
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Example grids for (a) Bad Lauchstädt silt loam and (b) Fuhrberg sand drained at −1.5 kPa. Only grids with 50 nodes on a side (503) are shown. Red lines show drained pores. Note that pores &gt;800 μm that would be also drained are missing in these small grids used for visualization.
Published: 01 August 2011
Fig. 2. Example grids for (a) Bad Lauchstädt silt loam and (b) Fuhrberg sand drained at −1.5 kPa. Only grids with 50 nodes on a side (50 3 ) are shown. Red lines show drained pores. Note that pores >800 μm that would be also drained are missing in these small grids used for visualization.
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(a) Water content measurements in a silt loam soil during two irrigation events for the seven sensors shown in Fig. 6. Diurnal fluctuations in sensor response occur as a result of temperature changing the bulk soil electrical conductivity to which certain instruments are sensitive. (b) The calibration indicating the Acclima is the only sensor to achieve accurate water content determination in this trial. Deviations from absolute values are considered to occur because of small sensor sampling volume.
Published: 01 February 2008
F ig . 7. (a) Water content measurements in a silt loam soil during two irrigation events for the seven sensors shown in Fig. 6. Diurnal fluctuations in sensor response occur as a result of temperature changing the bulk soil electrical conductivity to which certain instruments are sensitive. (b
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Uranium transport in a mixture of 10% silt loam (S/L) and 90% coarse sand sediments at 24% saturation and an average pore velocity of 1.6 cm h−1. The experimental breakthrough curve is represented by the open symbols; c/co is the effluent concentration. A semi-independent prediction is shown for the two-region model where effective retardation Ref = 17.1 and the apparent equilibrium distribution coefficient Kd-ap = 0.96.
Published: 01 February 2008
F ig . 3. Uranium transport in a mixture of 10% silt loam (S/L) and 90% coarse sand sediments at 24% saturation and an average pore velocity of 1.6 cm h −1 . The experimental breakthrough curve is represented by the open symbols; c / c o is the effluent concentration. A semi-independent
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Uranium transport in a mixture of 27% silt loam (S/L) and 73% coarse sand sediments at 31% saturation and an average pore velocity of 2 cm h−1. The experimental breakthrough curve is represented by the open symbols; c/co is the effluent concentration. An independent prediction is shown for the two-region model where effective retardation Ref = 42.60 and the apparent equilibrium distribution coefficient Kd-ap = 2.34.
Published: 01 February 2008
F ig . 6. Uranium transport in a mixture of 27% silt loam (S/L) and 73% coarse sand sediments at 31% saturation and an average pore velocity of 2 cm h −1 . The experimental breakthrough curve is represented by the open symbols; c / c o is the effluent concentration. An independent prediction