Use of a lognormal distribution model for estimating soil water retention curves from particle-size distribution data

2006 ◽  
Vol 323 (1-4) ◽  
pp. 325-334 ◽  
Author(s):  
Sang Il. Hwang ◽  
Sang Il. Choi
2014 ◽  
Vol 177 (5) ◽  
pp. 803-813 ◽  
Author(s):  
Krzysztof Lamorski ◽  
Andrzej Bieganowski ◽  
Magdalena Ryżak ◽  
Agata Sochan ◽  
Cezary Sławiński ◽  
...  

Soil Science ◽  
2012 ◽  
Vol 177 (5) ◽  
pp. 321-326 ◽  
Author(s):  
Behzad Ghanbarian-Alavijeh ◽  
Allen G. Hunt

2009 ◽  
Vol 374 (3-4) ◽  
pp. 223-234 ◽  
Author(s):  
Paolo Nasta ◽  
Tamir Kamai ◽  
Giovanni B. Chirico ◽  
Jan W. Hopmans ◽  
Nunzio Romano

2018 ◽  
Vol 22 (9) ◽  
pp. 4621-4632
Author(s):  
Chen-Chao Chang ◽  
Dong-Hui Cheng

Abstract. Traditional models employed to predict the soil water retention curve (SWRC) from the particle size distribution (PSD) always underestimate the water content in the dry range of the SWRC. Using the measured physical parameters of 48 soil samples from the UNSODA unsaturated soil hydraulic property database, these errors were proven to originate from an inaccurate estimation of the pore size distribution. A method was therefore proposed to improve the estimation of the water content at high suction heads using a pore model comprising a circle-shaped central pore connected to slit-shaped spaces. In this model, the pore volume fraction of the minimum pore diameter range and the corresponding water content were accordingly increased. The predicted SWRCs using the improved method reasonably approximated the measured SWRCs, which were more accurate than those obtained using the traditional method and the scaling approach in the dry range of the SWRC.


1996 ◽  
Vol 53 (2-3) ◽  
pp. 356-356 ◽  
Author(s):  
O.O.S. BACCHI ◽  
K. REICHARDT ◽  
N.A. VILLA NOVA

Fractal scaling has been applied to soils, both for void and solid phases, as an approach to characterize the porous arrangement, attempting to relate particle-size distribution to soil water retention and soil water dynamic properties. One important point of such an analysis is the assumption that the void space geometry of soils reflects its solid phase geometry, taking into account that soil pores are lined by the full range of particles, and that their fractal dimension, which expresses their tortuosity, could be evaluated by the fractal scaling of particle-size distribution. Other authors already concluded that although fractal scaling plays an important role in soil water retention and porosity, particle-size distribution alone is not sufficient to evaluate the fractal structure of porosity. It is also recommended to examine the relationship between fractal properties of solids and of voids, and in some special cases, look for an equivalence of both fractal dimensions. In the present paper data of 42 soil samples were analyzed in order to compare fractal dimensions of pore-size distribution, evaluated by soil water retention curves (SWRC) of soils, with fractal dimensions of soil particle-size distributions (PSD), taking the hydraulic conductivity as a standard variable for the comparison, due to its relation to tortuosity. A new procedure is proposed to evaluate the fractal dimension of pore-size distribution. Results indicate a better correlation between fractal dimensions of pore-size distribution and the hydraulic conductivity for this set of soils, showing that for most of the soils analyzed there is no equivalence of both fractal dimensions. For most of these soils the fractal dimension of particle-size distribution does not indicate properly the pore trace tortuosity. A better equivalence of both fractal dimensions was found for sandy soils.


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