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Estimating Molecular Diffusion Coefficients of Urea in Unsaturated Soil
Author(s) -
Sadeghi A. M.,
Kissel D. E.,
Cabrera M. L.
Publication year - 1989
Publication title -
soil science society of america journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.836
H-Index - 168
eISSN - 1435-0661
pISSN - 0361-5995
DOI - 10.2136/sssaj1989.03615995005300010003x
Subject(s) - soil water , urea , tortuosity , diffusion , chemistry , soil science , water content , mathematics , analytical chemistry (journal) , thermodynamics , environmental science , environmental chemistry , geology , geotechnical engineering , physics , organic chemistry , porosity
A correct value for the molecular diffusion coefficient of urea in soil ( D s ) is required to accurately predict urea movement in soil by molecular diffusion. In previous work, to estimate D s in a simulation model of urea diffusion, we used an empirical equation of Papendick and Campbell that describes D s for a dissolved species in soil to be a product of a tortuosity factor squared, the species diffusion coefficient in water ( D w ), and the volumetric water content. Comparisons of measured and computed urea concentration with depth indicated that this equation was not adequately general over a wide range of soils. The objective of this study was to modify the parameters in the equation and, if necessary, develop a new relationship to estimate the value of D s in soils. Laboratory studies were conducted on seven soils in which the clay content ranged from 10 to 51%. Urea concentrations with depth at 48 h following surface‐application were measured and also computed using numerical techniques with an initial estimate for D s instead of computing it using Papendick and Campbell's equation. The D s was modified incrementally, until the difference between computed and measured concentrations was minimized. In all seven soils, good agreement was obtained between measured and computed urea concentrations with depth. The maximum depth of urea movement occurred in Kahola soil (approx. 3.5‐cm deep), whereas least movement occurred in Crete soil (approx. 2.6‐cm deep). Nonlinear regression analysis gave a better relationship ( D s = 0.18 × D w (Θ v /porosity) 2.98 , R 2 = 0.88) when relative water content (Θ v /porosity) of the seven soils was substituted for the volumetric water content ( D s = 0.73 × D w (Θ v ) 2.58 , R 2 = 0.66) in Papendick and Campbell's equation.