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Dong Soo Lee

Bio: Dong Soo Lee is an academic researcher from Seoul National University. The author has contributed to research in topics: Relative permeability & Loam. The author has an hindex of 2, co-authored 2 publications receiving 142 citations.

Papers
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Journal ArticleDOI
TL;DR: In this article, the authors evaluated the ability of seven models (i.e., five lognormal models, the Gompertz model, and the Fredlund model) to fit PSD data sets from a wide range of soil textures.
Abstract: An accurate mathematical representation of particle-size distributions (PSDs) is required to estimate soil hydraulic properties or to compare texture measurements from different classification systems. The objective of this study was to evaluate the ability of seven models (i.e., five lognormal models, the Gompertz model, and the Fredlund model) to fit PSD data sets from a wide range of soil textures. Special attention was given to the effect of texture on model performance. Several criteria were used to determine the optimum model with the least number of fitting parameters when other conditions are equal. The Fredlund model with four parameters showed the best performance with the majority of soils studied, even when three criteria that impose a penalty for additional fitting parameters were used. Especially, the relative performance of the Fredlund model in regard to other models increased with increase of clay content. Among all soil classes, the lognormal models with two or three parameters showed better fits for silty clay, silty clay loam, and silt loam soils, and worse fit for sandy clay loam soil.

126 citations

Journal ArticleDOI
TL;DR: In this article, the effect of fractional wettability on relative permeability of two-fluid Pc-S-kr relationships for various saturation paths was investigated. But, the authors did not consider the effects of the fraction of non-water wetting sands on these relationships.

39 citations


Cited by
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Journal ArticleDOI
TL;DR: The results indicate that at the beginning of plastic weathering processes chain scission at the polymer surface causes many very small particles to be released into the surrounding solution and those concentrations may vary between plastic types.

232 citations

Journal ArticleDOI
TL;DR: The three-porosity model (TPM) as mentioned in this paper combines three gas diffusivity models: (i) a general power-law D P (e) model, (ii) the classical Buckingham (1904) model at air saturation, and (iii) a recent macroporosity dependent model for D P at -100 cm H 2 O of soil-water metric potential (ψ).
Abstract: The soil gas diffusion coefficient (D P ) and its dependency on air-filled porosity (e) govern most gas diffusion-reaction processes in soil. Accurate D P (e) prediction models for undisturbed soils are needed in vadose zone transport and fate models. The objective of this paper was to develop a D P (e) model with lower input parameter requirement and similar prediction accuracy as recent soil-type dependent models. Combining three gas diffusivity models: (i) a general power-law D P (e) model, (ii) the classical Buckingham (1904) model for D P at air saturation, and (iii) a recent macroporosity dependent model for D P at -100 cm H 2 O of soil-water metric potential (ψ), yielded a single equation to predict D P as a function of the actual e, the total porosity (Φ), and the macroporosity (e 100 ; defined as the air-filled porosity at ψ = -100 cm H 2 O). The new model, termed the three-porosity model (TPM), requires only one point (at -100 cm H 2 O) on the soil-water characteristic curve (SWC), compared with recent D P (e) models that require knowledge of the entire SWC. The D P (e) was measured at different ψ on undisturbed soil samples from dark-red Latosols (Brazil) and Yellow soils (Japan), representing different tillage intensities. The TPM and five other D P (e) models were tested against the new data (17 sods) and data from the literature for additional 43 undisturbed soils. The new TAM performed equally well (root mean square error [RMSE] in relative gas diffusivity <0.027) as recent SWC-dependent D P (e) models and better than typically used soil type independent models.

149 citations

Journal ArticleDOI
Sabit Erşahin1, Hikmet Günal1, T. Kutlu1, B. Yetgin1, S. Coban1 
15 Dec 2006-Geoderma
TL;DR: In this article, surface fractal dimensions for particle-size distributions, D s, and their relation to specific surface area, SSA, and cation exchange capacity, CEC, for 22 soils with textures, ranging from sandy loam to clay, derived from distinct parent materials under diverse soil forming processes in central Anatolia, Turkey.

143 citations

Journal ArticleDOI
TL;DR: In this article, an equation to predict SWCC for soils with bimodal characteristics is proposed and the parameters of the proposed equation are related to the physical properties of soil and the variables of SWCC closely.

113 citations

Journal ArticleDOI
01 Nov 2006-Geoderma
TL;DR: In this article, the results of the test of the Shiozawa and Campbell Gaussian bimodal model on eight samples, six of them from different locations in Washington State (USA) and two from a hillside area of Northern Italy, were presented.

111 citations