%0 Journal Article
%A H. R. Fooladmand,
%T Improvement in Estimation of Soil-Moisture Characteristic Curve Based on Soil Particle Size Distribution and Bulk Density
%J Journal of Crop production and processing
%V 11
%N 41
%U http://jcpp.iut.ac.ir/article-1-727-en.html
%R
%D 2007
%K Soil-moisture characteristic curve, Soil particle size distribution, Bulk density, Logistic procedure, Linear procedure.,
%X Soil particle size distribution and bulk density are used for estimating soil-moisture characteristic curve. In this model, soil particle size distribution curve is divided into a number of segments, each with a specific particle radius and cumulative percentage of the particles greater than that radius. Using these data, soil-moisture characteristic curve is estimated. In the model a scale factor, a , is used which may be considered as a constant, or obtained by logistic or linear procedures. F or most conditions, soil particle size distribution curve is not available, but only the percentages of clay, silt and sand could be obtained using soil textural data. In this situation, at first a precise soil particle size distribution must be developed, based on which the soil-moisture characteristic curve can be predicted. According to the previous studies, using particle radius of 999 µ m is more appropriate than radius 125 µ m. Also, adjusted coefficients for estimating soil particle size distribution curve for radii 1 to 20 µ m was obtained. In this study, using the soil textural data of 19 different soils from UNSODA database, soil-moisture characteristic curve of each was estimated with logistic and linear methods based on initial and adjusted soil particle size distribution estimation. The estimated values were compared with the measured data. The results indicated that for most soils, using the combination of logistic and adjusted particle size distribution estimation procedures is more appropriate than the previous methods.
%> http://jcpp.iut.ac.ir/article-1-727-en.pdf
%P 63-73
%& 63
%!
%9 Research
%L A-10-2-727
%+
%G eng
%@ 2251-8517
%[ 2007