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  • 1
    Online Resource
    Online Resource
    American Geophysical Union (AGU) ; 1999
    In:  Water Resources Research Vol. 35, No. 8 ( 1999-08), p. 2387-2400
    In: Water Resources Research, American Geophysical Union (AGU), Vol. 35, No. 8 ( 1999-08), p. 2387-2400
    Abstract: Several relationships exist for predicting unsaturated hydraulic conductivity K (ψ) from saturated hydraulic conductivity K s and the soil‐water retention curve. These relationships are convenient for modeling of field scale system sensitivity to spatial variability in K (ψ) . It is, however, faster and simpler to measure air permeability k a at ψ = −100 cm H 2 O, than K s . This study explores the existence of a general prediction relationship between k a , measured at −100 cm H 2 O, and K s . Comparative analyses between k a ‐ K s relationships for nine Danish and Norwegian soils, six different soil treatments, and three horizons validated the establishment of a soil type, soil treatment, and depth/horizon independent log‐log linear k a ‐ K s relationship. The general k a ‐ K s relationship is based on data from a total of 1614 undisturbed, 100‐cm 3 core samples and displays general prediction accuracy better than ±0.7 orders of magnitude. The accuracy and usefulness of the general relationship was evaluated through stochastic analyses of field scale infiltration and ponding during a rainstorm event. These analyses showed possible prediction bias associated with the general k a ‐ K s relationship, but also revealed that sampling uncertainty associated with estimation of field scale variability in K s from a limited number of samples could easily be larger than the possible prediction bias.
    Type of Medium: Online Resource
    ISSN: 0043-1397 , 1944-7973
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 1999
    detail.hit.zdb_id: 2029553-4
    detail.hit.zdb_id: 5564-5
    SSG: 13
    SSG: 14
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  • 2
    Online Resource
    Online Resource
    American Society of Civil Engineers (ASCE) ; 1998
    In:  Journal of Environmental Engineering Vol. 124, No. 10 ( 1998-10), p. 979-986
    In: Journal of Environmental Engineering, American Society of Civil Engineers (ASCE), Vol. 124, No. 10 ( 1998-10), p. 979-986
    Type of Medium: Online Resource
    ISSN: 0733-9372 , 1943-7870
    RVK:
    Language: English
    Publisher: American Society of Civil Engineers (ASCE)
    Publication Date: 1998
    detail.hit.zdb_id: 991015-3
    detail.hit.zdb_id: 2011405-9
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  • 3
    In: Vadose Zone Journal, Wiley, Vol. 5, No. 4 ( 2006-11), p. 1194-1204
    Abstract: The main soil‐gas transport parameters, gas diffusivity and air permeability, and their variations with soil type and air‐filled porosity play a key role in soil‐gas emission problems including volatilization of toxic chemicals at polluted sites and the production and emission of greenhouse gases. Only limited information on soil‐gas transport parameters across the vadose zone is available, especially for soil layers below the root zone. In a series of studies, we developed new data for the soil‐gas transport parameters in different soil profiles and tested existing and new predictive models. In this first study, we measured gas diffusivity at different soil‐water matric potentials on undisturbed soil samples for three lysimeter soil profiles down to 1.4‐m depth and for two field soil profiles down to 5.6‐m depth, representing a total of 22 different soil layers with soil texture ranging from sand to sandy clay loam. Five commonly used predictive gas diffusivity models were tested. The three‐porosity model (TPM) performed best for both shallow and deep soil layers. The tortuosity–connectivity parameter X in the TPM varied with soil texture and pore size distribution, and the TPM predicted well the depth distributions of measured soil‐gas diffusivities. The TPM also requires less detailed information on the soil‐water characteristic curve than other well‐performing predictive models, and is therefore recommended for predicting variations in soil‐gas diffusivity within the vadose zone.
    Type of Medium: Online Resource
    ISSN: 1539-1663 , 1539-1663
    Language: English
    Publisher: Wiley
    Publication Date: 2006
    detail.hit.zdb_id: 2088189-7
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  • 4
    Online Resource
    Online Resource
    Wiley ; 2003
    In:  Vadose Zone Journal Vol. 2, No. 4 ( 2003-11), p. 618-626
    In: Vadose Zone Journal, Wiley, Vol. 2, No. 4 ( 2003-11), p. 618-626
    Abstract: The saturated hydraulic conductivity ( K s ) is an essential parameter for modeling water and chemical transport in the vadose zone. Since in situ measurements of K s are complex and time‐consuming, indirect methods that are dependable, fast, and inexpensive with regard to assessing magnitude and spatial variability in K s at the field scale are needed. In situ measurements of air permeability ( k a,in situ ) may fulfill these criteria. In this study, a portable insertion‐type air permeameter was used to measure k a,in situ in the Ap and B horizons at five agricultural field sites in Denmark with soil types ranging from sand to sandy loam. Around 100 k a,in situ measurements were performed within 2 d at each field site. The data showed spatial correlation in k a,in situ at three out of five sites, with correlation distances between 30 and 〉 120 m. On the basis of additional laboratory measurements on large, undisturbed soil samples (6280 cm 3 ), a log‐log linear relationship between air permeability ( k a ) measured at the actual soil‐water content (close to field capacity) and K s was found. The K s – k a relation was in agreement with an earlier predictive relationship based on undisturbed 100‐cm 3 samples from nine other field sites. Using pedotransfer functions for K s based only on soil texture yielded an unrealistic narrow range in predicted K s values whereas pedotransfer functions based on k a,in situ yielded a more realistic prediction range. Measurements of k a,in situ constitute a promising indirect method for assessing spatial variability in K s at the field scale.
    Type of Medium: Online Resource
    ISSN: 1539-1663 , 1539-1663
    Language: English
    Publisher: Wiley
    Publication Date: 2003
    detail.hit.zdb_id: 2088189-7
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  • 5
    Online Resource
    Online Resource
    Wiley ; 2011
    In:  Soil Science Society of America Journal Vol. 75, No. 3 ( 2011-05), p. 795-806
    In: Soil Science Society of America Journal, Wiley, Vol. 75, No. 3 ( 2011-05), p. 795-806
    Type of Medium: Online Resource
    ISSN: 0361-5995
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2011
    detail.hit.zdb_id: 241415-6
    detail.hit.zdb_id: 2239747-4
    detail.hit.zdb_id: 196788-5
    detail.hit.zdb_id: 1481691-X
    SSG: 13
    SSG: 21
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  • 6
    Online Resource
    Online Resource
    Wiley ; 2003
    In:  Soil Science Society of America Journal Vol. 67, No. 1 ( 2003), p. 156-
    In: Soil Science Society of America Journal, Wiley, Vol. 67, No. 1 ( 2003), p. 156-
    Type of Medium: Online Resource
    ISSN: 1435-0661
    Language: English
    Publisher: Wiley
    Publication Date: 2003
    detail.hit.zdb_id: 241415-6
    detail.hit.zdb_id: 196788-5
    detail.hit.zdb_id: 1481691-X
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  • 7
    In: Vadose Zone Journal, Wiley, Vol. 3, No. 2 ( 2004-05), p. 403-412
    Abstract: The fraction of clay that disperses in water, water‐dispersible clay (WDC), is recognized as an important property with respect to predicting soil erosion and colloid leaching. Using six mineralogically similar soils with 12, 18, 24, 28, 37, and 43% clay, we studied the influence of soil clay content, initial matric potential (IMP; ψ = −2.5, −100, and −15500 hPa), and wetting rate on WDC released in response to infiltration of low–ionic strength rainwater, using a low‐energy input measurement of WDC (LE‐WDC). These results were referenced by WDC obtained by a conventional, high‐energy input measurement based on air‐dried soil (HE‐WDC). The energy input in the dispersion procedure significantly affected the release of WDC. The amount of HE‐WDC increased with clay content, while the amount of LE‐WDC decreased with increasing clay content. The decrease in LE‐WDC was explained by an increase in cohesive strength, reflected by the increase in water‐stable aggregates (≥4 mm). A strong dependency of IMP on LE‐WDC was observed, with maximum release of LE‐WDC from soils that were at −2.5 hPa before measurement. Decreasing soil matric potential in the period before measurement reduced LE‐WDC and also reduced the dependency of soil clay content, with soils incubated at −15500 hPa releasing a low amount of LE‐WDC independent of clay content. The content of particulate organic C (POC) in the LE‐WDC decreased with increasing clay content, and increased after drying to −15500 hPa. Colloid dispersibility changed as a function of time and moisture status, with the main changes occurring during or immediately after adjustment of the moisture content. Increasing the wetting rate resulted in a doubling of the amount of LE‐WDC released from the initially dry soil (−15500 hPa), while no effect of wetting rate was observed at higher initial matric potentials.
    Type of Medium: Online Resource
    ISSN: 1539-1663 , 1539-1663
    Language: English
    Publisher: Wiley
    Publication Date: 2004
    detail.hit.zdb_id: 2088189-7
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  • 8
    In: Soil Science Society of America Journal, Wiley, Vol. 76, No. 5 ( 2012-09), p. 1564-1578
    Type of Medium: Online Resource
    ISSN: 0361-5995
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2012
    detail.hit.zdb_id: 241415-6
    detail.hit.zdb_id: 2239747-4
    detail.hit.zdb_id: 196788-5
    detail.hit.zdb_id: 1481691-X
    SSG: 13
    SSG: 21
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  • 9
    In: Vadose Zone Journal, Wiley, Vol. 5, No. 4 ( 2006-11), p. 1205-1215
    Abstract: The soil‐air permeability ( k a ) and its dependency on air‐filled porosity (ε) govern convective air and gas transport in soil. For example, accurate prediction of k a (ε) is a prerequisite for optimizing soil vapor extraction systems for cleanup of soils polluted with volatile organic chemicals. In this study, we measured k a at different soil‐water matric potentials down to 5.6‐m depth, totaling 25 differently textured soil layers. Comparing k a and soil‐gas diffusivity ( D p / D 0 ) measurements on the same soil samples suggested an analogy between how the two soil‐gas transport parameters depend on ε. The exponent in a power‐law model for k a (ε) was typically smaller than for D p (ε)/ D 0 , however, probably due to the influence of soil structure and large‐pore network being more pronounced for k a than for D p / D 0 In analogy to recent gas diffusivity models and in line with capillary tube models for unsaturated hydraulic conductivity, two power‐law k a (ε) models were suggested. One k a (ε) model is based on the Campbell pore‐size distribution parameter b and the other on the content of larger pores (ε 100 , corresponding to the air‐filled porosity at −100 cm H 2 O of soil‐water matric potential). Both new models require measured k a at −100 cm H 2 O ( k a,100 ) as a reference point to obtain reasonably accurate predictions. If k a,100 is not known, two expressions for predicting k a,100 from ε 100 were proposed but will cause at least one order of magnitude uncertainty in predicted k a The k a (ε) model based on only ε 100 performed well in the model tests and is recommended together with a similar model for gas diffusivity for predicting variations in soil‐gas transport parameters in the vadose zone.
    Type of Medium: Online Resource
    ISSN: 1539-1663 , 1539-1663
    Language: English
    Publisher: Wiley
    Publication Date: 2006
    detail.hit.zdb_id: 2088189-7
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  • 10
    Online Resource
    Online Resource
    Wiley ; 2010
    In:  Soil Science Society of America Journal Vol. 74, No. 4 ( 2010-07), p. 1084-1091
    In: Soil Science Society of America Journal, Wiley, Vol. 74, No. 4 ( 2010-07), p. 1084-1091
    Abstract: Solute diffusion controls important processes in soils: plant uptake of nutrients, sorption–desorption processes, degradation of organic matter, and leaching of radionuclides through clay barriers. We developed a new method for measuring the solute diffusivity (solute diffusion coefficient in the soil relative to water) in intact soil samples (the Multiple Tracer, Filter Separated half‐cell method using a Dynamic Model for parameter estimation [MT‐FS‐DM]). The MT‐FS‐DM method consists of half‐cell diffusion of two pairs of counterdiffusing anionic tracers and a parameter estimation scheme that allows diffusion coefficients for tracers in the two half‐cells to be estimated on the basis of two concentration profiles in each sample. The parameter estimation scheme uses a fully dynamic (time‐resolved) simulation model. From sensitivity and uncertainty analyses of the dynamic model, we found that the MT‐FS‐DM method provided reliable results. We compared diffusivities measured on a sandy loam soil using the MT‐FS‐DM method with diffusivities from six sandy loam test soils from the literature. The new method can be used to estimate solute diffusivity in intact structured soil and provides a more confident estimate for solute diffusion due to the use of two tracer profiles in the same soil sample. Especially when we are interested in determining the diffusivity of a single intact soil sample, such as when relating solute diffusivity to other proper ties of the soil (e.g., microbial activity), this method will be an improvement over existing methods.
    Type of Medium: Online Resource
    ISSN: 0361-5995 , 1435-0661
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2010
    detail.hit.zdb_id: 241415-6
    detail.hit.zdb_id: 2239747-4
    detail.hit.zdb_id: 196788-5
    detail.hit.zdb_id: 1481691-X
    SSG: 13
    SSG: 21
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