- Soil pore size distribution and water characteristics are important for water storage, water movement, and soil-plant interaction studies. Laboratory determinations of water characteristics and pore size distribution are time consuming and costly. Investigators have proposed many models to predict them from routinely available data. Most of the models are related to soil particle size distribution. However, they do not fit experiments well under different conditions. The objectives of this study are to determine whether some relationship between pore size distribution and particle size distribution exists for soils with different soil properties and to evaluate the influence of aggregation on the soil pore size distribution and water characteristics. After proper adjustment, the particle size, aggregate size, pore size distribution curves and the water characteristic curves were drawn on the same graph for each soil. Comparisons between pore size and particle size, aggregate size, and water characteristics were then made. A linearly transformed logistic response function was used to evaluate the equation d[subscript pore]= R[subscript x]d[subscript x], where R [subscript x] is the ratio coefficient of pore diameter to the diameter of component x, x = particle, aggregate, pore from water characteristics. Soil aggregation was quantitively related to pore size in this study. The calculated R[subscript aggregate] values are from 0.06 to 0.18; R [subscript particle] values are 0.87 to 3.20; and R[subscript water] values are 0.87 to 1.75. The R [subscript aggregate] values are much more consistent than the R [subscript particle] . This suggests that the aggregate size may be a better index for predicting pore size distribution, especially for swelling and high clay content soils. For soils with non-swelling clay, low clay content, and low aggregation, the shape of the pore size distribution, particle size distribution, and aggregate size distribution curves and their density function curves are very similar. The predicted pore size distribution curves fit the experimental curves very well. For soils with high swelling, high clay content and good structure, pore size distribution and aggregate size distribution have a better relation than the pore size and particle size. Water characteristic curves and pore size distribution curves did not coincide because of the different behaviors of particles and aggregates in water and in mercury. A systematic model was suggested to predict pore size distribution from particle size or aggregate size. This model divides the pore size distribution curve into six regions. After a computer program is completed, this model will be able to calculate the packing density and pore size distribution. The input variables are bulk density, particle density, and particle or aggregate size distribution data.